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Subimal Ghosh     


Associate Professor

Department of Civil Engineering,

Indian Institute of Technology Bombay,


Mumbai – 400 076, India.

E-mail:  subimal @; subimal.ghosh @

Phone: +91 22 2576 7319 (Off.); +91 22 2576 8319 (Res.)



2004 - 2007 - Ph D (Indian Institute of Science, Bangalore)

2002 - 2004 - Master of Engineering (Indian Institute of Science, Bangalore)

1998 - 2002Bachelor of Engineering (Jadavpur University, Kolkata)








1.    Niyogi, D., Subramanian, S., Mohanty, U.C., Kishtawal, C.M., Ghosh, S., Nair, U.S., Ek, M. and Rajeevan, M. (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, Cham.

2.    Saha, A., Shashikanth, K and Ghosh, S. (2017) Changing Monsoon Behavior with the Evaluation of CMIP5 Climate Models, Sustainable Holistic Water Resources Management in a Changing Climate, Ed. By Raju K S and Vasan, A. pp 9.1-9.17

3.    Raje, D., Ghosh, S. and Mujumdar, P.P., 2013. Hydrologic impacts of climate change: quantification of uncertainties. Climate Change Modeling, Mitigation, and Adaptation, pp.177-218.

4.      Mujumdar, P.P. and Subimal Ghosh, (2008) ,Fuzzy Logic Based Approaches in Water Resources Systems Modeling,,  Practical Hydroinformatics, Ed. by R. Abrahart, L. See, D. Solomatine, Water Science and Technology Library, (Pub : Springer) ISBN : 978-3-540-79980-4, pp. 165-176.


5.    Paul, S, Ghosh, S, Rajendran, K and Murtugudde, R (2018) Moisture Supply from the Western Ghats Forests to Water Deficit East Coast of India, Geophysical Research Letters (In press)

6.    Niroula, S, Halder S and Ghosh, S (2018), Perturbations in the Initial Soil Moisture Conditions: Impacts on Hydrologic Simulation in a Large River Basin, Journal of Hydrology (In Press)

7.    Sahana AS, Pathak, A, Roxy, M K and Ghosh S (2018), Understanding the role of moisture transport on the dry bias in Indian monsoon simulations by CFSv2, Climate Dynamics (In Press)

8.    Paul, S, Ghosh, S, Mathew M, Devanand A, Karmakar S and Niyodi D (2018), Increased Spatial Variability and Intensification of Extreme Monsoon Rainfall due to Urbanization, Scientific Reports (Nature Publishing Group) [In Press]

9.    Devanand A, Roxy M K and Ghosh s (2018), Coupled Land-Atmosphere Regional Model reduces Dry Bias in Indian Summer Monsoon Rainfall simulated by CFSv2, Geophysical Research Letters (In press) [Selected as “Research Spotlight” of AGU]

10. Sharma, T, Vittal H., Chhabra, S, Salvi, K, Ghosh, S and Karmakar S (2018), Understanding the Cascade of GCM and Downscaling Uncertainties in Hydro-climatic Projections over India, International Journal of Climatology (In Press)

11.  Madhusoodhanan, C G, Shashikanth, K, Eldho, TI and Ghosh, S (2018), Can Statistical Downscaling Improve Consensus among CMIP5 Models for Indian Summer Monsoon Rainfall Projections?, International Journal of Climatology (In Press)

12. Pathak, A, Ghosh, S, Kumar, P and Murtugudde, R (2017), Role of Oceanic and Terrestrial Atmospheric Moisture Sources in Intraseasonal Variability of Indian Summer Monsoon Rainfall, Scientific Reports,7

13. Hossain, F.; Margaret Srinivasan; Craig Peterson; Alice Andral; Ed Beighley; Eric Anderson; Rashied Amini; Charon Birkett; David Bjerklie; Cheryl A. Blain; Selma Cherchali; Cedric H. David; Bradley Doorn; Jorge Escurra; Lee-Lueng Fu; Christopher Frans; John Fulton; Subhrendu Gangopadhay; Subimal Ghosh; Colin Gleason; Marielle Gosset; Jessica Hausman; Gregg Jacobs; John Jones; Yasir Kaheil; Benoit Laignel; Patrick Le Moigne; Li Li; Fabien Lefevre; Robert Mason; Amita Mehta; Abhijit Mukherjee; Anthony Nguy-Robertson; Sophie Ricci; Adrien Paris; Tamlin Pavelsky; Nicolas Picot; Guy Schumann; Sudhir Shrestha; Pierre-Yves Le Traon; Eric Trehubenko, (2017) “Engaging the User Community for Advancing Societal Applications of the Surface Water Ocean Topography (SWOT) mission”, Bulletin of American Meteorological Society (In Press)

14. Roxy M. K., S. Ghosh, A. Pathak, R. Athulya, M. Mujumdar, R. Murtugudde, P. Terray and M. Rajeevan, 2017: A threefold rise in widespread extreme rain events over central India. Nature Communications, 8, doi:10.1038/s41467-017-00744-9.

