| 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 |
0.662 |
|
| 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 |
0.712 |
|
| 2021 |
Sadeghi M, Nguyen P, Naeini MR, Hsu K, Braithwaite D, Sorooshian S. PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies. Scientific Data. 8: 157. PMID 34162874 DOI: 10.1038/s41597-021-00940-9 |
0.589 |
|
| 2020 |
Nguyen P, Ombadi M, Gorooh VA, Shearer EJ, Sadeghi M, Sorooshian S, Hsu K, Bolvin D, Ralph MF. PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset. Journal of Hydrometeorology. 21: 2893-2906. PMID 34158807 DOI: 10.1175/jhm-d-20-0177.1 |
0.61 |
|
| 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 |
0.612 |
|
| 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 |
0.667 |
|
| 2020 |
Mosaffa H, Sadeghi M, Hayatbini N, Gorooh VA, Asanjan AA, Nguyen P, Sorooshian S. Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset Remote Sensing. 12: 1584. DOI: 10.3390/Rs12101584 |
0.649 |
|
| 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 |
0.735 |
|
| 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 |
0.7 |
|
| 2020 |
Mosaffa H, Shirvani A, Khalili D, Nguyen P, Sorooshian S. Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran International Journal of Remote Sensing. 41: 6484-6502. DOI: 10.1080/01431161.2020.1739352 |
0.597 |
|
| 2020 |
Ombadi M, Nguyen P, Sorooshian S, Hsu K. Evaluation of Methods for Causal Discovery in Hydrometeorological Systems Water Resources Research. 56. DOI: 10.1029/2020Wr027251 |
0.491 |
|
| 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 |
0.709 |
|
| 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 |
0.718 |
|
| 2019 |
Nguyen P, Shearer EJ, Tran H, Ombadi M, Hayatbini N, Palacios T, Huynh P, Braithwaite D, Updegraff G, Hsu K, Kuligowski B, Logan WS, Sorooshian S. The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. Scientific Data. 6: 180296. PMID 30620343 DOI: 10.1038/Sdata.2018.296 |
0.595 |
|
| 2019 |
Li J, Yuan D, Liu J, Jiang Y, Chen Y, Hsu KL, Sorooshian S. Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model Hydrology and Earth System Sciences. 23: 1505-1532. DOI: 10.5194/Hess-23-1505-2019 |
0.508 |
|
| 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 |
0.66 |
|
| 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 |
0.718 |
|
| 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 |
0.724 |
|
| 2019 |
Naeini MR, Analui B, Gupta HV, Duan Q, Sorooshian S. Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications Scientia Iranica. 26: 2015-2031. DOI: 10.24200/Sci.2019.21500 |
0.313 |
|
| 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 |
0.708 |
|
| 2019 |
Tran H, Nguyen P, Ombadi M, Hsu K, Sorooshian S, Andreadis K. Improving Hydrologic Modeling Using Cloud-Free MODIS Flood Maps Journal of Hydrometeorology. 20: 2203-2214. DOI: 10.1175/Jhm-D-19-0021.1 |
0.586 |
|
| 2019 |
Hayatbini N, Hsu K, Sorooshian S, Zhang Y, Zhang F. Effective Cloud Detection and Segmentation Using a Gradient-Based Algorithm for Satellite Imagery: Application to Improve PERSIANN-CCS Journal of Hydrometeorology. 20: 901-913. DOI: 10.1175/Jhm-D-18-0197.1 |
0.373 |
|
| 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 |
0.666 |
|
| 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 |
0.631 |
|
| 2018 |
Nguyen P, Ombadi M, Sorooshian S, Hsu K, AghaKouchak A, Braithwaite D, Ashouri H, Thorstensen AR. The PERSIANN family of global satellite precipitation data: a review and evaluation of products Hydrology and Earth System Sciences. 22: 5801-5816. DOI: 10.5194/Hess-22-5801-2018 |
0.611 |
|
| 2018 |
Li J, Yuan D, Liu J, Jiang Y, Chen Y, Hsu KL, Sorooshian S. Flood forecasting in large karst river basin by coupling PERSIANN CCS QPEs with a physically based distributed hydrological model Hydrology and Earth System Sciences Discussions. 1-38. DOI: 10.5194/Hess-2018-438 |
