| Artificial neural network modeling of the rainfall‐runoff process K Hsu, HV Gupta, S Sorooshian Water resources research 31 (10), 2517-2530, 1995 | 2068 | 1995 |
| A review of global precipitation data sets: Data sources, estimation, and intercomparisons Q Sun, C Miao, Q Duan, H Ashouri, S Sorooshian, KL Hsu Reviews of Geophysics 56 (1), 79-107, 2018 | 1500 | 2018 |
| Evaluation of PERSIANN system satellite-based estimates of tropical rainfall S Sorooshian, KL Hsu, X Gao, HV Gupta, B Imam, D Braithwaite Bulletin of the American Meteorological Society 81 (9), 2035-2046, 2000 | 1430 | 2000 |
| PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies H Ashouri, KL Hsu, S Sorooshian, DK Braithwaite, KR Knapp, LD Cecil, ... Bulletin of the American Meteorological Society 96 (1), 69-83, 2015 | 1275 | 2015 |
| Precipitation estimation from remotely sensed information using artificial neural networks K Hsu, X Gao, S Sorooshian, HV Gupta Journal of Applied Meteorology and Climatology 36 (9), 1176-1190, 1997 | 1250 | 1997 |
| Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system Y Hong, KL Hsu, S Sorooshian, X Gao Journal of Applied Meteorology 43 (12), 1834-1853, 2004 | 949 | 2004 |
| NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG) GJ Huffman, DT Bolvin, D Braithwaite, K Hsu, R Joyce, P Xie, SH Yoo Algorithm theoretical basis document (ATBD) version 4 (26), 2020-05, 2015 | 903 | 2015 |
| Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter H Moradkhani, KL Hsu, H Gupta, S Sorooshian Water resources research 41 (5), 2005 | 808 | 2005 |
| Component analysis of errors in satellite‐based precipitation estimates Y Tian, CD Peters‐Lidard, JB Eylander, RJ Joyce, GJ Huffman, RF Adler, ... Journal of Geophysical Research: Atmospheres 114 (D24), 2009 | 414 | 2009 |
| Hydrologic evaluation of satellite precipitation products over a mid-size basin A Behrangi, B Khakbaz, TC Jaw, A AghaKouchak, K Hsu, S Sorooshian Journal of Hydrology 397 (3-4), 225-237, 2011 | 403 | 2011 |
| Integrated multi-satellite retrievals for the global precipitation measurement (GPM) mission (IMERG) GJ Huffman, DT Bolvin, D Braithwaite, KL Hsu, RJ Joyce, C Kidd, ... Satellite precipitation measurement: Volume 1, 343-353, 2020 | 379 | 2020 |
| Evaluation of satellite‐retrieved extreme precipitation rates across the central United States A AghaKouchak, A Behrangi, S Sorooshian, K Hsu, E Amitai Journal of Geophysical Research: Atmospheres 116 (D2), 2011 | 352 | 2011 |
| Self‐organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis K Hsu, HV Gupta, X Gao, S Sorooshian, B Imam Water Resources Research 38 (12), 38-1-38-17, 2002 | 304 | 2002 |
| Evaluation of the PERSIANN-CDR daily rainfall estimates in capturing the behavior of extreme precipitation events over China C Miao, H Ashouri, KL Hsu, S Sorooshian, Q Duan Journal of Hydrometeorology 16 (3), 1387-1396, 2015 | 297 | 2015 |
| Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting KK Yilmaz, TS Hogue, K Hsu, S Sorooshian, HV Gupta, T Wagener Journal of Hydrometeorology 6 (4), 497-517, 2005 | 291 | 2005 |
| The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low-and mid-latitudes A Dai, X Lin, KL Hsu Climate dynamics 29, 727-744, 2007 | 280 | 2007 |
| Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response Y Hong, K Hsu, H Moradkhani, S Sorooshian Water resources research 42 (8), 2006 | 264 | 2006 |
| Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network Y Hong, D Gochis, J Cheng, K Hsu, S Sorooshian Journal of Hydrometeorology 8 (3), 469-482, 2007 | 263 | 2007 |
| NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG). Algorithm Theoretical Basis Document (ATBD) Version 06 GJ Huffman, DT Bolvin, D Braithwaite, K Hsu, R Joyce, C Kidd, EJ Nelkin, ... NASA/GSFC 30, 2019 | 261 | 2019 |
| Algorithm theoretical basis document (ATBD) version 06 NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG) GJ Huffman, DT Bolvin, D Braithwaite, K Hsu, R Joyce, C Kidd, EJ Nelkin, ... National Aeronautics and Space Administration (NASA), 1-34, 2019 | 257 | 2019 |