15. Devanand, A., Ghosh, S., Paul, S., Karmakar, S. and Niyogi, D., 2017. Multi-ensemble regional simulation of Indian monsoon during contrasting rainfall years: role of convective schemes and nested domain. Climate Dynamics, (In Press).

16. Singh, J., Sekharan, S., Karmakar, S., Ghosh, S., Zope, P.E. and Eldho, T.I., 2017. Spatio-temporal analysis of sub-hourly rainfall over Mumbai, India: Is statistical forecasting futile? Journal of Earth System Science126(3), p.38.

17. Barik, B., Ghosh, S., Sahana, A.S., Pathak, A. and Sekhar, M. (2017), Water – food – energy nexus: with changing agricultural scenarios in India during recent Decades, Hydrology and Earth System Science (In press)

18. Mazdiyasni, O., AghaKouchak, A., Davis, S.J., Madadgar, S., Mehran, A., Ragno, E., Sadegh, M., Sengupta, A., Ghosh, S., Dhanya, C.T. and Niknejad, M. (2017). Increasing probability of mortality during Indian heat waves. Science Advances3(6), p.e1700066.

19. Shashikanth, K, Ghosh, S, Vittal, H and Karmakar, S (2017), Future Projections of Indian Summer Monsoon Rainfall Extremes over India with Statistical Downscaling and its Consistency with Observed Characteristics, Climate Dynamics

20. Kulkarni, S., Deo, M C and Ghosh, S. (2017), Impact of active and break wind spells on the demand–supply balance in wind energy in India, Meteorology and Atmospheric Physics (In press)

21. Shastri, H., Ghosh, S. and Karmakar, S. (2017), Improving Global Forecast System of Extreme Precipitation Events with Regional Statistical Model: Application of Quantile based Probabilistic Forecasts, J. Geophys. Res. Atmos. (In Press)

22. Salvi, K., Villarini, G., Vecchi, G. A., and Ghosh, S. (2017), Decadal temperature predictions over the continental United States: Analysis and Enhancement, Climate Dynamics (In Press)

23. Shastri, H., Barik, B., Ghosh, S., Venkataraman, C. and Sadavarte, P., (2017), Flip flop of Day-night and Summer-Winter Surface Urban Heat Island Intensity in India. Scientific Reports (Nature Publishing Group), 7, p.40178.

24. Pathak, A., Ghosh, S., Martinez, J. A., Dominguez, F. and Kumar, P. (2016), Role of Oceanic and Land Moisture Sources and Transport in the Seasonal and Inter–annual variability of Summer Monsoon in India, Journal of Climate (In Press)

25. Venkataraman, C., Ghosh, S, and Kandlikar, M (2016), Breaking out of the box: India and climate action on short-lived climate pollutants, Environmental Science and Technology (In press)

26. Singh, J., V. Hari, S. Karmakar, S. Ghosh, and D. Niyogi (2016), Urbanization causes Nonstationarity in Indian Summer Monsoon Rainfall Extremes, Geophys. Res. Lett., 43, doi:10.1002/2016GL071238.

27. Salvi, K. and Ghosh, S. (2016), Projections of Extreme Dry and Wet Spells in the 21st Century India Using Stationary and Non-stationary Standardized Precipitation Indices, Climatic Change (In Press)

28. Paul, S., Ghosh, S., Oglesby, R., Pathak, A., Chandrasekharan, A. and Ramsankaran, R., (2016) Weakening of Indian Summer Monsoon Rainfall due to Changes in Land Use Land Cover. Scientific Reports, 6, 32177.

29. Vittal, H., Ghosh, S., Karmakar, S., Pathak, A. and Murtugudde, R., (2016) Lack of Dependence of Indian Summer Monsoon Rainfall Extremes on Temperature: An Observational Evidence. Scientific Reports, 6.

30. Ghosh S, Vittal H, Sharma T, Karmakar S, Kasiviswanathan KS, Dhanesh Y, et al. (2016) Indian Summer Monsoon Rainfall: Implications of Contrasting Trends in the Spatial Variability of Means and Extremes. PLoS ONE 11(7): e0158670. doi:10.1371/journal.pone.0158670

31. Sebastian, D E, Pathak, A. and Ghosh S. (2016), Use of Atmospheric Budget to Reduce Uncertainty in Estimated Water Availability over South Asia from Different Reanalyses, Scientific Reports (Nature Publishing Group), 6, 29664; doi: 10.1038/srep29664 (2016)

32. Murari K., Sahana A S, Daly E and Ghosh, S. (2016), The influence of El Niño Southern Oscillation on heat waves in India, Meteorological Applications (In Press)

33. Singh, S, Ghosh S, Sahana A S, Vittal, H. and Karmakar, S. (2016), Do Dynamic Regional Models add Value to the Global Model Projections of Indian Monsoon?, Climate Dynamics (In Press), DOI: 10.1007/s00382-016-3147-y