0.492 |
|
| 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 |
0.639 |
|
| 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 |
0.624 |
|
| 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 |
0.712 |
|
| 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 |
0.748 |
|
| 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 |
0.644 |
|
| 2018 |
Zhang D, Lin J, Peng Q, Wang D, Yang T, Sorooshian S, Liu X, Zhuang J. Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm Journal of Hydrology. 565: 720-736. DOI: 10.1016/J.Jhydrol.2018.08.050 |
0.393 |
|
| 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 |
0.649 |
|
| 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 |
0.546 |
|
| 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 |
0.639 |
|
| 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 |
0.649 |
|
| 2017 |
Liu X, Yang T, Hsu K, Liu C, Sorooshian S. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau Hydrology and Earth System Sciences. 21: 169-181. DOI: 10.5194/Hess-21-169-2017 |
0.483 |
|
| 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 |
0.748 |
|
| 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 |
0.648 |
|
| 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 |
0.635 |
|
| 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 |
0.617 |
|
| 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 |
0.649 |
|
| 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 |
0.727 |
|
| 2017 |
Sellars SL, Kawzenuk B, Nguyen P, Ralph FM, Sorooshian S. Genesis, Pathways, and Terminations of Intense Global Water Vapor Transport in Association with Large-Scale Climate Patterns Geophysical Research Letters. 44: 12-475. DOI: 10.1002/2017Gl075495 |
0.606 |
|
| 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 |
0.669 |
|
| 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 |
0.622 |
|
| 2016 |
Li J, Hsu K, AghaKouchak A, Sorooshian S. Object-Based Assessment of Satellite Precipitation Products Remote Sensing. 8: 547. DOI: 10.3390/Rs8070547 |
0.648 |
|
| 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 |
0.754 |
|
| 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 |
0.635 |
|
| 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 |
0.641 |
|
| 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 |
0.685 |
|
| 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 |
0.728 |
|
| 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 |
0.636 |
|
| 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 |
0.83 |
|
| 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 |
0.401 |
|
| 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 |
0.665 |
|
| 2015 |
Sarachi S, Hsu KL, Sorooshian S. A statistical model for the uncertainty analysis of satellite precipitation products Journal of Hydrometeorology. 16: 2101-2117. DOI: 10.1175/JHM-D-15-0028.1 |
0.398 |
|
| 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 |
0.488 |
|
| 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 |
0.712 |
|
| 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 |
0.657 |
|
| 2015 |
Sellars SL, Gao X, Sorooshian S. An object-oriented approach to investigate impacts of climate oscillations on precipitation: A western United States case study Journal of Hydrometeorology. 16: 830-842. DOI: 10.1175/Jhm-D-14-0101.1 |
0.408 |
|
| 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 |
0.662 |
|
| 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 |
0.619 |
|
| 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 |
0.331 |
|
| 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 |
0.806 |
|
| 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 |
0.839 |
|
| 2014 |
