Year |
Citation |
Score |
2018 |
Tao Y, Hsu K, Ihler A, Gao X, Sorooshian S. A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information Journal of Hydrometeorology. 19: 393-408. DOI: 10.1175/Jhm-D-17-0077.1 |
0.413 |
|
2017 |
Nguyen P, Thorstensen A, Sorooshian S, Zhu Q, Tran H, Ashouri H, Miao C, Hsu K, Gao X. Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR Journal of Hydrometeorology. 18: 2313-2330. DOI: 10.1175/Jhm-D-16-0201.1 |
0.467 |
|
2017 |
Tao Y, Gao X, Ihler A, Sorooshian S, Hsu K. Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches Journal of Hydrometeorology. 18: 1271-1283. DOI: 10.1175/Jhm-D-16-0176.1 |
0.434 |
|
2017 |
Yang T, Asanjan AA, Welles E, Gao X, Sorooshian S, Liu X. Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information Water Resources Research. 53: 2786-2812. DOI: 10.1002/2017Wr020482 |
0.426 |
|
2016 |
Tao Y, Gao X, Hsu K, Sorooshian S, Ihler A. A deep neural network modeling framework to reduce bias in satellite precipitation products Journal of Hydrometeorology. 17: 931-945. DOI: 10.1175/Jhm-D-15-0075.1 |
0.441 |
|
2016 |
Yang T, Gao X, Sorooshian S, Li X. Simulating California reservoir operation using the classification and regression-tree algorithm combined with a shuffled cross-validation scheme Water Resources Research. 52: 1626-1651. DOI: 10.1002/2015Wr017394 |
0.372 |
|
2015 |
Liu H, Sorooshian S, Gao X. Assessment of the spatial and seasonal variation of the error-intensity relationship in satellite-based precipitation measurements using an adaptive parametric model Journal of Hydrometeorology. 16: 1700-1716. DOI: 10.1175/Jhm-D-14-0219.1 |
0.48 |
|
2015 |
Yang T, Gao X, Sellars SL, Sorooshian S. Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex Environmental Modelling and Software. 69: 262-279. DOI: 10.1016/J.Envsoft.2014.11.016 |
0.317 |
|
2014 |
Chu W, Yang T, Gao X. Comment on “High-dimensional posterior exploration of hydrologic models using multiple-try DREAM (ZS) and high-performance computing” by Eric Laloy and Jasper A. Vrugt Water Resources Research. 50: 2775-2780. DOI: 10.1002/2012Wr013341 |
0.341 |
|
2013 |
Sellars S, Nguyen P, Chu W, Gao X, Hsu K, Sorooshian S. Computational Earth Science: Big Data Transformed Into Insight Eos, Transactions American Geophysical Union. 94: 277-278. DOI: 10.1002/2013Eo320001 |
0.408 |
|
2012 |
Nasrollahi N, Aghakouchak A, Li J, Gao X, Hsu K, Sorooshian S. Assessing the impacts of different WRF precipitation physics in hurricane simulations Weather and Forecasting. 27: 1003-1016. DOI: 10.1175/Waf-D-10-05000.1 |
0.422 |
|
2012 |
Hsu K, Sorooshian S, Gao X, Braithwaite D, AghaKouchak A. Monitoring global precipitation using satellites Spie Newsroom. DOI: 10.1117/2.1201210.004475 |
0.381 |
|
2012 |
Xia Q, Gao X, Chu W, Sorooshian S. Estimation of daily cloud-free, snow-covered areas from MODIS based on variational interpolation Water Resources Research. 48. DOI: 10.1029/2011Wr011072 |
0.386 |
|
2012 |
Sorooshian S, Li J, Hsu KL, Gao X. Influence of irrigation schemes used in regional climate models on evapotranspiration estimation: Results and comparative studies from California's Central Valley agricultural regions Journal of Geophysical Research Atmospheres. 117. DOI: 10.1029/2011Jd016978 |
0.425 |
|
2011 |
