Brainstorming Workshop: 24th, 25th January 2024

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Publications under Monsoon Mission

  • IITM publications from Monsoon Mission Groups, (based on CFS and related models, during 2012-2019)
Publications – 2012-13
  1. Pokhrel S., Chaudhari H.S., Saha S.K., Dhakate A., Yadav R.K., Salunke K., Mahapatra S., Suryachandra A. Rao, ENSO, IOD and Indian summer monsoon in NCEP climate forecast system, Climate Dynamics, 39, November 2012, DOI:10.1007/s00382-012-1349-5, 2143-2165
  1. Pokhrel S., Rahaman H., Parekh A., Saha S.K., Dhakate A., Chaudhari H.S., Gairola R.M., Evaporation-precipitation variability over Indian Ocean and its assessment in NCEP Climate Forecast System (CFSv2), Climate Dynamics, 39, November 2012, DOI:10.1007/s00382-012-1542-6, 2585-2608.
  1. Pokhrel S., Dhakate A., Chaudhari H.S., Saha S.K.,  Status of NCEP CFS vis-a-vis IPCC AR4 models for the simulation of Indian summer monsoon, Theoretical and Applied Climatology, 111, January 2013, DOI:10.1007/s00704-012-0652-8, 65-78.
Publications – 2013-14
  1. Abhilash S., Sahai A.K., Pattnaik S., De S., Predictability during active break phases of Indian summer monsoon in an ensemble prediction system using climate forecast system,Journal of Atmospheric and Solar Terrestrial Physics, 100-101, August 2013, DOI:10.1016/j.jastp.2013.03.017, 13-23. 
  1. Chowdary J.S., Chaudhari H.S., Gnanaseelan C., Parekh A., Rao Suryachandra A., Sreenivas P., Pokhrel S., Singh P.,Summer monsoon circulation and precipitation over the tropical Indian Ocean during ENSO in the NCEP climate forecast system,
    Climate Dynamics, online, June 2013, DOI:10.1007/s00382-013-1826-5, 1-23. 
  1. Pattnaik S., Abhilash S., De S., Sahai A.K., Phani R., Goswami B.N.,  Influence of convective parameterization on the systematic errors of Climate Forecast System (CFS) model over the Indian monsoon region from an extended range forecast perspective, Climate Dynamics, 41, July 2013, DOI:10.1007/s00382-013-1662-7, 341–365. 
  1. Saha Subodh K., Pokhrel S., Chaudhari H.S., Dhakate A., Shewale S., Sabeerali C.T., Salunke K., Hazra A., Mahapatra S., Suryachandra A. Rao, Improved simulation of Indian summer monsoon in latest NCEP climate forecast system free run, International Journal of Climatology, online, July 2013, DOI:10.1002/joc.3791, 1-14. 
  1. Sooraj K.P., Seo K-H, Boreal summer intra-seasonal variability simulated in the NCEP climate forecast system: insights from moist static energy budget and sensitivity to convective moistening, Climate Dynamics, 41, September 2013, DOI: 10.1007/s00382-012-1631-6, 1569-1594. 
  1. Chaudhari H.S., Pokhrel S., Mohanty S., Saha S.K., Seasonal prediction of Indian summer monsoon in NCEP coupled and uncoupled model,Theoretical and Applied Climatology,114, November 2013, DOI:10.1007/s00704-013-0854-8, 459-477. 
  1. Chaudhari H.S., Pokhrel S., Saha S.K., Dhakate A., Yadav R.K., Salunke K., Mahapatra S., Sabeerali C.T., Suryachandra A. Rao, Model biases in long coupled runs of NCEP CFS in the context of Indian summer monsoon, International Journal of Climatology, 33, April 2013, DOI:10.1002/joc.3489, 1057-1069. 
  1. Saha Subodh K., Pokhrel S., Chaudhari H.S.,  Influence of Eurasian snow on Indian summer monsoon in NCEP CFSv2 freerun, Climate Dynamics, 41, October 2013, DOI:10.1007/s00382-012-1617-4, 1801-1815. 
  1. Sahai A.K., Sharmila S., Abhilash S., Chattopadhyay R., Borah N., Krishna R.P.M.,Joseph Susmitha, Roxy M., De S., Pattnaik S., Pillai P.A., Simulation and Extended range prediction of Monsoon Intra-seasonal Oscillations in NCEP CFS/GFS version 2 framework, Current Science, 104, May 2013, 1394-1408. 
  1. T. Sabeerali, R.A. Dandi, A.R. Dhakate, K.Salunke, S. Mahapatra and S.A. Rao,
    2013: Simulation of boreal summer intra-seasonal oscillations in the latest CMIP5 coupled GCMs, Journal of Geophysical Research, DOI:10.1002/jgrd.50403. 
  1. Abhilash S., Sahai A. K., Pattnaik S., Goswami B.N., Arun Kumar, Extended range prediction of active-break spells of Indian summer monsoon rainfall using an ensemble prediction system in NCEP Climate Forecast System, International Journal of Climatology, 34, January 2014, DOI:10.1002/joc.3668, 98-113.
Publications – 2014-15
  1. Saha Subodh K., Pokhrel S., Chaudhari H.S., Dhakate A., Shewale S., Sabeerali C.T., Salunke K., Hazra A., Mahapatra S. and Suryachandra A. Rao, “Improved simulation of Indian summer monsoon in latest NCEP climate forecast system free run”, International Journal of Climatology, 34, April 2014, DOI:10.1002/joc.3791,1628–1641. (Impact Factor: 2.886) 
  1. Sabeerali C. T., Suryachandra A Rao, George G., Nagarjuna Rao D., Mahapatra Somnath, Kulkarni Ashwini and  Murtugudde R., “Modulation of monsoon intra-seasonal oscillations in the recent warming period”, Journal of Geophysical Research: Atmospheres, 119, June 2014, 5185-5203. (Impact Factor:  174) 
  1. Hazra A., H. S. Chaudhari and Pokhrel, 2014: “Improvement in convective and stratiform rain fractions over the Indian region with introduction of new ice nucleation parameterization in ECHAM5”, Theoretical and Applied Climatology, DOI 10.1007/s00704-014-1163-6, 1-10.) 
  1. Chowdary J.S., Chaudhari H.S., Gnanaseelan C., Parekh A., Rao Suryachandra A., Sreenivas P., Pokhrel S. and Singh P., “Summer monsoon circulation and precipitation over the tropical Indian Ocean during ENSO in the NCEP climate forecast system”, Climate Dynamics, 42, April 2014, DOI:10.1007/s00382-013-1826-5, 1925-1947. 
  1. Chaudhari H. S., S. Pokhrel, S. K. Saha, A. Dhakate, and Hazra,  “Improved depiction of Indian summer monsoon in latest high resolution NCEP climate forecast system reanalysis”,  International  Journal of Climatology, November 2014, DOI: 10.1002/joc.4196. 
  1. Sabeerali C.T., Suryachandra A. Rao, Dhakate A.R., Salunke K., and Goswami B.N. , “Why ensemble mean projection of south Asian monsoon rainfall by CMIP5 models is not reliable?”, Climate Dynamics, online, July 2014, DOI:10.1007/s00382-014-2269-3. 
  1. Siddharth Kumar, Hazra A., and Goswami B.N., “Role of interaction between dynamics, thermodynamics and cloud microphysics on summer monsoon precipitating clouds over the Myanmar Coast and the Western Ghats”, Climate Dynamics, 43, August 2014, DOI:10.1007/s00382-013-1909-3, 911-924 
  1. Halder M., Hazra A., Mukhopadhyay P., and Siingh D., “Effect of the better representation of the cloud ice-nucleation in WRF microphysics schemes: A case study of a severe storm in India”, Atmospheric Research, November 2014, DOI:10.1016/j.atmosres.2014.10.022, 1-20. 
  1. Hazra A., Chaudhari H.S., Dhakate A., 2015: Evaluation of cloud properties in the NCEP CFSv2 model and its linkage with Indian summer monsoon. Theoretical and Applied Climatology. DOI: 10.1007/s00704-015-1404-3 
  1. Hazra A, Chaudhari H.S., A.S. Rao., Goswami B.N., Dhakate A., Pokhrel S., Saha S.K., 2015: Impact of revised cloud microphysical scheme in CFSv2 on the simulation of the Indian summer monsoon. International Journal of Climatology. DOI: 10.1002/joc.4320. 
  1. Sahai K., Chattopadhyay R., Joseph S., Abhilash S., Borah N., Goswami B.N., New method to compute the principal components from self-organizing maps: an application to monsoon intraseasonal oscillations, International Journal of Climatology, 34, July 2014, DOI:10.1002/joc.3885, 2925–2939. 0899-8418. 
  1. Pillai A., Sahai A.K., Moist dynamics of active/break cycle of Indian summer monsoon rainfall from NCEPR2 and MERRA reanalysis, International Journal of Climatology, 34, June 2014, DOI:10.1002/joc.3774, 1429–1444. ISSN 0899-8418.
  1. Mandke S.K., Sahai A.K., Shinde M., Dynamical Seasonal Prediction of Indian Summer Monsoon using AGCM: Weighted Ensemble Mean Approach, Earth Science India, 7, July 2014, 67-72 
  1. Abhilash , Sahai A.K., Borah N., Chattopadhyay R., Joseph S., Sharmila S., De S., Goswami B.N., Arun Kumar, Prediction and monitoring of monsoon intraseasonal oscillations over Indian monsoon region in an ensemble prediction system using CFSv2, Climate Dynamics, 42, May 2014, DOI:10.1007/s00382-013-2045-9, 2801- 2815. ISSN 0930-7575. 
  1. Sharmila S., Joseph S., Sahai A.K., Abhilash S., Chattopadhyay R., Future projection of Indian summer monsoon variability under climate change scenario: An assessment from CMIP5 climate models, Global and Planetary Change, 124, January 2015, DOI:10.1016/j.gloplacha.2014.11.004, 62–78. ISSN 0921-8181. 
  1. Abhilash , Sahai A.K., Borah N., Chattopadhyay R., Joseph S., Sharmila S., De S., Goswami B.N, Does bias correction in the forecasted SST improve the extended range prediction skill of active-break spells of Indian summer monsoon rainfall?, Atmospheric Science Letters, 15, June 2014, DOI:10.1002/asl2.477, 114–119. ISN 1530-261X 
  1. Abhilash S., Sahai A.K., Borah N., Chattopadhyay R., Joseph S., Sharmila S., De S., Goswami B.N., Arun Kumar, Prediction and monitoring of monsoon intra-seasonal oscillations over Indian monsoon region in an ensemble prediction system using CFSv2, Climate Dynamics, 42, May 2014, DOI:10.1007/s00382-013-2045-9, 2801-2815. 
  1. Borah N., Sahai A. K., Abhilash S., Chattopadhyay R. , Joseph S., Sharmila S., Kumar A., Assessment of real-time extended range forecast of 2013 Indian summer monsoon, International Journal of Climatology, online, October 2014, DOI:10.1002/joc.4178, 1-17. 
  1. Sahai A.K., Abhilash S., Chattopadhyay R., Borah N., Joseph S., Sharmila S, Rajeevan M., High-resolution operational monsoon forecasts: an objective assessment, Climate Dynamics, online, June 2014, DOI:10.1007/s00382-014-2210-9, 1-12.
  2. Goswami B.B., Deshpande M.S., Mukhopadhyay P., Saha Subodh K., Rao Suryachandra A., Murthugudde R., Goswami B.N., Simulation of monsoon intra-seasonal variability in NCEP CFSv2 and its role on systematic bias, Climate Dynamics, 43, November 2014, DOI:10.1007/s00382-014-2089-5, 2725-2745
  1. Taraphdar S., Mukhopadhyay, P.,  Ruby Leung, L.,  Zhang Fuqing, Abhilash S. andGoswami, B. N., 2014:The role of moist processes in the intrinsic predictability of Indian Ocean Cyclones, JGR-Atmosphere, (online published), DOI: 10.1002/2013JD021265. [Impact factor: 3.174] 
  1. Ganai M., Mukhopadhyaya P., PhaniMurali Krishna R. and Mahakur M., 2014:The impact of revised simplified Arakawa–Schubert convection parameterization scheme in CFSv2 on the simulation of the Indian summer monsoon.,Climate Dynamics, published online, September 2014, DOI:10.1007/s00382-014-2320-4, 1-22 [Impact factor: 4.231] 
  1. Madhuparna Halder, Anupam Hazra, P. Mukhopadhyay and DevendraaSiingh, 2014: Effect of the better representation of the cloud ice-nucleation in WRF microphysics schemes: A case study of a severe storm in India.,Atmospheric Research, published online, November 2014, DOI:10.1016/j.atmosres.2014.10.022, 1-20  [Impact Factor 2.42] 
  1. Radhika D. Kanase, P. Mukhopadhyay, P. S. Salvekar, (2014) Understanding the role of cloud and convective processes in simulating the weaker tropical cyclones over Indian Seas., Pure and Applied Geophys, online, December 2014, DOI:10.1007/s00024-014-0996-3, 1-29 [Impact factor 1.854]
Publications – 2015-16
  1. Hazra A, Chaudhari H.S., A.S. Rao., Goswami B.N., Dhakate A., Pokhrel S., Saha S.K., 2015: Impact of revised cloud microphysical scheme in CFSv2 on the simulation of the Indian summer monsoon. International Journal of Climatology. DOI: 10.1002/joc.4320December 2015,Vol 35, PP4738-4755 
  1. Abhilash S.,  Sahai A. K., Borah N., Joseph S., Chattopadhyay R., Sharmila S., Rajeevan M., Mapes B. and Arun Kumar, Improved spread-error relationship and probabilistic prediction from CFS based grand ensemble system, Journal of Applied Meteorology and Climatology, 2015, accepted on 14 April 2015 
  1. Chaudhari H. S., A. Hazra, S. K. Saha, A. Dhakate, S. Pokhrel, 2015: Indian Summer Monsoon simulations with CFSv2: A microphysics perspective, Theoretical and Applied Climatology, DOI 10.1007/s00704-015-1515-x. May 2015. 
  1. Chaudhari H.S., S. Pokhrel, H. Rahman, A. Dhakate, S. K. Saha, S. Pentakota, Gairola R.M., 2015: Influence of upper ocean on Indian summer monsoon rainfall : Studies by observation and NCEP Climate Forecast System (CFSv2), Theoretical and Applied Climatology, DOI 10.1007/s00704-015-1521-z  May 2015. 
  1. Pokhrel S., S. K. Saha, A. Dhakate, H. Rahman, H. S. Chaudhari, K. Salunke, A. Hazra, K. Sujith, D. R. Sikka, 2015: Seasonal Prediction of Indian Summer Monsoon Rainfall in NCEP CFSv2: Forecast and Predictability Error, Climate Dynamics, DOI 10.1007/s00382-015-2703-1.June 2015. 
  1. Hazra A., H. S. Chaudhari, S. Pokhrel, S. K. Saha , 2015: Indian summer monsoon precipitating clouds: role of microphysical process rates, Climate Dynamics, DOI.10.1007/500382-015-2717-8. June 2015 
  1. Hazra A., H. S. Chaudhari, S. Pokhrel, 2015: Improvement in convective and stratiform rain fractions over Indian region with introduction of new ice nucleation parameterization in ECHAM5. Theoretical and Applied Climatology,120:173–182April 2015. 
  1. Chattopadhyay Rajib, R. Phani, T. Sabeerali, A. R. Dhakate, K. Salunke, S. Mahapatra, A. Suryachandra Rao, and B. N. Goswami, 2015, “Influence of Extra-tropical Sea Surface Temperature on the Indian summer Monsoon: An unexplored source of seasonal predictability”, Quarterly Journal of the Royal Meteorological Society(QJRMS), DOI:10.1002/qj.2562; (published online on 15th May, 2015), (Impact Factor:  5.131). 
  1. Rai, A., S. K. Saha, S. Pokhrel, K. Sujith, S. Halder (2015), Influence of preonset land atmospheric conditions on the Indian summer monsoon rainfall variability, Geophys. Res. Atmos., 120, doi:10.1002/2015JD023159. 
  1. Abhik, S., P. Mukhopadhyay, P. M. Krishna, Kiran Salunke, Ashish Dhakate and Suryachandra A Rao (2015) Diagnosis of Boreal Summer Intraseasonal Oscillation in High Resolution NCEP Climate Forecast System. Climate Dynamics, 10.1007/s00382-015-2769-9 
  1. Halder, S., P. A. Dirmeyer, and S. K. Saha (2015), Sensitivity of the mean and variability of Indian summer monsoon to land surface schemes in RegCM4: Understanding coupled land-atmosphere feedbacks, J. Geophys. Res. Atmos., 120, doi:10.1002/2015JD023101. 
  1. Ranalkar M., H. S. Chaudhari, A. Hazra, G. K. Sawaisarje, S. Pokhrel, 2016: Dynamical features of incessant heavy rainfall event of June 2013 over Uttarakhand, India, Natural Hazards. DOI: 10.1007/s11069-015-2040-February 2016. 