Sultana R, Hsu KL, Li J, Sorooshian S. Evaluating the utah energy balance (UEB) snow model in the noah land-surface model Hydrology and Earth System Sciences. 18: 3553-3570. DOI: 10.5194/Hess-18-3553-2014 |
0.414 |
|
| 2014 |
Pagano TC, Wood AW, Ramos M, Cloke HL, Pappenberger F, Clark MP, Cranston M, Kavetski D, Mathevet T, Sorooshian S, Verkade JS. Challenges of Operational River Forecasting Journal of Hydrometeorology. 15: 1692-1707. DOI: 10.1175/Jhm-D-13-0188.1 |
0.742 |
|
| 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 |
0.669 |
|
| 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 |
0.656 |
|
| 2014 |
Sorooshian S, Aghakouchak A, Li J. Influence of irrigation on land hydrological processes over California Journal of Geophysical Research D: Atmospheres. 119: 13137-13152. DOI: 10.1002/2014Jd022232 |
0.409 |
|
| 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 |
0.657 |
|
| 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 |
0.822 |
|
| 2013 |
Sorooshian S, Chu W. Review of parameterization and parameter estimation for hydrologic models Land Surface Observation, Modeling and Data Assimilation. 127-140. DOI: 10.1142/9789814472616_0005 |
0.326 |
|
| 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, ... ... Sorooshian S, 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 |
0.819 |
|
| 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 |
0.826 |
|
| 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 |
0.836 |
|
| 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 |
0.719 |
|
| 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 |
0.821 |
|
| 2012 |
Hsu K, Sorooshian S, Gao X, Braithwaite D, AghaKouchak A. Monitoring global precipitation using satellites Spie Newsroom. DOI: 10.1117/2.1201210.004475 |
0.607 |
|
| 2012 |
Moradkhani H, Dechant CM, Sorooshian S. Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method Water Resources Research. 48. DOI: 10.1029/2012Wr012144 |
0.634 |
|
| 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 |
0.383 |
|
| 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 |
0.633 |
|
| 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 |
0.784 |
|
| 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 |
0.81 |
|
| 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 |
0.801 |
|
| 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 |
0.566 |
|
| 2011 |
Sorooshian S, AghaKouchak A, Arkin P, Eylander J, Foufoula-Georgiou E, Harmon R, Hendrickx JMH, Imam B, Kuligowski R, Skahill B, Skofronick-Jackson G. Advancing the Remote Sensing of Precipitation Bulletin of the American Meteorological Society. 92: 1271-1272. DOI: 10.1175/Bams-D-11-00116.1 |
0.328 |
|
| 2011 |
Sorooshian S, AghaKouchak A, Arkin P, Eylander J, Foufoula-Georgiou E, Harmon R, Hendrickx JMH, Imam B, Kuligowski R, Skahill B, Skofronick-Jackson G. Advanced Concepts on Remote Sensing of Precipitation at Multiple Scales Bulletin of the American Meteorological Society. 92: 1353-1357. DOI: 10.1175/2011Bams3158.1 |
0.304 |
|
| 2011 |
AghaKouchak A, Nasrollahi N, Li J, Imam B, Sorooshian S. Geometrical characterization of precipitation patterns Journal of Hydrometeorology. 12: 274-285. DOI: 10.1175/2010Jhm1298.1 |
0.767 |
|
| 2011 |
Khakbaz B, Imam B, Sorooshian S, Koren VI, Cui Z, Smith MB, Restrepo P. Modification of the National Weather Service Distributed Hydrologic Model for subsurface water exchanges between grids Water Resources Research. 47. DOI: 10.1029/2010Wr009626 |
0.805 |
|
| 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 |
0.656 |
|
| 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 |
0.777 |
|
| 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 |
0.409 |
|
| 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 |
0.801 |
|
| 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 |
0.714 |
|