Sorooshian S, Li J, Hsu KL, Gao X. How significant is the impact of irrigation on the local hydroclimate in Californias Central Valley? Comparison of model results with ground and remote-sensing data Journal of Geophysical Research Atmospheres. 116. DOI: 10.1029/2010Jd014775 |
0.477 |
|
2011 |
Chu W, Gao X, Phillips TJ, Sorooshian S. Consistency of spatial patterns of the daily precipitation field in the western United States and its application to precipitation disaggregation Geophysical Research Letters. 38. DOI: 10.1029/2010Gl046473 |
0.425 |
|
2010 |
Chu W, Gao X, Sorooshian S. Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil-moisture accounting model Water Resources Research. 46. DOI: 10.1029/2010Wr009224 |
0.374 |
|
2008 |
Li J, Gao X, Sorooshian S. Model performance of downscaling 1999-2004 hydrometeorological fields to the upper Rio Grande basin using different forcing datasets Journal of Hydrometeorology. 9: 677-694. DOI: 10.1175/2008Jhm912.1 |
0.459 |
|
2008 |
Li J, Sorooshian S, Higgins W, Gao X, Imam B, Hsu K. Influence of Spatial Resolution on Diurnal Variability during the North American Monsoon Journal of Climate. 21: 3967-3988. DOI: 10.1175/2008Jcli2022.1 |
0.467 |
|
2008 |
Park GH, Gao X, Sorooshian S. Estimation of surface longwave radiation components from ground-based historical net radiation and weather data Journal of Geophysical Research Atmospheres. 113. DOI: 10.1029/2007Jd008903 |
0.33 |
|
2007 |
Yuan H, Mullen SL, Gao X, Sorooshian S, Du J, Juang HMH. Short-range probabilistic quantitative precipitation forecasts over the southwest United States by the RSM ensemble system Monthly Weather Review. 135: 1685-1698. DOI: 10.1175/Mwr3373.1 |
0.436 |
|
2007 |
Li J, Gao X, Sorooshian S. Modeling and analysis of the variability of the water cycle in the upper Rio Grande basin at high resolution Journal of Hydrometeorology. 8: 805-824. DOI: 10.1175/Jhm602.1 |
0.513 |
|
2007 |
Gao X, Li J, Sorooshian S. Modeling intraseasonal features of 2004 North American monsoon precipitation Journal of Climate. 20: 1882-1896. DOI: 10.1175/Jcli4100.1 |
0.49 |
|
2007 |
Yuan H, Gao X, Mullen SL, Sorooshian S, Du J, Juang HMH. Calibration of probabilistic quantitative precipitation forecasts with an artificial neural network Weather and Forecasting. 22: 1287-1303. DOI: 10.1175/2007Waf2006114.1 |
0.419 |
|
2007 |
Duan Q, Ajami NK, Gao X, Sorooshian S. Multi-model ensemble hydrologic prediction using Bayesian model averaging Advances in Water Resources. 30: 1371-1386. DOI: 10.1016/J.Advwatres.2006.11.014 |
0.345 |
|
2006 |
Ajami NK, Duan Q, Gao X, Sorooshian S. Multimodel combination techniques for analysis of hydrological simulations: Application to distributed model intercomparison project results Journal of Hydrometeorology. 7: 755-768. DOI: 10.1175/Jhm519.1 |
0.377 |
|
2006 |
Xu J, Xiao Q, Gao X, Sorooshian S. Influence of assimilating rainfall derived from WSR-88D radar on the rainstorm forecasts over the southwestern United States Journal of Geophysical Research Atmospheres. 111. DOI: 10.1029/2005Jd006650 |
0.47 |
|
2006 |
Morin E, Goodrich DC, Maddox RA, Gao X, Gupta HV, Sorooshian S. Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response Advances in Water Resources. 29: 843-860. DOI: 10.1016/J.Advwatres.2005.07.014 |
0.401 |
|
2006 |