34.    Salvi, K, S. Ghosh and Ganguly A R (2016), Credibility of Statistical Downscaling under Nonstationary Climate, Climate Dynamics, 46(5), pp 1991–2023 doi: 10.1007/s00382-015-2688-9

35.  Sahana, A. S., Ghosh, S., Ganguly, A. and Murtugudde, R. (2015), Shift in Indian Summer Monsoon Onset during 1976/1977, Environ. Res. Lett. 10 054006

36.  Shastri, H., S. Paul, S. Ghosh, and S. Karmakar (2015), Impacts of urbanization on Indian summer monsoon rainfall extremes, J. Geophys. Res. Atmos., 120, 495–516, doi:10.1002/2014JD022061

37.  Murari, K. M., Ghosh S., Patwardhan, A., Daly, E., and Salvi, K. (2015), Intensification of future severe heat waves in India and their effect on heat stress and mortality, Regional Environmental Change, Volume 15, Issue 4, pp 569-579 

38.  Shashikanth, K, Madhusoodhanan, C. G., Ghosh S., Eldho T I, Rajendran K., and Murtugudde, R. (2014), Comparing Statistically Downscaled Simulations of Indian Monsoon at different spatial Resolutions, Journal of Hydrology, Volume 519, Part D, Pages 3163–3177, 10.1016/j.jhydrol.2014.10.042

39.  Saha, A., S. Ghosh, Sahana, A. S. and E. P. Rao (2014), Failure of CMIP5 climate models in simulating post-1950 decreasing trend of Indian monsoon, Geophys. Res. Lett., 41, 73237330, doi:10.1002/2014GL061573.

40.  Pathak, A, Ghosh , S and Kumar P (2014), Precipitation Recycling in the Indian Subcontinent during Summer Monsoon, Journal of Hydrometeorology, Vol. 15, No. 5, Page: 2050-2066

41. Kannan S, Ghosh, S, Mishra, V and Salvi K (2014), Uncertainty Resulting from Multiple Data Usage in Statistical Downscaling, Geophys. Res. Lett., 41, 4013–4019, doi:10.1002/2014GL060089.

42. Kulkarni S, Deo M C, Ghosh S, (2014). Changes in the design and operational wind due to climate change at the Indian offshore sites, Marine Structures (2014), 37, July 2014, Pages 33-53

43. Ganguly, A.R. Kodra, E.A., Banerjee, A., Boriah, S., Chatterjee, S., Chatterjee, S., Choudhary, A., Das, D., Faghmous, J., Ganguli, P., Ghosh, S., Hayhoe, K., Hays, C., Hendrix, W., Fu, Q., Kawale, J., Kumar, D., Kumar, V., Liess, S., Mawalagedara, R., Mithal, V., Oglesby, R., Salvi, K., Snyder, P.K., Steinhaeuser, K., Wang, D., and D. Wuebbles (2014): Toward enhanced understanding and prediction of climate extremes using physics-guided data mining techniques, Nonlin. Processes Geophys., 21, 777-795, 2014. 

44. Ashfaq, M., S. Ghosh, S-C Kao, L. C. Bowling, P. Mote, D. Touma, S. A. Rauscher, and N. S. Diffenbaugh (2013), Near-term acceleration of hydroclimatic change in the western U.S., J. Geophys. Res. Atmos., Volume 118, Issue 19, pages 10,676–10,693.

45. Shashikanth, K., K. Salvi, S. Ghosh and K.Rajendran (2013), Do CMIP5 Simulations of Indian summer Monsoon Rainfall Differ from those of CMIP3?, Atmospheric Science Letters, Volume 15, Issue 2, pages 79–85

46.  Vittal, H., S. Karmakar, and S. Ghosh (2013), Diametric changes in trends and patterns of extreme rainfall over India from pre-1950 to post-1950, Geophys. Res. Lett., 40, 3253–3258, doi:10.1002/grl.50631.

47. Patil K, Deo M C, S Ghosh and Ravichandran M (2013), Predicting Sea Surface Temperatures in the North Indian Ocean with Nonlinear Autoregressive Neural Networks, International Journal of Oceanography Article ID 302479,

48. Nayak, M A and S Ghosh (2013), Prediction of extreme rainfall event using weather pattern recognition and support vector machine classifier, Theoretical and Applied Climatology, 114, pp 583-603, doi: 10.1007/s00704-013-0867-3

49. Salvi, K., S. Kannan, and S. Ghosh (2013), High-resolution multisite daily rainfall projections in India with statistical downscaling for climate change impacts assessment, J. Geophys. Res. Atmos.,118, 3557–3578, doi:10.1002/jgrd.50280.

50.  Kannan, S., and S. Ghosh (2013), A nonparametric kernel regression model for downscaling multisite daily precipitation in the Mahanadi basin, Water Resour. Res., 49, 1360–1385, doi:10.1002/wrcr.20118.

