Department of Civil Engineering,
Associate Faculty, Interdisciplinary Program in Climate Studies
Associate Faculty, Centre for Urban Science and Engineering
Indian Institute of Technology Bombay,
Mumbai – 400 076, India.
E-mail: subimal @ civil.iitb.ac.in; subimal.ghosh @ gmail.com
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 - 2002 - Bachelor of Engineering (Jadavpur, Kolkata)
1. Climate Change Signals and Response: A Strategic Knowledge Compendium for India (2018), Ed by Venkataran, C., Mishra, T, Ghosh, S and Karmakar, S. (Pub: Springer, In Press)
2. Pathak, A, Paul, S, and Ghosh S (2018), Land-Surface Feedback and Impacts of Land-Use Change to Indian Monsoon Rainfall. In Climate Change Signals and Response: A Strategic Knowledge Compendium for India, Springer.
3. Shastri H and Ghosh, S (2018), Urbanization and Surface Heat island Intensity, In Climate Change Signals and Response: A Strategic Knowledge Compendium for India, Springer.
4. Murari K and Ghosh S (2018), Future Heat Wave Projections and Impacts. In Climate Change Signals and Response: A Strategic Knowledge Compendium for India, Springer.
5. 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.
6. Saha, A., Shashikanth, K and Ghosh S (2018), Changing Monsoon Behaviour with the Evaluation of CMIP5 Climate Models, Sustainable Holistic Water Resources Management in a Changing Climate (Pub: Jain Brothers)
7. Mujumdar, P., P., and S. Ghosh (2008), Fuzzy Logic Based Approaches in Water Resources Systems Modeling, Practical Hydroinformatics, (Eds) R.J. Abrahart, Linda See and D. P. Solomatine, Water Science and Technology Library (Pub : Springer) ISBN : 978-3-540-79980-4, pp. 165-176.
8. Raje, D., Ghosh, S. and Mujumdar, P. P. (2012) Hydrologic impacts of climate change: Quantification of Uncertainties, Climate Change Modeling Mitigation and Adaptation, (Eds) Rao Y. Surampalli, Tian C. Zhang, C. S. P. Ojha, B. Gurjar, R.D.Tyagi and C.M.Kao, (Pub : American Soc. Civil Engrs (ASCE)) (http://ascelibrary.org/doi/abs/10.1061/9780784412718)
9. Ghosh, S and Roy A (2019), “Method and electronic device for irrigation water management” [Indian Patent Filed, Application no: E-137/5285/2019/MUM]
10. Ghosh, S, Tripathy, S and Karmakar S (2019), “Method for real time forecasting of Flood Risk considering Hazard, Exposure and Vulnerability" [Indian Patent Filed, Application no: 202021000003]
11. Chun K P, He Q, Fok, H S, Ghosh, S, Yetemen, O, Chen, Q, Mijic, A (2020), Gravimetry-based water storage shifting over the China-India border area controlled by regional climate variability, Science or Total Environment (In Press)
12. Sharma T, Vittal, H, Karmkar S and Ghosh S (2019), Increasing agricultural risk to hydro-climatic extremes in India, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ab63e1
13. Vittal H, Karmakar S, Ghosh, S and Murtugudde R (2019), A comprehensive India-wide social vulnerability analysis: highlighting its influence on hydro-climatic risk, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ab6499
14. Sebastian, D.E., Ganguly, S., Krishnaswamy, J., Duffy, K., Nemani, R. and Ghosh, S., 2019. Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach. Remote Sensing, 11(22), p.2703.
15. Mohanty, M.P., Vittal, H., Yadav, V., Ghosh, S., Rao, G.S. and Karmakar, S., 2020. A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions. Journal of Environmental Management, 255, p.109733.
16. Salvi, K. and Ghosh, S., (2019). A kaleidoscopic research memoir on Indian summer monsoon rainfall. MAUSAM, 70(2), pp.293-298.
17. Saha, A. and Ghosh, S., (2019). Can the weakening of Indian Monsoon be attributed to anthropogenic aerosols?. Environmental Research Communications, 1(6), p.061006.
18. Patel, P., Ghosh, S., Kaginalkar, A., Islam, S. and Karmakar, S., (2019). Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment. Atmospheric Research, 223, pp.39-48.
