| Year |
Citation |
Score |
| 2022 |
Shearer EJ, Gorooh VA, Nguyen P, Hsu KL, Sorooshian S. Author Correction: Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements. Scientific Reports. 12: 16627. PMID 36198862 DOI: 10.1038/s41598-022-21626-1 |
0.652 |
|
| 2022 |
Shearer EJ, Afzali Gorooh V, Nguyen P, Hsu KL, Sorooshian S. Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements. Scientific Reports. 12: 13569. PMID 35945251 DOI: 10.1038/s41598-022-17640-y |
0.713 |
|
| 2020 |
Foufoula-Georgiou E, Guilloteau C, Nguyen P, Aghakouchak A, Hsu KL, Busalacchi A, Turk FJ, Peters-Lidard C, Oki T, Duan Q, Krajewski W, Uijlenhoet R, Barros A, Kirstetter P, Logan W, et al. Advancing Precipitation Estimation, Prediction, and Impact Studies. Bulletin of the American Meteorological Society. 101: E1584-E1592. PMID 34045766 DOI: 10.1175/bams-d-20-0014.1 |
0.709 |
|
| 2020 |
Naeini MR, Yang T, Tavakoly A, Analui B, AghaKouchak A, Hsu K, Sorooshian S. A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing Water. 12: 2373. DOI: 10.3390/W12092373 |
0.569 |
|
| 2020 |
Katiraie-Boroujerdy P, Naeini MR, Asanjan AA, Chavoshian A, Hsu K, Sorooshian S. Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran Remote Sensing. 12: 2102. DOI: 10.3390/Rs12132102 |
0.677 |
|
| 2020 |
Afzali Gorooh V, Kalia S, Nguyen P, Hsu K, Sorooshian S, Ganguly S, Nemani R. Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS Remote Sensing. 12: 316. DOI: 10.3390/Rs12020316 |
0.739 |
|
| 2020 |
Foufoula-Georgiou E, Guilloteau C, Nguyen P, Aghakouchak A, Hsu K, Busalacchi A, Turk FJ, Peters-Lidard C, Oki T, Duan Q, Krajewski W, Uijlenhoet R, Barros A, Kirstetter P, Logan W, et al. Advancing Precipitation Estimation, Prediction and Impact Studies Bulletin of the American Meteorological Society. 1-22. DOI: 10.1175/Bams-D-20-0014.1 |
0.728 |
|
| 2020 |
Nguyen P, Shearer EJ, Ombadi M, Gorooh VA, Hsu K, Sorooshian S, Logan WS, Ralph M. PERSIANN Dynamic Infrared–Rain Rate Model (PDIR) for High-Resolution, Real-Time Satellite Precipitation Estimation Bulletin of the American Meteorological Society. 101. DOI: 10.1175/Bams-D-19-0118.1 |
0.679 |
|
| 2020 |
Sadeghi M, Nguyen P, Hsu K, Sorooshian S. Improving Near Real-time Precipitation Estimation Using a U-Net Convolutional Neural Network and Geographical Information Environmental Modelling and Software. 134: 104856. DOI: 10.1016/J.Envsoft.2020.104856 |
0.705 |
|
| 2019 |
Tran H, Nguyen P, Ombadi M, Hsu KL, Sorooshian S, Qing X. A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017. Scientific Data. 6: 180300. PMID 30644853 DOI: 10.1038/Sdata.2018.300 |
0.688 |
|
| 2019 |
Miao Q, Pan B, Wang H, Hsu K, Sorooshian S. Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network Water. 11: 977. DOI: 10.3390/W11050977 |
0.652 |
|
| 2019 |
Sadeghi M, Asanjan AA, Faridzad M, Gorooh VA, Nguyen P, Hsu K, Sorooshian S, Braithwaite D. Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale Remote Sensing. 11: 2755-2755. DOI: 10.3390/Rs11232755 |
0.721 |
|
| 2019 |
Hayatbini N, Kong B, Hsu K, Nguyen P, Sorooshian S, Stephens G, Fowlkes C, Nemani R. Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN Remote Sensing. 11: 2193. DOI: 10.3390/Rs11192193 |
0.731 |
|
| 2019 |
Sadeghi M, Asanjan AA, Faridzad M, Nguyen P, Hsu K, Sorooshian S, Braithwaite D. PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks Journal of Hydrometeorology. 20: 2273-2289. DOI: 10.1175/Jhm-D-19-0110.1 |
0.711 |
|
| 2019 |
Pan B, Hsu K, AghaKouchak A, Sorooshian S. Improving Precipitation Estimation Using Convolutional Neural Network Water Resources Research. 55: 2301-2321. DOI: 10.1029/2018Wr024090 |
