GPM Refereed Publications
Bechtold, P., M. Janousek, and J. Schröttle ,
: Chapter 8 - Predicting the multiscale cloud and precipitation variability with a state-of-the-art ensemble forecast system. Science Direct: Multi-Scale Precipitation Variability Over the Tropics New Insights from Observations and Modelling, , 181-204, doi:https://doi.org/10.1016/B978-0-443-14030-3.00005-X.
Behera, I., N. Jain, T. R. Martha, and M. Bose,
: Optimising sampling strategies for AI-based landslide susceptibility mapping: a case study of Idukki, Kerala. Natural Hazards, 122(18), 18, doi:10.1007/s11069-025-07842-8.
Behrangi, A., A. S. Gardner, and D. N. Wiese,
: Comparative analysis of snowfall accumulation over Antarctica in light of Ice discharge and gravity observations from space. Environ. Res. Lett., 15, 104010, doi:10.1088/1748-9326/ab9926.
Behrangi, A., A. S. Gardner, J. T. Reager, and J. B. Fisher,
: Using GRACE to constrain precipitation amount over cold mountainous basins. Geophys. Res. Lett., 44(1), 219-227, doi:10.1002/2016GL071832.
Behrangi, A., and Y. Song,
: A new estimate for oceanic precipitation amount and distribution using complementary precipitation observations from space and comparison with GPCP. Environ. Res. Lett., 15, 124042, doi:10.1088/1748-9326/abc6d1.
Behrangi, A., and Y. Wen,
: On the Spatial and Temporal Sampling Errors of Remotely Sensed Precipitation Products. Remote Sensing, 9(11), 1127, doi:10.3390/rs9111127.
Behrangi, A., K. J. Bormann, and T. H. Painter,
: Using the Airborne Snow Observatory to Assess Remotely Sensed Snowfall Products in the California Sierra Nevada. Water Resources Res., 54(10), 7331-7346, doi:10.1029/2018WR023108.
Behrangi, A., X. Yin, S. Rajagopal, D. Stampoulis, and H. Ye,
: On distinguishing snowfall from rainfall using near‐surface atmospheric information: Comparative analysis, uncertainties and hydrologic importance. Quart. J. Roy. Meteor. Soc., 144(S1), 89-102, doi:10.1002/qj.3240.
Behrangi, A., Y. Song, G. J. Huffman, and R. F. Adler,
: Comparative Analysis of the Latest Global Oceanic Precipitation Estimates from GPM V07 and GPCP V3.2 Products. J. Hydrometeorology, 25(2), 293–309, doi:10.1175/JHM-D-23-0082.1.
Belair, S., P.-N. Feng, F. Lespinas, D. Khedhaouiria, D. Hudak, D. Michelson, C. Aubry, F. Beaudry, M. L. Carrera, and J. M. Theriault,
: IMERG in the Canadian Precipitation Analysis (CaPA) System for Winter Applications. Atmosphere, 15(7), 763, doi:10.3390/atmos15070763.
Benítez, V. D., F. P. Forgioni, M. A. Lovino, L. Sgroi, M. E. Doyle, and G. V. Müller,
: Capability of satellite data to estimate observed precipitation in southeastern South America. Int'l. J. Climatology, 44(3), 792-811, doi:10.1002/joc.8356.
Benkirane, M., A. Amazirh, N.-E. Laftouhi, S. Khabba, and A. Chehbouni,
: Assessment of GPM Satellite Precipitation Performance after Bias Correction, for Hydrological Modeling in a Semi-Arid Watershed (High Atlas Mountain, Morocco). Atmosphere, 14(5), 794, doi:10.3390/atmos14050794.
Berg, W., S. Bilanow, R. Chen, S. Datta, D. Draper, H. Ebrahimi, S. Farrar, W. Linwood Jones, R. Kroodsma, D. McKague, V. Payne, J. Wang, T. Wilheit, and J. X. Yang,
: Intercalibration of the GPM Radiometer Constellation. J. Atmos. Oceanic Technol., 33, 2639–2654, doi:10.1175/JTECH-D-16-0100.
Bhagwat, T., T. Kuemmerle, M. Soofi, P. F. Donald, N. Hölzel, A. Salemgareev, I. Stirnemann, R. Urazaliyev, M.s Baumann, and J. Kamp,
: A novel, post-Soviet fire disturbance regime drives bird diversity and abundance on the Eurasian steppe. Global Change Biology, 30(1), e17026, doi:10.1111/gcb.17026.
Bhuiyan, M. A. E., E. N. Anagnostou, P .E. Kirstetter,
: A Non-Parametric Statistical Technique for Modeling Overland TMI (2A12) Rainfall Retrieval Error. IEEE Geoscience and Remote Sensing Letters, 14(11), 1898-1902, doi:10.1109/LGRS.2017.2728658.
Bi, M., and X. Zou,
: Intensity and Structural Changes During the Eyewall Replacement Cycle of Typhoon Khanun (2023) Observed by Five POES Microwave Imagers. JGR Atmospheres, 130(17), e2025JD043523, doi:10.1029/2025JD043523.
Bieri, C. A., F. Dominguez, G. Miguez-Macho, and Y. Fan,
: Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration. Geoscientific Model Development, 18(12), 3755–3779, doi:10.5194/gmd-18-3755-2025.
Biswas, N. K., T. A. Stanley, D. B. Kirschbaum, P. M. Amatya, C. Meechaiya, A. Poortinga, and P. Towashiraporn,
: A dynamic landslide hazard monitoring framework for the Lower Mekong Region. Frontiers in Earth Science, (10), , doi:10.3389/feart.2022.1057796.
Biswas, S., C. Singh, V. Bharti, S. Roy, and R. Singh,
: Unfolding extreme rainfall events characteristics over the North-West Himalayan region based on recent GPM-IMERGV7 remotely sensed observations. J. Hydrology, 654, 132823, doi:10.1016/j.jhydrol.2025.132823.
Biswas, U., S. Mahato, and P. K. Joshi,
: Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems. Environmental Science and Pollution Research, 32, 4856–4878, doi:10.1007/s11356-025-35982-8.