19. Devanand A, Huang, M. Moetasim, A, Barik, B and Ghosh S. (2019), Choice of Irrigation Water Management Practice affects Indian Summer Monsoon Rainfall and its Extremes, Geophysical Research Letters, 46, https://doi.org/10.1029/2019GL083875
20. Jayasankar, T., Eldho, T.I., Ghosh, S. and Murtugudde, R. (2019) Assessment of the interannual variability of local atmospheric and ITF contribution to the subsurface heat content of southern tropical Indian Ocean in GECCO2 and ORAS4 using ROMS, Global and Planetary Change, https://doi.org/10.1016/j.gloplacha.2019.05.014
21. Patel, P, Ghosh, S., Kaginalkar, A, Islam, S. and Karmakar, S (2019) Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment, Atmospheric Research, 223, 39-48, ISSN 0169-8095, https://doi.org/10.1016/j.atmosres.2019.03.005.
22. Patil, N., Venkataraman, C., Muduchuru, K., Ghosh, S. and Mondal, A. (2019). Disentangling sea-surface temperature and anthropogenic aerosol influences on recent trends in South Asian monsoon rainfall. Climate Dynamics, 52, 2287–2302 https://doi.org/10.1007/s00382-018-4251-y
23. Paul, S., Ghosh, S., Rajendran, K., & Murtugudde, R. (2019). Moisture supply from the Western Ghats forests to water deficit East Coast of India. Geophysical Research Letters, 45, 4337–4344. https://doi.org/10.1029/2018GL078198
24. Sahana A.S., Pathak, A, Roxy, M K and Ghosh S (2019), Understanding the role of moisture transport on the dry bias in Indian monsoon simulations by CFSv2, Climate Dynamics, 52, 637–651 https://doi.org/10.1007/s00382-018-4154-y
25. Thiruvengadam, P, Indu J and Ghosh, S (2019) Assimilation of Doppler Weather Radar Data with a Regional WRF-3DVAR System: Impact of Control Variables on Forecasts of a Heavy Rainfall Case, Advances in Water Resources, 126, 24-39, ISSN 0309-1708 https://doi.org/10.1016/j.advwatres.2019.02.004
26. Singh, D, Ghosh, S, Roxy, M K, McDermid S (2019) Indian Summer Monsoon: Extreme Events, Historical Changes and Role of Anthropogenic Forcings, WIREs Climate Change, 10(2), e571. https://doi.org/10.1002/wcc.571
27. Shastri, H., Ghosh, S., Paul, S., Shafizadeh-Moghadam, H., Helbich, M. and Karmakar, S. (2019) Future urban rainfall projections considering the impacts of climate change and urbanization with statistical-dynamical integrated approach, Climate Dynamics, 52 (9-10), 6033-6051, https://doi.org/10.1007/s00382-018-4493-8
28. Mohanty, M.P., Sherly, M.A., Karmakar, S. and Ghosh, S. (2018) Regionalized Design Rainfall Estimation: An Appraisal of Inundation Mapping for Flood Management Under Data-Scarce Situations, Water Resources Management, 32(14), 4725–4746.
29. Gusain, A., Vittal, H., Kulkarni, S., Ghosh, S. and Karmakar, S. (2018) Role of vertical velocity in improving finer scale statistical downscaling for projection of extreme precipitation, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-018-2615-1
30. Joseph, J., Ghosh, S., Pathak, A. and Sahai, A.K. (2018) Hydrologic Impacts of Climate Change: Comparisons between Hydrological Parameter Uncertainty and Climate Model Uncertainty, Journal of Hydrology, 566, 1-22, DOI: 10.1016/j.jhydrol.2018.08.080 .