  1. Chaudhari H.S., S. Pokhrel, S. K. Saha, A. Dhakate, A. Hazra, 2015: Improved depiction of Indian summer monsoon in latest high resolution NCEP climate forecast system reanalysis. International Journal of Climatology. 35: 3102-3119. DOI: 10.1002/joc.4196.August 2015. 
  1. Bidyut B. Goswami, R. P. M. Krishna, P. Mukhopadhyay, Marat Khairoutdinov, and B. N. Goswami, 2015: Simulation of the Indian Summer Monsoon in the Superparameterized Climate Forecast System Version 2: Preliminary Results. Climate,Vol: 28, Issue:21, November, 8988–9012. doi: http://dx.doi.org/10.1175/JCLI-D-14-00607.1 
  1. Joshi M.K., Rai A. Combined interplay of the Atlantic multidecadal oscillation and the interdecadal Pacific oscillation on rainfall and its extremes over Indian subcontinent Climate Dynamics, 44, June 2015, DOI:10.1007/s00382-014-2333-z, 3339-3359
  1. Chaudhari H. S., S. Pokhrel, A. Kulkani, A. Hazra, S. K. Saha, 2016: Clouds-SST relationship and interannual variability modes of Indian summer monsoon in the context of clouds and SSTs: Observational and modelling aspects, International Journal of Climatology, DOI: 10.1002/joc.4664. February 2016. 
  1. Saha S. K., S. Pokhrel, K. Salunke, A. Dhakate, H. S. Chaudhari, H. Rahman, K. Sujith, A. Hazra, D. R. Sikka, 2016: Potential Predictability of Indian Summer Monsoon Rainfall in NCEP CFSv2, Journal of Advances in Modelling Earth Systems, DOI:10.1002/2015MS000542. February 2016. 
  1. De S., A. Hazra, H. S. Chaudhari, 2016: Does the modification in "critical relative humidity" of NCEP CFSv2 dictate Indian mean summer monsoon forecast? : Evaluation through thermo-dynamical and dynamical aspects, Climate Dynamics, 46: 1197-1222(February 2016). 
  1. Saha S. K., K. Sujith, S. Pokhrel, H. S. Chaudhari, A. Hazra, 2015: Predictability of global monsoon rainfall in NCEP CFSv2, Climate Dynamics, DOI:10.1007/s00382-015-2928-z. December 2015.
  2. Chattopadhyay, R., Rao, S. A., Sabeerali, C. T., George, G., Rao, D. N., Dhakate, A. and Salunke, K., 2015, Large-scale teleconnection patterns of Indian summer monsoon as revealed by CFSv2 retrospective seasonal forecast runs. International Journal of Climatology, doi:10.1002/joc.4556, December 2015. (Impact Factor 3.398 ) 
  1. George, G., Rao, D. N., Sabeerali, C. T., Srivastava, A., and Rao, S. A., 2015, Indian summer monsoon prediction and simulation in CFSv2 coupled model. Atmospheric Science Letters, Published online, November 2015, DOI:10.1002/asl.599, 1-8. (Impact Factor 1.876). 
  1. Sharmila S., Joseph S., Chattopadhyay R., Sahai A.K., Goswami B.N., Asymmetry in space-time characteristics of Indian summer monsoon intraseasonal oscillations during extreme years: Role of seasonal mean states, International Journal of Climatology, 35, June 2015, DOI:10.1002/joc.4100, 1948-1963. ISSN 0899-8418. 
  1. Sahai K., Chattopadhyay R., Joseph S., Mandal R., Dey A., Abhilash A., Krishna R.P.M., Borah N., Real-time performance of a multi-model ensemble based extended range forecast system in predicting the 2014 monsoon season based on NCEP-CFSv2, Current Science, 109, November 2015, 1802-1813. ISSN 0011- 3891. 
  1. Sahai A.K., Abhilash S., Chattopadhyay R., Borah N., Joseph S., Sharmila S, Rajeevan M., High-resolution operational monsoon forecasts: an objective assessment, Climate Dynamics, 44, June 2015, DOI:10.1007/s00382-014-2210-9, 3129-3140. . ISSN 0930-7575. 
  1. Joseph , Sahai A.K., Sharmila S., Abhilash S., Borah N., Chattopadhyay R., Pillai P.A., Rajeevan M., Arun Kumar, North Indian heavy rainfall event during June 2013: diagnostics and extended range prediction, Climate Dynamics, 44, May 2015, DOI:10.1007/s00382-014-2291-5, 2049-2065 . ISSN 0930-7575. 
  1. Joseph S., Sahai A.K., Abhilash S., Chattopadhyay R., Borah N., Mapes B.E., Rajeevan , Kumar A., Development and evaluation of an objective criterion for the Real-Time prediction of Indian Summer Monsoon onset in a coupled model framework, Journal of Climate, 28, August 2015, DOI:10.1175/JCLI-D-14- 00842.1, 6234-6248. ISSN 0894-8755. 
  1. Borah , Sahai A. K., Abhilash S., Chattopadhyay R. , Joseph S., Sharmila S., Kumar A., Assessment of real-time extended range forecast of 2013 Indian summer monsoon, International Journal of Climatology, 35, October 2015, I:10.1002/joc.4178, 2860-2876. ISSN 0899-8418. 
  1. Abhilash S., Sahai A.K., Borah N., Joseph S., Chattopadhyay R., Sharmila S., Rajeevan M., Mapes B.E., Kumar A., Improved Spread–Error Relationship and Probabilistic Prediction from the CFS-Based Grand Ensemble Prediction System, Journal of Applied Meteorology and Climatology, 54, July 2015, DOI:11175/JAMC-D-14-0200.1, 1569-1578. ISSN 1558-8424. 
  1. Abhilash S., Sahai A.K., Borah N., Joseph S., Chattopadhyay R., Sharmila S., Rajeevan M., Mapes B.E., Kumar A., Better spread-error relationship in a multimodel ensemble prediction system, Bulletin of the American Meteorological Society, 96, August  2015, 1228-1229. ISSN 0273-0979.
Publications – 2016-17
  1. Siddharth Kumar, Anika Arora, R.Chattopadhyay, AnupamHazra, SuryachandraA.Rao, andN.Goswam, “Seminal role of stratiform clouds in large‑scale aggregation of tropical rain in boreal summer monsoon intraseasonal oscillations” Climate Dynamics48, February 2017, DOI:10.1007/s00382-016-3124-5, 999–1015,Impact Factor 4.708. 
  1. Hazra A., Chaudhari H.S., andDhakate A., “Evaluation of cloud properties in the NCEP CFSv2 model and its linkage with Indian summer monsoon”, Theoretical and Applied Climatology, April 2016, DOI:10.1007/s00704-015-1404-3, Vol.124, pp 31-41, Impact Factor 015. 
  1. Hazra A., Chaudhari H.S., Pokhrel S., and SahaSubodh K., “Indian summer monsoon precipitating clouds: role of microphysical process rates”, Climate Dynamics, April 2016, DOI:10.1007/s00382-015-2717-8, Vol.46, pp 2551-2571,Impact Factor 673. 
  1. Hazra A., Padma kumari B., Maheskumar R.S.,and Chen J-P,  “Effect of mineral dust and soot aerosols on ice microphysics near the foothills of the Himalayas: A numerical investigation”,Atmospheric Research, May 2016, DOI:10.1016/j .atmosres.2015.12.005, Vol. 171, pp 41–55, Impact Factor 844. 
  1. Pokhrel S., SahaSubodh K., Dhakate A., Rahman H., Chaudhari H.S., Salunke K., Hazra A., Sujith K., andSikka D.R. “Seasonal prediction of Indian summer monsoon rainfall in NCEP CFSv2: forecast and predictability error”, Climate Dynamics, April 2016, 46, 2305-2326,  DOI:10.1007/s00382-015-2703-1, Impact Factor 4.673. 
  1. Chaudhari H. S., A. Hazra, S. K. Saha, A. Dhakate,and Pokhrel, Indian Summer Monsoon simulations with CFSv2: A microphysics perspective, Theoretical and Applied Climatology, July 2016,125:253–269, Impact Factor 2.015. 
  1. Halder S., SahaSubodh K., Dirmeyer P.A., Chase T.N., andGoswami B.N., Investigating the impact of land-use land-cover change on Indian summer monsoon daily rainfall and temperature during 1951–2005 using a regional climate model, Hydrology and Earth System Sciences, May 2016, DOI:10.5194/hess-20-1765-2016, 1765–1784, Impact Factor 535. 
  1. Abhik S., Mukhopadhyay P., Krishna R.P.M., Salunke K.D., Dhakate A.R., andSuryachandra A. Rao Diagnosis of boreal summer intraseasonal oscillation in high resolution NCEP climate forecast system Climate Dynamics, 46, May 2016, DOI:10.1007/s00382-015-2769-9, 3287-3303, Impact Factor 673. 
  1. Chowdary J.S., Harsha H.S., Gnanaseelan C., Srinivas G., Parekh A., Pillai P., andNaidu C.V., Indian summer monsoon rainfall variability in response to differences in the decay phase of El Niño,Climate Dynamics, online, June 2016, DOI:10.1007/s00382-016-3233-1, 1-21, Impact Factor 673. 
  1. Pradhan, M., Yadav, R.K., Ramu Dandi, A., Srivastava, A., Phani, M.K. and Rao, S.A., “Shift in MONSOON–SST teleconnections in the tropical Indian Ocean and ENSEMBLES climate models' fidelity in its simulation”. International Journal of Climatology, online, July 2016,doi:10.1002/joc.4841. 
  1. Pillai Prasanth A.,  Suryachandra A. Rao,  Gibies George, D. Nagarjuna Rao,   Somnath Mahapatra, M. Rajeevan, Ashish Dhakate and Kiran Salunke,  “How distinct are the two flavors of El Niño in retrospective forecasts of Climate Forecast System version 2 (CFSv2)?”, Climate Dynamics, DOI 10.1007/s00382-016-3305-2, Published online on 10th August, 2016. 
  1. Pillai P.A., Sahai A.K. “Moisture dynamics of the northward and eastward propagating boreal summer intraseasonal oscillations: possible role of tropical Indo-west Pacific SST and circulation” Climate Dynamics, 47, August 2016, 1335–1350. 
  1. Saha Subodh K., Sujith K., Pokhrel S., Chaudhari H. S., Hazra A. “Predictability of  Global Monsoon Rainfall in NCEP CFSv2” Climate Dynamics, 47, September 2016, DOI:10.1007/s00382-015-2928-z, 1693–1715. 
  1. Arora A., Suryachandra A. Rao, Chattopadhyay R., Goswami T., George G., Sabeerali C.T., “ Role of Indian Ocean SST variability on the recent global warming hiatus”, Global and Planetary Change,”143, August 2016, 21-30. 
  1. Chakravorty S., Gnanaseelan C., Pillai P.A. Combined influence of remote and local SST forcing on Indian Summer Monsoon Rainfall variability” Climate Dynamics, 47, October 2016, DOI:10.1007/s00382-016-2999-5, 2817-2831. 
  1. Chattopadhyay R., Suryachandra A. Rao, Sabeerali C.T., George G., Rao Nagarjuna D., Dhakate A., Salunke K. “Large-scale teleconnection patterns of Indian summer monsoon as revealed by CFSv2 retrospective seasonal forecast runs”, International Journal of Climatology, 36, July 2016, DOI:10.1002/joc.4556, 3297–3313. 
  1. Chaudhari H.S., Hazra A., Saha Subodh K., Dhakate A., Pokhrel S. “Indian summer monsoon simulations with CFSv2: a microphysics perspective”, Theoretical and Applied Climatology, 125, July 2016, DOI:10.1007/s00704-015-1515, 253-269. 
  1. Chaudhari H.S., Pokhrel S., Rahman H., Dhakate A., Saha Subodh K., Pentakota S., Gairola R.M. “Influence of upper ocean on Indian summer monsoon rainfall: studies by observation and NCEP climate forecast system(CFSv2)”, Theoretical and Applied Climatology, 125, August 2016, DOI:10.1007/s00704-015-1521-z, 413–426. 
  1. Hazra A., H. S. Chaudhari, M. Ranalkar, J. P. Chen, 2017: Role of interactions between cloud microphysics, dynamics and aerosol in the heavy rainfall event of June 2013 over Uttarakhand, India, Quarterly Journal of Royal Meteorological Society, online, February 2017, DOI:10.1002/qj.2983, 1-13,Impact Factor 3.669. 
  1. Saha S. K., K. Sujith, S. Pokhrel, H. S. Chaudhari, A. Hazra, 2017: Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2, Journal of Advances in Modeling Earth Systems, 9, January 2017, DOI:10.1002/2016MS000845, 1-20, Impact Factor 6.417. 
  1. V., P. N. Sen, H. S. Chaudhari, J. H. Oh,2017: Tropical Cyclones over the North Indian Ocean: experiments with the high resoultion global icosahedral grid point model GME, Meteorolo. Atmos. Phys., DOI 10.1007/s00703-017-0503-3. 
  1. Dandi A. Ramu, Suryachadra A.  Rao, Prasanth A. Pillai, M. Pradhan, G. George, D. Nagarguna Rao, S. Mahapatra, S. Pai and  M. Rajeevan, 2017, “Prediction of  seasonal summer monsoon rainfall over  homogenous regions of  India using dynamical prediction system”,  Journal of Hydrology, Volume 546, March 2017, Pages : 103 – 112,http://dx.doi.org/10.1016/j.jhydrol.2017.01.010. 
  1. Chaudhari H.S., Pokhrel S., Kulkarni Aiay, Hazra A., Subodh Kumar Saha “Clouds SST relationship and interannual variability modes of Indian summer monsoon in the context of clouds and SSTs:observational and modelling aspects” International Journal of Climatology, 36, December 2016, DOI:10.1002/joc.4664, 4723-4740. 
  1. Chaudhari H.S., Hazra A., Pokhrel S., Chakrabarty Chandrima, Saha Subodh K., Sreenivas P. “SST and OLR relationship during Indian summer monsoon: a coupled climate modelling perspective” Meteorology and Atmospheric Physics, online, March 2017, DOI:10.1007/s00703-017-0514-0, 1-15, Impact Factor 1.172. 
  1. Rai A., Saha Subodh K. “Evaluation of energy fluxes in the NCEP climate forecast system version 2.0 (CFSv2)” Climate Dynamics, online, March 2017, DOI:10.1007/s00382-017-3587-z, 1-14, Impact Factor 4.708 
  1. Sahai A.K., Borah N., Chattopadhyay R., Joseph S., Abhilash S., Bias-correction and downscaling technique for operational extended range forecasts based on self organizing map, Climate Dynamics, online, June 2016, DOI:10.1007/s00382- 016-3214-4, 1-15. . ISSN 1432-0894. 
  1. Siddharth Kumar, Arora A., Chattopadhyay R., Hazra A., Suryachandra A. Rao, Goswami B.N. , Seminal role of stratiform clouds in large scale aggregation of tropical rain in boreal summer monsoon intraseasonal oscillations, Climate Dynamics, 48, February 2017, DOI:10.1007/s00382-016-3124-5, 999–1015. 
  1. Sahai N . K . , Rai S . , Sahai A . K . , Abhilash S . , Intraseasonal variability of the South Asian monsoon and its relationship with the Indo–Pacific sea surface temperature in the NCEP CFSv2, International Journal of Climatology, DOI : 10 . 1002 / joc . 5349. 
  1. Pillai P.A., Sahai A.K., Moisture dynamics of the northward and eastward propagating boreal summer intraseasonal oscillations: possible role of tropical Indo-west Pacific SST and circulation, Climate Dynamics, 47, August 2016, 1335– 1350. ISSN 0930-7575. 
  1. Mandke S.K., Sahai A.K., Twin tropical cyclones in the Indian Ocean: the role of equatorial waves, Natural Hazards, 84, December 2016, DOI:10.1007/s11069- 016-2546-z, 2211-2224. ISSN 0921-030X. 
  1. Joseph S., Sahai A. K., Chattopadhyay R., Sharmila S., Abhilash S., Rajeevan M., Mandal R., Dey A., Borah N., Phani R., Extremes in June rainfall during Indian summer monsoons of 2013 and 2014: Observational Analysis and Extended range prediction, Quarterly Journal of Royal Meteorological Society, 142, April 2016, DOI:10.1002/qj.2730, 1276- 1289. ISSN 0035-9009. 
  1. Agarwal N.K., Naik S.S., De S., Sahai A.K., Why are the Indian monsoon transients short-lived and less intensified during droughts vis-à-vis good monsoon years? An inspection through scale interactive energy exchanges in frequency domain, International Journal of Climatology, 36, June 2016, DOI:10.1002/joc.4531, 2958-2978. ISSN 0899-8418.
Publications – 2017-18