51. Ghosh, S and Katkar, S (2012), Modeling Uncertainty Resulting from Multiple Downscaling Methods in Assessing Hydrological Impacts of Climate Change ,Water Resources Management, Volume 26, Issue 12, pp 3559-3579, DOI 10.1007/s11269-012-0090-5

52. Kodra, E, S Ghosh and Ganguly, A. R. (2012), Evaluation of global climate models for Indian monsoon, Environmental Research Letters, 7, 014012 doi:10.1088/1748-9326/7/1/014012

53. Ghosh, S., Das, D, Kao, S-C, Ganguly, A. R. (2012), Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes, Nature Climate Change, 2, 86–91, DOI: doi:10.1038/nclimate1327

54. Ghosh, S (2010), SVM-PGSL coupled approach for statistical downscaling to predict rainfall from GCM output, Journal of Geophysical Research, 115, D22102, doi:10.1029/2009JD013548.

55. Katkar, S., Gupta A., and Subimal Ghosh (2010), Transfer Function based Downscaling Methods for Assessing Future Rainfall using GCM Output, Hydrology Journal, Vol. 33, 9-16.

56. Kashid S, Subimal Ghosh and Maity R. (2010),Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection,, Journal Of Hydrology, 395, pp 23-38, doi:10.1016/j.jhydrol.2010.10.004

57. Subimal Ghosh and Misra C (2010),Assessing Hydrological Impacts of Climate Change: Modeling Techniques and Challenges,, Open Hydrology Journal, 4, 115-121

58. Subimal Ghosh (2010),Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula,, Hydrological Processes,  24, 3558–3567

59. Kannan, S. and Subimal Ghosh (2010),Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output,, Stochastic Environmental Research and Risk Assessment, Springer.

60. Subimal Ghosh, Raje D. and P. P. Mujumdar (2010),Mahanadi Streamflow: Climate Change Impact Assessment and Adaptive Strategies,, Current Science, 98(8), pp 1084-1091.

61. Subimal Ghosh and P. P. Mujumdar (2010): Fuzzy Waste Load Allocation Model: A Multiobjective Approach, Journal of Hydroinformatics, 12.1, 96-109.

62. Subimal Ghosh, Luniya, V. and Gupta, A. (2009),Trend Analysis of Indian Summer Monsoon Rainfall at Different Spatial Scales,, Atmospheric Sciences Letter, Royal Meteorological Society, 10(4), pp. 285-290

63. Musti, S., Subimal Ghosh and Mujumdar, P. P. (2009), Imprecise Probability for Modeling Partial Ignorance: Application to Waste Load Allocation in a River System, ISH Journal of Hydraulic Engineering, 15 (SP1), pp. 258-271

64. Subimal Ghosh and P. P. Mujumdar (2009), Climate Change Impact Assessment- Uncertainty Modeling with Imprecise Probability, Journal of Geophysical Research- Atmosphere (AGU), 114, D18113, doi:10.1029/2008JD011648

65. Mujumdar P. P. and Subimal Ghosh (2008), Climate Change Impact on Hydrology and Water Resources, ISH Journal of Hydraulic Engineering, 14(3), 1-17.

66. Mujumdar, P. P., and S. Ghosh (2008), Modeling GCM and scenario uncertainty using a possibilistic approach: Application to the Mahanadi River, India, Water Resources Research, 44, W06407, doi:10.1029/2007WR006137

67. Subimal Ghosh, H. R. Suresh and P. P. Mujumdar (2008): Fuzzy Waste Load Allocation Model: Application to a Case-Study, Journal of Intelligent Systems, 17, (1-3), pp. 283-296.

68. Subimal Ghosh and P. P. Mujumdar (2008): Statistical Downscaling of GCM Simulations to Streamflow using Relevance Vector Machine. Advances in Water Resources. (Pub: Elsevier, Netherlands), 31(1), pp. 132-146

69. Subimal Ghosh and P. P. Mujumdar (2007): Nonparametric Methods for Modeling GCM and Scenario Uncertainty in Drought Assessment. Water Resources Research, 43, W07405, doi:10.1029/2006WR005351

70. P. P. Mujumdar and Subimal Ghosh (2007): Assessment of Impact of Global Climate Change on Precipitation at Regional Scales, Hydrology Review, INCOH Roorkee, 22, pp 21-36.

71. Subimal Ghosh and P.P. Mujumdar (2006): Risk Minimization in Water Quality Control Problems of a River System. Advances in Water Resources. (Pub: Elsevier, Netherlands), 29, pp. 458-470.

72. Subimal Ghosh and P.P. Mujumdar (2005): Future Rainfall Scenario over Orissa with GCM Projections by Statistical Downscaling, Current Science, India, 90(3), pp. 396-404.

73. Subbarao, V.V.R., Mujumdar, P.P. and Subimal Ghosh (2004): Risk Evaluation in Water Quality Management of a River System. Journal of Water Resour. Plng and Mgmt. Vol. 130, No. 5, September 1, 2004. (Pub: American Society of Civil Engineers).

74. Mujumdar, P.P. and Subimal Ghosh, (2004) ,Systems Techniques for  Planning Inter-Basin Water Transfers, Special Issue on Hydrological aspects of large scale water transfer, Hydrology Review, INCOH Roorkee, 19(1-2), pp. 21-40.