0.652 |
|
| 2019 |
Katiraie‐Boroujerdy P, Asanjan AA, Chavoshian A, Hsu K, Sorooshian S. Assessment of seven CMIP5 model precipitation extremes over Iran based on a satellite‐based climate data set International Journal of Climatology. 39: 3505-3522. DOI: 10.1002/Joc.6035 |
0.605 |
|
| 2018 |
Shen C, Laloy E, Albert A, Chang F, Elshorbagy A, Ganguly S, Hsu K, Kifer D, Fang Z, Fang K, Li D, Li X, Tsai W. HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences Hydrology and Earth System Sciences Discussions. 1-21. DOI: 10.5194/Hess-2018-168 |
0.303 |
|
| 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 |
0.643 |
|
| 2018 |
Pan B, Hsu K, AghaKouchak A, Sorooshian S, Higgins W. Precipitation Prediction Skill for the West Coast United States: From Short to Extended Range Journal of Climate. 32: 161-182. DOI: 10.1175/Jcli-D-18-0355.1 |
0.594 |
|
| 2018 |
Nguyen P, Thorstensen A, Sorooshian S, Hsu K, Aghakouchak A, Ashouri H, Tran H, Braithwaite D. Global Precipitation Trends across Spatial Scales Using Satellite Observations Bulletin of the American Meteorological Society. 99: 689-697. DOI: 10.1175/Bams-D-17-0065.1 |
0.71 |
|
| 2018 |
Ombadi M, Nguyen P, Sorooshian S, Hsu K. Developing Intensity‐Duration‐Frequency (IDF) Curves From Satellite‐Based Precipitation: Methodology and Evaluation Water Resources Research. 54: 7752-7766. DOI: 10.1029/2018Wr022929 |
0.755 |
|
| 2018 |
Akbari Asanjan A, Yang T, Hsu K, Sorooshian S, Lin J, Peng Q. Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks Journal of Geophysical Research: Atmospheres. 123. DOI: 10.1029/2018Jd028375 |
0.63 |
|
| 2018 |
Faridzad M, Yang T, Hsu K, Sorooshian S, Xiao C. Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information Journal of Hydrology. 563: 123-142. DOI: 10.1016/J.Jhydrol.2018.05.071 |
0.646 |
|
| 2018 |
Rahnamay Naeini M, Yang T, Sadegh M, AghaKouchak A, Hsu K, Sorooshian S, Duan Q, Lei X. Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework Environmental Modelling & Software. 104: 215-235. DOI: 10.1016/J.Envsoft.2018.03.019 |
0.493 |
|
| 2018 |
Alharbi R, Hsu K, Sorooshian S. Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia Arabian Journal of Geosciences. 11. DOI: 10.1007/S12517-018-3860-4 |
0.648 |
|
| 2018 |
Kirstetter P, Karbalaee N, Hsu K, Hong Y. Probabilistic precipitation rate estimates with space‐based infrared sensors Quarterly Journal of the Royal Meteorological Society. 144: 191-205. DOI: 10.1002/Qj.3243 |
0.462 |
|
| 2018 |
Sun Q, Miao C, Duan Q, Ashouri H, Sorooshian S, Hsu K. A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons Reviews of Geophysics. 56: 79-107. DOI: 10.1002/2017Rg000574 |
0.647 |
|
| 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 |
0.742 |
|
| 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 |
0.634 |
|
| 2017 |
Nguyen P, Sorooshian S, Thorstensen A, Tran H, Huynh P, Pham T, Ashouri H, Hsu K, AghaKouchak A, Braithwaite D. Exploring Trends through “RainSphere”: Research data transformed into public knowledge Bulletin of the American Meteorological Society. 98: 653-658. DOI: 10.1175/Bams-D-16-0036.1 |
0.606 |
|
| 2017 |
Gado TA, Hsu K, Sorooshian S. Rainfall frequency analysis for ungauged sites using satellite precipitation products Journal of Hydrology. 554: 646-655. DOI: 10.1016/J.Jhydrol.2017.09.043 |
0.597 |
|
| 2017 |
Tian P, Xu X, Pan C, Hsu K, Yang T. Impacts of rainfall and inflow on rill formation and erosion processes on steep hillslopes Journal of Hydrology. 548: 24-39. DOI: 10.1016/J.Jhydrol.2017.02.051 |
0.31 |
|
| 2017 |