| 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 |
0.761 |
|
| 2010 |
Behrangi A, Hsu K, Imam B, Sorooshian S. Daytime precipitation estimation using bispectral cloud classification system Journal of Applied Meteorology and Climatology. 49: 1015-1031. DOI: 10.1175/2009Jamc2291.1 |
0.681 |
|
| 2010 |
Yilmaz KK, Vrugt JA, Gupta HV, Sorooshian S. Model calibration in watershed hydrology Advances in Data-Based Approaches For Hydrologic Modeling and Forecasting. 53-105. DOI: 10.1142/9789814307987_0003 |
0.327 |
|
| 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 |
0.368 |
|
| 2010 |
Hsu KL, Behrangi A, Imam B, Sorooshian S. Extreme precipitation estimation using satellite-Based PERSIANN-CCS algorithm Satellite Rainfall Applications For Surface Hydrology. 49-67. DOI: 10.1007/978-90-481-2915-7_4 |
0.676 |
|
| 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 |
0.726 |
|
| 2009 |
Bae H, Olson BH, Hsu K, Sorooshian S. Two Different Modeling Approaches to Predict the Biological Contaminations in Aliso Creek, California Proceedings of the Water Environment Federation. 2009: 5048-5055. DOI: 10.2175/193864709793951793 |
0.576 |
|
| 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 |
0.755 |
|
| 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 |
0.64 |
|
| 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 |
0.678 |
|
| 2009 |
Bellerby T, Hsu KL, Sorooshian S. LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration Journal of Hydrometeorology. 10: 1081-1095. DOI: 10.1175/2009Jhm1091.1 |
0.467 |
|
| 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 |
0.727 |
|
| 2009 |
Welles E, Sorooshian S. Scientific verification of deterministic river stage forecasts Journal of Hydrometeorology. 10: 507-520. DOI: 10.1175/2008Jhm1022.1 |
0.718 |
|
| 2009 |
Pielke R, Beven K, Brasseur G, Calvert J, Chahine M, Dickerson RR, Entekhabi D, Foufoula-Georgiou E, Gupta H, Gupta V, Krajewski W, Krider EP, Lau WKM, McDonnell J, Rossow W, ... ... Sorooshian S, et al. Climate Change: The Need to Consider Human Forcings Besides Greenhouse Gases Eos, Transactions American Geophysical Union. 90: 413. DOI: 10.1029/2009Eo450008 |
0.33 |
|
| 2009 |
Ajami NK, Duan Q, Sorooshian S. Reply to Comment by B. Renard et al. on "An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction" Water Resources Research. 45. DOI: 10.1029/2008Wr007215 |
0.731 |
|
| 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 |
0.748 |
|
| 2008 |
Franz KJ, Hogue TS, Sorooshian S. Snow model verification using ensemble prediction and operational benchmarks Journal of Hydrometeorology. 9: 1402-1415. DOI: 10.1175/2008Jhm995.1 |
0.782 |
|
| 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 |
0.441 |
|
| 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 |
0.65 |
|
| 2008 |
Moradkhani H, Hsu K, Sorooshian S. Toward improved hydrologic prediction with reduced uncertainty using sequential multi-model combination World Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008. 316. DOI: 10.1061/40976(316)576 |
0.634 |
|
| 2008 |
Behrangi A, Khakbaz B, Vrugt JA, Duan Q, Sorooshian S. Comment on "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" by Bryan A. Tolson and Christine A. Shoemaker Water Resources Research. 44. DOI: 10.1029/2007Wr006429 |
0.78 |
|
| 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 |
0.566 |
|
| 2008 |
Franz KJ, Hogue TS, Sorooshian S. Operational snow modeling: Addressing the challenges of an energy balance model for National Weather Service forecasts Journal of Hydrology. 360: 48-66. DOI: 10.1016/J.Jhydrol.2008.07.013 |
0.774 |
|
| 2008 |
Farid A, Goodrich DC, Bryant R, Sorooshian S. Using airborne lidar to predict Leaf Area Index in cottonwood trees and refine riparian water-use estimates Journal of Arid Environments. 72: 1-15. DOI: 10.1016/J.Jaridenv.2007.04.010 |