Jin J, Miller NL, Sorooshian S, Gao X. Relationship between atmospheric circulation and snowpack in the western USA Hydrological Processes. 20: 753-767. DOI: 10.1002/Hyp.6126 |
0.392 |
|
2005 |
Li J, Gao X, Maddox RA, Sorooshian S. Sensitivity of North American Monsoon Rainfall to Multisource Sea Surface Temperatures in MM5 Monthly Weather Review. 133: 2922-2939. DOI: 10.1175/Mwr3011.1 |
0.451 |
|
2005 |
Yuan H, Mullen SL, Gao X, Sorooshian S, Du J, Juang HMH. Verification of probabilistic quantitative precipitation forecasts over the southwest United States during winter 2002/03 by the RSM ensemble system Monthly Weather Review. 133: 279-294. DOI: 10.1175/Mwr-2858.1 |
0.446 |
|
2005 |
Hong Y, Hsu KL, Sorooshian S, Gao X. Self-organizing nonlinear output (SONO): A neural network suitable for cloud patch-based rainfall estimation at small scales Water Resources Research. 41: 1-15. DOI: 10.1029/2004Wr003142 |
0.451 |
|
2005 |
Hong Y, Hsu KL, Sorooshian S, Gao X. Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system Journal of Geophysical Research D: Atmospheres. 110: 1-13. DOI: 10.1029/2004Jd005301 |
0.459 |
|
2005 |
Morin E, Goodrich DC, Maddox RA, Gao X, Gupta HV, Sorooshian S. Rainfall modeling for integrating radar information into hydrological model Atmospheric Science Letters. 6: 23-30. DOI: 10.1002/Asl.86 |
0.452 |
|
2004 |
Xu JJ, Gao XG, Sorooshian S. Model study of soil-moisture influence on precipitation seesaw in the southern United States Tellus, Series a: Dynamic Meteorology and Oceanography. 56: 514-519. DOI: 10.3402/Tellusa.V56I5.14437 |
0.364 |
|
2004 |
Xu J, Shuttleworth WJ, Gao X, Sorooshian S, Small EE. Soil moisture-precipitation feedback on the North American monsoon system in the MM5-OSU model Quarterly Journal of the Royal Meteorological Society. 130: 2873-2890. DOI: 10.1256/Qj.03.192 |
0.414 |
|
2004 |
Hong Y, Hsu KL, Sorooshian S, Gao X. Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system Journal of Applied Meteorology. 43: 1834-1852. DOI: 10.1175/Jam2173.1 |
0.428 |
|
2004 |
Xu J, Gao X, Shuttleworth J, Sorooshian S, Small E. Model Climatology of the North American Monsoon Onset Period during 1980–2001 Journal of Climate. 17: 3892-3906. DOI: 10.1175/1520-0442(2004)017<3892:Mcotna>2.0.Co;2 |
0.415 |
|
2004 |
Xu J, Gao X, Xiao Q, Sorooshian S. Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States Geophysical Research Letters. 31. DOI: 10.1029/2004Gl020120 |
0.394 |
|
2003 |
Morin E, Krajewski WF, Goodrich DC, Gao X, Sorooshian S. Estimating Rainfall Intensities from Weather Radar Data: The Scale-Dependency Problem Journal of Hydrometeorology. 4: 782-797. DOI: 10.1175/1525-7541(2003)004<0782:Erifwr>2.0.Co;2 |
0.403 |
|
2003 |
Yucel I, Shuttleworth WJ, Gao X, Sorooshian S. Short-term performance of MM5 with cloud-cover assimilation from satellite observations Monthly Weather Review. 131: 1797-1810. DOI: 10.1175//2565.1 |
0.463 |
|
2003 |
Gao X, Sorooshian S, Li J, Xu J. SST data improve modeling of north american monsoon rainfall Eos. 84. DOI: 10.1029/2003Eo430001 |
0.442 |
|
2002 |
Gupta H, Sorooshian S, Gao X, Imam B, Hsu KL, Bastidas L, Li J, Mahani S. The challenge of predicting flash floods from thunderstorm rainfall. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 360: 1363-71. PMID 12804254 DOI: 10.1098/Rsta.2002.1015 |
0.469 |
|