Katiraie-Boroujerdy P, Akbari Asanjan A, Hsu K, Sorooshian S. Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales Atmospheric Research. 193: 36-49. DOI: 10.1016/J.Atmosres.2017.04.005 |
0.656 |
|
| 2017 |
Zhu Q, Hsu K, Xu Y, Yang T. Evaluation of a new satellite‐based precipitation data set for climate studies in the Xiang River basin, southern China International Journal of Climatology. 37: 4561-4575. DOI: 10.1002/Joc.5105 |
0.554 |
|
| 2017 |
Yang Z, Hsu K, Sorooshian S, Xu X, Braithwaite D, Zhang Y, Verbist KMJ. Merging high-resolution satellite-based precipitation fields and point-scale rain gauge measurements-A case study in Chile Journal of Geophysical Research: Atmospheres. 122: 5267-5284. DOI: 10.1002/2016Jd026177 |
0.679 |
|
| 2017 |
Karbalaee N, Hsu K, Sorooshian S, Braithwaite D. Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data Journal of Geophysical Research: Atmospheres. 122: 3859-3876. DOI: 10.1002/2016Jd026037 |
0.625 |
|
| 2016 |
Li J, Hsu K, AghaKouchak A, Sorooshian S. Object-Based Assessment of Satellite Precipitation Products Remote Sensing. 8: 547. DOI: 10.3390/Rs8070547 |
0.653 |
|
| 2016 |
Ashouri H, Nguyen P, Thorstensen A, Hsu K, Sorooshian S, Braithwaite D. Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow Journal of Hydrometeorology. 17: 2061-2076. DOI: 10.1175/Jhm-D-15-0192.1 |
0.763 |
|
| 2016 |
Ashouri H, Sorooshian S, Hsu KL, Bosilovich MG, Lee J, Wehner MF, Collow A. Evaluation of NASA's MERRA precipitation product in reproducing the observed trend and distribution of extreme precipitation events in the United States Journal of Hydrometeorology. 17: 693-711. DOI: 10.1175/Jhm-D-15-0097.1 |
0.624 |
|
| 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 |
0.647 |
|
| 2016 |
Thorstensen A, Nguyen P, Hsu K, Sorooshian S. Using densely distributed soil moisture observations for calibration of a hydrologic model Journal of Hydrometeorology. 17: 571-590. DOI: 10.1175/Jhm-D-15-0071.1 |
0.655 |
|
| 2016 |
Nguyen P, Thorstensen A, Sorooshian S, Hsu K, AghaKouchak A, Sanders B, Koren V, Cui Z, Smith M. A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling Journal of Hydrology. 541: 401-420. DOI: 10.1016/J.Jhydrol.2015.10.047 |
0.698 |
|
| 2016 |
Katiraie-Boroujerdy PS, Ashouri H, Hsu Kl, Sorooshian S. Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR Theoretical and Applied Climatology. 1-12. DOI: 10.1007/S00704-016-1884-9 |
0.641 |
|
| 2016 |
Katiraie-Boroujerdy PS, Nasrollahi N, Hsu Kl, Sorooshian S. Quantifying the reliability of four global datasets for drought monitoring over a semiarid region Theoretical and Applied Climatology. 123: 387-398. DOI: 10.1007/S00704-014-1360-3 |
0.827 |
|
| 2016 |
Yang Z, Hsu K, Sorooshian S, Xu X, Braithwaite D, Verbist KMJ. Bias adjustment of satellite-based precipitation estimation using gauge observations: A case study in Chile Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2015Jd024540 |
0.68 |
|
| 2015 |
Nguyen P, Thorstensen A, Sorooshian S, Hsu K, AghaKouchak A. Flood Forecasting and Inundation Mapping Using HiResFlood-UCI and Near-Real-Time Satellite Precipitation Data: The 2008 Iowa Flood Journal of Hydrometeorology. 16: 1171-1183. DOI: 10.1175/Jhm-D-14-0212.1 |
0.706 |
|
| 2015 |
Miao C, Ashouri H, Hsu K, Sorooshian S, Duan Q. Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China Journal of Hydrometeorology. 16: 1387-1396. DOI: 10.1175/Jhm-D-14-0174.1 |
0.668 |
|
| 2015 |
Ashouri H, Hsu KL, Sorooshian S, Braithwaite DK, Knapp KR, Cecil LD, Nelson BR, Prat OP. PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies Bulletin of the American Meteorological Society. 96: 69-83. DOI: 10.1175/Bams-D-13-00068.1 |