0.391 |
|
| 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 |
0.638 |
|
| 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 |
0.508 |
|
| 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 |
0.71 |
|
| 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 |
0.486 |
|
| 2007 |
Welles E, Sorooshian S, Carter G, Olsen B. Hydrologic verification: A call for action and collaboration Bulletin of the American Meteorological Society. 88: 503-511. DOI: 10.1175/Bams-88-4-503 |
0.694 |
|
| 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 |
0.631 |
|
| 2007 |
Ajami NK, Duan Q, Sorooshian S. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction Water Resources Research. 43. DOI: 10.1029/2005Wr004745 |
0.778 |
|
| 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 |
0.713 |
|
| 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 |
0.746 |
|
| 2007 |
Park GH, Gao X, Sorooshian S. A method to estimate spectral radiation components from surface net radiation, using long-term cloud observations 87th Ams Annual Meeting. |
0.467 |
|
| 2006 |
Farid A, Rautenkranz D, Goodrich DC, Marsh SE, Sorooshian S. Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees Canadian Journal of Remote Sensing. 32: 15-18. DOI: 10.5589/M06-003 |
0.332 |
|
| 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 |
0.758 |
|
| 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, ... Sorooshian S, et al. U.S. contributions to the CEOP Bulletin of the American Meteorological Society. 87: 927-939. DOI: 10.1175/Bams-87-7-927 |
0.614 |
|
| 2006 |
Farid A, Goodrich DC, Sorooshian S. Using airborne lidar to discern age classes of cottonwood trees in a riparian area Western Journal of Applied Forestry. 21: 149-158. DOI: 10.1093/Wjaf/21.3.149 |
0.348 |
|
| 2006 |
Hong Y, Chiang Y, Liu Y, Hsu K, Sorooshian S. Satellite‐based precipitation estimation using watershed segmentation and growing hierarchical self‐organizing map International Journal of Remote Sensing. 27: 5165-5184. DOI: 10.1080/01431160600763428 |
0.526 |
|
| 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 |
0.785 |
|
| 2006 |
Hogue TS, Bastidas LA, Gupta HV, Sorooshian S. Evaluating model performance and parameter behavior for varying levels of land surface model complexity Water Resources Research. 42. DOI: 10.1029/2005Wr004440 |
0.818 |
|
| 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 |
0.785 |
|
| 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 |
0.459 |
|
| 2006 |
Bastidas LA, Hogue TS, Sorooshian S, Gupta HV, Shuttleworth WJ. Parameter sensitivity analysis for different complexity land surface models using multicriteria methods Journal of Geophysical Research Atmospheres. 111. DOI: 10.1029/2005Jd006377 |
0.808 |
|
| 2006 |
Vrugt JA, Gupta HV, Dekker SC, Sorooshian S, Wagener T, Bouten W. Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model Journal of Hydrology. 325: 288-307. DOI: 10.1016/J.Jhydrol.2005.10.041 |
0.431 |
|
| 2006 |
Duan Q, Schaake J, Andréassian V, Franks S, Goteti G, Gupta HV, Gusev YM, Habets F, Hall A, Hay L, Hogue T, Huang M, Leavesley G, Liang X, Nasonova ON, ... ... Sorooshian S, et al. Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops Journal of Hydrology. 320: 3-17. DOI: 10.1016/J.Jhydrol.2005.07.031 |
0.685 |
|
| 2006 |
Hogue TS, Gupta H, Sorooshian S. A 'User-Friendly' approach to parameter estimation in hydrologic models Journal of Hydrology. 320: 202-217. DOI: 10.1016/J.Jhydrol.2005.07.009 |
0.724 |
|
| 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 |
0.404 |
|
| 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 |
0.6 |
|
| 2005 |
Morin E, Maddox RA, Goodrich DC, Sorooshian S. Radar Z-R relationship for summer monsoon storms in Arizona Weather and Forecasting. 20: 672-679. DOI: 10.1175/Waf878.1 |