75. Paul, S., Pathak, A. and Ghosh, S. (2016) Role of Local Characteristics On Indian Summer Monsoon Precipitation. Climate Change, Monsoon And Extreme Weather Events(AS02), Asia Oceania Geosciences Society (AOGS), 13th Annual Meeting,  2016, Beijing, China.

76. Devanand, A., Paul, S., Ghosh, S. and Karmakar S. (2016) Sensitivity of Indian Summer Monsoon simulations to cumulus and microphysics parameterizations in WRF model., Poster session C: Impacts and applications, International Conference on Regional Climate - Coordinated Regional Downscaling Experiment (ICRC-CORDEX), 17-20 May, 2016, Stockholm, Sweden.

77. Singh, S., Ghosh, S. (2016), Coupled Statistical-Dynamic Downscaling Approach for Regional Projections of Indian Summer Monsoon, Poster session C, ICRC-CORDEX 2016 Conference, Stockholm, Sweden.

78. Sharma, T, Murari, H. V., Karmakar, S., Ghosh, S., Singh, J. (2016), Assessing the Agricultural Vulnerability for India under Changing Climate, Paper Number: EGU2016-153, EGU General Assembly 2016, Vienna, Austria.

79.  Sahana, A. S., Pathak, A., Roxy, M. K., Ghosh, S.(2016), Understanding Dry Bias in the Simulations of Indian Monsoon by CFSv2 through Analysis of Moisture Transport, EGU General Assembly 2016, Vienna, Austria.

80. Sahana, A. S., Ghosh, S. (2015),Evaluation of CFSv2 Forecast Skill for Indian Summer Monsoon Sub-Seasonal Characteristics, 2015 American Geophysical Union Fall Meeting San Francisco. 

81.  Mathew, M., Paul, S., Devanand, A., and Ghosh,S. (2015), Impact of Urbanization on Spatial Variability of Rainfall-A case study of Mumbai city with WRF Model, Abstract B34C-04 presented at 2015 AGU Fall Meeting, San Francisco, USA

82. Sharma, T, Murari, H. V., Vittal, H., Karmakar, S., Ghosh, S. and Soora N. S. (2015), Understanding the Propagation of GCM and Downscaling Uncertainty for Projecting Crop Yield: A Nationwide Analysis over India, Paper Number: GC41H-04, AGU Fall Meeting 2015, San Francisco, USA.

83. Pathak, A., S. Ghosh, P. Kumar, & A.S. Sahana, 2015: Role of Terrestrial Moisture Source Transport on Summer Monsoon Rainfall Variability over Ganga River Basin, 2015 American Geophysical Union Fall Meeting San Francisco. 

84. Pathak A., A.S. Sahana and S. Ghosh, 2015: Impact of Atmospheric Moisture Transport on Indian Summer Monsoon Onset and Withdrawal, 2015 Dynamics of the Indian Ocean: perspective and Retrospective, NIO, Goa.

85. Sebastian, D., A. Pathak, and S. Ghosh, 2015: Improving the Consistency in Water Availability between Different Reanalysis Data over South Asia, 2015 American Geophysical Union Fall Meeting San Francisco.

86. Joseph, J., Pathak, A. and Ghosh, S. (2015), Uncertainty Assessment in Climate Change Simulation of Ganges Basin Uncertainty in the Identification of Indian Summer Monsoon Onset, Paper Number: H33E-1664, AGU Fall Meeting 2015, San Francisco, USA

87. Singh, S., Ghosh, S. (2015), Evaluation of CORDEX RCMs in simulation of northward and eastward propagation of the Indian summer monsoon, Paper ID: IO50-06-0014 , Dynamics of the Indian Ocean: perspective and Retrospective,Symposium 2015, NIO, Goa, India.

88. Sharma, T., Chhabra, S., Salvi, K., Karmakar, S. and Ghosh, S. (2015), Assessing the Uncertainty in Downscaling Approaches using Hydrological Model, Paper Number: EGU2015-776, EGU General Assembly 2015, Vienna, Austria. (Poster presentation)

89. Pathak, A., H. Shashtri, and S. Ghosh, 2015: Feedback from Urbanization and Land Surface ET to Indian Summer Monsoon Rainfall, National Climate Science Conference, Divecha Centre for Climate Change, Indian Institute of Science, Bangalore.

90. Saha, A., Sahana, A.S., Ghosh, S. and E.P. Rao (2015). Evaluation of CMIP5 Models for post-1950 Weakening of Indian Monsoon. EGU2015-338, EGU General Assembly, 2015, Vienna, Austria.

91. Sahana, A. S. and Ghosh, S. (2014),  Uncertainty in the Identification of Indian Summer Monsoon Onset, Paper Number: A41C-3053, AGU Fall Meeting 2014, San Francisco, USA. 

92.  Swati, S.,  Salvi, K.,  Ghosh, S. and Karmakar, S. (2014), Projections of Active and Break Spells of the Indian Summer Monsoon using Original and Statistical Downscaled CMIP5 GCMs, Paper Number: A41C-3054, AGU Fall Meeting 2014, San Francisco, USA.