31. Sahana, A. S., & Ghosh, S. (2018). An improved prediction of Indian summer monsoon onset from state-of-the-art dynamic model using physics-guided data-driven approach, Geophysical Research Letters, 45, 8510–8518. https:// doi.org/10.1029/2018GL078319
32. Sahastrabuddhe, R, Ghosh, S and Murtugudde R (2018), A Minimalistic Seasonal Prediction Model for Indian Monsoon based on Spatial Patterns of Rainfall Anomalies, Climate Dynamics, https://doi.org/10.1007/s00382-018-4349-2 (In Press)
33. Rastogi, D., Ashfaq, M., Leung, L. R., Ghosh, S., Saha, A., Hodges, K., & Evans, K. (2018). Characteristics of Bay of Bengal monsoon depressions in the 21st century, Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL078756
34. 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, 561, 509-522, https://doi.org/10.1016/j.jhydrol.2018.04.029
35. 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), 8, 3918, https://doi.org/10.1038/s41598-018-22322-9
36. Devanand, A., Roxy, M. K., & Ghosh, S. (2018). Coupled land‐atmosphere regional model reduces dry bias in Indian summer monsoon rainfall simulated by CFSv2, Geophysical Research Letters, 45, 2476–2486. https://doi.org/10.1002/2018GL077218
37. 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, 38(Suppl.1), e178-e190. doi:10.1002/joc.5361
38. Madhusoodhanan, C. G., Shashikanth, K., Eldho, T. I. and Ghosh, S. (2018), Can statistical downscaling improve consensus among CMIP5 models for Indian summer monsoon rainfall projections?, International Journal of Climatology, 38, 2449-2461. doi:10.1002/joc.5352
39. Shashikanth, K, Ghosh, S, Vittal, H and Karmakar, S (2018), Future Projections of Indian Summer Monsoon Rainfall Extremes over India with Statistical Downscaling and its Consistency with Observed Characteristics, Climate Dynamics, 51, 1-15. https://doi.org/10.1007/s00382-017-3604-2
40. Kulkarni, S., Deo, M C and Ghosh, S. (2018), Impact of active and break wind spells on the demand supply balance in wind energy in India, Meteorology and Atmospheric Physics, 130, 81-97. https://doi.org/10.1007/s00703-017-0501-5
41. 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, https://doi.org/10.1038/s41598-017-13115-7
42. 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, 98(11), ES285-ES290
43. 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.
44. 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, 50, 4127–4147. https://doi.org/10.1007/s00382-017-3864-x
45. 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 Science, 126(3), 38.
46. 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, 21(6), 3041-3060, https://doi.org/ 10.5194/hess-21-3041-2017
47. 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 Advances, 3(6), e1700066.
48. 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, Journal of Geophysical Research: Atmospheres, 122(3),1617-1634.
49. Salvi, K., Villarini, G., Vecchi, G. A., and Ghosh, S. (2017), Decadal temperature predictions over the continental United States: Analysis and Enhancement, Climate Dynamics, 49, 3587-3604. https://doi.org/10.1007/s00382-017-3532-1
50. 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, 40178.
51. 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 Interannual variability of Summer Monsoon in India, Journal of Climate, 30, 1839–1859 https://doi.org/10.1175/JCLI-D-16-0156.1
52. 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, 50 (23), 12527–12529. DOI: 10.1021/acs.est.6b05246
53. 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.
54. 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, 139, 667-681. https://doi.org/10.1007/s10584-016-1824-9
55. 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.
56. 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, 31039, https://doi.org/10.1038/srep31039.
57. 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
58. 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
59. Murari, K. K., Sahana, A. S., Daly, E. and Ghosh, S. (2016), The influence of the El Niño Southern Oscillation on heat waves in India. Met. Apps, 23, 705-713. doi:10.1002/met.1594
60. 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 48, 1375-1397. https://doi.org/10.1007/s00382-016-3147-y
61. Salvi, K, S. Ghosh and Ganguly A R (2015), Credibility of Statistical Downscaling under Nonstationary Climate, Climate Dynamics 46, 1991-2023. https://doi.org/10.1007/s00382-015-2688-9
Sahana, A. S.,
Ghosh, S., Ganguly, A. and Murtugudde, R. (2015), Shift in Indian
Summer Monsoon Onset during 1976/1977, Environmental Research Letters,
63. Shastri, H., S. Paul, S. Ghosh, and S. Karmakar (2015), Impacts of urbanization on Indian summer monsoon rainfall extremes, Journal of Geophysical Research: Atmospheres, 120, 495-516, DOI:10.1002/2014JD022061
64. 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, 15(4), 569-579
65. 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, 519 D, 3163-3177, 10.1016/j.jhydrol.2014.10.042
66. 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, Geophysical Research Letters, 41, 7323-7330, doi:10.1002/2014GL061573.