0.424 |
|
| 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 |
0.427 |
|
| 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 |
0.65 |
|
| 2005 |
Yilmaz KK, Hogue TS, Hsu KL, Sorooshian S, Gupta HV, Wagener T. Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting Journal of Hydrometeorology. 6: 497-517. DOI: 10.1175/Jhm431.1 |
0.681 |
|
| 2005 |
Liu Y, Gupta HV, Sorooshian S, Bastidas LA, Shuttleworth WJ. Constraining land surface and atmospheric parameters of a locally coupled model using observational data Journal of Hydrometeorology. 6: 156-172. DOI: 10.1175/Jhm407.1 |
0.802 |
|
| 2005 |
Hogue TS, Bastidas L, Gupta H, Sorooshian S, Mitchell K, Emmerich W. Evaluation and transferability of the Noah land surface model in semiarid environments Journal of Hydrometeorology. 6: 68-84. DOI: 10.1175/Jhm-402.1 |
0.811 |
|
| 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 |
0.732 |
|
| 2005 |
Shamir E, Imam B, Gupta HV, Sorooshian S. Application of temporal streamflow descriptors in hydrologic model parameter estimation Water Resources Research. 41: 1-16. DOI: 10.1029/2004Wr003409 |
0.674 |
|
| 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 |
0.698 |
|
| 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 |
0.708 |
|
| 2005 |
Moradkhani H, Sorooshian S, Gupta HV, Houser PR. Dual state-parameter estimation of hydrological models using ensemble Kalman filter Advances in Water Resources. 28: 135-147. DOI: 10.1016/J.Advwatres.2004.09.002 |
0.674 |
|
| 2005 |
Shamir E, Imam B, Morin E, Gupta HV, Sorooshian S. The role of hydrograph indices in parameter estimation of rainfall-runoff models Hydrological Processes. 19: 2187-2207. DOI: 10.1002/Hyp.5676 |
0.678 |
|
| 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 |
0.459 |
|
| 2005 |
Ajami NK, Duan Q, Moradkhni H, Sorooshian S. Recursive Bayesian model combination for streamflow forecasting 85th Ams Annual Meeting, American Meteorological Society - Combined Preprints. 79-83. |
0.752 |
|
| 2005 |
Yuan H, Mullen SL, Gao X, Sorooshian S. Calibration of probabilistic quantitative precipitation forecasts from the RSM ensemble forecasts over hydrologic regions 85th Ams Annual Meeting, American Meteorological Society - Combined Preprints. 1879-1883. |
0.316 |
|
| 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 |
0.335 |
|
| 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 |
0.383 |
|
| 2004 |
Li J, Gao X, Maddox RA, Sorooshian S. Model study of evolution and diurnal variations of rainfall in the North American monsoon during June and July 2002 Monthly Weather Review. 132: 2895-2915. DOI: 10.1175/Mwr2832.1 |
0.484 |
|
| 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 |
0.683 |
|
| 2004 |
Pagano T, Garen D, Sorooshian S. Evaluation of official western U.S. seasonal water supply outlooks, 1922-2002 Journal of Hydrometeorology. 5: 896-909. DOI: 10.1175/1525-7541(2004)005<0896:Eoowus>2.0.Co;2 |
0.751 |
|
| 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 |
0.401 |
|
| 2004 |
Liu Y, Gupta HV, Sorooshian S, Bastidas LA, Shuttleworth WJ. Exploring parameter sensitivities of the land surface using a locally coupled land-atmosphere model Journal of Geophysical Research D: Atmospheres. 109. DOI: 10.1029/2004Jd004730 |
0.804 |
|
| 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 |
0.393 |
|
| 2004 |
K. Ajami N, Gupta H, Wagener T, Sorooshian S. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system Journal of Hydrology. 298: 112-135. DOI: 10.1016/J.Jhydrol.2004.03.033 |
0.468 |
|
| 2004 |
Moradkhani H, Hsu KL, Gupta HV, Sorooshian S. Improved streamflow forecasting using self-organizing radial basis function artificial neural networks Journal of Hydrology. 295: 246-262. DOI: 10.1016/J.Jhydrol.2004.03.027 |
0.63 |
|
