GPM Refereed Publications
de Witt, C. S., C. Tong, V. Zantedeschi, D. De Martini, A. Kalaitzis, M. Chantry, D. Watson-Parris, and P. Bilinski,
: RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 35, 14902-14910, doi:.
De, A., N. Sahani, A. Datta, and A. Maitra,
: Spatiotemporal analysis of different vegetation indices and relation to meteorological parameters over a tropical urban location and its surroundings. Atmósfera, 38, , doi:10.20937/ATM.53297.
Degefu, M. A., and W. Bewket,
: Performance variations of global precipitation products in detecting drought episodes in three wet seasons in Ethiopia: Part II—statistical analysis. Meteorological Applications, 30(5), e2154, doi:10.1002/met.2154.
Degefu, M. A., and W. Bewket,
: Drought monitoring performance of global precipitation products in three wet seasons in Ethiopia: Part I—Quasi-objective examination. Meteorological Applications, 30(4), e2143, doi:10.1002/met.2143.
Degefu, M. A., W. Bewket, and Y. Amha,
: Evaluating performance of 20 global and quasi-global precipitation products in representing drought events in Ethiopia I: Visual and correlation analysis. Weather and Climate Extremes, 35, 100416, doi:10.1016/j.wace.2022.100416.
Delahaye, F., P. E. Kirstetter, V. Dubreuil, L. A. T. Machado and D. A. Vila,
: A consistent gauge database for daily rainfall analysis over the Legal Brazilian Amazon. J. Hydrology, 527, 292-304, doi:10.1002/qj.2416.
Delfino, R. J., G. Bagtasa, K. Hodges, and P. L. Vidale,
: Sensitivity of simulating Typhoon Haiyan (2013) using WRF: the role of cumulus convection, surface flux parameterizations, spectral nudging, and initial and boundary conditions. Natural Hazards and Earth System Sciences, 22(10), 3285–3307, doi:10.5194/nhess-22-3285-2022.
Delgado, D., M. Sadaoui, W. Ludwig, and W. Méndez,
: Spatio-temporal assessment of rainfall erosivity in Ecuador based on RUSLE using satellite-based high frequency GPM-IMERG precipitation data. CATENA, 219, 106597, doi:10.1016/j.catena.2022.106597.
Delgado-Baquerizo, M., D. J. Eldridge, Y. Feng, J. Zhang, and E. Guirado,
: Highly protected areas buffer against aridity thresholds in global drylands. Nature Plants, 11(10), 2041–2049, doi:10.1038/s41477-025-02099-2.
Della Libera, M. E., V. F. Novello, F. W. Cruz, R. Orrison, M. Vuille, S. Y. Maezumi, J. de Souza, J. Cauhy, J. L. P. S. Campos, A. Ampuero, G. Utida, N. M. Stríkis, C. F. Stumpf, V. Azevedo, H.Zhang, R. L. Edwards, and H. Cheng,
: Paleoclimatic and paleoenvironmental changes in Amazonian lowlands over the last three millennia. Quaternary Science Reviews, 279, 107383, doi:10.1016/j.quascirev.2022.107383.
Dellaripa, E. M. R., E. D. Maloney, and C. A. DeMott,
: The Diurnal Cycle of East Pacific Convection, Moisture, and CYGNSS Wind Speed and Fluxes. JGR Atmospheres, 128(8), e2022JD038133, doi:10.1029/2022JD038133.
Delmotte, A., D. Juncu, X. Ceamanos, I. F. Trigo, and S. Gomes,
: Upgrade and extension of LSA-SAF land surface albedo archive from EPS Metop/AVHRR: description and quality assessment. European Journal of Remote Sensing, 57(1), 2300043, doi:10.1080/22797254.2023.2300043.
Delsouc, A., M. Barber, A. Gallaud, F. Grings, P. Vidal-Páez, W. Pérez-Martínez, and I. Briceño-De-Urbaneja,
: Seasonality Analysis of Sentinel-1 and ALOS-2/PALSAR-2 Backscattered Power over Salar de Aguas Calientes Sur, Chile. Rem. Sens., 12(6), 941, doi:10.3390/rs12060941.
Demir, C., J. W. McClelland, E. Bristol, M. A. Charette, and M. B. Cardenas,
: Coastal Supra-Permafrost Aquifers of the Arctic and Their Significant Groundwater, Carbon, and Nitrogen Fluxes. Geophys. Res. Letts., 51(22), e2024GL109142, doi:10.1029/2024GL109142.
Demir, I., H. Conover, W. F. Krajewski, B.-C. Seo, R. Goska, Y. He, M. F. McEniry, S. J. Graves, and W. A. Petersen,
: Data-Enabled Field Experiment Planning, Management, and Research Using Cyberinfrastructure. J. Hydrometeor., 16, 1155-1170, doi:10.1175/JHM-D-14-0163.1.
Deng, L., X. Zhang, L. J. Slater, H. Liu, and S. Tao,
: Integrating Euclidean and non-Euclidean spatial information for deep learning-based spatiotemporal hydrological simulation. J. Hydrology, 638, 131438, doi:10.1016/j.jhydrol.2024.131438.
Deng, Y., X. Wang, H. Ruan, J. Lin, X. Chen, Y. Chen, W. Duan, and H. Deng,
: The magnitude and frequency of detected precipitation determine the accuracy performance of precipitation data sets in the high mountains of Asia. Scientific Reports, 14(1), 17251, doi:10.1038/s41598-024-67665-8.
Derin Y., and P. E. Kirstetter,
: Evaluation of IMERG Over CONUS Complex Terrain Using Environmental Variables. Geophys. Res. Lett., 49(19), e2022GL100186, doi:10.1029/2022GL100186.
Derin Y., E. Anagnostou, A. Berne, M. Borga, B. Boudevillain, W. Buytaert, C-H. Chang, G. Delrieu, Y. Hong, Y. C. Hsu, W. Lavado-Casimiro, B. Manz, S. Moges, E. I. Nikolopoulos, D. Sahlu, F. Salerno, J.-P. Rodríguez-Sánchez, H. J. Vergara, and K. K. Yilmaz,
: Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions. Rem. Sens., 11(24), 2936, doi:10.3390/rs11242936.
Derin Y., E. Anagnostou, E. Bhuiyan, J. Kalogiros, M. Anagnostou,
: Modeling Level 2 Passive Microwave Precipitation Retrieval Error Over Complex Terrain Using a Nonparametric Statistical Technique. IEEE Transactions on Geoscience and Remote Sensing, 59(11), 9021 - 9032, doi:10.1109/TGRS.2020.3038343.