  1. Hazra A., H. S. Chaudhari, S. K. Saha, and S. Pokhrel, 2017: “Effect of cloud microphysics on Indian summer monsoon precipitating clouds: A coupled climate modelling study”, Journal of Geophysical Research: Atmospheres, DOI 10.1002/2016JD026106. 
  1. Hazra A., Chaudhari H. S., Ranalkar M.R., Chen Jen-Ping Role of interactions between cloudmicrophysics, dynamics and aerosol in the heavy rainfall event of June 2013 over Uttarakhand, India Quarterly Journal of Royal Meteorological Society, 143 B, June 2017, DOI:10.1002/qj.2983, 986-998. 
  1. Hazra A., H. S. Chaudhari, S. K. Saha, S. Pokhrel, B. N. Goswami, 2017: Progress towards achieving the Challenge of Indian Summer Monsoon Climate Simulation in a Coupled Ocean-Atmosphere Model, Journal of Advances in Modelling Earth Systems.DOI: 1002/2017MS000966. 
  1. Goswami B.B., Khouider B., Phani R., Mukhopadhyay P., Majda A. (2017): Improving Synoptic and Intra-Seasonal Variability in CFSv2 via Stochastic Representation of Organized Convection. Geophysical Research Letters, 44, DOI:10.1002/2016GL071542, 1-10. 
  1. Goswami T., Suryachandra A. Rao, Hazra A., Chaudhari H.S., Dhakate A., Salunke K., Mahapatra S. (2017): Assessment of simulation of radiation in NCEP Climate Forecasting System (CFS V2), Atmospheric Research, 193, DOI:10.1016/j.atmosres.2017.04.013, 94-106. 
  1. Pradhan M., Yadav R.K., Ramu Dandi A., Srivastava A., Phani M.K., Rao S.A. Shift in MONSOON–SST teleconnections in the tropical Indian Ocean and ENSEMBLES climate models fidelity in its simulation, International Journal of Climatology, 37, April 2017, DOI:10.1002/joc.4841, 2280-2294. 
  1. Chowdary J.S., Harsha H.S., Gnanaseelan C., Srinivas G., Parekh A., Pillai P., Naidu C.V. Indian summer monsoon rainfall variability in response to differences in the decay phase of El Niño Climate Dynamics, 48, April 2017, DOI:10.1007/s00382-016-3233-1, 2707-2727. 
  1. Srivastava, A.,  A. Rao, D. Nagarjuna Rao, G. George, and M. Pradhan(2017), Structure, characteristics, and simulation of monsoon low-pressure systems in CFSv2 coupled model, J. Geophys. Res. Oceans, 122, 6394–6415, doi:10.1002/2016JC012322. 
  1. Srivastava, A., Pradhan, M., Goswami, B. N., & Rao, S. A. (2017). Regime shift of Indian summer monsoon rainfall to a persistent arid state: external forcing versus internal variability. Meteorology and Atmospheric Physics, 1-14. https://doi.org/10.1007/s00703-017-0565-2. 
  1. Pradhan M., Suryachandra A. Rao, Srivastava Ankur, Dakate A., Salunke K., Shameera K.S. Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance Scientific Reports, 7:14229, October 2017, DOI:10.1038/s41598-017-12594-y, 1-14. 
  1. Pillai P.A., Rao S.A., Das R.S., Salunke K., Dhakate A. ‘Potential predictability and actual skill of Boreal Summer Tropical SST and Indian summer monsoon rainfall in CFSv2-T382: Role of initial SST and teleconnections’ Climate Dynamics, online, October 2017, DOI:10.1007/s00382-017-3936-y, 1-18. 
  1. Sujith K, S. K. Saha, S. Pokhrel, A. Hazra  and H. S. Chaudhari, 2017, The Dominant Modes of Recycled Monsoon Rainfall over India Journal of Hydrometeorology,  Oct, 2017 https://doi.org/10.1175/JHM-D-17-0082.1. 
  1. Goswami B.B., Khouider B., Phani R., Mukhopadhyay P., Majda A. Implementation and calibration of a stochastic multicloud convective parameterization in the NCEP Climate Forecast System (CFSv2) Journal of Advances in Modeling Earth Systems, 9, July 2017, DOI:10.1002/2017MS001014. 
  1. Goswami B.B., Khouider B., Phani R., Mukhopadhyay P., Majda A.J. Improved tropical modes of variability in the NCEP Climate Forecast System (version 2) via a Stochastic Multicloud Model Journal of Atmospheric Sciences, 74, October 2017, DOI:10.1175/JAS-D-17-0113.1, 3339-3366. 
  1. Goswami T., Suryachandra A. Rao, Hazra A., Chaudhari H.S., Dhakate A., Salunke K., Mahapatra S. Assessment of simulation of radiation in NCEP Climate Forecasting System (CFS V2) Atmospheric Research, 193, September 2017, DOI:10.1016/j.atmosres.2017.04.013, 94-106. 
  1. Sawaisarje G.K., Khare P., Chaudhari H.S., Puvlarasan N., Ranalkar M.R. Easterly wave activity and associated heavy rainfall during the pre‑monsoon season of 2005,Meteorology and Atmospheric Physics, online, December 2017, DOI:10.1007/s00703-017-0575-0, 1-15. 
  1. Sreenivas, P., Vivek, S. & Seshagiri Rao, K.  (2018). Role of Andaman Sea in the intensification of cyclones over Bay of Bengal, Nat Hazards, published online on 16th January, 2018. https://doi.org/10.1007/s11069-018-3170-x. 
  1. Vivek Seelanki, P. Sreenivas & KVSR. Prasad (2018): Impact of Aquarius Sea-Surface Salinity Assimilation in Improving the Ocean Analysis Over Indian Ocean, Marine Geodesy, published online on 18th January, 2018. DOI: 10.1080/2017.1422817. 
  1. Pokhrel S., A. Hazra, H. S. Chaudhari, S. K. Saha, F. Paulose, S. Krishna, P. M. Krishna, S. A. Rao, 2018: Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme, International Journal of Climatology, DOI: DOI: 10.1002/joc.5478. 
  1. Pokhrel S., Hazra A., Saha Subodh K., Chaudhari H.S., Metya A., Ghude S.D., Konwar M.Contrast in monsoon precipitation over oceanic region of north Bay of Bengal and east equatorial Indian Ocean,  International Journal of Climatology, online, February 2018, DOI:10.1002/joc.5433, 1-15  . 
  1. Terray P., Sooraj K.P., Masson S., Krishna R.P.M., Towards a realistic simulation of boreal summer tropical rainfall climatology in state-of-the-art coupled models: role of the background snow-free land albedo Climate Dynamics, online, July 2017, DOI:10.1007/s00382-017-3812-9, 1-27. 
  1. Abhik S., Krishna R.P.M., Mahakur M., Ganai M., Mukhopadhyay P., Dudhia J. Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1 Journal of Advances in Modeling Earth Systems, 9, May 2017, DOI:10.1002/2016MS000819, 1-28. 
  1. Abhilash S., Mandal R., Dey A., Phani R., Joseph S., Chattopadhyay R., De S., Agarwasl N.K., Sahai A.K., Devi S.S., Rajeevan M. Role of enhanced synoptic activity and its interaction with intraseasonal oscillations on the lower extended range prediction skill during 2015 monsoon season Climate Dynamics, online, January 2018, DOI:10.1007/s00382-018-4089-3, 1-12. 
  1. Malviya S., Mukhopadhyay P., Phani Murali Krishna, Dhakate A., Salunke K. Mean and intra-seasonal variability simulated by NCEP Climate Forecast System model (version 2.0) during boreal winter: Impact of horizontal resolution International Journal of Climatology, online, March 2018, DOI: 10.1002/joc.5480, 1-16. 
  1. Susmitha Joseph, A. K. Sahai, R. Phani, R. Mandal, A. Dey and R. Chattopadhyay, Evaluation of Extended Range Forecast  Skill on  the Subdivisional  scale over  India,  IITM  Research Report    RR- 137, ESSO/IITM/SERP/SR/01(2017)/188, published  May 2017  
  1. Sahai A.K., Sharmila S., Chattopadhyay R., Abhilash S., Joseph S., Borah N., Goswami B.N., Pai D.S., Srivastava A.K, Potential predictability of wet/dry spells transitions during extreme monsoon years: optimism for dynamical extended range prediction, Natural Hazards, 88,  2017, DOI 10.1007/s11069-017-2895-2, 853-865 
  1. Abhilash, R. Mandal, A. Dey, R. Phani, S. Joseph, R. Chattopadhyay, S. De, N. K. Agarwal, A. K. Sahai, S. Sunitha Devi & M. Rajeevan, Role of Enhanced Synoptic Activity and its Interaction with Intra-seasonal oscillations on the lower extended range prediction skill during 2015 monsoon season, Climate Dynamics, online, January 2018, DOI:10.1007/s00382-018-4089-3, 1-12 
  1. Rajib Chattopadhyay, R. Phani Murali Krishna, Susmitha Joseph, Avijit Dey, Raju Mandal and K. Sahai,  A Comparison of Extended-Range Prediction of Monsoon in the IITM-CFSv2 with ECMWF S2S Forecast System, IITM Research Report No. RR-139 ESSO/IITM/SERP/SR/01(2018)/190) 
  1. Susmitha Joseph, R. Mandal, A. K. Sahai, R. Phani, A. Dey and R. Chattopadhyay, Diagnostics and Real-Time Extended Range Prediction of Heat Waves over India, IITM Research Report No. RR-141 ESSO/IITM/SERP/SR/03(2018)/192, March 2018) 
  1. Sahi N. K., Rai S., Sahai A. K., Abhilash S., Intraseasonal variability of the South Asian monsoon and its relationship with the Indo–Pacific sea surface temperature in the NCEP CFSv2, International Journal of Climatology, DOI:10.1002/joc.5349 (in press)  
  1. Ashok K., Shamal M Marathe, Sahai A. K., Swapna P, Nonlinearities in the Evolutional Distinctions Between El Niño and La Niña Types, Journal of Geophysical Research: Oceans, DOI:10.1002/2017JC013129 (in press) 
  1. Soumik Ghosh, R. Bhatla, R. K. Mall,Prashant K. Srivastava and  A. K. Sahai , Aspect of ECMWF downscaled Regional Climate Modeling in simulating Indian summer monsoon rainfall and dependencies on lateral boundary conditions,  , Theoretical and Applied Climatology(2018),https://doi.org/10.1007/s00704-018-2432-6. 
  1. Sourabh Shrivastava, Sarat C. Kar, A. K. Sahai   and Anu Rani Sharma, Identification of Drought Occurrences Using Ensemble Predictions up to 20-Days in Advance, , Water Resource Management(2018), https://doi.org/10.1007/s11269-018-1921-9.  
  1. Chattopadhyay, K. V. Rao, A. K. Sahai, R. Balasubramanian, , D. S. Pai, D. R. Pattanaik, S. V. Chandras and S. Khedikar,Usability of extended range and seasonal weather forecast in Indian agriculture,   MAUSAM, 69, 1 (2018), 29-44.
Publications – 2018-19
  1. Pillai P.A., Rao S.A., Das R.S., Salunke K., Dhakate A. “Potential predictability and actual skill of Boreal Summer Tropical SST and Indian summer monsoon rainfall in CFSv2-T382: Role of initial SST and teleconnections” Climate Dynamics, 51, July 2018, DOI:10.1007/s00382-017-3936-y, 493-510. 
  1. Sabeerali C.T., Ajayamohan R.S., Rao Suryachandra A. Loss of predictive skill of Indian summer monsoon rainfall in NCEP CFSv2 due to misrepresentation of Atlantic zonal mode Climate Dynamics, online, August 2018, DOI:10.1007/s00382-018-4390-1, 1-21. 
  1. Prasanth A. Pillai, Suryachandra A. Rao, Dandi A. Ramu, Maheswar Pradhan, Gibies George (2018): “Seasonal prediction skill of Indian summer monsoon rainfall in NMME models and monsoon mission CFSv2. International journal of climatology” (online). 
  1. Pentakota S., Seelanki V., Rao K.S. Role of Andaman sea in the intensification of cyclones over Bay of BengalNatural Hazards, 91, April 2018, DOI:10.1007/s11069-018-3170-x, 1113-1125. 
  1. Pokhrel S., Hazra A., Chaudhari H.S., Saha Subodh K., Paulose F., Krishna S., Krishna Phani Murli, Suryachandra A. Rao “Hindcast skill improvement in Climate Forecast System (CFSv2) using modified cloud scheme” International Journal of Climatology, 38, June 2018, DOI:10.1002/joc.5478, 2994-3012. 
  1. Pokhrel S., Hazra A., Saha Subodh K., Chaudhari H.S., Metya A., Ghude S.D., Konwar M. Contrast in monsoon precipitation over oceanic region of north Bay of Bengal and east equatorial Indian Ocean International Journal of Climatology, 38 (Suppl.), April 2018, DOI:10.1002/joc.5433, e1061-e1075. 
  1. Malviya S, Mukhopadhyay P, Phani Murali Krishna R, Dhakate A, Salunke K. Mean and intra-seasonal variability simulated by NCEP Climate Forecast System model (version 2.0) during boreal winter: Impact of horizontal resolution. J. Climatol. 2018;1-16. https://doi.org/10.1002/joc.5480 (Impact Factor: 3.6). 
  1. De, N. K. Agarwal Anupam Hazra  Hemantkumar S. Chaudhari and  A. K. Sahai, On unravelling mechanism of interplay between cloud and large scale circulation: a grey area in climate science, Climate Dynamics, , 52, March 2019, DOI:10.1007/s00382-018-4211-6, 1547–1568. 
  1. Arora, A. & Kumar, S. What makes protracted El Niño to last longer than canonical El Niño? Theoretical and Applied Climatology, online, May 2018, DOI:10.1007/s00704-018-2503-8, 1-17. 
  1. Arora A., Rao Suryachandra A., Pillai P., Dhakate A., Salunke K., Srivastava A. Assessment of prediction skill in equatorial Pacific Ocean in high resolution model of CFS Climate Dynamics, 51, November 2018, DOI:10.1007/s00382-018-4084-8, 3389–3403. 
  1. Siddharth Kumar, Arora A. On the connection between remote dust aerosol and Indian summer monsoonTheoretical and Applied Climatology, online, September 2018, DOI:10.1007/s00704-018-2647-6, 1-12. 
  1. Sarkar S, Mukhopadhyay P, Phani Murali Krishna R, Dutta S. Coupled model fidelity in capturing atmospheric internal processes during organization and intensification of boreal summer intra-seasonal oscillation. Int J Climatol. 2018;1 –15. https://doi.org/10.1002/joc.5736. 
  1. Samanta D., Hameed S.N., Jin D., Thilakan V., Ganai M., Suryachandra A. Rao, Deshpande M. Impact of a narrow coastal Bay of Bengal sea surface temperature front on an Indian Summer Monsoon simulation. Scientific Reports, 8:17694, December 2018, DOI:10.1038/s41598-018-35735-3, 1-12. 
  1. Sreeush, M. G., R. Saran, V. Valsala, Sreenivas. Pentakota, K.V.S.R. Prasad, R. Murtugudde, “Variability, trend and controlling factors of Ocean acidification over Western Arabian Sea upwelling region” (2018): Marine Chemistry, doi.org/10.1016/j.marchem.2018.12.002. 
  1. Chaudhari H.S., Hazra A., Pokhrel S., Chakrabarty Chandrima, Saha Subodh K., Sreenivas P. SST and OLR relationship during Indian summer monsoon: a coupled climate modelling perspective Meteorology and Atmospheric Physics, 130, April 2018, DOI:10.1007/s00703-017-0514-0, 211-225. 
  1. Chaudhari H.S., Hazra A., Pokhrel S., Saha Subodh Kumar, Taluri S.S. Simulation of extreme Indian summer monsoon years in Coupled Model Intercomparison Project Phase 5 models: Role of cloud processes International Journal of Climatology, 39, January 2019, DOI:10.1002/joc.5851, 901-920. 
  1. Dandi Ramu A., Chowdary J.S., Ramakrishna S.S.V.S., KumarS.R.U.B. Diversity in the representation of large-scale circulation associated with ENSO-Indian summer monsoon teleconnections in CMIP5 models Theoretical and Applied Climatology, 132, April 2018, DOI:10.1007/s00704-017-2092-y, 465-478. 
  1. Mohit Mayoor, Anjani Kumari, Somnath Mahapatra, Prabeer Kumar Parhi and Harendra Prasad Singh, 2018, “Comparison of four precipitation based Drought Indices in Marathwada region of Maharashtra, India”, International Journal of Advance and Innovative Research, Volume 5, Issue 4 (X): October - December, 2018, p. 60-70, ISSN 2394 – 7780 (University Grants Commission Journal No.: 63571), [e-ISSN Number : 23947780 ]. 
  1. Saha S. K., A. Hazra, S. Pokhrel, H. S. Chaudhari, K. Sujith, A. Rai, H. Rahaman, B. N. Goswami, 2019: Unraveling the mystery of Indian Summer Monsoon prediction: Improved estimate of predictability limit, Journal of Geophysical Research Atmospheres,DOI: 10.1029/2018JD030082. 