93. Agrawal, A., Salvi K., and Ghosh S (2014), Improving GEFS Weather Forecasts for Indian Monsoon with Statistical Downscaling, Geophysical Research Abstracts, Vol. 16, EGU2014-11854, 2014, EGU General Assembly 2014, Vienna, Austria

94. Jain, A., Shashikanth K., Subimal Ghosh, Mukherjee P P (2013), Projecting Wind Energy potential Under Climate Change With Ensemble of  Climate Model Simulations, AGU Fall Meeting 2013, San Francisco, USA.

95. Shastri, H., Ghosh. S., and Karmakar, S. (2013), Impacts of Urbanization on Indian Summer Monsoon Rainfall, AGU Fall Meeting 2013, San Francisco, USA.

96.  Salvi, K and Subimal Ghosh (2012), Future Patterns of Flood and Drought in India Using the Three Month Standardized Precipitation Index, HYDRO 2012, IIT Bombay, Mumbai, india

97.  Salvi K and Subimal Ghosh (2012), Climate Change and Simulations of Extreme Hydrologic Scenarios in India,  Indo-German Conference on Modeling, Simulation and Optimization in Applications, Darmstadt, Germany

98. Murari, K, Daly, E. and Ghosh, S., Change in Intensity-duration Relationship of Extreme Temperature Episodes in Transient Climate Over India., AOGS - AGU (WPGM) Joint Assembly, 13 to 17 August, 2012, Resorts World Convention Centre, Singapore

99. Salvi, K and Subimal Ghosh (2012), High Resolution Rainfall Projections in India for Climate Change Impact Assessment,     AOGS - AGU (WPGM) Joint Assembly, 13 to 17 August, 2012, Resorts World Convention Centre, Singapore

100.       Bhatia, U, Salvi K., and Subimal Ghosh (2011), Performance   Comparison of quantile base correction with KNN technique of Downscaling to project future temperature, Hydro, 2011, Surat, India, 29-30 December.

101.          Salvi, K, Kannan, S. and Subimal Ghosh (2011), Finer Scale Temperature and Rainfall Projections for Climate Change Impacts Assessment, 4th International Conference on Environmental and Computer Science, Singapore, Sept 16-18, 2011 [Key-note]

102.       Kannan, S. and Subimal Ghosh (2010), Multi-site daily rainfall prediction for climate change scenarios using the non-parametric k-nearest neighbours, The Ninth International Conference on Hydro-Science and Engineering (ICHE 2010), Indian Institute of Technology Madras,  Chennai, India. 2-5 August 2010

103.       Kannan S. and Subimal Ghosh (2010),Generation of Rainfall State in a River Basin incorporating Climate Change,, 17th IAHR-APD Congress, University of Auckland, Auckland, New Zealand, 21-24 February, 2010

104.       Subimal Ghosh, Luniya, V. and Gupta, A. (2010),Trend Analysis in Extreme Rainfall Events over Large Region in India: Is It Always Correct?,, 3rd developing nations conference: India 2010 - An International Perspective on Current & Future State of Water Resources & the Environment, January, 5-7, Chennai, India

105.       Subimal Ghosh (2009),SVM for Statistical Downscaling with Proper Selection of Parameters,, Workshop on Advanced Soft Computing Techniques (WAST2009), 15-16 October, 2009, Kanpur, India.

106.       P. P. Mujumdar, Ghosh, S. and Raje, D. (2009), Hydro-meteorological predictions from GCM simulations: downscaling techniques and uncertainty modeling, New Approaches to Hydrological Prediction in Data-sparse Regions (Proc. of Symposium HS.2 at the Joint IAHS & IAH Convention, Hyderabad, India, September 2009). IAHS Publ. 333, 2009, 165-175

107.       A K Agrawal, K Sree Ram Reddy, A S Dsouza, S S More, S Shrikrishna Kolwankar, A Sirohi and Subimal Ghosh (2008),Changes in Monsoon Rainfall Pattern in Indian Meteorological Subdivisions,, HYDRO 2008, Jaipur.

108.       Subimal Ghosh (2008): Modeling Hydrologic Impacts of Climate Change, National Conference on ,Sustainable Water Resources Development and Management,, Govt. Engg. College, Aurangabad (Invited Key Note Paper), June 13-14, 2008

109.       Subimal Ghosh and P. P. Mujumdar (2008): Correction for Bias in Downscaling GCM Simulations for Hydrologic Impact Assessment, Water Down Under 2008, Adelaide, Australia, April 14-17, 2008.

110.          Subimal Ghosh (2007): Statistical Downscaling with SVM-PGSL Coupled Approach for Prediction of Monsoon Rainfall, HYDRO-2007, Surat, India.

111.       Subimal Ghosh, and P. P. Mujumdar (2007): Modeling GCM and Scenario Uncertainty: An Imprecise Probability Approach, 3rd Indian International Conference on Artificial Intelligence, 17-19th December, 2007, Pune, India.

