Baño-Medina, J., Sengupta, A., Doyle, J. D., Reynolds, C. A., Watson-Parris, D., & Monache, L. D. (2025). Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia. Npj Climate and Atmospheric Science, 8(1), 92. https://doi.org/10.1038/s41612-025-00949-6

Yang, Z., DeFlorio, M. J., Sengupta, A., Wang, J., Castellano, C. M., Gershunov, A., Guirguis, K., Slinskey, E., Guan, B., Delle Monache, L., & Ralph, F. M. (2024). Seasonality and climate modes influence the temporal clustering of unique atmospheric rivers in the Western U.S. Communications Earth & Environment, 5(1), 734. https://doi.org/10.1038/s43247-024-01890-x

Baño-Medina, J., Sengupta, A., Watson-Parris, D., Hu, W., & Delle Monache, L. (2024). Towards calibrated ensembles of neural weather model forecasts. https://doi.org/10.22541/essoar.171536034.43833039/v1

Ghazvinian, M., Delle Monache, L., Afzali Gorooh, V., Steinhoff, D., Sengupta, A., Hu, W., Simpson, M., Weihs, R., Papadopoulos, C., Mulrooney, P., Kawzenuk, B., Mascioli, N., & Ralph, F. M. (2024). Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events. Monthly Weather Review. https://doi.org/10.1175/MWR-D-23-0277.1

DeFlorio, M. J., Sengupta, A., Castellano, C. M., Wang, J., Zhang, Z., Gershunov, A., Guirguis, K., Luna Niño, R., Clemesha, R. E. S., Pan, M., Xiao, M., Kawzenuk, B., Gibson, P. B., Scheftic, W., Broxton, P. D., Switanek, M. B., Yuan, J., Dettinger, M. D., Hecht, C. W., … Anderson, M. L. (2024). From California’s Extreme Drought to Major Flooding: Evaluating and Synthesizing Experimental Seasonal and Subseasonal Forecasts of Landfalling Atmospheric Rivers and Extreme Precipitation during Winter 2022/23. Bulletin of the American Meteorological Society, 105(1), E84–E104. https://doi.org/10.1175/BAMS-D-22-0208.1

Hu, W., Ghazvinian, M., Chapman, W. E., Sengupta, A., Ralph, F. M., & Delle Monache, L. (2023). Deep Learning Forecast Uncertainty for Precipitation over Western US. Monthly Weather Review. https://doi.org/10.1175/MWR-D-22-0268.1

Raymond, C., Waliser, D., Guan, B., Lee, H., Loikith, P., Massoud, E., Sengupta, A., Singh, D., & Wootten, A. (2022). Regional and elevational patterns of extreme heat stress change in the US. Environmental Research Letters, 17(6), 064046. https://doi.org/10.1088/1748-9326/ac7343

Sengupta, A., Waliser, D. E., Massoud, E. C., Guan, B., Raymond, C., & Lee, H. (2022). Representation of Atmospheric Water Budget and Uncertainty Quantification of Future Changes in CMIP6 for the Seven U.S. National Climate Assessment Regions. Journal of Climate, 1–46. https://doi.org/10.1175/JCLI-D-22-0114.1

Sengupta, A., Singh, B., DeFlorio, M., Raymond, C., Robertson, A. W., Zeng, X., Waliser, D. E., & Jones, J. (2022). Advances in Sub-seasonal to Seasonal Prediction Relevant to Water Management in the Western United States. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-22-0146.1

Nigam, S., & Sengupta, A. (2021). The Full Extent of El Niño’s Precipitation Influence on the United States and the Americas: The Suboptimality of the Niño 3.4 SST Index. Geophysical Research Letters, 48(3). https://doi.org/10.1029/2020GL091447

Nigam, S., Ruiz-Barradas, A., & Sengupta, A. (2021). The Chennai water crisis: Insufficient rainwater or suboptimal harnessing of runoff? Current Science, 120(1), 43–55. https://www2.atmos.umd.edu/~nigam/The.Chennai.Water.Crisis.Current.Science.10January2021.pdf

Wootten, A., Massoud, E., Sengupta, A., Waliser, D., & Lee, H. (2020). The Effect of Statistical Downscaling on the Weighting of Multi-Model Ensembles of Precipitation. Climate, 8(12), 138. https://doi.org/10.3390/cli8120138

Massoud, E., Massoud, T., Guan, B., Sengupta, A., Espinoza, V., De Luna, M., Raymond, C., & Waliser, D. (2020). Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA). Water, 12(10), 2863. https://doi.org/10.3390/w12102863

Nigam, S., Sengupta, A., & Ruiz-Barradas, A. (2020). Atlantic–Pacific Links in Observed Multidecadal SST Variability: Is the Atlantic Multidecadal Oscillation’s Phase Reversal Orchestrated by the Pacific Decadal Oscillation? Journal of Climate, 33(13), 5479–5505. https://doi.org/10.1175/JCLI-D-19-0880.1

Sengupta, A., & Nigam, S. (2019). The Northeast Winter Monsoon over the Indian Subcontinent and Southeast Asia: Evolution, Interannual Variability, and Model Simulations. Journal of Climate, 32(1), 231–249. https://doi.org/10.1175/JCLI-D-18-0034.1

Sengupta, A., & Rajeevan, M. (2013). Uncertainty quantification and reliability analysis of CMIP5 projections for the Indian summer monsoon. Current Science, 105(12), 1692–1703. https://www.currentscience.ac.in/Volumes/105/12/1692.pdf