GPM Refereed Publications
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.
Bell, J. R., K. M. Bedka, C. J. Schultz, A. L. Molthan, S. D. Bang, J. Glisan, T. Ford, W. S. Lincoln, L. A. Schultz, A. M. Melancon, E. F. Wisinski, K. Itterly, C. R. Homeyer, D. J. Cecil, C. Cogil, R. Donavon, E. Lenning, and R. Wolf,
: Satellite-Based Characterization of Convection and Impacts from the Catastrophic 10 August 2020 Midwest U.S. Derecho. Bull. Amer. Meteor. Soc., 103(4), E1172–E1196, doi:10.1175/BAMS-D-21-0023.1.
Benfica, N. S., A. da Silva Gomes, and F. B. Zanchi,
: Twenty years of net photosynthesis, climatic and anthropic factors from biomes of Bahia State, Brazil. Journal of South American Earth Sciences, 131, 104636, doi:10.1016/j.jsames.2023.104636.
Benfica, N. S., A. Da Silva Gomes, C. E. I. Drumond, F. B. Zanchi,
: The Relation Between Net Primary Productivity And Human Activities For Three Biomes In Bahia State, Brazil. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY, 15(4), 6-16, doi:10.24057/2071-9388-2022-021.
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.
Benkirane, M., N.-E. Laftouhie, S. Khabba, and Á. de La Hera-Portillo,
: Hydro Statistical Assessment of TRMM and GPM Precipitation Products against Ground Precipitation over a Mediterranean Mountainous Watershed (in the Moroccan High Atlas). Applied Sciences, 12(16), 8309, doi:10.3390/app12168309.
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.
Berthomier, L., and L. Perier,
: Espresso: A Global Deep Learning Model to Estimate Precipitation from Satellite Observations. Meteorology, 2(4), 421-444, doi:10.3390/meteorology2040025.
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.
Biswasharma, R., M. A. Domkawale, R. Ghosh, A. Gangane, N. Umakanth, S. Kumar, V. Gopalakrishnan, S. D. Pawar, E. DiGangi, S. M. Deshpande, D. Samanta, and S. Sharma,
: Assessment of the Indian Lightning Location Network (ILLN) using ground-based and satellite observations. Atmos. Res., 320, 108069, doi:10.1016/j.atmosres.2025.108069.
Blake, G., K. Michaelides, E. Kendon, M. Cuthbert, and M. B. Singer,
: The impact of convection-permitting model rainfall on the dryland water balance. Hydrology and Earth System Sciences, 29(23), 7093–7125, doi:10.5194/hess-29-7093-2025.
Blanco, M., E. Demaria, G. Cazenave, and E. Zimmerman,
: Validation and correction of satellite precipitation estimates using surface observations in the Argentinean Pampean region. Tecnología y ciencias del agua, 14(2), 110-168, doi:10.24850/j-tyca-14-02-04.
Bogerd, L., A. Overeem, H. Leijnse, and R. Uijlenhoet,
: A Comprehensive Five-Year Evaluation of IMERG Late Run Precipitation Estimates over the Netherlands. J. Hydrometeor., 22(7), 1855–1868, doi:10.1175/JHM-D-21-0002.1.