67. Pathak, A, Ghosh, S and Kumar P (2014), Precipitation Recycling in the Indian Subcontinent during Summer Monsoon, Journal of Hydrometeorology, 15(5), 2050-2066
68. Kannan S, Ghosh, S, Mishra, V and Salvi K (2014), Uncertainty Resulting from Multiple Data Usage in Statistical Downscaling, Geophysical Research Letters, 41, 4013-4019, doi:10.1002/2014GL060089.
69. 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, 33-53 http://dx.doi.org/10.1016/j.marstruc.2014.02.005
70. 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, Nonlinear Processes in Geophysics., 21(4), 777-795, 2014.
71. 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., 118, 10,676–10,693, doi: 10.1002/jgrd.50816.
72. Shashikanth, K. , Salvi, K. , Ghosh, S. and Rajendran, K. (2014), Do CMIP5 simulations of Indian summer monsoon rainfall differ from those of CMIP3?. Atmos. Sci. Lett., 15: 79-85. doi:10.1002/asl2.466
73. 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.
74. Patil K, Deo M C, Ghosh, S 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, http://dx.doi.org/10.1155/2013/302479
75. Nayak, M A and Ghosh, S (2013), Prediction of extreme rainfall event using weather pattern recognition and support vector machine classifier, Theoretical and Applied Climatology, doi: 10.1007/s00704-013-0867-3
76. 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.
77. 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.
78. 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
79. Kodra, E, Ghosh, S 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
80. 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
81. 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.
82. Katkar, S., Gupta A., and Ghosh, S (2010), Transfer Function based Downscaling Methods for Assessing Future Rainfall using GCM Output, Hydrology Journal, Vol. 33, 9-16.
83. Kashid S, Ghosh, S 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
84. Ghosh, S and Misra C (2010),Assessing Hydrological Impacts of Climate Change: Modeling Techniques and Challenges,, Open Hydrology Journal, 4, 115-121
85. Ghosh, S (2010),Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula,, Hydrological Processes, 24, 3558-3567
86. Kannan, S. and Ghosh, S (2010),Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output,, Stochastic Environmental Research and Risk Assessment, Springer.
87. Ghosh, S, Raje D. and P. P. Mujumdar (2010),Mahanadi Streamflow: Climate Change Impact Assessment and Adaptive Strategies,, Current Science, 98(8), pp 1084-1091.
88. Ghosh, S and P. P. Mujumdar (2010): Fuzzy Waste Load Allocation Model: A Multiobjective Approach, Journal of Hydroinformatics, 12.1, 96-109.
89. Ghosh, S, 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
90. Musti, S., Ghosh, S 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
91. Ghosh, S 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
92. Mujumdar P. P. and Ghosh, S (2008), Climate Change Impact on Hydrology and Water Resources, ISH Journal of Hydraulic Engineering, 14(3), 1-17.
93. 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
94. Ghosh, S and P. P. Mujumdar (2008): Statistical Downscaling of GCM Simulations to Streamflow Ghosh,Susing Relevance Vector Machine. Advances in Water Resources. (Pub: Elsevier, Netherlands), 31(1), pp. 132-146
95. Ghosh,S and P. P. Mujumdar, (2007), “Nonparametric Methods for Modeling GCM and Scenario Uncertainty in Drought Assessment”, Water Resources Research, AGU, 43, W07405, doi:10.1029/2006WR005351.
96. Ghosh,S and P. P. Mujumdar, (2006), “Future Rainfall Scenario over Orissa with GCM Projections by Statistical Downscaling”, Current Science (Indian Academy of Sciences), 90(3), pp. 396-404.
97. Ghosh,S, and P. P. Mujumdar, (2006), “Risk Minimization in Water Quality Control Problems of a River System”, Advances in Water Resources, Elsevier, 29, pp. 458-470.
98. V. V. R. Subbarao, P. P. Mujumdar, and Ghosh,S (2004),“Risk Evaluation in Water Quality Management of a River System”, Journal of Water Resour. Plng and Mgmt., ASCE, 130(5), pp 413-423.
Conference Proceedings/ Abstracts/ Extended Abstracts (Published)
99. Sahastrabuddhe, R., Saha, A., Ghosh, S., Murtugudde, R. (2018) Improvement of Seasonal Prediction for Indian Monsoon based on Spatial Patterns using Deep Learning Techniques, 2018 American Geophysical Union Fall Meeting, Washington, D.C., USA
100. Devanand, A., Roxy, M. K., Ghosh, S. (2018). Role of land-atmospheric processes in CFSv2 monsoon rainfall dry bias over India. EGU2018-950, European Geosciences Union General Assembly, 8-13 April 2018, Vienna, Austria.