112.       Subimal Ghosh, Sashank M, and P. P. Mujumdar (2006): Waste Load Allocation: An Imprecise Fuzzy Risk Approach. International Conference on Civil Engineering in the New Millennium: Opportunities and Challenges (CENeM-2007), January 11-14, 2007, Bengal Engineering and Science University, Shibpur, Howrah, West Bengal, India. (Invited Key Note Paper)

113.       Subimal Ghosh and P. P. Mujumdar (2006): Minimization of Constarint Vioaltion in Fuzzy Multiobjective Programming, 7th International Conference on Hydroinformatics, (HIC 2006), 4th-8th Septemeber, 2006, Nice, France

114.       Subimal Ghosh, H. R. Suresh and P. P. Mujumdar (2005): Fuzzy Water Quality Management Model: Application to a Case Study, Proceedings of the 2nd Indian International Conference on Artificial Intelligence 2005 (IICAI 05), Pune, India, 20-22 Dec, 2005. pp. 2006-2015.

115.          Subimal Ghosh and P.P. Mujumdar (2005): A fuzzy waste load allocation model integrating skewness of distributions. National Conference on Advances in Water Engineering for Sustainable Development (NCAWESD-2005), Department of Civil Engineering, I.I.T. Madras, May 16 & 17, 2005

116.          Subimal Ghosh and P.P. Mujumdar (2005): Risk Minimization Model for River Water Quality Management. International Conference on Hydrological Perspectives of Sustainable Development 2005 (HYPESD '05).



Assessing Impact of Climate Change on Indian Subdivisional Rainfall, Funding Agency: IRCC, IIT Bombay. [2007-2010, Completed]

Multi-site Statistical Downscaling using Copula for Climate Change Impact Assessment on Hydrology, Funding Agency: Department of Science and Technology. [2008-2011, Completed, rated as ‘Excellent’]

Assessing Impacts of Global and Local Changes on River Basin Scale Hydrology, Funding Agency: Space Technology Cell, IITB-Indian Space Research Organization (ISRO). [2009-2012, On-going]

Downscaling for Projections of Indian Rainfall and Temperature at high spatial Resolution, Funding Agency: Space Application Centre, Indian Space Research Organization (ISRO). [2011-2012, Completed]

Impacts of Global and Local Changes on the Rainfall in a Metro City, Funding Agency: Ministry of Water Resources, Govt. of India. [2012-2015, on-going]

Seasonal Hydrologic Predictions based on Regional Forecasts of Monsoon Rainfall with CWRF and Statistical Downscaling, Ministry of Earth Sciences [2014-2017, on-going]

Near-Real-Time Urban Flood Forecasting System, Ministry of Earth Sciences [2014-2017, on-going, as Co-PI]

Coupled Human And Natural Systems Environment (CHANSE) for water management under uncertainty in the Indo-Gangetic Plain, Ministry of Earth Sciences (India) and National Environmental Research Council (UK) [Newton Bhaba Project, on-going]

Statistical Downscaling for hydro-climatic projections with CMIP5 simulations to assess Impacts of Climate Change, Ministry of water Resources [2017-2018]

 Design of an Expert System for Flood Forecasting and Management for the city of Chennai, Scientific Advisor to the Govt of India [Ongoing, 2016-2018]

Climate Change Impacts Assessment at fine resolution (0.25 spatial resolution) for West Bengal with Downscaling, Department of Environment, Govt of West Bengal [ Ongoing, 2016-17]

Extended Range Hydro-meteorological Forecasts for West Bengal at a District Level Department of Environment, Govt of West Bengal [Ongoing, 2017-18]



Ph. D.:

      As Main Supervisor

1.   S Kashid ( Jointly guided with Prof. Rajib Maity and Prof. M C Deo) [Completed]: Basin Scale Streamflow Forecasting with Hydro-meteorological and Hydro-climatological Inputs

2.    S. Kannan: Multi-site Statistical Downscaling to Assess Impacts of Climate Change [Completed] [Outstanding Thesis Award]

3.    Kamal Murari (At IITB Monash Research Academy, jointly guided with Dr. Edoardo Daly): Climate Change and Extremes: Impacts Analysis

4.    Kaustuv Salvi: Statistical Downscaling for Fine Resolution Rainfall and Temperature Projections and Its Credibility [Completed] [Outstanding Thesis Award]

5.    K Shashikanth (Jointly guided by Dr. K Rajendran, C-MMACS, Bangalore): Statistical Downscaling and Assessing Uncertainty for Regional Projections of Indian Monsoon [Completed]

6.    Amey Pathak (Jointly guided by Prof. Praveen Kumar, UIUC, USA): Role of Precipitation Recycling and Moisture Transport during Summer Monsoon in the Indian Sub-continent. [Completed]

7.    Hiteshri Shastri (Jointly guided by Prof. Subhankar Karnakar, CESE, IITB): Urban Climate in India: Characteristics, Forecasting and Projections [Completed]