0.669 |
|
| 2015 |
Li J, Hsu K, AghaKouchak A, Sorooshian S. An object-based approach for verification of precipitation estimation International Journal of Remote Sensing. 36: 513-529. DOI: 10.1080/01431161.2014.999170 |
0.615 |
|
| 2015 |
Jaw T, Li J, Hsu K, Sorooshian S, Driouech F. Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response Journal of Hydrology: Regional Studies. 3: 359-378. DOI: 10.1016/J.Ejrh.2015.02.008 |
0.792 |
|
| 2015 |
Nasrollahi N, Aghakouchak A, Cheng L, Damberg L, Phillips TJ, Miao C, Hsu K, Sorooshian S. How well do CMIP5 climate simulations replicate historical trends and patterns of meteorological droughts? Water Resources Research. 51: 2847-2864. DOI: 10.1002/2014Wr016318 |
0.83 |
|
| 2014 |
Tao Y, Duan Q, Ye A, Gong W, Di Z, Xiao M, Hsu K. An evaluation of post-processed TIGGE multimodel ensemble precipitation forecast in the Huai river basin Journal of Hydrology. 519: 2890-2905. DOI: 10.1016/J.Jhydrol.2014.04.040 |
0.462 |
|
| 2014 |
Chang FJ, Chiang YM, Tsai MJ, Shieh MC, Hsu KL, Sorooshian S. Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information Journal of Hydrology. 508: 374-384. DOI: 10.1016/J.Jhydrol.2013.11.011 |
0.675 |
|
| 2014 |
Lo Conti F, Hsu KL, Noto LV, Sorooshian S. Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea Atmospheric Research. 138: 189-204. DOI: 10.1016/J.Atmosres.2013.11.011 |
0.663 |
|
| 2014 |
Nguyen P, Sellars S, Thorstensen A, Tao Y, Ashouri H, Braithwaite D, Hsu K, Sorooshian S. Satellites Track Precipitation of Super Typhoon Haiyan Eos, Transactions American Geophysical Union. 95: 133-135. DOI: 10.1002/2014Eo160002 |
0.641 |
|
| 2013 |
Nasrollahi N, Hsu K, Sorooshian S. An artificial neural network model to reduce false alarms in satellite precipitation products using MODIS and cloudsat observations Journal of Hydrometeorology. 14: 1872-1883. DOI: 10.1175/Jhm-D-12-0172.1 |
0.819 |
|
| 2013 |
Mahrooghy M, Anantharaj VG, Younan NH, Petersen WA, Hsu KL, Behrangi A, Aanstoos J. Augmenting satellite precipitation estimation with lightning information International Journal of Remote Sensing. 34: 5796-5811. DOI: 10.1080/01431161.2013.796100 |
0.713 |
|
| 2013 |
Smith M, Koren V, Zhang Z, Moreda F, Cui Z, Cosgrove B, Mizukami N, Kitzmiller D, Ding F, Reed S, Anderson E, Schaake J, Zhang Y, Andréassian V, Perrin C, ... ... Hsu KL, et al. The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments Journal of Hydrology. 507: 300-329. DOI: 10.1016/J.Jhydrol.2013.08.040 |
0.799 |
|
| 2013 |
Zahraei A, Hsu Kl, Sorooshian S, Gourley JJ, Hong Y, Behrangi A. Short-term quantitative precipitation forecasting using an object-based approach Journal of Hydrology. 483: 1-15. DOI: 10.1016/J.Jhydrol.2012.09.052 |
0.82 |
|
| 2013 |
Katiraie-Boroujerdy PS, Nasrollahi N, Hsu Kl, Sorooshian S. Evaluation of satellite-based precipitation estimation over Iran Journal of Arid Environments. 97: 205-219. DOI: 10.1016/J.Jaridenv.2013.05.013 |
0.843 |
|
| 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 |
0.711 |
|
| 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 |
0.806 |
|
| 2012 |
Mahrooghy M, Anantharaj VG, Younan NH, Aanstoos J, Hsu KL. On an enhanced PERSIANN-CCS algorithm for precipitation estimation Journal of Atmospheric and Oceanic Technology. 29: 922-932. DOI: 10.1175/Jtech-D-11-00146.1 |
0.453 |
|
| 2012 |
Hsu K, Sorooshian S, Gao X, Braithwaite D, AghaKouchak A. Monitoring global precipitation using satellites Spie Newsroom. DOI: 10.1117/2.1201210.004475 |
0.602 |
|
| 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 |