  1. Archana Rai, Subodh K. Saha and K. Sujith (2019), Implementation of snow albedo schemes of varying complexity and their performances in offline Noah and Noah coupled with NCEP CFSv2, Climate Dynamics, doi:https://doi.org/10.1007/s00382-019-04632-4. 
  1. Malay Ganai, P. Mukhopadhyay, R. Phani Murali Krishna, S. Abhik, Madhuparna Halder: Revised cloud and convective parameterization in CFSv2 improve the underlying processes for northward propagation of Intraseasonal oscillations as proposed by the observation-based study, Climate Dynamics, Feb 2019, 1-13, https://doi.org/10.1007/s00382-019-04657-9. 
  1. Sujith K., S. K. Saha, A. Rai, S. Pokhrel, H. S. Chaudhari, A. Hazra, R. Murtugudde, B. N. Goswami, 2019: Effects of a multilayer snow scheme on the global teleconnections of the Indian summer monsoon, Quaternary Journal of Royal Meteorological Society, DOI: 10.1002/qj.3480. 
  1. Choudhury B.A., Saha Subodh Kumar, Konwar M., Sujith K., Deshamukhya A. Rapid drying of Northeast India in the last three decades: Climate change or natural variability? Journal of Geophysical Research, 124, January 2019, DOI:10.1029/2018JD029625, 227-237. 
  1. Kumari Anjani, Mayoor Mohit, Singh H.P., Mahapatra S., “Flood risk monitoring of Koshi river basin in north plains of Bihar state of India, using Standardized Precipitation Index” International Journal of Advance and Innovative Research, 5, September 2018, 21-30. 
  1. Seelanki V., Pentakota S., Prasad K.V.S.R. Impact of aquarius sea-surface salinity assimilation in improving the ocean analysis over Indian Ocean Marine Geodesy, 41, April 2018, DOI:10.1080/01490419.2017.1422817, 144-158. 
  1. Chakravarty K., Pokhrel S., Kalshetti M., Nair Anish K.M., Kalapureddy M.C.R., Deshpande S.M., Das Subrata Kumar, Pandithurai G., Goswami B.N. “Unraveling of cloud types during phases of monsoon intraseasonal oscillations by a Ka-band Doppler weather radar” Atmospheric Science Letters, 19:e847, September 2018, DOI:10.1002/asl.847, 1-7. 
  1. Pithani P., Ghude S.D., Prabhakaran Thara, Karipot A., Hazra A., Kulkarni R., Chowdhuri Subharthi, Resmi E.A., Konwar M., Murugavel P., Safai P.D., Chate D.M., Tiwari Y., Jenamani R.K., Rajeevan M. WRF model sensitivity to choice of PBL and microphysics parameterization for an advection fog event at Barkachha, rural site in the Indo-Gangetic basin, India Theoretical and Applied Climatology, online, June 2018, DOI:10.1007/s00704-018-2530-5, 1-15. 
  1. Chinthalu G.R., Dharmaraj T., Patil M.N., Dhakate A.R., Pawar S.D., Siingh D. Severe cyclonic storm JAL, air-sea interaction perspectives and floods along Andhra Pradesh-Tamilnadu coast Journal of Indian Geophysical Union, 22, May 2018, 341-348. 
  1. Kumar Daksh, Varsha Kumari, Anjani Kumari, Mohit Mayoor, Harendra Prasad Singh, and Somnath Mahapatra, 2018, “Drought Risk Assessment in Vidarbha Region of Maharashtra, India, using Standardized Precipitation Index”, International Journal of Innovative Knowledge Concepts, 6(10) October, 2018, p. 13-23, ISSN: 2454-2415, Vol. 6, Issue 10, October, 2018, DOI 11.25835/IJIK-277, doie.org. 
  1. Satya Prakash and Somnath Mahapatra, 2018, “Flood Susceptibility Pattern Mapping along Visakhapatnam Coastal Zone of India, using Multi-Influencing-Factor (MIF) Technique in conjunction with Remote Sensing Data” International Journal of Advance and Innovative Research, Volume 5, Issue 4 (X): October - December, 2018, p. 21-33, ISSN 2394 – 7780 (University Grants Commission Journal No.: 63571) [ e-ISSN Number : 23947780 ]. 
  1. De, N. K. Agarwal Anupam Hazra  Hemantkumar S. Chaudhari and  A. K. Sahai, On unravelling mechanism of interplay between cloud and large scale circulation: a grey area in climate science, Climate Dynamics, 2019 vol. no. 52, page no. 1547 - 1568.
  1. Ganesh S.S., Sahai A.K., Abhilash S., Joseph S., Dey A., Mandal R., Chattopadhyay R., Phani R.,   A New Approach to Improve the Track Prediction of Tropical Cyclones Over North Indian Ocean,  Geophysical Research Letters, 45, April 2018, DOI:10.1029/2018GL077650, 1-9
  1. Fadnavis, S., Roy, C., Chattopadhyay, R., Sioris, C. E., Rap, A., Müller, R., Kumar, K. R., and Krishnan, R.: Transport of trace gases via eddy shedding from the Asian summer monsoon anticyclone and associated impacts on ozone heating rates, Chem. Phys., 18, August 2018, DOI:10.5194/acp-18-11493-2018, 11493-11506
  1. Ganesh S.S., Abhilash S., Sahai A.K., Joseph S., Chattopadhyay R., Mandal R., Dey A., Phani R., Genesis and track prediction of pre‑monsoon cyclonic storms over North Indian Ocean in a multi‑model ensemble framework, Natural Hazards, online, October 2018, DOI:10.1007/s11069-018-3522-6, 1-22
  1. Rajib Chattopadhyay, Anjali Thomas, R. Phani, Susmitha Joseph and A.K. Sahai,   A Study on the Capability of the NCEP-CFS model in simulating the Frequency and Intensity of High-Intensity Rainfall Events over Indian Region in the High and Low Resolutions". Modeling of Earth System Sciences, online, October 2018, DOI:10.1007/s40808-018-0520-3, 1-16
  1. Sinha, N., Chattopadhyay, R. & Chakraborty, S, Bay of Bengal branch of Indian summer monsoon and its association with spatial distribution of rainfall patterns over India.   Appl Climatol. (2018),  online, November 2018, DOI:10.1007/s00704-018-2709-9, 1-13
  1. Dey, R. Chattopadhyay, A. K. Sahai, R. Mandal, S. Joseph, R. Phani, S. Abhilash, An operational tracking method for MJO using Extended Empirical Orthogonal Functions (EEOFs), Pure and Applied Geophysics, online, December 2018, DOI:10.1007/s00024-018-2066-8, 1-21
  1. S, Krishnakumar. E. K, A. K. Sahai, B. Chakrapani, Gireesh Gopinath and P. Vijaykumar, Changing Characteristics of Droughts over Kerala, India : Inter-Annual Variability and Trend, Asia-Pacific Journal of Atmospheric Sciences, DOI: 10.1007/s13143-018-0060-9, pp1-17 
  1. Jisha Joseph, S. Ghosh,A. Pathak, and A K Sahai, Hydrologic Impacts of Climate Change: Comparisons between Hydrological Parameter Uncertainty and Climate Model Uncertainty, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2018.08.080, Vol 566, pp 1-22, November 2018
  1. Susmitha Joseph, A K Sahai, Phani Murali Krishna, Raju Mandal, Avijit Dey, Rajib Chattopadhyay and Abhilash S, Skill evaluation of extended range forecast of rainfall and temperature over meteorological subdivisions of India, published online, Weather and Forecasting, 34, February 2019, DOI:10.1175/WAF-D-18-0055, 81-101 
  1. Veeranjaneyulu Ch & A. A. Deo, Study of upper ocean parameters during passage of tropical cyclones over Indian seas, International Journal of Remote Sensing, DOI: 10.1080/01431161.2019.1573336, 2019. 
  1. Dhar, R.B., Chakraborty, S., Chattopadhyay, Rajib, Sikdar, P.K. . Impact of Land-Use/Land-Cover Change on Land Surface Temperature Using Satellite Data: A Case Study of Rajarhat Block, North 24-Parganas District, West Bengal. J Indian Soc Remote Sens (2019) 47: 331. https://doi.org/10.1007/s12524-019-00939-1.
  1. Nitesh Sinha, S. Chakraborty, Rajib Chattopadhyay, B.N. Goswami, P.M. Mohan, Dipak K. Parua, Dipankar Sarma, Amey Datye, S. Sengupta, Subir Bera, K.K. Baruah, Isotopic investigation of the moisture transport processes over the Bay of Bengal, Journal of Hydrology, Volume 2, 2019, 100021, ISSN 2589-9155, https://doi.org/10.1016/j.hydroa.2019.100021.
Publications – 2020-21
  1. Dey Avijit, Chattopadhyay R., Sahai S.K., Mandal R., Joseph S., Phani M.K., Pattanaik D.R. “MJO Prediction Skill Using IITM Extended Range Prediction System and Comparison with ECMWF S2S, Pure and Applied Geophysics, Online, April 2020, DOI: 10.1007/s00024-020-02487-z, 1-13.
  1. Dutta U., Chaudhari H.S., Hazra A., Pokhrel S., Saha Subodh Kumar, Veeranjaneyulu C. “Role of convective and microphysical processes on the simulation of monsoon intra-” seasonal oscillation, Climate Dynamics, 55, November 2020, 2377-2403, DOI:10.1007/s00382-020-05387-z, 1-27. Impact factor: 4.048. 
  1. Ganai M., Tirkey S., Krishna R.P.M., Mukhopadhyay P. The impact of modified rate of precipitation conversion parameter in the convective parameterization scheme of operational weather forecast model (GFS T1534) over Indian summer monsoon region, Atmospheric Research, Online, August 2020, DOI:10.1016/j.atmosres.2020.105185, 1-16, Published online, Impact Factor 4.114. 
  1. Goswami T., Goswami B.B., Krishna R.P.M., Mukhopadhyay P.Evaluation of SP-CAM and SP-CCSM in capturing the extremes of summer monsoon rainfall over Indian region, Journal of Earth System Science, 129:116, April 2020, DOI:10.1007/s12040-020-1381-5, Impact Factor 1.104. 
  1. Goswami T., Mukhopadhyay P., Ganai M., Krishna R.P.M., Mahakur M., Han J. How changing cloud water to rain conversion profile impacts on radiation and its linkage to a better Indian summer monsoon rainfall simulation, Theoretical and Applied Climatology, 141, August 2020, DOI:10.1007/s00704-020-03222-3, 947–958, Impact Factor: 2.720. 
  1. Hari K.B.R.R., Sreenivas P., Rao Suryachandra A., George G., Salunke K., Krishna P.M.,Dandi A.R., Rao D.N.“Impact of horizontal resolution on sea surface temperature bias and air-sea interactions over the tropical Indian Ocean in CFSv2 coupled model, International Journal of Climatology, Online, January 2020, DOI:10.1002/joc.6496, 1-19 
  1. Hazra A., Chaudhari H.S., Saha Subodh K., Pokhrel S., Dutta U., Goswami B.N.Role of cloud microphysics in improved simulation of the Asian monsoon quasi-biweekly mode (QBM), Climate Dynamics, 54, January 2020, DOI:10.1007/s00382-019-05015-5, 599–614. 
  1. Kanase R.D., Deshpande M.S., Krishna R.P.M., Mukhopadhyay P.Evaluation of convective parameterization schemes in simulation of tropical cyclones by Climate Forecast System model: Version 2, Journal of Earth System Science, 129: 168, August 2020, DOI:10.1007/s12040-020-01433-w, 1-18. Impact Factor 1.104. 
  1. Kaur M., Krishna R.P.M., Joseph S., Dey Avijit, Mandal M., Chattopadhyay R., Sahai A.K., Mukhopadhyay P., Abhilash S.Dynamical downscaling of a multimodel ensemble prediction system: Application to tropical cyclones, Atmospheric Science Letters, 21: e971, August 2020, DOI:10.1002/asl.971, 1-11. Impact Factor 1.796. 
  1. Mandke S.K., Pillai P.A., Sahai A.K.Simulation of monsoon intra-seasonal oscillations in Geophysical Fluid Dynamics Laboratory models from Atmospheric Model Intercomparison Project integrations of Coupled Model Intercomparison Project Phase 5, International Journal of Climatology, Online, February 2020, DOI: 10.1002/joc.6536., Impact Factor: 3.601. 
  1. Mohanty U.C., Mohapatra M., Ashok K., Krishnan R., Chowdary J.S.,Mukhopadhyay P. Indian monsoons variability and extreme weather event: Recent improvements in observations and modelling, Proceedings of Indian National Science Academy, 86, March 2020, DOI: 10.16943/ptinsa/2020/49817, 503-524, I.F: 0.0. 
  1. Mukhopadhyay P., Krishnan R., Nanjundiah R.S., Mohapatra M. Prediction of Extreme Events: Current status and future pathways against the backdrop of climate change, Bulletin of the American Meteorological Society, 101, July 2020, DOI:10.1175/BAMS-D-20-0037.1, E1137–E1141. Impact Factor : 8.166. 
  1. Mukhopadhyay P., Roy K. Evaluation of the convective mass flux profiles associated with cumulus parameterization schemes of CMIP5 models, Journal of Earth System Science, 129: 138, June 2020, DOI:10.1007/s12040-020-01400-5, 1-10. I. F. 1.104. 
  1. Pattanaik D.R., Sahai A.K., Muralikrishna R.P. , Mandal R., Dey A. Active-break transitions of monsoons over India as predicted by coupled model ensembles, Pure and Applied Geophysics, Online, May 2020, DOI: 10.1007/s00024-020-02503-2, 1-32. 
  1. Ramu D.A, Chowdary J.S., Pillai P. A., Sradhara Sidhan N.S., Koteswararao K., Ramakrishna S.S.V.S, “Impact of El Niño Modoki on Indian summer monsoon rainfall: role of western north Pacific circulation in observations and CMIP5 models, International Journal of Climatology, 40, March 2020, DOI:10.1002/joc.6322, 2117-2133. 
  1. Roy K., Mukhopadhyay P., Krishna R.P.M., Ganai M., Mahakur M., Rao T.N., Nair A.K.M., Ramakrishna S.S.V.S.Assessment of climate models in relation to the low‐level clouds over the southern Indian Ocean, Quarterly Journal of Royal Meteorological Society, 146, October 2020, DOI:10.1002/qj.3847, 3306-3325. Impact Factor: 3.198. 
  1. Roy Kumar, Mukhopadhyay P., Krishna R.P.M., Ganai M., Mahakur M., Rao T.N., Nair A.K.M., Ramakrishna S.S.V.S Sensitivity of climate models in relation to the “pool of inhibited cloudiness” over South of the Bay of Bengal, International Journal of Climatology, 40, June 2020, DOI:10.1002/joc.6423, 3714-3730.Impact Factor: 3.601. 
  1. Shahi N.K., Rai S.Sahai A.K The relationship between the daily dominant monsoon modes of South Asia and SST, Theoretical and Applied Climatology, 142, June 2020, DOI:10.1007/s00704-020-03304-2, 59-70, Impact Factor 2.720. 
  1. Shahi N. K., Rai S., Sahai A. K., Abhilash S,Intra-seasonal variability of the South Asian monsoon and its relationship with the Indo–Pacific sea surface temperature in the NCEP CFSv2, International Journal of Climatology, DOI:10.1002/joc.5349 (in press). 
  1. Francis P.A, Jithin A.K, Effy J.B., Chatterjee A., Chakraborty K., Paul A., Balaji B., Shenoi S.S.C., Biswamoy P., Mukherjee A., Singh P., … Rao Suryachandra A., et al,High-resolution Operational Ocean Forecast and reanalysis System for the Indian Ocean, Bulletin of the American Meteorological Society, 101, August 2020, DOI:10.1175/BAMS-D-19-0083.1, E1340–E1356, Impact Factor 8.166 
  1. Hari K.B.R.R., Sreenivas P., Rao Suryachandra A., George G., Salunke K., Krishna P.M., Dandi A.R., Rao D.N., Impact of horizontal resolution on sea surface temperature bias and air–sea interactions over the tropical Indian Ocean in CFSv2 coupled model, International Journal of Climatology, 40, September 2020, DOI:10.1002/joc.6496, 4903-4921, Impact Factor 3.601. 
  1. Baburaj P.P., Abhilash S., Mohankumar K., Sahai A.K.,On the Epochal Variability in the Frequency of Cyclones during the Pre-Onset and Onset Phases of the Monsoon over the North Indian Ocean, Advances in Atmospheric Sciences, 37, June 2020, DOI:10.1007/s00376-020-9070-5, 634–651, Impact Factor 1.140. 