8.    Swati Singh (Jointly guided by Prof. Subhankar Karnakar, CESE, IITB): Development and Evaluation of Regional Climate Models

9.      Supantha Paul (Jointly guided by Prof. Y S Rao, CSRE, IITB): Understanding Spatio-Temporal Variability of Indian Monsoon with WRF Simulations

10.  Sahana A S: Understanding Monsoon Characteristics and Incorporating them in Improved Seasonal Prediction

11.  Anamitra Saha (Jointly guided by Prof. E P Rao): Evaluating CMIP5 Simulations for Indian Monsoon and Their Sensitivity to Perturbed Conditions

12.  Anjana Devanand (Jointly guided by Prof. Subhankar Karmakar): Regional Simulations for Seasonal Monsoon Prediction

13. Beas Barik: Water Food Energy nexus

14. Jisha Joseph: Hydroclimatic Service with improved land surface modeling

15. Dawn Emil Sebastian: Role of Vegetation in water cycle.

16. Rishi Sahastrabuddhe: Monsoon Predictability

17. Ankur Srivastava: Coupled Simulations of Intraseasonal monsoon rainfall variability (External Supervisor: Dr SuryaChandra Rao, IITM, Pune)

18. Shrabani Tripathy: Multiscale monsoon forecasts for agricultural water management

As Co-Supervisor

1.    Hengade Narendra Vijay (Main Guide:  Prof. T I Eldho, co-guided by me): Impacts of Climate Change and Land Use Change on Hydrology

2.      Vittal H (Main Guide: Prof. Subhankar Karmakar)

3.      Tarul Sharma (Main Guide: Prof. Subhankar Karmakar)

4.    Jayasankar T (Main Guide: Prof. T I Eldho)

5.    Sumeet Kulkarni (Main Guide: Prof. M C Deo)

6.      Rakesh Kumar Sinha (Main Guide: Prof. T I Eldho)

7.      Mohit Mohanty (Main Guide: Prof. Subhankar Karmakar)

8.      Nitin Patil (Main Guide: Prof. Chandra Venkataraman)

9.      Sikha Singh (Main Guide: Prof. Sridhar B)

10.  Mousumi Ghosh (Main Guide: Prof. Subhankar Karmakar)

M. Tech:

19. Sudhir Katkar (Completed)

20. Munir Ahmad Nayak (Completed)

21.  Monika Arora (Completed)

22. Ankita Agrawal (completed)

23.  Dawn Emil Sebastian (Completed)

24. Sundar Niroula (Completed)

25. Tejasvi Chauhan (Ongoing)

26. Vikram Chandel (Ongoing)

27. Sankeerthana Chevva (Ongoing)



1.        Article entitled “Coupled LandAtmosphere Regional Model Reduces Dry Bias in Indian Summer Monsoon Rainfall Simulated by CFSv2”, published in Geophysical Research Letters has been selected as research spotlight of American Geophysical Union (2018)

2.        Lead Author of Intergovernmental Panel on Climate Change (IPCC) Working Group –I for Assessment report 6 (2018)

3.        The outstanding reviewer award for Journal of Hydrologic Enginnering, American Society of Civil Engineers (ASCE), 2015.

4.        Editorial Board Member (Associate Editor) of Journal of Earth System Science, published by Indian Academy of Sciences

5.        National Academy of Science India (NASI) Platinum Jubilee Young Scientist Award 2013 in Electronics, Computer and Engineering Sciences

6.        Reviewer of IPCC AR5 report (WG II)

7.        Young Scientist Award 2012 from Indian National Science Academy (INSA) in Engineering and Technology,

8.        Young Investigator Award 2012 from Industrial Research & Consultancy Centre, Indian Institute of Technology Bombay, Mumbai.

9.        Indian National Academy of Engineers (INAE) Young Engineer Award 2011.

10.    Institute of Engineers (India) Young Engineer (Civil) Award 2011

11.    The outstanding reviewer award for Journal of Hydrologic Enginnering, American Society of Civil Engineers (ASCE), 2010.

12.    BOYSCAST Fellowship 2010 from Department of Science and Technology, Government of India for carrying out research related to climate change in Oak Ridge national Laboratory, TN, United States of America.

13.    Young Scientist Award 2010 in “Engineering Sciences” from Indian Science Congress Association.

14.    Prof. N S Govinda Rao Medal Best Ph. D. Thesis Award 2007 from Department of Civil Engineering, Indian Institute of Science, Bangalore, India.

15.    The Fast Track Project Grant for Young Scientists from Science and Engineering Research Council (SERC), Department of Science and Technology (DST), India (2008)

16.    National Doctoral Fellowship Award from All India Council for Technical Education (AICTE) in 2004.

17.    Risk Minimization in Water Quality Control Problems of a River System,, by Ghosh and Mujumdar (2006) has been selected as one of the 25 hottest articles of Advances in Water Resources in 3 consecutive periods. (Oct-Dec 2005 [Rank-1], Jan-Mar 2006 [Rank-1], Apr-Jun 2006 [Rank-7]). []