2002 |
Hsu K, Gupta HV, Gao X, Sorooshian S, Imam B. Self-organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis Water Resources Research. 38: 38-1-38-17. DOI: 10.1029/2001Wr000795 |
0.371 |
|
2000 |
Sorooshian S, Hsu K, Gao X, Gupta HV, Imam B, Braithwaite D. Evaluation of PERSIANN System Satellite–Based Estimates of Tropical Rainfall Bulletin of the American Meteorological Society. 81: 2035-2046. DOI: 10.1175/1520-0477(2000)081<2035:Eopsse>2.3.Co;2 |
0.41 |
|
2000 |
Xu L, Gao X, Sorooshian S, Imam B. Parameter estimation of GOES precipitation index at different calibration timescales Journal of Geophysical Research: Atmospheres. 105: 20131-20143. DOI: 10.1029/2000Jd900178 |
0.379 |
|
2000 |
Mahani SE, Gao X, Sorooshian S, Imam B. Estimating cloud top height and spatial displacement from scan-synchronous GOES images using simplified IR-based stereoscopic analysis Journal of Geophysical Research: Atmospheres. 105: 15597-15608. DOI: 10.1029/2000Jd900064 |
0.421 |
|
1999 |
Xu L, Sorooshian S, Gao X, Gupta HV. A cloud-patch technique for identification and removal of no-rain clouds from satellite infrared imagery Journal of Applied Meteorology. 38: 1170-1181. DOI: 10.1175/1520-0450(1999)038<1170:Acptfi>2.0.Co;2 |
0.402 |
|
1999 |
Xu L, Gao X, Sorooshian S, Arkin PA, Imam B. A Microwave Infrared Threshold Technique to Improve the GOES Precipitation Index Journal of Applied Meteorology. 38: 569-579. DOI: 10.1175/1520-0450(1999)038<0569:Amittt>2.0.Co;2 |
0.402 |
|
1999 |
Hsu KL, Gupta HV, Gao X, Sorooshian S. Estimation of physical variables from multichannel remotely sensed imagery using a neural network: Application to rainfall estimation Water Resources Research. 35: 1605-1618. DOI: 10.1029/1999Wr900032 |
0.404 |
|
1999 |
Hwu W, Sorooshian S, Gao X, Famiglietti JS. Intercomparisons of ECMWF ERA and TOGA data with observations for the 1993 Great Flood Journal of Geophysical Research Atmospheres. 104: 19367-19382. DOI: 10.1029/1999Jd900122 |
0.496 |
|
1999 |
Hu Y, Gao X, Shuttleworth WJ, Gupta H, Mahfouf JF, Viterbo P. Soil-moisture nudging experiments with a single-column version of the ECMWF model Quarterly Journal of the Royal Meteorological Society. 125: 1879-1902. DOI: 10.1002/Qj.49712555719 |
0.379 |
|
1999 |
Jin J, Gao X, Sorooshian S, Yang Z, Bales R, Dickinson RE, Sun S, Wu G. One-dimensional snow water and energy balance model for vegetated surfaces Hydrological Processes. 13: 2467-2482. DOI: 10.1002/(Sici)1099-1085(199910)13:14/15<2467::Aid-Hyp861>3.0.Co;2-J |
0.41 |
|
1999 |
Yang Z, Dickinson RE, Hahmann AN, Niu G, Shaikh M, Gao X, Bales RC, Sorooshian S, Jin J. Simulation of snow mass and extent in general circulation models Hydrological Processes. 13: 2097-2113. DOI: 10.1002/(Sici)1099-1085(199909)13:12/13<2097::Aid-Hyp895>3.0.Co;2-W |
0.458 |
|
1997 |
Hsu KL, Gao X, Sorooshian S, Gupta HV. Precipitation estimation from remotely sensed information using artificial neural networks Journal of Applied Meteorology. 36: 1176-1190. DOI: 10.1175/1520-0450(1997)036<1176:Pefrsi>2.0.Co;2 |
0.451 |
|
1996 |
Gao X, Sorooshian S, Gupta HV. Sensitivity analysis of the biosphere-atmosphere transfer scheme Journal of Geophysical Research Atmospheres. 101: 7279-7289. DOI: 10.1029/95Jd03161 |
0.455 |
|
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