  1. Dey Avijit, Chattopadhyay R., Sahai S.K., Mandal R., Joseph S., Phani M.K., Pattanaik D.R., MJO Prediction Skill Using IITM Extended Range Prediction System and Comparison with ECMWF S2S, Pure and Applied Geophysics, 177, October 2020, DOI: 10.1007/s00024-020-02487-z, 5067–5079, Impact Factor 1.466 
  1. Kalshetti M., Chattopadhyay R., Phani R., Joseph S., Sahai A.K., Climatological patterns of sub-seasonal eddy flux transfer based on the co-spectral analysis over the Indian region and the derivation of an index of eddy transfer for operational tracking, International Journal of Climatology, Online, August 2020, DOI:10.1002/joc.6821, 1-20, Published online, Impact Factor 3.601 
  1. Pattanaik D.R., Sahai A.K., Muralikrishna R.P. , Mandal R., Dey A., “ Active-Break transitions of monsoons Over India as predicted by Coupled Model Ensembles, Pure and Applied Geophysics, 177, September 2020, DOI: 10.1007/s00024-020-02503-2, 4391–4422, Impact Factor 1.466. 
  1. Raghav P., Borkotoky S.S., Joseph J., Chattopadhyay R., Sahai A.K., Ghosh S.,Revamping extended range forecast of Indian summer monsoon , Climate Dynamics, 55, September 2020, DOI:10.1007/s00382-020-05454-5, 3397–3411, Impact Factor 4.048 
  1. Sahai A.K., Mandal R., Joseph S., Saha S., Awate P., Dutta S., Dey Avijit, Chattopadhyay R., Phani R., Pattanaik D.R., Despande S.,Development of a probabilistic early health warning system based on meteorological parameters, Scientific Reports, 10:14741, September 2020, DOI: 10.1038/s41598-020-71668-6, 1-13, Impact Factor 4.011. 
  1. Anil Kumar V., Pandithurai G., Kulkarni G., Hazra A., Patil S.S., Dudhambe S.D., Patil R.D., Chen J-P, Niranjan K. Atmospheric ice nuclei concentration measurements over a high altitude-station in the Western Ghats, India, Atmospheric Research, 235:104795, May 2020, DOI: 10.1016/j.atmosres.2019.104795, 1-12 Impact Factor 4.114. 
  1. Dandi A.R., Pillai P.A., Chowdary J.S., Srinivas D., Srinivas G., Koteswara Rao K., Nageswararao M.M.,Inter-annual variability and skill of tropical rainfall and SST in APCC seasonal forecast models, Climate Dynamics, Online, October 2020, DOI: 10.1007/s00382-020-05487-w, 1-18, Published online, Impact Factor 4.048. 
  1. Kumar Bipin, Nanjudiah R.S., Bhowmik M, “Prospective applications of artificial intelligence/machine learning techniques in earth sciences, Current Science, 119, August 2020, 424-425 , Impact Factor 0.756.. 
  1. Thomas L., Grabowski W.W., Kumar Bipin,“Diffusional growth of cloud droplets in homogeneous isotropic turbulence: DNS, scaled-up DNS, and stochastic model, Atmospheric Chemistry and Physics, 20, July 2020, DOI:10.5194/acp-20-9087-2020, 9087–9100, Impact Factor 5.668. 
  1. Fadnavis S., Sioris C.E., Wagh N., Chattopadhyay R., Tao M., Chavan P., Chakraborty T., A rising trend of double tropopauses over South Asia in a warming environment: implications for moistening of the lower stratosphere, International Journal of Climatology, Online, May 2020, DOI:10.1002/joc.6677, 1-16, Published online, Impact Factor 3.601 
  1. Kalshetti M., Chattopadhyay R., Phani R., Joseph S., Sahai A.K.,, Climatological patterns of sub-seasonal eddy flux transfer based on the co-spectral analysis over the Indian region and the derivation of an index of eddy transfer for operational tracking , International Journal of Climatology, Online, August 2020, DOI:10.1002/joc.6821, 1-20, Impact Factor 3.601. 
  1. Chowdhuri S., Siddharth Kumar, Banerjee T.,Revisiting the role of intermittent heat transport towards Reynolds stress anisotropy in convective turbulence, Journal of Fluid Mechanics, 899: A26, September 2020, DOI:10.1017/jfm.2020.471, 1-41, Impact Factor 3.137. 
  1. Hazra A., Chaudhari H.S., Saha Subodh K., Pokhrel S., Dutta U., Goswami B.N., Role of cloud microphysics in improved simulation of the Asian monsoon quasi-biweekly mode (QBM) PDF file Source: Climate Dynamics, 54, January 2020, DOI:10.1007/s00382-019-05015-5, 599–614, Impact Factor 4.048. 
  1. Das S.K., Simon S., Kolte Y.K., Murali Krishna U.V., Deshpande S.M., Hazra A,Investigation of raindrops fall velocity during different monsoon seasons over the Western Ghats, India, Earth and Space Science, 7:e2019EA000956, February 2020, DOI: 10.1029/2019EA000956, 1-14, Impact Factor 2.152 
  1. Devika M.V., Pillai P.A., Recent changes in the trend, prominent modes, and the inter-annual variability of Indian summer monsoon rainfall centered on the early twenty-first century, Theoretical and Applied Climatology, 139, January 2020, DOI:10.1007/s00704-019-03011-7, 815–824, Impact Factor 2.720. 
  1. Ramu D.A, Chowdary J.S., Pillai P. A., Sradhara Sidhan N.S., Koteswararao K., Ramakrishna S.S.V.S.,Impact of El Niño Modoki on Indian summer monsoon rainfall: role of western north Pacific circulation in observations and CMIP5 models, International Journal of Climatology, 40, March 2020, DOI: 10.1002/joc.6322, 2117-2133, Impact Factor 3.601. 
  1. Joshi M.K., Rai A., Kulkarni Ashwini, Kucharski F.,Assessing changes in characteristics of hot extremes over India in a warming environment and their driving mechanism, Scientific Reports, 10:2631, February 2020, DOI: 10.1038/s41598-020-59427-z, 1-14. Impact Factor 4.011. 
  1. Choudhury B.A., Konwar M., Hazra A., Mohan G.M., Pithani P., Ghude S.D., Deshamukhya A., Barth M.C., A diagnostic study of cloud physics and lightning flash rates in a severe pre-monsoon thunderstorm over northeast India, Quarterly Journal of Royal Meteorological Society, February 2020, DOI:10.1002/qj.3773, 1-22, Impact Factor 3.198. 
  1. Sreenivas P., Kolusu S.R., Gade S.V., Srinivasu K., Prithvi Raj J.,A method for constructing synthetic parallel tracks for augmenting in-situ data with satellite observation, Journal of Atmospheric and Solar Terrestrial Physics, 199:105191, March 2020, DOI:10.1016/j.jastp.2020.105191, 1-5, Impact Factor 1.790. 
  1. Dutta U, H S. Chaudhari, A. Hazra, S. Pokhrel, S K Saha,C., Veeranjaneyulu 2020: Role of convective and microphysical processes on the simulation of monsoon intraseasonal oscillation. Climate Dynamics,Impact Factor 4.048, https://doi.org/10.1007/s00382-020-05387-z. 
  1. Pillai P.A., Ramu D.A., Nai, R.C,Recent changes in the major modes of Asian summer monsoon rainfall: influence of ENSO-IOD relationship” Theoretical and Applied Climatology, Online, November 2020, DOI:10.1007/s00704-020-03454-3, 1-13 Impact Factor 2.720 
  1. Saha S.K., Hazra A., Pokhrel S., Chaudhari H.S., Rai A., Sujith K., Rahaman H., Goswami B.N.,Reply to comment by E. T. Swenson, D. Das, and J. Shukla on "Unraveling the mystery of indian summer monsoon prediction: Improved Estimate of predictability limit" Journal of Geophysical Research: Atmospheres, 125: e2020JD033242, November 2020, DOI:0.1029/2020JD033242, 1-9 
  1. Sujata K. Mandke, Prasanth A. Pillai and Atul Kumar Sahai(2020), Simulation of monsoon intra-seasonal oscillations in Geophysical Fluid Dynamics Laboratory models from Atmospheric Model Intercomparison Project integrations of Coupled Model Intercomparison Project Phase 5", international journal of climatology, 2020, DOi: 10.1002/joc.6536 Impact Factor 3.601 
  1. Srivastava, A., Rao, S.A., Pradhan, M., Pillai P.A. and Prasad V.S. et al, Gain of one-month lead time in seasonal prediction of Indian summer monsoon prediction: comparison of initialization strategies. Theor Appl Climatol (2020) Impact Factor 2.720, https://doi.org/10.1007/s00704-020-03470-3-1-14. 
  1. Siddharth Kumar, R. Phani, P. Mukhopadhyay & C. Balaji, An assessment of radiative flux biases in the climate forecast system model CFSv2” Climate Dynamics (December 2020)Impact Factor 4.048, https://doi.org/10.1007/s00382-020-05546-2. 
  1. M. Mohapatra, D. S. Pai, A.K. Sahai, P. Mukhopadhyay, Ashis Mitra, Aarti Bandgar, C.J. Johny, D.R. Pattanaik, Divya Surendran, M. Benke, Medha Deshpande, Malay Ganai, Monica Sharma, Naresh Kumar, O.P. Sreejith, R. Chattopadhyay, R. Phani Murali Krishna, S. Abhilash, Sunitha Devi, S. Joseph, A. Suryachandra Rao, Sahadat Sarkar, Snehlata Tirkey, Tanmoy Goswami and V.S. Prasad, Clivar Exchanges special issue on Monsoon Mission Contribution of Monsoon Mission to Operational Advances: Short to Medium Range, Extended Range and Seasonal Forecasts", No. 79, November 2020 DOI: 10.36071/clivar.79.2020, Edited by Dr. M. Rajeevan and Dr. J. Santos. 
  1. A.K. Sahail , P. Mukhopadhyay, S. Joseph, R. Chattopadhyay, R. Phani, R. Mandal, A. Dey, V. Valsala, Medha Deshpande, Radhika Kanase, Greeshma Mohan, Madhuparna Halder, D. R. Pattanaik, Clivar Exchanges special issue on Monsoon Mission Monsoon Mission Societal Applications: Agriculture, Water, Health and Energy, No. 79, November 2020 DOI: 10.36071/clivar.79.2020, Edited by Dr. M. Rajeevan and Dr. J. Santos. 
  1. Saha, S. K., Konwar, M., Pokhrel, S., Hazra, A., Chaudhari, H. S., & Rai, A. (2020), Inter‐play between sub‐seasonal rainfall and global predictors in modulating interannual to multi‐decadal predictability of the ISMR. Geophysical Research Letters, 47, e2020GL091478, https://doi.org/10.1029/2020GL091458. 
  1. Sreenivas Pentakota, Sagar V. Gade, Suryachandra A. Rao, Cheng Da, Kriti Bhargava, Chu-Chun Chang, Eviatar Bach, Eugenia K, and Travis S, (2020), Advances in Coupled Data Assimilation, Ensemble Forecasting, and Assimilation of Altimeter Observations, CLIVAR EXCHANGES, No. 79 , Special issue on "India's Monsoon Mission", November 2020, Edited by Dr. M. Rajeevan and Dr. J. Santos, p. 27-30, DOI: 10.36071/clivar.79.2 
  1. Suryachandra A. Rao , A.K. Sahai, P. Mukhopadhyay, A. K. Mitra, V.S. Prasad, P.A. Francis, D.S. Pai, D.R. Pattanaik, Clivar Exchanges special issue on Monsoon Mission Major Achievements of Monsoon Mission, No. 79, November 2020 DOI: 10.36071/clivar.79.2020, Edited by Dr. M. Rajeevan and Dr. J. Santos. 
  1. Gill Martin, Suryachandra Rao, Rajib Chattopadhyay, Vincent Moron, Ashis Mitra, and Raghavendra Ashrit, Overview of Rainfall Metrics for the Assessment of Model Simulations of the Monsoons: Current Status and Future Perspectives GEWEX Quarterly, Vol 30, No. 4. Published by the International GEWEX Project Office (Peter J. van Oevelen, Director Shannon F. Macken, Editor) 
  1. S. Saranya Ganesh A. K. Sahai S. Abhilash S. Joseph Manpreet Kaur R. Phani , An Improved Cyclogenesis Potential and Storm Evolution Parameter for North Indian Ocean, Earth and Space Science, (August 2020), https://doi.org/10.1029/2020EA001209. 
  1. Prakash Pithani, Sachin D. Ghude, R. K. Jenamani, Mrinal Biswas, C. V. Naidu, Sreyashi Debnath, Rachana Kulkarni, Narendra G. Dhangar, Chinmay Jena, Anupam Hazra, R. Phani, P. Mukhopadhyay, Thara Prabhakaran, Ravi S. Nanjundiah, and M. Rajeevan, Real-Time Forecast of Dense Fog Events over Delhi: The Performance of the WRF Model during the WiFEX Field Campaign Weather and Forecasting, 739–756, v35, 2020 DOI: https://doi.org/10.1175/WAF-D-19-0104.1. 
  1. Ravi S. Nanjundiah and Suryachandra A. Rao, "Monsoon Mission Overview", Clivar Exchanges, special issue on Monsoon Mission, No. 79, November 2020 DOI: 10.36071/clivar.79.2020, Edited by Dr. M. Rajeevan and Dr. J. Santos. 
  1. Devika M.V., Pillai P.A, Recent changes in the trend, prominent modes, and the interannual variability of Indian summer monsoon rainfall centered on the early twenty-first century, Theoretical and Applied Climatology, 139, January 2020, DOI:10.1007/s00704-019-03011-7, 815–824. 
  1. Fadnavis S., Sioris C.E., Wagh N., Chattopadhyay R., Tao M., Chavan P., Chakraborty T., A rising trend of double tropopauses over South Asia in a warming environment: implications for moistening of the lower stratosphere, International Journal of Climatology, Online, May 2020, DOI:10.1002/joc.6677, 1-16. 
  1. Pithani P., Ghude S.D., Jenamani R.K., Biswas M., Naidu C.V., Debnath S., Kulkarni R., Dhangar N.G., Jena C., Hazra A., Phani R., Mukhopadhyay P., Prabhakaran Thara, Nanjundiah R.S., Rajeevan M,Real-Time forecast of dense fog events over Delhi: The performance of the WRF model during the WiFEX field campaign, Weather and Forecasting, 35, April 2020, DOI:10.1175/WAF-D-19-0104.1, 739-756. I. F. : 2.288. 
  1. Pokhrel S., Dutta U., Rahaman H., Chaudhari H.S., Hazra A., Saha Subodh K., Veeranjaneyulu C, Evaluation of different heat flux products over the Tropical Indian Ocean, Earth and Space Science, 7: e2019EA000988, June 2020, Impact Factor: 2.152, DOI:10.1029/2019EA000988, 1-22. 
  1. Rao G.N., Sreenivas P, Anomalous circulation around the southern Indian peninsula observed during winter, 2009; and the generation mechanisms, Indian Journal of Geo Marine Sciences, 49, March 2020, 343-351. Impact Factor: 0.301. 
  1. De S., Sahai A.K, Was the earliest documented account of tornado dynamics published by an Indian scientist in an Indian journal, Weather, 75, April 2020, DOI:10.1002/wea.3485, 120-123, Impact Factor 1.143. 
  1. Pillai P.A., Rao Suryachandra A., Srivastava Ankur, Dandi R.A., Pradhan M, Impact of the tropical Pacific SST biases on the simulation and prediction of Indian summer monsoon rainfall in CFSv2, ECMWF-System4, and NMME models Climate Dynamics, Online, January 2021, DOI:10.1007/s00382-020-05555-1, 1-17 Impact Factor 4.486 
  1. Pradhan M., Rao Suryachandra A., Srivastava Ankur ,Factors responsible for consecutive deficit Indian monsoons during 2014 and 2015 Theoretical and Applied Climatology, Online, January 2021, DOI:10.1007/s00704-020-03486-9, 1-14 Impact Factor 2.882 
  1. Mr.Ankur Srivastava, Mr.Maheswar Pradhan, Mr.Ashish Dhakate ,To develop a system for Short, Extended and Seasonal range prediction of Indian monsoon and improve its skills. 
(2A) Publications, from National & International projects of the Monsoon Mission, during 2012-2017:
  1. Lucas, E. L. Shroyer, H. W. Wijesekera, H. J. S. Fernando, E. D. Asaro, M.Ravichandran, S. U. P. Jinadasa, J. A. Mackinnon, J. D. Nash, R. Sharma, L.Centurioni, J. T. Farrar, R. Weller, R. Pinkel, A. Mahadevan, D. Sengupta, andA. Tandon, (2014), Mixing to Monsoons: Air-Sea Interactions in the Bay ofBengal, EOS, Vol. 95, No. 30, 29 July 2014.
  1. Sahu, K. C., & Govindarajan, R. (2014). Instability of a free-shear layer inthe vicinity of a viscosity-stratified layer. Journal of Fluid Mechanics, 752, 626-648.
  1. Sengupta, A. Tandon, E. Shroyer and M. Ravichandran. 2015. The OMMASIRI