101. Devanand, A., Huang, M., Ashfaq, M., Barik, B., Subhankar, K., Ghosh, S. (2018). Impact of irrigation and groundwater pumping over the Ganga Basin on the Indian summer monsoon. CESM land model working group session, CESM Workshop, 18-20 June 2018, NCAR - Boulder, CO, United States.
102. Sebastian, D., Ghosh, S and Krishnaswamy, J (2018) Influence of Climate Variables on Phenology of Indian Forests. Remote sensing of interactions between vegetation and hydrology, Paper number: EGU2018-997, EGU General Assembly 2018, Vienna, Austria.
103. Ghosh, S., Shastri, H., Pathak, A. and Paul, S., 2017, April. Changing Pattern of Indian Monsoon Extremes: Global and Local Factors. In EGU General Assembly Conference Abstracts (Vol. 19, p. 2392).
104. Singh, S., Ghosh, S. and Karmakar, S., 2017, April. Performance of CORDEX-Evaluation Simulations for Indian Summer Monsoon under Non-Stationary Climate. In EGU General Assembly Conference Abstracts (Vol. 19, p. 3108).
105. 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.
106. 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.
107. 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.
108. 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.
109. 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.
110. 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.
111. 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
112. 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.
113. 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.
114. 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.
115. 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.
116. 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
117. 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,Symposium2015, NIO, Goa, India.
118. 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)
119. 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.
120. 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.
121. 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.
122. 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.
123. 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
124. 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.
125. Shastri, H., Ghosh. S., and Karmakar, S. (2013), Impacts of Urbanization on Indian Summer Monsoon Rainfall, AGU Fall Meeting 2013, San Francisco, USA.
126. Pathak, A, Ghosh S. and Kumar, P (2012), Precipitation recycling in India during South West Monsoon, AGU Fall Meeting, 3-7 December, 2012
127. Shashikanth, K., S. Ghosh and K. Rajendran (2012), Fine scale projections of Indian monsoonal rainfall using statistical models, AGU Fall Meeting, 3-7 Dec 2012, San Francisco, California, USA.
128. Vittal Hari, Subhankar Karmakar, Subimal Ghosh (2012), "Detection of Spatio-temporal variations of rainfall and temperature extremes over India", American Geophysical Union (AGU) meet, fall 2012, San-Francisco.
129. Salvi, K and Ghosh, S (2012), Future Patterns of Flood and Drought in India Using the Three Month Standardized Precipitation Index, HYDRO 2012, IIT Bombay, Mumbai, India
130. Salvi K and Ghosh, S (2012), Climate Change and Simulations of Extreme Hydrologic Scenarios in India, Indo-German Conference on Modeling, Simulation and Optimization in Applications, Darmstadt, Germany.
131. 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.
132. Salvi, K and Ghosh, S (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.
133. Bhatia, U, Salvi K., and Ghosh, S (2011), Performance Comparison of quantile base correction with KNN technique of Downscaling to project future temperature, Hydro, 2011, Surat, India, 29-30 December.
134. Salvi, K, Kannan, S. and Ghosh, S (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]
Paliwal, V. and Ghosh,S (2010), Selection of
Spatial Extent of Predictor Variables in Statistical Downscaling, The
Ninth International Conference on Hydro-Science and Engineering (ICHE
2010), Indian Institute of Technology Madras, Chennai, India. 2-5 August
Kannan, S. and
Ghosh,S (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
137. Kannan, S. and Ghosh,S (2010), “Generation of Rainfall State in a River Basin incorporating Climate Change”, IAHR-APD 2010 Congress Auckland New Zealand, February, 2010
138. Ghosh,S, 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
139. Ghosh,S (2009), “SVM for Statistical Downscaling with Proper Selection of Parameters”, Workshop on Advanced Soft Computing Techniques (WAST2009), 15-16 October, 2009, Kanpur, India.
140. Mujumdar, P. P., Ghosh,S, and Raje, D. (2009), “Hydro-meteorological predictions from GCM simulations: downscaling techniques and uncertainty modelling”,IAHS Publ. 333 (Proceedings of HS.2 at the Joint IAHS & IAH Convention a symposium held in Hyderabad, India, September 2009, pp 165-175.
