GPM Refereed Publications
Alexander, L. V., H. J. Fowler, M. Bador, A. Behrangi, M. G. Donat, R. Dunn, C. Funk et. al.,
: On the use of indices to study extreme precipitation on sub-daily and daily timescalesa. Environmental Research Letters, 14(12), , doi:10.1088/1748-9326/ab51b6.
Alfieri, L., and co-authors,
: A global network for operational flood risk reduction. Environmental Science & Policy, 84, 149-158, doi:10.1016/j.envsci.2018.03.014.
Alharbi, B. S.,
: Role of remote-sensing techniques in unveiling the spatiotemporal response of vegetation to climate change in the western Makkah Province of Saudi Arabia. Environmental Challenges, 15, 100926, doi:10.1016/j.envc.2024.100926.
Ali, N., J. Chen, X. Fu, R. Ali, M. A. Hussain, H. Daud, J. Hussain, and A. Altalbe,
: Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan. Rem. Sens., 16(6), 988, doi:10.3390/rs16060988.
Alquaied, F., R. Chen, W. Linwood Jones ,
: Hot Load Temperature Correction for TRMM Microwave Imager in the Legacy Brightness Temperature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(6), 1923-1931, doi:10.1109/JSTARS.2018.2837099.
Alsenjar, O., and M. Çetin,
: Evaluation of GPM-IMERG V07 Precipitation Data Against In-Situ Measurements in a Semi-Arid Region of Türkiye. Jeoloji Mühendisliği Dergisi., 42(3), 1-12, doi:10.24232/jmd.1708249.
Altamirano, J. P., H. Kurokura, C. P. Recente, H. Fushimi, and S. Ishikawa,
: Storm-induced stress and mortality of juvenile black tiger shrimp Penaeus monodon during intermediate culture for stock enhancement. Aquaculture International, 33, 707, doi:10.1007/s10499-025-02389-8.
Alvey III, G., E. Zipser, and J. Zawislak,
: How Does Hurricane Edouard (2014) Evolve toward Symmetry before Rapid Intensification? A High-Resolution Ensemble Study. J. Atmos. Sci., 77(4), 1329–1351 , doi:10.1175/JAS-D-18-0355.1.
Amell, A., L. Hee, S. Pfreundschuh, and P. Eriksson,
: Probabilistic Near-Real-Time Retrievals of Rain Over Africa Using Deep Learning. JGR Atmospheres, 130(20), e2025JD044595, doi:10.1029/2025JD044595.
Amell, A., S. Pfreundschuh, and P. Eriksson,
: The Chalmers Cloud Ice Climatology: retrieval implementation and validation. Atmos. Meas. Tech., 17(14), 4337–4368, doi:10.5194/amt-17-4337-2024.
Amiot, C. G., S. K. Biswas, T. J. Lang, and D. I. Duncan,
: Dual-Polarization Deconvolution and Geophysical Retrievals from the Advanced Microwave Precipitation Radiometer during OLYMPEX/RADEX. J. Atmos. Ocean. Technol., 38(3), 607–628, doi:10.1175/JTECH-D-19-0218.1.
Amiot, C. G., T. J. Lang, S. C. van den Heever, R. A. Ferrare, O. O. Sy, L. D. Carey, S. A. Christopher, J. R. Mecikalski, S. W. Freeman, G. A. Sokolowsky, C. A. Hostetler, and S. Tanelli,
: Observed impacts of aerosol concentration on maritime tropical convection within constrained environments using airborne radiometer, radar, lidar, and dropsondes. Atmos. Chem. Phys., , , doi:10.5194/egusphere-2024-2384.
Amiri, A., I. Ebtehaj, K. Soltani, S. J. Gumiere, and H. Bonakdari,
: Future soil erosion trends in Canadian agricultural lands from runoff and sustainability impacts. Scientific Reports, 15, 23184, doi:10.1038/s41598-025-05947-5.
Amjad, M., M. T. Yilmaz, I. Yucel, and K. K. Yilmaz,
: Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography. J. Hydrology, 584, 124707, doi:10.1016/j.jhydrol.2020.124707.
Amnuaylojaroen, T.,
: High-resolution precipitation downscaling in mainland Southeast Asia: A novel integration of BMA and U-Net CNN. Environmental Modelling & Software, 194, 106682, doi:10.1016/j.envsoft.2025.106682 .
Anand, A., A. S. Dinesh, P. K. Srivastava, S. K. Chaudhary, A. K. Varma, and P. Kumar,
: Rainfall rate estimation over India using global precipitation measurement’s microwave imager datasets and different variants of fuzzy information system. Geocarto International, 37(21), 6213-6231, doi:10.1080/10106049.2021.1936208.
Anas Ali, S. M., and N. F. Tandon,
: Influence of Horizontal Model Resolution on the Horizontal Scale of Extreme Precipitation Events. JGR Atmospheres, 129(22), e2023JD040146, doi:10.1029/2023JD040146.
Andari, R., Nurhamidah, D. Daoed, and Marzuki,
: Validation of TRMM and GPM Satellite Data Using Daily Precipitation Observations. Int. J. Adv. Sci. Eng. Inf. Technol., 14(2), 555–562, doi:10.18517/ijaseit.14.2.18980.
Andrade, J. M., A. R. Neto, R. L.B. Nóbrega, M. A. Rico-Ramirez, and S. M.G.L. Montenegro,
: Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling. J. Hydrology, 633, 131016, doi:10.1016/j.jhydrol.2024.131016.
Andreadis, K. M, N. N. Das, D. Stampoulis, A. Ines, J. B. Fisher, S. L. Granger, J. Kawata, E. Han, A. Behrangi,
: The Regional Hydrologic Extremes Assessment System: A software framework for hydrologic modeling and data assimilation. PLOS ONE, , , doi:10.1371/journal.pone.0176506.