Initiative in the Bay of Bengal. CLIVAR Exchanges 19(3), 35-37.

  1. Pant, V., M. S. Girishkumar, T. V. S. Udaya Bhaskar,M. Ravichandran, F.Papa, V. P. Thangaprakash (2015), Observed inter-annual variability of nearsurfacesalinity in the Bay of Bengal, J. Geophys. Res. Oceans, 120,doi:10.1002/2014JC010340.
  1. Ravichandran, S., & Govindarajan, R. (2015). Caustics and clustering in thevicinity of a vortex.Physics of Fluids (1994-present), 27(3), 033305.
  1. Wijesekera, H., E. Shroyer, A. Tandon, M. Ravichandran, D. Sengupta, S.Jinadasa, H. Fernando, N. Agrawal, K. Arulananthan, G. Bhat, M. Baumgartner,J. Buckley, L. Centurioni, P. Conry, J. Farrar, A. Gordon, V. Hormann, E. Jarosz,T. Jensen, S. Johnston, M. Lankhorst, C. Lee, L. Leo, I. Lozovatsky, A. Lucas, J.Mackinnon, A. Mahadevan, J. Nash, M. Omand, H. Pham, R. Pinkel, L.Rainville, S. Ramachandran, D. Rudnick, S. Sarkar, U. Send, R. Sharma, H.Simmons, K. Stafford, L. St. Laurent, K. Venayagamoorthy, R. Venkatesan, W.Teague, D. Wang, A. Waterhouse, R. Weller, and C. Whalen, 2016, ASIRI: AnOcean- Atmosphere Initiative for Bay of Bengal. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-14-00197.1.
  1. Sengupta, D., Bharath Raj, G. N., Ravichandran, M., Sree Lekha, J., & Papa,F. (2016). Near‐surface salinity and stratification in the north Bay of Bengalfrom moored observations. Geophysical Research Letters, 43(9), 4448-4456.
  1. Mathur, M., Carter, G. S., & Peacock, T. (2016). Internal tide generationusing Green function analysis: to WKB or not to WKB?.Journal of PhysicalOceanography, (2016).
  1. Tandon, A., E.A. D'Asaro, K.M. Stafford, D. Sengupta, M. Ravichandran, M.Baumgartner, R. Venkatesan, and T. Paluszkiewicz. 2016, Technologicaladvancements in observing the upper ocean in the Bay of Bengal: Education and capacity building, Oceanography 29(2):242-253.
  1. Bhat, G.S., and H.J.S. Fernando. 2016. , Remotely driven anomalous seaairheat flux over the north Indian Ocean during the summer monsoon season. ,Oceanography 29(2):232-241.
  1. Goswami, B.N., S.A. Rao, D. Sengupta, and S. Chakravorty. 2016, Monsoons to mixing in the Bay of Bengal: Multiscale air-sea interactions andmonsoon predictability., Oceanography 29(2):18-27.
  1. Chowdary, J.S., G. Srinivas, T.S. Fousiya, A. Parekh, C. Gnanaseelan, H.Seo, and J.A. MacKinnon. 2016. Representation of Bay of Bengal upper-oceansalinity in general circulation models. , Oceanography 29(2):38-49.
  1. Sharma, R., N. Agarwal, A. Chakraborty, S. Mallick, J. Buckley, V. Shesu,and A. Tandon. 2016. , Large-scale air-sea coupling processes in the Bay ofBengal using space-borne observations. , Oceanography 29(2):192-201.
  1. Thangaprakash, V.P., M.S. Girishkumar, K. Suprit, N. Suresh Kumar, D.Chaudhuri, K. Dinesh, A. Kumar, S. Shivaprasad, M. Ravichandran, J.T. Farrar,R. Sundar, and R.A. Weller. 2016. What controls seasonal evolution of seasurface temperature in the Bay of Bengal? Mixed layer heat budget analysisusing moored buoy observations along 90E. ,Oceanography 29(2):202-213.
  1. Lotliker, A.A., M.M. Omand, A.J. Lucas, S.R. Laney, A. Mahadevan, andM. Ravichandran. 2016. Penetrative radiative flux in the Bay of Bengal,Oceanography 29(2):214-221.
  1. Sarma, V.V.S.S., G.D. Rao, R. Viswanadham, C.K. Sherin, J. Salisbury,M.M. Omand, A. Mahadevan, V.S.N. Murty, E.L. Shroyer, M. Baumgartner, andK.M. Stafford. 2016. Effects of freshwater stratification on nutrients, dissolvedoxygen, and phytoplankton in the Bay of Bengal. , Oceanography 29(2):222-231.
  1. Johnston, T.M.S., D. Chaudhuri, M. Mathur, D.L. Rudnick, D. Sengupta,H.L. Simmons, A. Tandon, and R. Venkatesan. 2016. Decay mechanisms ofnear-inertial mixed layer oscillations in the Bay of Bengal. , Oceanography29(2):180-191.
  1. Mahadevan, A., T. Paluszkiewicz, M. Ravichandran, D. Sengupta, and A.Tandon. 2016. Introduction to the special issue on the Bay of Bengal: Frommonsoons to mixing. , Oceanography 29(2):14-17.
  1. Weller, R.A., J.T. Farrar, J. Buckley, S. Mathew, R. Venkatesan, J. SreeLekha, D. Chaudhuri, N. Suresh Kumar, and B. Praveen Kumar. 2016. Air-seainteraction in the Bay of Bengal. , Oceanography 29(2):28-37.
  1. MacKinnon, J.A., J.D. Nash, M.H. Alford, A.J. Lucas, J.B. Mickett, E.L.Shroyer, A.F. Waterhouse, A. Tandon, D. Sengupta, A. Mahadevan, M.Ravichandran, R. Pinkel, D.L. Rudnick, C.B. Whalen, M.S. Alberty, J. SreeLekha, E.C. Fine, D. Chaudhuri, and G.L. Wagner. 2016. A tale of two spicyseas. , Oceanography 29(2):50-61.
  1. Shroyer, E.L., D.L. Rudnick, J.T. Farrar, B. Lim, S.K. Venayagamoorthy,L.C. St. Laurent, A. Garanaik, and J.N. Moum. 2016. Modification of upperoceantemperature structure by subsurface mixing in the presence of strongsalinity stratification, Oceanography 29(2):62-71.
  1. Mahadevan, A., G. Spiro Jaeger, M. Freilich, M. Omand, E.L. Shroyer, andD. Sengupta. 2016. Freshwater in the Bay of Bengal: Its fate and role in air-sea heat exchange, Oceanography 29(2):72-81.
  1. Gordon, A.L., E.L. Shroyer, A. Mahadevan, D. Sengupta, and M. Freilich. 2016, Bay of Bengal: 2013 northeast monsoon upper-ocean circulation,Oceanography 29(2):82-91.
  1. Jensen, T.G., H.W. Wijesekera, E.S. Nyadjro, P.G. Thoppil, J.F. Shriver,K.K. Sandeep, and V. Pant. 2016. Modeling salinity exchanges between theequatorial Indian Ocean and the Bay of Bengal. , Oceanography 29(2):92-101.
  1. Hormann, V., L.R. Centurioni, A. Mahadevan, S. Essink, E.A. D'Asaro, andB. Praveen Kumar. 2016. Variability of near-surface circulation and sea surfacesalinity observed from Lagrangian drifters in the northern Bay of Bengal duringthe waning 2015 southwest monsoon. , Oceanography 29(2):124-133.
  1. Lucas, A.J., J.D. Nash, R. Pinkel, J.A. MacKinnon, A. Tandon, A.Mahadevan, M.M. Omand, M. Freilich, D. Sengupta, M. Ravichandran, and A.Le Boyer. 2016. Adrift upon a salinity-stratified sea: A view of upper-oceanprocesses in the Bay of Bengal during the southwest monsoon, Oceanography, 29(2):134-145.
  1. Sarkar, S., H.T. Pham, S. Ramachandran, J.D. Nash, A. Tandon, J. Buckley,A.A. Lotliker, and M.M. Omand. 2016. The interplay between submesoscaleinstabilities and turbulence in the surface layer of the Bay of Bengal,Oceanography 29(2):146-157.
  1. Warner, S.J., J. Becherer, K. Pujiana, E.L. Shroyer, M. Ravichandran, V.P.Thangaprakash, and J.N. Moum. 2016, Monsoon mixing cycles in the Bay of Bengal: A year-long subsurface mixing record, Oceanography 29(2):158-169.
  1. Parampil, S. R., Bharathraj, G. N., Harrison, M., & Sengupta, D. (2016). Observed subseasonal variability of heat flux and the SST response of the tropical Indian Ocean. Journal of Geophysical Research: Oceans.
  1. Venugopal, V., & Wallace, J. M. (2016). Climatology of Contributionweighted Tropical Rain Rates based on TRMM 3B42. Geophysical Research Letters.
  1. S. V. S. Ramakrishna, V. Brahmananda Rao, B. R. Srinivasa Rao., D. Hari Prasad., N. Nanaji Rao., Roshmitha Panda, (2016), A study of 2014 record drought in India with CFSv2 model: role of water vapour transport. Climate Dynamics. DOI10.1007/s00382-016-3343-9.
  1. Shahi, N. K., Rai, S., & Pandey, D. K. (2016). Prediction of daily modes of South Asian monsoon variability and its association with Indian and Pacific Ocean SST in the NCEP CFS V2.Meteorology and Atmospheric Physics,128(1), 131–142.
  1. Pandey, D. K., Rai, S., Sahai, A. K., Abhilash, S., & Shahi, N. K. (2016). Prediction and error growth in the daily forecast of precipitation from the NCEP CFSv2 over the subdivisions of Indian subcontinent.Journal of Earth System Science, 125(1), 29–45.
  1. Rai, S., Kucharski, F., & Molteni, F. (2016). An analysis of the impact of SST drift in the ECMWF system 3 on simulation of the Indian summer climatology.Meteorology and Atmospheric Physics, 1–10.
  1. Shahi, N. K., Rai, S., Pandey, D. K., & Mishra, N. (2015). Seasonal prediction skill of Indian summer monsoon rainfall in ECMWF system 4 model. Climate Change, 1(4), 469–475.
  1. Pandey, D. K., Rai, S., Shahi, N. K., & Mishra, N. (2015). Seasonal prediction of ISMR and relationship with EL–NINO and IOD in ECMWF system 4 coupled model. Climate Change, 1(4), 447–455.
  1. Chaudhuri S., S. Goswami, Debanjana Das and A. Middey (2014) Meta-heuristic ant colony optimization technique to forecast the amount of summer monsoon rainfall: skill comparison with Markov chain model, Theor Appl Climatol (Springer), 116, 3-4, 585-595 (IF: 2.433) (CI 5).
  1. Chaudhuri S. and J. Pal (2014) Cloud - Aerosol coupled index in estimating the break phase of Indian Summer Monsoon, Theor Appl Climatol (Springer), 118, 3, 447-464 (IF: 2.433).
  1. Chaudhuri S. and J. Pal (2014), The influence of El Niño on the Indian summer monsoon rainfall anomaly: A diagnostic study of the '82/83 and '97/98 events, Meteor. Atmos. Phys.(Springer), 124, 3-4, 183-194 (IF: 1.172).
  1. Pal J., S. Chaudhuri*, S. Guhathakurta (2015) The influence of galactic cosmic ray on all India annual rainfall and temperature, Adv. Space Res. (Elsevier), 55, 4, 1158-1167 (IF: 1.409) (CI 1).
  1. Pal, S. Chaudhuri*, S. Mukherjee and A. Roy Chowdhury (2016) Probing for suitable climatology to estimate the predictability of Monsoon Onset over Kerala (MOK), India, Theor. Appl. Climatol. (Springer), (online first July 2016) DOI 10.1007/s00704-016-1868-9 (IF: 2.433).
  1. Chaudhuri S, D. Das, S. Goswami and S.K. Das (2016) Long-range forecast of all India Summer Monsoon Rainfall using adaptive neuro-fuzzy inference system: skill comparison with CFSv2 model simulation and real - time forecast for the year 2015, Climate Dyn. (Springer), DOI 10.1007/s00382-016-3028-4 (online).
  1. Nirupam Karmakar, Arindam Chakraborty and Ravi S Nanjundiah, 2016: Space-Time Evolution of the Low- and High-Frequency Intraseasonal Modes of the Indian Summer Monsoon., Mon. Wea. Rev., doi: 10.1175/MWR-D-16-0075.1.
  1. An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon inter-annual variability in the Met Office GloSea5-GC2 system. S. J. Johnson, A. G. Turner, S. J. Woolnough, G. M. Martin and C. MacLachlan. Climate Dynamics, published online 24 June 2016.
  1. The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM. S. J. Johnson*, R. C. Levine, A. G. Turner, G. M. Martin, S. J. Woolnough, R. Schiemann, M. S. Mizielinski, M. J. Roberts, P. L. Vidale, M.-E. Demory and J. Strachan (2016). Climate Dynamics, 46(3): 807-831. [*Note that S. J. Johnson was formerly known as S. J. Bush]
  1. The effect of increased convective entrainment on Asian monsoon biases in the MetUM General Circulation Model. Bush, S. J., A. G. Turner, S. J. Woolnough, Gill M. Martin and N. P. Klingaman (2015) Quarterly Journal of the Royal Meteorological Society, 141: 311-326, January 2015.
  1. Wang, W., M.-P. Hung, S. J. Weaver, A. Kumar,and X. Fu, 2014: MJO prediction in the NCEP Climate Forecast System version 2. Dyn., DOI 10.1007/s00382-013-1806-9.
  1. Liu, R., and W. Wang, 2014: Multi-week prediction of South-East Asia rainfall variability during boreal summer in CFSv2. Dyn., 45, 493-509.  DOI 10.1007/s00382-014-2401-4.
  1. Wang, W., A. Kumar, X. Fu, 2015: How important is the sea surface temperature uncertainty in the prediction of tropical convection associated with the MJO? Wea. Rev., 143, 3156-3175.  DOI: 10.1175/MWR-D-14-00385.1.
  1. Lee, S.-S., B. Wang, D. E. Waliser, J. M. Neena, and J.-Y. Lee (2015), Predictability and prediction skill of the boreal summer intraseasonal oscillation in the Intraseasonal Variability Hindcast Experiment, J. Climate, DOI 10.1007/s00382-014-2461-5.
  1. Neena, J. M., D. E. Walise, and X. Jiang (2016), Model Performance Metrics and Process Diagnostics for Boreal Summer Intraseasonal Variability, Climate Dynamics, In Press.
  1. Guan, B., and D. E. Waliser (2015), Detection of atmospheric rivers: Evaluation and application of an algorithm for global studies, Journal of Geophysical Research, 120, 12,514–512,535.
  1. Li, J.-L. F., W.-L. Lee, D. Waliser, Y.-H. Wang, J.-Y. Yu, X. Jiang, T. L’Ecuyer, Y.-C. Chen, T. Kubar, E. Fetzer, and M. Mahakur (2016), Considering the radiative effects of snow on tropicalPacific Ocean radiative heating profiles in contemporary GCMs using A-Train observations, J. Geophys. Res., Atmos., 121, doi:10.1002/2015JD023587.
  1. Cesana, G., D. E. Waliser, X. Jiang, and J.-L. F. Li (2015), Multi-model evaluation of cloud phase transition using satellite and reanalysis data, J. Geophys. Res. - Atmos., 120, doi:10.1002/2014JD022932.
  1. Sluka, T., S. Penny, E. Kalnay, and T.Miyoshi, 2016: Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation. GRL, DOI: 10.1002/2015GL067238.
  1. Bombardi, R., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, J. L. Kinter III, 2015: Improvements in the representation of the Indian Summer Monsoon in the NCEP Climate Forecast System version 2. Climate Dyn. (online) doi 10.1007/s00382-015-2484-6.
  1. Bombardi, R. J., A. B. Tawfik. L. Marx; C.-S. Shin; E. K Schneider; P. A. Dirmeyer; J. L. Kinter III, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. J. Adv. Mod. Earth Sys., doi: 10.1002/2016MS000668.
  1. Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. Oral presentation, AMS Annual Meeting, New Orleans (January 10-14, 2016).
  1. Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2015: Implementing a New Convective Trigger function in the NCEP Climate Forecast System version 2. Poster presentation, CLIVAR Workshop, GFDL, New Jersey (October 15-16, 2015).
  1. Dirmeyer, P. A., and S. Halder, 2016a: Application of the land-atmosphere coupling paradigm to the operational Coupled Forecast System (CFSv2). J. Hydrometeor. (submitted)..
  1. Dirmeyer, P. A., and S. Halder, 2016b: Sensitivity of surface fluxes and atmospheric boundary layer properties to initial soil moisture variations in CFSv2. Wea. Fcst. (submitted).
  1. Dirmeyer, P. A., J. Wu, H. E. Norton, W. A. Dorigo, S. M. Quiring, T. W. Ford, J. A. Santanello Jr., M. G. Bosilovich, M. B. Ek, R. D. Koster, G. Balsamo, and D. M. Lawrence, 2016: Confronting weather and climate models with observational data from soil moisture networks over the United States. J. Hydrometeor., 17, 1049-1067, doi: 10.1175/JHM-D-15-0196.1.
  1. Halder, S., and P. A. Dirmeyer, 2016: Relation of Eurasian snow cover and Indian summer monsoon rainfall: Importance of the delayed hydrological effect. J. Climate (submitted).
  1. Halder, S., P. A. Dirmeyer, S. K. Saha, 2015: Uncertainty in the mean and variability of Indian summer monsoon due to land-atmosphere feedback in RegCM4. J. Geophys. Res., 120, 9437-9458, doi: 10.1002/2015JD023101.
  1. Halder, S., S. K. Saha, P. A. Dirmeyer, T. N. Chase, and B. N. Goswami, 2016: Investigating the impact of land-use land-cover change on Indian summer monsoon daily rainfall and temperature during 1951-2005 using a regional climate model., Hydrol. Earth Sys. Sci., (accepted), doi: 10.5194/hessd-12-6575-2015.
  1. Roxy, M.K. Rikita, P. Terray, S. Masson, 2014: The curious case of Indian Ocean Warming. Journal of Climate, Vol. 27, 8501-8508, doi:10.1175/JCLI-D-14-00471.1.
  1. Prodhomme, C., P. Terray, S. Masson, G. Boschat, T. Izumo, 2015: Oceanic factors controlling the Indian Summer Monsoon Onset in a coupled model. Climate Dynamics, Vol. 44, 977-1002, doi:10.1007/s00382-014-2200-y.
  1. Roxy M. K., K. Ritika, P. Terray, R. Murutugudde, K. Ashok and B. N. Goswami, 2015: Drying of Indian subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal gradient. Nature Communications, Vol. 6:7423, doi: 10.1038/ncomms8423 .
  1. Roxy M. K., K. Ritika, P. Terray, S. Masson, 2015: Indian Ocean warming—the bigger picture. Bulletin of the American Meteorological Society, Vol. 96, 7, 1070-1071.
  1. Terray P., S. Masson, C. Prodhomme, M. K. Roxy, K. P. Sooraj, 2016: Impacts of Indian and Atlantic oceans on ENSO in a comprehensive modeling framework. Climate Dynamics, Vol. 46, 2507-2533, doi:10.1007/s00382-015-2715-x.
  1. Samson, G., S. Masson, F. Durand, P. Terray, S. Berthet, S. Jullien, 2016: Role of land surface albedo and horizontal resolution on the Indian Summer Monsoon biases in a coupled ocean-atmosphere tropical-channel model. Climate dynamics, doi:10.1007/s00382-016-3161-0.
  1. Roxy M.K., A. Modi, R. Murutugudde, V. Valsala, S. Panickal, S. Prasanna Kumar, M. Ravichandran, M. Vichi and M. Levy, 2016: A reduction in marine primary productivity driven by rapid warming over the tropical Indian Ocean. Geophys. Res. Lett., 43, 826-833, doi:10.1002/2015gl066979.
  1. Narapusetty, B., Murtugudde, R., Wang, H., and A. Kumar, 2015: Ocean-atmosphere processes driving Indian Summer Monsoon biases in CFSv2 hindcasts., Clim. Dyn. doi: 10.1007/s00382-015-2910-9.
  1. Wang, H., Murtugudde, R., and A. Kumar, 2016: Evolution of Indian Ocean dipole and its forcing mechanisms in the absence of ENSO, Clim. Dyn. doi: doi:10.1007/s00382-016-2977-y.
  1. Xi, J., L. Zhou, R. Murtugudde, and L. Jiang, 2014: Impacts of intraseasonal SST anomalies on precipitation during Indian summer monsoon, J. Clim., 28, 4561–4575.
  1. Vijay, P., M. S. Girishkumar, M. Ravichandran, and R. Murtugudde, 2013: Influence of the Atlantic Zonal mode on monsoon depression in the Bay of Bengal during June-August. Geophys. Res., 119, 6456-6469. DOI:10.1002/2014JD021494.
  1. Vijay, P., M. S. Girishkumar, S. Sivareddy, M. Ravichandran and R. Mur-tugudde, 2014: Relation between the upper ocean heat content in the equatorial Atlantic during boreal spring and the Indian summer monsoon rainfall during June-September. sub judice, Int. J. Clim.
  1. Vittal, H., S. Ghosh, S. Karmakar, and R. Murtugudde, 2016: Revisiting the De- pendence of Precipitation Extremes on Temperature with the Observed Long-term Dataset over India. Sci. Rep., DOI:10.1038/srep31039 .
  1. Ravi Kumar, K., V. Valsala, J. V. Revadekar, P. Pillai, S. Chakraborty, and R. Murtugudde, 2016: Intra-seasonal variability of atmospheric CO2 concentrations over India during Summer Monsoons. Atm. Environ., 142, 229-237. doi:10.1016/j.atmosenv.2016.07.023.
  1. Zhou, L., R. Murtugudde, D. Chen and Y. Tang, 2016: A Central Indian Ocean Mode and Heavy Precipitation during Indian Summer Monsoon. Revised, J. Clim.
  1. Zhou, L., R. Murtugudde, D. Chen and Y. Tang, 2016: Seasonal and Interannual Variabilities of the Central Indian Ocean Mode. Submitted, J. Clim.
  1. Sabeerali, C. T., S. A. Rao, G. George, D. N. Rao, S. Mahapatra, A. Kulkarni, and R. Murtugude, 2014: Modulation of monsoon intra-seasonal oscillations in the recent warming period. J. Geophys. Res., 119, 5185-5203. DOI:10.1002/2013JD021261.
  1. Ravi Kumar, K., Y. Tiwari, V. Valsala and R. Murtugudde, 2014: On understanding of land-ocean CO2 contrast over Bay of Bengal: A case study during 2009 summer monsoon season. Environ. Sci. Poll. Res., 21, 5066-75DOI: 10.1007/s11356-013-2386-2.
  1. Zhou, L., and R. Murtugudde, 2014: Impact of northward propagating intraseasonal variability on the onset of Indian summer monsoon. Clim., 27, 126-139. doi: http://dx.doi.org/10.1175/JCLI-D-13-00214.1.
  1. Das, S., D. Sengupta, A. Chakraborty, J. Sukhatme, and R. Murtugudde, 2014: Low-frequency intraseasonal variability in a zonally symmetric aquaplanet model. sub judice, Clim. Dyn.
  1. Goswami, B. B., M. Deshpande, Mukhopadhyay, S. K. Saha, A. Surya Chandra Rao, R. Murthugudde, and B. N. Goswami, 2014: Identifying the source of Indian summer monsoon  bias in NCEP CFSv2.  Clim. Dyn.,  DOI:10.1007/s00382-014-2089-5.
  1. Shashikanth, K., S. Ghosh, C. G. Madhusoodan, T. I. Eldho, K. Rajendran, and R. Murtugudde, 2014: Comparing Statistically Downscaled Simulations of Indian Monsoon at different spatial Resolutions. J. Hydrology, DOI: 10.1016/j.jhydrol.2014.10.042.
  1. Mathew, K. R., R. Kapoor, P. Terray, R. Murtugudde, K. Ashok, and B. N. Goswami, 2014: Warm Indian Ocean, Weak Asian Monsoon. Nature Commun. , 6:7423, doi:10.1038/ncomms8423.
  1. N. Krishnamurti, V. Kumar, A. Simon, A. Thomas, A. Bhardwaj and Sweta Das, 2016: March of buoyancy elements during extreme rainfall over India: Climate Dynamics, DOI 10.1007/s00382-016-3183-7.
  1. N. Krishnamurti, S. Dubey, V. Kumar, D. Linoj, and A. Bhardwaj, 2016: Scale interaction and the flood event over south India. Under review in Quat. J. Roy Met Soc.
  1. N. Krishnamurti and V. Kumar: Buoyancy streams along hurricane rainbands, cloud flare up in the eye wall and rapid intensification of hurricane Ingrid. Submitted to Monthly Weather review 2016.
  1. Kumar, V., and T. N. Krishnamurti, (2015): Mesoscale modeling for the rapid movement of monsoonal isochrones, Atmospheric Science Letters, 17, 78-86.
  1. Krishnamurti, T. N. and Sanjay, J. 2003.A New Approach to the cumulus parameterization issue. Tellus 55A, 275–300.
  1. Dubey, T. N. Krishnamurti and V. Kumar: On the Scale Interactions between the MJO and Synoptic Scale. Submitted to Monthly Weather review 2016.
  1. Li Y., W. Han, W. Wang, and M. Ravichandran, 2016: Intraseasonal Variability of SST and Precipitation in the Arabian Sea during Indian Summer Monsoon: Impact of Ocean Mixed Layer Depth. J. Clim., DOI: http://dx.doi.org/10.1175/JCLI-D-16-0238.1.
  1. Prakash, K.R. & Pant, V. (2017), Upper oceanic response to tropical cyclone Phailin in the Bay of Bengal using a coupled atmosphere-ocean model, Ocean Dynamics, 67: 51. doi:10.1007/s10236-016-1020-5.
(2B) Publications, from National & International projects of the Monsoon Mission, on the basis of Project PIs:

List of Papers from Projects funded by Monsoon Mission (Phase-1)

Dr. Annamalai:

  1. Mohan, T., and H. Annamalai 2017: Extended monsoon episodes over South Asia:

Assessing thermodynamic processes in reanalysis ensemble (Clim. Dyn., submitted). 

  1. Mohan T.S., Annamalai H, Marx L, Huang B and Kinter J (2018) Representation of Ocean-Atmosphere Processes Associated with Extended Monsoon Episodes over South Asia inCFSv2. Front. Earth Sci.6:9. doi: 10.3389/feart.2018.00009. 
  1. Annamalai: Weak temperature approximation (WTG) limitations and monsoon breaks during the “onset-stage” over South Asia (submitted). 
  1. Annamalai, T.S. Mohan, Arun Kumar and J.P. McCreary: CFSv2 skill in hindcasting monsoon extended episodes: process-based diagnostics to infer model parameterizations (in preparation). 
  1. Annamalai, 2018: Model systematic errors in the annual cycle of monsoon: Inferences from process-based diagnostics. A chapter in “Current trends in the Representation of Physical Processes in Weather and Climate Model”. 

Dr. Arindam Chakraborty

  1. Karmakar N, Chakraborty A, Nanjundiah RS. Increased sporadic extremes decrease the Intra-seasonal variability in the Indian summer monsoon rainfall. Scientific Reports. 2017 Aug 10;7(1):7824. 
  1. Chakraborty A, Agrawal S. Role of west Asian surface pressure in summer monsoon onset over central India. Environ Res Lett. 2017 Jun 26;12(7):074002–9. 
  1. Arushi PV, Chakraborty A, Nanjundiah RS. Orographic control of the Bay of Bengal cold pool rainfall. Proc Indian Acad Sci (Earth Planet Sci). Springer India; 2017;126(8):111. 
  1. Karmakar N, Chakraborty A, Nanjundiah RS. Space–Time Evolution of the Low- and High-Frequency Intra-seasonal Modes of the Indian Summer Monsoon. Mon. Wea. Rev., 017; 145(2): 413–35. 
  1. Ghosh R, Chakraborty A, Nanjundiah RS. Relative role of pre-monsoon conditions and Intra-seasonal oscillations in determining early-vs-late indian monsoon intensity in a GCM. Theor. App.l Climatol.,  Theoretical and Applied Climatology; 2016 Oct 26;:1–15. 

Dr. Brian Mapes:

  1. A Mausam manuscript describing our GFS-specific results on the dependence of forecast error on coefficient cxlamu is forthcoming (January 2018). 
  1. A manuscript is being submitted in January 2018 to the INTROSPECT special volume, describing work by the PI and the NMM-supported postdoc (Suvarchal Cheedela) on the monsoon-relevant process of convective momentum transport in another model whose data we happen to have unique access to (the high-resolution global NASA GEOS-5 “Nature Run”). 
  1. Boos, William R., B. E. Mapes, and V. S. Murthy, 2017: Potential vorticity structure and propagation mechanism of Indian monsoon depressions. In The Global Monsoon System: Research and Forecast. World Scientific Press, pp. 187-199. 
  1. Matilla, B., and B.E. Mapes, 2018: A global atlas of tropical precipitation extremes. In Tropical Extremes, edited by V. Venugopal. (In final preparation). 

Dr. Andrew Turner:

  1. Bush, S.J., A.G. Turner, S. J. Woolnough, Gill M. Martin and N. P. Klingaman, 2015, The effect of increased convective entrainment on Asian monsoon biases in the MetUM General Circulation Model, Quarterly Journal of the Royal Meteorological Society, 141: 311-326, January 2015.
  1. Johnson, S. J., R.C. Levine, A. G. Turner, G. M. Martin, S. J. Woolnough, R. Schiemann, M. S. Mizielinski, M. J. Roberts, P. L. Vidale, M.-E. Demory and J. Strachan, 2016, The resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCM, Climate Dynamics, 46(3): 807-831.
  1. Jayakumar, A., G. Turner, S. J. Johnson, E. N. Rajagopal, Saji Mohandas and A. K. Mitra, 2017, Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model, Climate Dynamics, 49(5-6): 2035-2059.
  1. Johnson S. J., A. G. Turner, S. J. Woolnough, G. M. Martin and C. J. MacLachlan, 2017, An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon inter-annual variability in the Met Office GloSea5-GC2 system, Climate Dynamics, 48(5): 1447-1465.
  1. Chevuturi, A., A. G. Turner, J. Woolnough, G. Martin and C. MacLachlan, 2018, Indian summer monsoon onset forecast skill in the UK Met Office initialized coupled seasonal forecasting system (GloSea5-GC2), to be submitted to Climate Dynamics (in process, around April 2018)] 

Dr. Arun Kumar 

  1. Wang, W., M.-P. Hung, S. J. Weaver, A. Kumar,and X. Fu, 2014: MJO prediction in the NCEP Climate Forecast System version 2. Climate Dynamics, DOI 10.1007/s00382-013-1806-9. 
  1. Wang, W., A. Kumar, X. Fu, 2015: How important is the sea surface temperature uncertainty in the prediction of tropical convection associated with the MJO?, Monthly Weather Review, 143, 3156-3175. DOI: 10.1175/MWR-D-14-00385.1. 
  1. Ge, X., W. Wang, A. Kumar, and Y. Zhang, 2017: Importance of the Vertical Resolution in Simulating SST Diurnal and Intra-seasonal Variability in an Oceanic General Circulation Model. Journal of Climate, 30, 3963–3978. 
  1. Zhang, W. Wang, and A. Kumar, 2018: Improved Boreal Summer Intra-seasonal Oscillation predictions associated with the representation of sea surface temperatures. (Being prepared). 

Dr. Boualem Khouiider 

  1. Ajayamohan, R.S., B. Khouider, A. J. Majda and Q. Deng (2016), Role of stratiform heating on the organization of convection over the monsoon trough, Climate Dynamics, doi: 10.1007/s00382-016-3033-7 
  1. Deng, Q., B. Khouider, A. J. Majda and R. S. Ajayamohan (2015): Effect of Stratiform Heating on the Planetary-Scale Organization of Tropical Convection, Journal of the Atmospheric Sciences, doi: 10.1175/JAS-D-15-0178.1 
  1. Ajayamohan, R.S., B. Khouider and A. J. Majda, (2014): Simulation of monsoon Intra-seasonal oscillations in a coarse resolution aquaplanet GCM, Geophysical Research Letters, 41, doi: 10.1002/2014GL060662 
  1. De La Chevrotière M, Khouider B, a zonally symmetric model for the monsoon-hadley circulation with stochastic convective forcing, Theor. Comput. Fluid Dyn. DOI: 10.1007/s00162-016-0407-8
  1. B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, A. Majda, Improving Synoptic and Intra-Seasonal Variability in CFSv2 via Stochastic Representation of Organized Convection, Geoph. Res. Lett. 44:1104–1113, 2017. 
  1. B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda. Implementation and calibration of a stochastic multicloud convective param eterization in the NCEP climate forecast system (cfsv2). Journal of Advances in Modeling Earth Systems , 9(3):1721–1739, 2017 
  1. B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda. Improved tropical modes of variability in the ncep climate forecast system (version 2) via a stochastic multicloud model. Journal of the Atmospheric Sciences , 74(10):3339–3366, 2017. 
  1. De La Chevrotière M, Khouider B, Majda AJ (2014) Calibration of the stochastic multicloud model using Bayesian inference. SIAM J Sci Comput 36(3):B538–B560
  1. De La Chevrotière, M., Khouider, B. & Majda: Stochasticity of convection in Giga-LES data, A.J. Clim Dyn (2016) 47: 1845. doi:10.1007/s00382-015-2936-z 
  1. B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, and A. J. Majda., Development and Implementation of a Stochastic Multi-cloud Model (SMCM) convective parameterization in a climate model: Scopes and Opportunities, in Current trends in the Representation of Physical Processes in Weather and Climate Models, edited by D. Randall, J. Srinivasan, Ravi S. Nanjundiah, Parthasarathi Mukhopadhyay, submitted. Springer, 2017.

Dr. Elizabeth Ebert:

  1. Ashrit, R., Sharma, K., Dube, A., Iyengar, G., Mitra, A. and Rajagopal, E.N., 2015. Verification of short-range forecasts of extreme rainfall during monsoon. Mausam, 66, 375-386. 
  1. Sharma, K., R. Ashrit, E. Ebert, G. Iyengar, and A. Mitra, 2015: NGFS rainfall forecast verification over India using the contiguous rain area (CRA) method. Mausam, 66, 415-422. 
  1. Dube, A., Ashrit, R., Singh, H., Arora, K., Iyengar, G. and Rajagopal, E.N., 2017. Evaluating the performance of two global ensemble forecasting systems in predicting rainfall over India during the southwest monsoons. Meteorological Applications, 24(2), pp.230-238. 
  1. Dube, A., R. Ashrit, H. Singh, G. Iyengar and E.N. Rajagopal, 2016: Verification of medium range probabilistic rainfall forecasts over India. Pure and Applied Geophysics, 173, 2489-2510.
  1. Sharma, K., Ashrit, R., Bhatla, R., Mitra, A.K., Iyengar, G.R. and Rajagopal, E.N., 2017: Skill of predicting heavy rainfall over India: Improvement in recent years using UKMO global model. Pure and Applied Geophysics, 174, 4241-4250. 
  1. Sharma, K., R. Ashrit, E. Ebert, A. Mitra, R. Bhatla, G. Iyengar, E.N. Rajagopal, 2018: Assessment of Met Office Unified Model (UM) quantitative precipitation forecasts during the Indian summer monsoon: Contiguous Rain Area (CRA) approach. J. Earth System Science, (in revision). 
  • Sharma, K., R. Ashrit, G. Iyengar, A. Mitra, B. Ebert and E.N. Rajagopal, 2015: Spatial verification of rainfall forecasts during Tropical Cyclone 'Phailin'. In Tropical Cyclone Activity over North Indian Ocean, eds. M. Mohapatra, B. Bandopadhyaya and L.S. Rathore, Capital Publishers and Springer, pp.45-60. 

Dr. Shailendra Rai : 

  1. Shahi, N. K., Rai, S., Sahai, A. K., & Abhilash, S. (2017). Intra-seasonal variability of the South Asian monsoon and its relationship with the Indo–Pacific sea-surface temperature in the NCEP CFSv2. International Journal of Climatology. DOI:10.1002/joc.5349.
  1. Shahi, N. K., Rai, S., & Pandey, D. K. (2016). Prediction of daily modes of South Asian monsoon variability and its association with Indian and Pacific Ocean SST in the NCEP CFS V2. Meteorology and Atmospheric Physics, 128(1), 131–142. 
  1. Pandey, D. K., Rai, S., Sahai, A. K., Abhilash, S., & Shahi, N. K. (2016). Prediction and error growth in the daily forecast of precipitation from the NCEP CFSv2 over the subdivisions of Indian subcontinent. Journal of Earth System Science, 125(1), 29–45. 
  1. Rai, S., Kucharski, F., & Molteni, F. (2016). An analysis of the impact of SST drift in the ECMWF system 3 on simulation of the Indian summer climatology. Meteorology and Atmospheric Physics, 128(5), 629–638. 
  1. Shahi, N. K., Rai, S., Pandey, D. K., & Mishra, N. (2015). Seasonal prediction skill of Indian summer monsoon rainfall in ECMWF system 4 model. Climate Change, 1(4), 469–475. 
  1. Pandey, D. K., Rai, S., Shahi, N. K., & Mishra, N. (2015). Seasonal prediction of ISMR and relationship with EL-NINO and IOD in ECMWF system 4 coupled model. Climate Change, 1(4), 447–455. 

Dr. Duane Waliser: 

  1. Lee, S.-S., B. Wang, D. E. Waliser, J. M. Neena, and J.-Y. Lee (2015), Predictability and prediction skill of the boreal summer intra-seasonal oscillation in the Intra-seasonal Variability Hindcast Experiment, Journal of Climate, DOI 10.1007/s00382-014-2461-5. 
  1. Neena, J. M., D. E. Waliser, and X. Jiang (2016), Model Performance Metrics and Process Diagnostics for Boreal Summer Intra-seasonal Variability, Climate Dynamics, DOI 10.1007/s00382-016-3166-8. 
  1. Cesana, G., D. E. Waliser, X. Jiang, and J.-L. F. Li (2015), Multi-model evaluation of cloud phase transition using satellite and reanalysis data, Journal of Geophysical Research, 120, doi:10.1002/2014JD022932. 
  1. Cesana, G., and D. E. Waliser (2016), Characterizing And Understanding Systematic Biases In The Vertical Structure Of Clouds In CMIP5/CFMIP2 Models, Geophysical Research Letters, 43, doi:10.1002/2016GL070515. 
  1. Cesana, G., D. E. Waliser, D. Henderson, T. S. L’Ecuyer, X. Jiang, and J.-L. F. Li (2018), The Vertical Structure Of Radiative Heating Rates: A Multi-Model Evaluation Using ATrain Satellite Observations, Journal of Climate, Submitted. 
  1. Li, J. L. F., W.-L. Lee, D. Waliser, Y.-H. Wang, J.-Y. Yu, X. Jiang, T. L'Ecuyer, Y.-C. Chen, T. Kubar, E. Fetzer, and M. Mahakur (2016), Considering the radiative effects of snow on tropical Pacific Ocean radiative heating profiles in contemporary GCMs using A-Train observations, Journal of Geophysical Research: Atmospheres, 121(4), 1621-1636. 
  1. Kim, J., D. E. Waliser, G. V. Cesana, X. Jiang, T. L’Ecuyer, and J. M. Neena (2018), Cloud and radiative heating profiles associated with the boreal summer intra-seasonal oscillation, Climate Dynamics, 1-10. 
  1. Kim, J., D. Waliser, X. Jiang, G. V. Cesana, T. L. L’Ecuyer, and J. M. Neena (2018), Relationship between the GCM skill in simulating northward propagation of the BSISO rainfall and the radiative heating and cloud water structure, J. Climate, In preparation. 
  1. Jiang, X., A. Adames, M. Zhao, D. E. Waliser, and E. Maloney (2018), A Unified Moisture Mode Framework for Seasonality of the Madden-Julian Oscillation, Journal of Climate, 1175/JCLI-D-17-0671.1. 
  1. Guan, B., and D. E. Waliser (2015), Detection of atmospheric rivers: Evaluation and application of an algorithm for global studies, Journal of Geophysical Research, 120, 12,514–512,535. 
  1. Guan, B., and D. E. Waliser (2017), Atmospheric Rivers in 20-year Weather and Climate Simulations: A Multi-model, Global Evaluation, Journal of Geophysical Research, 122, doi:10.1002/2016JD026174. 
  1. Waliser, D. E., and B. Guan (2017), Extreme winds and precipitation during landfall of atmospheric rivers, Nature Geosciences, DOI: 10.1038/NGEO2894. 
  1. Suhas, E., D. E. Waliser, R. Murtugudde, C. Zhang, M. Moncrieff, D. J. Posselt, and C. Ruf (2017), Fidelity of Observing Surface Wind and Large-Scale Modes of Tropical Variability Based On CYGNSS, RapidScat and QuikSCAT Orbital Sampling Characteristics, IEEE special edition on CYGNSS, Under Review. 

Dr. Eugene Kalnay: 

  1. Sluka, T. C., Penny S. G., Kalnay, E. and Miyoshi, T., 2016, Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation, Geophysical Research Letters, 43 (2), pp 752-759. 
  1. Sivareddy, S., Paul, T. Sluka, M. Ravichandran, E. Kalnay, 2017, The pre-Agro ocean reanalyses may be seriously affected by the spatial coverage of moored buoys, Nature Scientific Reports 7, Article number: 46685. doi: 10.1038/srep46685. 