141. A K Agrawal, K Sree Ram Reddy, A S Dsouza, S S More, S Shrikrishna Kolwankar, A Sirohi and Ghosh,S (2008), “Changes in Monsoon Rainfall Pattern in Indian Meteorological Subdivisions”, HYDRO 2008, Jaipur.
142. Ghosh,S (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
143. Ghosh,S 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.
144. Ghosh,S and P. P. Mujumdar (2007), “Modeling GCM and Scenario Uncertainty: An Imprecise Probability Approach”, 3rd Indian International Conference on Artificial Intelligence 2007 (IICAI 07), Pune, India.
145. Ghosh,S, Sashank M, and P. P. Mujumdar (2007), “Waste Load Allocation: An Imprecise Fuzzy Risk Approach”, International Conference on Civil Engineering in the New Millennium: Opportunities and Challenges (CENeM-2007), Bengal Engineering and Science University, Shibpur, Howrah, West Bengal, India. (Invited Key Note Paper), January 11-14, 2007.
146. Ghosh,S and P.P. Mujumdar (2006), “Minimization of Constraint Violation in Fuzzy Multiobjective Programming”, 7th International Conference on Hydroinformatics - HIC 2006, Acropolis, Nice, France, 4 - 8 September 2006.
147. Ghosh,S, 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.
148. Ghosh,S, 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.
149. Ghosh,S, and P.P. Mujumdar, (2005), “Risk Minimization Model for River water Quality management”, Proceedings of International Conference on Hydrological Perspectives for Sustainable Development (HYPESD - 2005), 23 - 25 February 2005, Indian Institute of Technology Roorkee, India, pp. 932-940.
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]
As Main Supervisor
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
S. Kannan: Multi-site Statistical Downscaling to Assess Impacts of Climate Change [Completed] [Outstanding Thesis Award]
Kamal Murari (At IITB Monash Research Academy, jointly guided with Dr. Edoardo Daly): Climate Change and Extremes: Impacts Analysis
Kaustuv Salvi: Statistical Downscaling for Fine Resolution Rainfall and Temperature Projections and Its Credibility [Completed] [Outstanding Thesis Award]
K Shashikanth (Jointly guided by Dr. K Rajendran, C-MMACS, Bangalore): Statistical Downscaling and Assessing Uncertainty for Regional Projections of Indian Monsoon [Completed]
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]
Hiteshri Shastri (Jointly guided by Prof. Subhankar Karnakar, CESE, IITB): Urban Climate in India: Characteristics, Forecasting and Projections [Completed]
Swati Singh (Jointly guided by Prof. Subhankar Karnakar, CESE, IITB): Development and Evaluation of Regional Climate Models [Completed]
Supantha Paul (Jointly guided by Prof. Y S Rao, CSRE, IITB): Understanding Spatio-Temporal Variability of Indian Monsoon with WRF Simulations [Completed]
10. Sahana A S: Understanding Monsoon Characteristics and Incorporating them in Improved Seasonal Prediction [Completed]
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
19. Adrija Roy
20. Sachin Budakoti (Jointly guided by Prof. Subhankar Karmakar)
21. Aditi Modi (External Supervisor: Dr Roxy Mathew Koll, IITM, Pune)
22. Tejasvi Chauhan
23. Rupapati Chakraborti
24. Ripan Das (Jointly guided by Prof. Subhankar Karmakar)
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)
Tarul Sharma (Main Guide: Prof. Subhankar Karmakar)
Jayasankar T (Main Guide: Prof. T I Eldho)
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)
11. P Thiruvengadam (Main Guide: Prof. J Indu)
12. Suma Bhanu Battula (Main Guide: Prof. Arpita Mondal and Prof. Steven Siems, Monash University)
Sudhir Katkar (Completed)
Munir Ahmad Nayak (Completed)
Monika Arora (Completed)
28. Ankita Agrawal (completed)
29. Dawn Emil Sebastian (Completed)
30. Sundar Niroula (Completed)
31. Tejasvi Chauhan (upgraded to PhD)
32. Vikram Chandel (Completed)
33. Sankeerthana Chevva (Completed)
34. Sarosh Alam Ghausi (Ongoing)