| 2004 |
Xu J, Gao X, Sorooshian S, Xiao Q. Impact of assimilating rainfall derived from radar and satellites on rainstorm forecasts over the Southwestern United States Bulletin of the American Meteorological Society. 6219-6221. |
0.33 |
|
| 2003 |
Franz KJ, Hartmann HC, Sorooshian S, Bales R. Verification of National Weather Service Ensemble Streamflow Predictions for water supply forecasting in the Colorado River Basin Journal of Hydrometeorology. 4: 1105-1118. DOI: 10.1175/1525-7541(2003)004<1105:Vonwse>2.0.Co;2 |
0.828 |
|
| 2003 |
Liu Y, Bastidas LA, Gupta HV, Sorooshian S. Impacts of a parameterization deficiency on offline and coupled land surface model simulations Journal of Hydrometeorology. 4: 901-914. DOI: 10.1175/1525-7541(2003)004<0901:Ioapdo>2.0.Co;2 |
0.789 |
|
| 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 |
0.418 |
|
| 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 |
0.624 |
|
| 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 |
0.59 |
|
| 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 |
0.444 |
|
| 2003 |
Vrugt JA, Bouten W, Gupta HV, Sorooshian S. Correction to “Toward improved identifiability of hydrologic model parameters: The information content of experimental data” Water Resources Research. 39. DOI: 10.1029/2003Wr001962 |
0.348 |
|
| 2003 |
Gao X, Sorooshian S, Li J, Xu J. SST data improve modeling of north american monsoon rainfall Eos. 84. DOI: 10.1029/2003Eo430001 |
0.443 |
|
| 2003 |
Vrugt JA, Gupta HV, Bastidas LA, Bouten W, Sorooshian S. Effective and efficient algorithm for multiobjective optimization of hydrologic models Water Resources Research. 39. DOI: 10.1029/2002Wr001746 |
0.721 |
|
| 2003 |
Vrugt JA, Gupta HV, Bouten W, Sorooshian S. A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters Water Resources Research. 39. DOI: 10.1029/2002Wr001642 |
0.353 |
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| 2003 |
Jin J, Gao X, Sorooshian S. Impacts of model calibration on high-latitude land-surface processes: PILPS 2(e) calibration/validation experiments Global and Planetary Change. 38: 73-80. DOI: 10.1016/S0921-8181(03)00006-7 |
0.526 |
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| 2003 |
Sorooshian S, Imam B, Mahani S, Pagano T, Whitaker M. Hydrologic sciences and water resources management issues in a changing world Developments in Water Science. 50: 83-92. DOI: 10.1016/S0167-5648(03)80009-6 |
0.731 |
|
| 2003 |
Syed KH, Goodrich DC, Myers DE, Sorooshian S. Spatial characteristics of thunderstorm rainfall fields and their relation to runoff Journal of Hydrology. 271: 1-21. DOI: 10.1016/S0022-1694(02)00311-6 |
0.44 |
|
| 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 |
0.82 |
|
| 2002 |
Pagano TC, Hartmann HC, Sorooshian S. Factors affecting seasonal forecast use in Arizona water management: A case study of the 1997-98 El Niño Climate Research. 21: 259-269. DOI: 10.3354/Cr021259 |
0.801 |
|
| 2002 |
Hartmann HC, Bales R, Sorooshian S. Weather, climate, and hydrologic forecasting for the US Southwest: A survey Climate Research. 21: 239-258. DOI: 10.3354/Cr021239 |
0.795 |
|
| 2002 |
Yucel I, Shuttleworth WJ, Pinker RT, Lu L, Sorooshian S. Impact of ingesting satellite-derived cloud cover into the regional atmospheric modeling system Monthly Weather Review. 130: 610-628. DOI: 10.1175/1520-0493(2002)130<0610:Ioisdc>2.0.Co;2 |
0.428 |
|
| 2002 |
Hartmann HC, Pagano TC, Sorooshian S, Bales R. Confidence builders: Evaluating seasonal climate forecasts from user perspectives Bulletin of the American Meteorological Society. 83: 683-698. DOI: 10.1175/1520-0477(2002)083<0683:Cbescf>2.3.Co;2 |
0.802 |
|
| 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 |
0.703 |
|
| 2002 |
