| Failure of CMIP5 climate models in simulating post‐1950 decreasing trend of Indian monsoon A Saha, S Ghosh, AS Sahana, EP Rao Geophysical Research Letters 41 (20), 7323-7330, 2014 | 194 | 2014 |
| Climate controls on the terrestrial water balance: Influence of aridity on the basin characteristics parameter in the Budyko framework A Saha, J Joseph, S Ghosh Science of the Total Environment 739, 139863, 2020 | 27 | 2020 |
| Development of India’s first integrated expert urban flood forecasting system for Chennai S Ghosh, S Karmakar, A Saha, MP Mohanty, S Ali, SK Raju, ... Current Science 117 (5), 741-745, 2019 | 25 | 2019 |
| Characteristics of Bay of Bengal monsoon depressions in the 21st century D Rastogi, M Ashfaq, LR Leung, S Ghosh, A Saha, K Hodges, K Evans Geophysical Research Letters 45 (13), 6637-6645, 2018 | 25 | 2018 |
| Can the weakening of Indian Monsoon be attributed to anthropogenic aerosols? A Saha, S Ghosh Environmental Research Communications 1 (6), 061006, 2019 | 20 | 2019 |
| Dominant controls of cold-season precipitation variability over the high mountains of Asia S Mehmood, M Ashfaq, S Kapnick, S Gosh, MA Abid, F Kucharski, ... npj Climate and Atmospheric Science 5 (1), 65, 2022 | 12 | 2022 |
| Statistical‐physical adversarial learning from data and models for downscaling rainfall extremes A Saha, S Ravela Journal of Advances in Modeling Earth Systems 16 (6), e2023MS003860, 2024 | 9* | 2024 |
| A minimalistic seasonal prediction model for Indian monsoon based on spatial patterns of rainfall anomalies R Sahastrabuddhe, S Ghosh, A Saha, R Murtugudde Climate Dynamics 52, 3661-3681, 2019 | 9 | 2019 |
| Relative impacts of projected climate and land use changes on terrestrial water balance: a case study on Ganga River basin A Saha, S Ghosh Frontiers in Water 2, 12, 2020 | 7 | 2020 |
| Learning inter-annual flood loss risk models from historical flood insurance claims J Salas, A Saha, S Ravela Journal of Environmental Management 347, 118862, 2023 | 5* | 2023 |
| Rapid Statistical-Physical Adversarial Downscaling Reveals Bangladesh's Rising Rainfall Risk in a Warming Climate A Saha, S Ravela arXiv preprint arXiv:2408.11790, 2024 | 1 | 2024 |
| Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate A Saha, S Ravela arXiv preprint arXiv:2412.16407, 2024 | | 2024 |
| Learning Surrogate Extreme Rainfall-driven Inundation Models with Few Data MA Mirhoseini, A Saha, S Ravela AGU24, 2024 | | 2024 |
| Assessing cascading flood hazards in a warming climate J Qiu, A Saha, S Ravela AGU24, 2024 | | 2024 |
| Downscaling Precipitation Extremes Using Physics-coupled Dynamic Data Driven Adversarial Learning A Saha, S Ravela EGU General Assembly Conference Abstracts, EGU-10931, 2023 | | 2023 |
| Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk A Saha, J Salas, S Ravela International Conference on Dynamic Data Driven Applications Systems, 417-424, 2022 | | 2022 |
| Improvement of Seasonal Prediction for Indian Monsoon based on Spatial Patterns using Deep Learning Techniques RD Sahastrabuddhe, S Ghosh, A Saha, RG Murtugudde AGU Fall Meeting 2018, A41L-3157, 2018 | | 2018 |
| Evaluation of CMIP5 Models for post-1950 Weakening of Indian Monsoon A Saha, S Saheer, S Ghosh, P Rao Emmela EGU General Assembly Conference 2015, 338, 2015 | | 2015 |
Subimal GhoshProfessor, Interdisciplinary Program in Climate Studies, and Department of Civil Engineering, IITBestätigte E-Mail-Adresse bei civil.iitb.ac.in