0.597 |
|
| 2012 |
Behrangi A, Sorooshian S, Hsu Kl. Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation Journal of Hydrology. 456: 130-138. DOI: 10.1016/J.Jhydrol.2012.06.033 |
0.796 |
|
| 2012 |
Khakbaz B, Imam B, Hsu K, Sorooshian S. From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models Journal of Hydrology. 418: 61-77. DOI: 10.1016/J.Jhydrol.2009.02.021 |
0.794 |
|
| 2012 |
Zahraei A, Hsu Kl, Sorooshian S, Gourley JJ, Lakshmanan V, Hong Y, Bellerby T. Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach Atmospheric Research. 118: 418-434. DOI: 10.1016/J.Atmosres.2012.07.001 |
0.798 |
|
| 2012 |
Hsu K, Li J, Sorooshian S. To improve model soil moisture estimation in arid/semi-arid region using in situ and remote sensing information Paddy and Water Environment. 10: 165-173. DOI: 10.1007/S10333-011-0308-9 |
0.523 |
|
| 2011 |
Dong X, Xi B, Kennedy A, Feng Z, Entin JK, Houser PR, Schiffer RA, L'Ecuyer T, Olson WS, Hsu K, Liu WT, Lin B, Deng Y, Jiang T. Investigation of the 2006 drought and 2007 flood extremes at the Southern Great Plains through an integrative analysis of observations Journal of Geophysical Research. 116. DOI: 10.1029/2010Jd014776 |
0.431 |
|
| 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 |
0.624 |
|
| 2011 |
Aghakouchak A, Behrangi A, Sorooshian S, Hsu K, Amitai E. Evaluation of satellite-retrieved extreme precipitation rates across the central United States Journal of Geophysical Research Atmospheres. 116. DOI: 10.1029/2010Jd014741 |
0.786 |
|
| 2011 |
Behrangi A, Khakbaz B, Jaw TC, AghaKouchak A, Hsu K, Sorooshian S. Hydrologic evaluation of satellite precipitation products over a mid-size basin Journal of Hydrology. 397: 225-237. DOI: 10.1016/J.Jhydrol.2010.11.043 |
0.776 |
|
| 2010 |
Bae HK, Olson BH, Hsu KL, Sorooshian S. Classification and regression tree (CART) analysis for indicator bacterial concentration prediction for a Californian coastal area. Water Science and Technology : a Journal of the International Association On Water Pollution Research. 61: 545-53. PMID 20107282 DOI: 10.2166/Wst.2010.842 |
0.702 |
|
| 2010 |
Juglea S, Kerr YH, Mialon A, Lopez-Baeza E, Braithwaite D, Hsu K. Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station Hydrology and Earth System Sciences. 14: 1509-1525. DOI: 10.5194/Hess-14-1509-2010 |
0.39 |
|
| 2010 |
Hsu K. Hydrologic forecasting using artificial neural networks: a Bayesian sequential Monte Carlo approach Journal of Hydroinformatics. 13: 25-35. DOI: 10.2166/Hydro.2010.044 |
0.417 |
|
| 2010 |
Behrangi A, Imam B, Hsu K, Sorooshian S, Bellerby TJ, Huffman GJ. REFAME: Rain estimation using forward-adjusted advection of microwave estimates Journal of Hydrometeorology. 11: 1305-1321. DOI: 10.1175/2010Jhm1248.1 |
0.768 |
|
| 2009 |
Bae HK, Olson BH, Hsu KL, Sorooshian S. Identification and application of physical and chemical parameters to predict indicator bacterial concentration in a small Californian creek. Water Environment Research : a Research Publication of the Water Environment Federation. 81: 633-40. PMID 19601429 DOI: 10.2175/106143008X390843 |
0.703 |
|
| 2009 |
Behrangi A, Hsu KL, Imam B, Sorooshian S, Huffman GJ, Kuligowski RJ. PERSIANN-MSA: A precipitation estimation method from satellite-based multispectral analysis Journal of Hydrometeorology. 10: 1414-1429. DOI: 10.1175/2009Jhm1139.1 |
0.759 |
|
| 2009 |
Boushaki FI, Hsu KL, Sorooshian S, Park GH, Mahani S, Shi W. Bias adjustment of satellite precipitation estimation using ground-based measurement: A case study evaluation over the southwestern United States Journal of Hydrometeorology. 10: 1231-1242. DOI: 10.1175/2009Jhm1099.1 |