Dr. James Kinter:  (Papers Published, Presented or Submitted) 

  1. Bombardi, R. J., K. V. Pegion, J. L. Kinter, B. A. Cash, J. M. Adams, 2016: Sub-seasonal predictability of the onset and demise of the rainy season over monsoonal regions. Frontiers Atmos. Sci. (in press). 
  1. Bombardi, R. J., K. V. Pegion, J. L. Kinter, B. A. Cash, J. M. Adams, 2016: Sub-seasonal predictability of the onset and demise of the rainy season over monsoonal regions. Oral presentation, AMS Annual Meeting, Seattle (January 22-26, 2017). 
  1. Bombardi, R. J., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, and J. L. Kinter III, 2014: Sensitivity of Indian Summer Monsoon Rainfall Simulation to Convection Parameterizations and Convective Trigger Functions. National Monsoon Mission Workshop, Pune, India, February 2014. 
  1. Bombardi, R. J., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, J. L. Kinter, 2014: Improvements in the representation of the Indian Summer Monsoon in the NCEP Climate Forecast System version 2. Oral presentation, AGU Fall Meeting, San Francisco (December 15-19, 2014). 
  1. Bombardi, R., E. K. Schneider, L. Marx, S. Halder, B. Singh, A. B. Tawfik, P. A. Dirmeyer, J. L. Kinter III, 2015: Improvements in the representation of the Indian Summer Monsoon in the NCEP Climate Forecast System version 2. Climate Dyn. (online) doi 10.1007/s00382-015-2484-6. 
  1. Bombardi, R. J., A. B. Tawfik. L. Marx; C.-S. Shin; E. K Schneider; P. A. Dirmeyer; J. L. Kinter III, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. J. Adv. Mod. Earth Sys., doi: 10.1002/2016MS000668. 
  1. Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2016: The Heated Condensation Framework as a Convective Trigger in the NCEP Climate Forecast System version 2. Oral presentation, AMS Annual Meeting, New Orleans (January 10- 14, 2016). 
  1. Bombardi, R. J., A. B. Tawfik, L. Marx, C.-S. Shin, E. K. Schneider, P. A. Dirmeyer, J. L. Kinter, 2015: Implementing a New Convective Trigger function in the NCEP Climate Forecast System version 2. Poster presentation, CLIVAR Workshop, GFDL, New Jersey (October 15-16, 2015). 
  1. Dirmeyer, P. A., L. Chen, J. Wu, C.-S. Shin, B. Huang, B. Cash, M. G. Bosilovich, S. Mahanama, R. D. Koster, J. A. Santanello, M. B. Ek, G. Balsamo and D. M. Lawrence, 2017: Verification of land-atmosphere coupling in forecast models, reanalyses and land surface models using flux site observations. J. Hydrometeor., (in preparation). 
  1. Dirmeyer, P. A., and S. Halder, 2017: Application of the land-atmosphere coupling paradigm to the operational Coupled Forecast System (CFSv2). J. Hydrometeor., 18, 85-108, doi: 10.1175/JHM-D-16-0064.1. 
  1. Dirmeyer, P. A., and S. Halder, 2016: Sensitivity of surface fluxes and atmospheric boundary layer properties to initial soil moisture variations in CFSv2. Wea. Fcst., 31, 1973-1983, doi: 10.1175/WAF-D-16-0049.1. 
  1. Dirmeyer, P. A., J. Wu, H. E. Norton, W. A. Dorigo, S. M. Quiring, T. W. Ford, J. A. Santanello Jr., M. G. Bosilovich, M. B. Ek, R. D. Koster, G. Balsamo, and D. M. Lawrence, 2016: Confronting weather and climate models with observational data from soil moisture networks over the United States. J. Hydrometeor., 17, 1049-1067, doi: 10.1175/JHM-D-15-0196.1. 
  1. Dirmeyer, P. A. and S. Halder, 2016: Role of land surface states in simulation and prediction of monsoons in CFSv2 (invited). Workshop on “Grand challenges in monsoon modeling: Representation of processes in climate models”, International Centre for Theoretical Physics, Trieste, Italy. 
  1. Dirmeyer, P. A., and A. G. Turner, 2015: Introduction to the CLIVAR Exchanges issue on monsoons. CLIVAR Exchanges, 66, 1-2. 
  1. Dirmeyer, P. A., A. Tawfik, S. Halder, H. Norton, J. Wu, M. G. Bosilovich, J. A. Santanello Jr., and M. B. Ek, 2015: Confronting global land-atmosphere models with coupled process metrics. American Meteorological Society, 29th Conference on Hydrology, Phoenix, Arizona, USA, J1.2.
  1. Dirmeyer, P. A. and A. Tawfik, 2014: Validation of CFSv2 model behavior – land-atmosphere interactions and the hydrologic cycle. Climate Prediction S&T Digest, 38th Climate Diagnostics and Prediction Workshop Special Collection, 75-79, [available online at: https://issuu.com/climatesti/docs/38cdpwdigest]. 
  1. Dirmeyer, P. A., Z. Guo, S. Halder, H. Norton, and J. Wu, 2014: An initial assessment of coupled land-atmosphere memory in (and beyond) reanalysis. 39th Climate Diagnostics and Prediction Workshop, St. Louis, Missouri, USA. 
  1. Halder, S., P. A. Dirmeyer, L. Marx and J. L. Kinter III, 2017: Assessment of the impact of land surface initialization and land-atmosphere coupling on the prediction of the Indian summer monsoon in the CFSv2 model. Front. Env. Sci., (in preparation). 
  1. Halder, S., and P. A. Dirmeyer, 2016: Relation of Eurasian snow cover and Indian summer monsoon rainfall: Importance of the delayed hydrological effect. J. Climate, 30, 1273-1289, doi: 10.1175/JCLI-D-16-0033.1. 
  1. Halder, S., P. A. Dirmeyer, L. Marx, and J. L. Kinter III, 2016: J17.3 Impact of land surface initialization on seasonal forecasts of the extremes of Indian summer monsoon. American Meteorological Society 30th Conference Hydrology, New Orleans, Louisiana, USA, J17.3. 
  1. Halder, S., S. K. Saha, P. A. Dirmeyer, T. N. Chase, and B. N. Goswami, 2016: Investigating the impact of land-use land-cover change on Indian summer monsoon daily rainfall and temperature during 1951-2005 using a regional climate model., Hydrol. Earth Sys. Sci., 20, 1765-1784, doi: 10.5194/hessd-12-6575-2015. 
  1. Halder, S., P. A. Dirmeyer, S. K. Saha, 2015: Uncertainty in the mean and variability of Indian summer monsoon due to land-atmosphere feedback in RegCM4. J. Geophys. Res., 120, 9437- 9458, doi: 10.1002/2015JD023101. 
  1. Halder, S., P. Dirmeyer, B. Cash and J. Adams, 2015: Potential Regions of Strong Land atmosphere Coupling Based on the S2S Project Database: Implications for the Indian Summer Monsoon Rainfall Variability. AGU Fall Meeting, San Francisco, CA, USA, A33M-0405. 
  1. Halder, S., and P. A. Dirmeyer, 2015: Relation of Eurasian snow cover and Indian monsoon rainfall: Delayed hydrological effect. 40th Climate Diagnostics and Prediction Workshop, Denver, Colorado, USA. 
  1. Halder, S., P. A. Dirmeyer, L. Marx, and J. L. Kinter III, 2015: Predictability of the South Asian monsoon in the CFSv2 Operational Forecast Model. American Meteorological Society, Special Symposium on the South Asia Monsoon, Phoenix, Arizona, USA, 878. 
  1. Huang, B. and Co-authors, 2015: Multiple analysis ensemble initialization of ocean on seasonal prediction of ENSO and Asian monsoon. Invited presentation, Shukla Symposium on Predictability in the Midst of Chaos. April 23-24, 2015, Rockville, MD.
  1. Huang, B., C.-S. Shin, J. Shukla, L. Marx, M. Balmaseda, S. Halder, P. A. Dirmeyer, and J. L. Kinter III, 2016: Reforecasting the ENSO events in the past fifty-seven years (1958-2014). AGU Fall meeting, December 12-16, 2016, San Francisco, CA. 
  1. Huang, B., C.-S. Shin; J. Shukla; L. Marx; M. Balmaseda; S. Halder; P. A. Dirmeyer, and J. L. Kinter III, 2017: Reforecasting the ENSO events in the past fifty-seven years (1958-2014). J. Climate, (in press) doi:10.1175/JCLI-D-16-0642.1. 
  1. Kinter, J. L. III, P. A. Dirmeyer, B. Huang, E. K. Schneider, R. Bombardi, S. Halder, C. S. Shin, R. Shukla, and B. Singh, 2015: Promises and Prospects for Predicting the South Asian Monsoon. American Meteorological Society, Special Symposium on the South Asia Monsoon, Phoenix, Arizona, USA, 3.4. 
  1. Shin, C.-S. and B. Huang, 2014: Evaluating the CFSv2 Simulations for the Phase-locked Intraseasonal Variation of the Asian Summer Monsoon. 39th Climate Diag. Pred. Workshop, St. Louis, MO, October 2014. 
  1. Shin, C.-S. and B. Huang, 2015: Evaluating the CFSv2 Simulations for the Phase-locked Intraseasonal Variation of the Asian Summer Monsoon. 95th Annual AMS Meeting, Phoenix, AZ, January 2015. 
  1. Shin, C.-S. and B. Huang, 2016: Slow and fast annual cycles of the Asian Summer Monsoon in the NCEP CFSv2. Climate Dyn., 47, 529-553, DOI:10.1007/s00382-015-2854-0.
  1. 367. Shin, C.-S. and B. Huang, 2017: A spurious warming trend in the NMME equatorial Pacific SST hindcasts. Climate Dyn., (online first), doi:10.1007/s00382-017-3777-8. 
  1. Shin, C.-S., B. Huang, J. Zhu, L. Marx, J. L. Kinter III, and J. Shukla, 2015a: Enhanced seasonal predictability of the Asian Summer Monsoon rainfall following an El Niño event. Poster presentation, El Niño 2015 Conference, Nov. 17-18, 2015, New York, NY. 
  1. Shin, C.-S., B. Huang, J. Zhu., L. Marx, J. L. Kinter III, and J. Shukla, 2015b: Asian summer monsoon rainfall associated with ENSO and its predictability. Poster presentation, 2015 AGU Fall Meeting, Dec. 14-18, 2015, San Francisco, CA. 
  1. Shin, C.-S., B. Huang, J. Zhu., L. Marx, and J. L. Kinter III, 2017 : Enhanced seasonal predictability of the Asian summer monsoon rainfall following ENSO events in NCEP CFSv2 hindcasts. Climate Dyn. (submitted). 
  1. Shukla, J., B., Huang, and C.-S. Shin, 2016: Reforecasting the 1972-73 ENSO Event and the Monsoon Drought Over India. 2016 AGU Fall meeting, December 12-16, 2016, San Francisco, CA. 
  1. Shukla, R. P. and B. Huang, 2015a: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Climate Dyn. DOI: 10.1007/s00382-015-2808-6. 
  1. Shukla, R. P. and B. Huang, 2015b: Interannual variability of the Indian summer monsoon associated with the air-sea feedback in the northern Indian Ocean. Climate Dyn. DOI: 10.1007/s00382-015-2687-x. 
  1. Shukla, R. P. and B. Huang, 2015c: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Poster presentation, 40th Climate Diag. Pred. Workshop, Denver, Colorado, USA, 26-29 October 2015. 
  1. Shukla, R. P. and B. Huang, 2016: Mean state and interannual variability of the Indian summer monsoon simulation by NCEP CFSv2. Oral presentation, AMS Annual Meeting, 10–14 January, 2016, New Orleans, LA, USA. 
  1. Shukla, R. P., B. Huang, L. Marx, J. L. Kinter and Shin, C.-S (2017a) Predictability and Prediction of Indian summer Monsoon by CFSv2: Implication of the Initial Shock Effect. Climate Dyn. DOI: 10.1007/s00382-017-3594-0. 
  1. Shukla, R. P., B. Huang, L. Marx, J. L. Kinter and Shin, C.-S (2017b) Predictability of Indian Summer Monsoon by CFSv2: Implication of the Initial Shock Effect. 97th AMS Annual Meeting, 22–26 January 2017, Seattle, WA.  
  1. Xue, Y. and P. A. Dirmeyer, 2015: Land-atmosphere interactions in monsoon regimes and future prospects for enhancing prediction. CLIVAR Exchanges, 66, 28-33 

Prof. Dev Niyogi : (Research papers published) 

  1. Osuri, K.K., Nadimpalli, R., Mohanty, U.C., Chen, F., Rajeevan, M. and Niyogi, D., Improved prediction of severe thunderstorms over the Indian Monsoon region using high-resolution soil moisture and temperature initialization. Nature Scientific Reports, 7. 
  1. Nayak, H.P., Osuri, K.K., Sinha, P., Nadimpalli, R., Mohanty, U.C., Chen, F., Rajeevan, and Niyogi, D., 2018. High-resolution gridded soil moisture and soil temperature datasets for the Indian monsoon region. Nature Scientific Data, Volume 5, 180264. 
  1. Zhang, X., Obringer, R., Wei, C., Chen, N. and Niyogi, D., 2017. Droughts in India from 1981 to 2013 and Implications to Wheat Production. Nature Scientific Reports, 7, p.44552. 
  1. Liu, Xing, Fei Chen, Michael Barlage, Guangsheng Zhou, and Dev Niyogi. Noah‐MPCrop: Introducing Dynamic Crop Growth in the Noah‐MP Land‐Surface Model. Journal of Geophysical Research: Atmospheres (2016). 
  1. Devanand A., S. Ghosh, S Paul, S Karmakar, D. Niyogi, Multi-ensemble regional simulation of Indian monsoon during contrasting rainfall years: role of convective schemes and nested domain, Cimate Dynamics, Climate Dynamics, 1-21 (published online August 2017). 
  1. Singh, J., Vittal, H., Karmakar, S., Ghosh, S. and Niyogi, D., 2016. Urbanization causes nonstationarity in Indian Summer Monsoon Rainfall extremes. Geophysical Research Letters, 43(21). 
  1. Mallya, G., Mishra, V., Niyogi, D., Tripathi, S. and Govindaraju, R.S., 2016. Trends and variability of droughts over the Indian monsoon region. Weather and Climate Extremes. 
  1. Ila Chawla, Osuri K.K., P. P. Mujumdar, D. Niyogi, 2017 Assessment of the Weather Research and Forecasting (WRF) Model for Extreme Rainfall Event Simulations in the Upper Ganga Basin, Hydrology and Earth System Science, https://doi.org/10.5194/hess-2017-533. 
  1. Nayak, H. P., Sinha, P., Satyanarayana, A. N. V., Bhattacharya, A., & Mohanty, U. C. Performance Evaluation of High-Resolution Land Data Assimilation System (HRLDAS) Over Indian Region, Pure Appl. Geophys. https://doi.org/:10.1007/s00024-018-1946-2. 
  1. Krishna K Osuri, Raghu Nadimpalli, Ankur Kumar, H P Nayak, U C Mohanty, A K Das, M Rajeevan, and D Niyogi, 2019. Understanding role of Antecedent Land conditions for Simulation of Monsoon Depressions over India. (under submission). 
  1. Niyogi, D., Subramanian, S. and Osuri, K.K., 2016. The Role of Land Surface Processes on Tropical Cyclones: Introduction to Land Surface Models. In Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction (pp. 221-246). Springer Netherlands. 
  1. Niyogi, D., Osuri, K.K., Subramanian, S. and Mohanty, U.C., 2016. The Role of Land Surface Processes on Extreme Weather Events: Land Data Assimilation System. Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Predictions, p.247. 
  1. Niyogi, Dev, Subashini Subramanian, U. C. Mohanty, C. M. Kishtawal, Subimal Ghosh, S. Nair, M. Ek, and M. Rajeevan, 2018. The impact of land cover and land use change on the Indian monsoon region hydroclimate. In Land-atmospheric research applications in South and Southeast Asia, pp. 553-575. Springer. 
  1. Niyogi, D. 2019. Land Surface Processes. In Current Trends in the Representation of Physical Processes in Weather and Climate Models (pp. 349-370). Springer, Singapore  

Dr. M. S. Madhusoodanan

  1. Santosh Kumar Muriki, Bhardwaj S, Sathish Kumar G, and Madhusoodanan. M.S “Diurnal variability of summer monsoon rainfall in global forecast models”, TROPMET-2015, National Symposium on Weather & Climate Extremes, 15-18 Feb 2015, Punjab University, Chandigarh, India. 
  1. Santosh Kumar Muriki, Bhardwaj S., Sathish Kumar G and Madhusoodanan M S “Characteristic of hourly rainfall in India”, Annual Monsoon-2014 Workshop and National Conference on Vagaries of Monsoon" on 2-3 March, 2015 at IITM Pune, India. 

Prof. Sutapa Chaudhuri : 

  1. Chaudhuri S., S. Goswami, Debanjana Das and A. Middey (2014) Metaheuristicant colony optimization technique to forecast the amount of summer monsoon rainfall: skill comparison with Markov chain model, Theor Appl Climatol (Springer), 116, 3-4, 585-595 (IF: 2.640) (CI : 6) 
  1. Chaudhuri S. and J. Pal (2014) Cloud -Aerosol coupled index in estimating the break phase of Indian Summer Monsoon, Theor Appl Climatol (Springer), 118, 3, 447- 464 (IF: 2.640) 
  1. Chaudhuri S. and J. Pal (2014) The influence of El Niño on the Indian summer monsoon rainfall anomaly: A diagnostic study of the '82/83 and '97/98 events, Meteor. Atmos. Phys.(Springer), 124, 3-4, 183-194 (IF: 1.159) (CI : 1) 
  1. Pal J., S. Chaudhuri*, S. Guhathakurta (2015) The influence of galactic cosmic ray on all India annual rainfall and temperature, Adv. Space Res. (Elsevier), 55, 4, 1158-1167 (IF: 1.463) (CI : 1) 
  1. Chaudhuri S, D. Das, S. Goswami and S.K. Das (2016) Long-range forecast of all India Summer Monsoon Rainfall using adaptive neuro-fuzzy inference system: skill comparison with CFSv2 model simulation and real – time forecast for the year 2015, Climate Dyn. (Springer), 47, 9, 3319 – 3333 (IF: 4.708) 
  1. Pal J, S. Chaudhuri*, S. Mukherjee and A. Roy Chowdhury (2017) Probing for suitable climatology to estimate the predictability of Monsoon Onset over Kerala (MOK), India, Theor. Appl. Climatol. (Springer), 130, Issue 1–2, 59 – 76 (IF: 2.640) 
  1. Pal J., S. Chaudhuri*, A. Roy Chowdhury and D. Basu (2017) An Investigation on the influence of Southern Annular Mode on Indian Summer Monsoon Rainfall, Meteorol Appl, 24: 172–179 (IF: 1.411) 
  1. Mondal P, S. Chaudhuri*, J. Pal, F. Khan, A. Roy Chowdhury, I. Sarkar (2017) Variability in the onset of summer monsoon over Gangetic West Bengal, India: An investigation with climatology of tropopause characteristics, Int. J. Climatol., 37 , 412 – 428 (IF:3.760)

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