0.65 |
|
| 2009 |
Hsu KL, Bellerby T, Sorooshian S. LMODEL: A satellite precipitation methodology using cloud development modeling. Part II: Validation Journal of Hydrometeorology. 10: 1096-1108. DOI: 10.1175/2009Jhm1092.1 |
0.671 |
|
| 2009 |
Behrangi A, Hsu KL, Imam B, Sorooshian S, Kuligowski RJ. Evaluating the utility of multispectral information in delineating the areal extent of precipitation Journal of Hydrometeorology. 10: 684-700. DOI: 10.1175/2009Jhm1077.1 |
0.716 |
|
| 2009 |
Tian Y, Peters-Lidard CD, Eylander JB, Joyce RJ, Huffman GJ, Adler RF, Hsu KL, Turk FJ, Garcia M, Zeng J. Component analysis of errors in Satellite-based precipitation estimates Journal of Geophysical Research Atmospheres. 114. DOI: 10.1029/2009Jd011949 |
0.434 |
|
| 2009 |
Hsu KL, Moradkhani H, Sorooshian S. A sequential Bayesian approach for hydrologic model selection and prediction Water Resources Research. 45. DOI: 10.1029/2008Wr006824 |
0.726 |
|
| 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 |
0.619 |
|
| 2007 |
Hong Y, Gochis D, Cheng J, Hsu K, Sorooshian S. Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network Journal of Hydrometeorology. 8: 469-482. DOI: 10.1175/Jhm574.1 |
0.72 |
|
| 2007 |
Chiang YM, Hsu KL, Chang FJ, Hong Y, Sorooshian S. Merging multiple precipitation sources for flash flood forecasting Journal of Hydrology. 340: 183-196. DOI: 10.1016/J.Jhydrol.2007.04.007 |
0.704 |
|
| 2007 |
Dai A, Lin X, Hsu K. The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low- and mid-latitudes Climate Dynamics. 29: 727-744. DOI: 10.1007/S00382-007-0260-Y |
0.468 |
|
| 2006 |
Lawford R, Bosilovich M, Eden S, Benedict S, Brown C, Gruber A, Houser P, Hsu K, Huang J, Lau W, Meyers T, Mitchell K, Peters-Lidard C, Roads J, Rodell M, et al. U.S. contributions to the CEOP Bulletin of the American Meteorological Society. 87: 927-939. DOI: 10.1175/Bams-87-7-927 |
0.574 |
|
| 2006 |
Moradkhani H, Hsu K, Hong Y, Sorooshian S. Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting Geophysical Research Letters. 33. DOI: 10.1029/2006Gl026855 |
0.766 |
|
| 2006 |
Hong Y, Hsu KL, Moradkhani H, Sorooshian S. Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response Water Resources Research. 42. DOI: 10.1029/2005Wr004398 |
0.782 |
|
| 2005 |
Moradkhani H, Hsu KL, Gupta H, Sorooshian S. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter Water Resources Research. 41: 1-17. DOI: 10.1029/2004Wr003604 |
0.712 |
|
| 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 |
0.696 |
|
| 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 |
0.715 |
|
| 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 |
0.69 |
|
| 2003 |
Li J, Maddox RA, Gao X, Sorooshian S, Hsu K. A Numerical Investigation of Storm Structure and Evolution during the July 1999 Las Vegas Flash Flood Monthly Weather Review. 131: 2038-2059. DOI: 10.1175/1520-0493(2003)131<2038:Anioss>2.0.Co;2 |
0.611 |
|
| 2003 |
Li J, Gao X, Maddox RA, Sorooshian S, Hsu K. Summer Weather Simulation for the Semiarid Lower Colorado River Basin: Case Tests Monthly Weather Review. 131: 521-541. DOI: 10.1175/1520-0493(2003)131<0521:Swsfts>2.0.Co;2 |
0.601 |
|
| 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 |
0.8 |
|
| 2002 |
Sorooshian S, Gao X, Hsu K, Maddox RA, Hong Y, Gupta HV, Imam B. Diurnal Variability of Tropical Rainfall Retrieved from Combined GOES and TRMM Satellite Information Journal of Climate. 15: 983-1001. DOI: 10.1175/1520-0442(2002)015<0983:Dvotrr>2.0.Co;2 |
0.712 |
|
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