Vrugt JA, Bouten W, Gupta HV, Sorooshian S. Toward improved identifiability of hydrologic model parameters: The information content of experimental data Water Resources Research. 38: 481-4813. DOI: 10.1029/2001Wr001118 |
0.391 |
|
| 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 |
0.386 |
|
| 2002 |
Sorooshian S, Whitaker MPL, Hogue TS. Regional and global hydrology and water resources issues: The role of international and national programs Aquatic Sciences. 64: 317-327. DOI: 10.1007/Pl00012589 |
0.661 |
|
| 2001 |
Wagener T, Boyle DP, Lees MJ, Wheater HS, Gupta HV, Sorooshian S. A framework for development and application of hydrological models Hydrology and Earth System Sciences. 5: 13-26. DOI: 10.5194/Hess-5-13-2001 |
0.42 |
|
| 2001 |
Pagano TC, Hartmann HC, Sorooshian S. Using climate forecasts for water management: Arizona and the 1997-1998 El Niño Journal of the American Water Resources Association. 37: 1139-1153. DOI: 10.1111/J.1752-1688.2001.Tb03628.X |
0.805 |
|
| 2001 |
Thiemann M, Trosset M, Gupta H, Sorooshian S. Bayesian recursive parameter estimation for hydrologic models Water Resources Research. 37: 2521-2535. DOI: 10.1029/2000Wr900405 |
0.448 |
|
| 2001 |
Sivakumar B, Sorooshian S, Vijai Gupta H, Gao X. A chaotic approach to rainfall disaggregation Water Resources Research. 37: 61-72. DOI: 10.1029/2000Wr900196 |
0.415 |
|
| 2001 |
Boyle DP, Gupta HV, Sorooshian S, Koren V, Zhang Z, Smith M. Toward improved streamflow forecasts: Value of semidistributed modeling Water Resources Research. 37: 2749-2759. DOI: 10.1029/2000Wr000207 |
0.436 |
|
| 2001 |
Ware RH, Fulker DW, Stein SA, Anderson DN, Avery SK, Clark RD, Droegemeier KK, Kuettner JP, Minster JB, Sorooshian S. Real-time national GPS networks for atmospheric sensing Journal of Atmospheric and Solar-Terrestrial Physics. 63: 1315-1330. DOI: 10.1016/S1364-6826(00)00250-9 |
0.408 |
|
| 2001 |
Sen OL, Bastidas LA, Shuttleworth WJ, Yang Z, Gupta HV, Sorooshian S. Impact of field-calibrated vegetation parameters on GCM climate simulations Quarterly Journal of the Royal Meteorological Society. 127: 1199-1223. DOI: 10.1002/Qj.49712757404 |
0.764 |
|
| 2000 |
Ware RH, Fulker DW, Stein SA, Anderson DN, Avery SK, Clark RD, Droegemeier KK, Kuettner JP, Minster J, Sorooshian S. Real-time national GPS networks: Opportunities for atmospheric sensing Earth, Planets and Space. 52: 901-905. DOI: 10.1186/Bf03352303 |
0.336 |
|
| 2000 |
Hogue TS, Sorooshian S, Gupta H, Holz A, Braatz D. A Multistep Automatic Calibration Scheme for River Forecasting Models Journal of Hydrometeorology. 1: 524-542. DOI: 10.1175/1525-7541(2000)001<0524:Amacsf>2.0.Co;2 |
0.669 |
|
| 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 |
0.424 |
|
| 2000 |
Ware RH, Fulker DW, Stein SA, Anderson DN, Avery SK, Clark RD, Droegemeier KK, Kuettner JP, Minster JB, Sorooshian S. Suominet: A real-time national GPS network for atmospheric research and education Bulletin of the American Meteorological Society. 81: 677-694. DOI: 10.1175/1520-0477(2000)081<0677:Sarngn>2.3.Co;2 |
0.34 |
|
| 2000 |
Boyle DP, Gupta HV, Sorooshian S. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods Water Resources Research. 36: 3663-3674. DOI: 10.1029/2000Wr900207 |
0.429 |
|
| 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 |
0.398 |
|
| 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 |
0.403 |
|
| 2000 |
Hartman HC, Pagana T, Hogue T, Mahani S, Sorooshian S. Town meeting revisits priorities in the hydrologic sciences Eos, Transactions American Geophysical Union. 81: 283. DOI: 10.1029/00Eo00212 |
0.608 |
|
| 2000 |
Chehbouni A, Goodrich DC, Moran MS, Watts CJ, Kerr YH, Dedieu G, Kepner WG, Shuttleworth WJ, Sorooshian S. A preliminary synthesis of major scientific results during the SALSA program Agricultural and Forest Meteorology. 105: 311-323. DOI: 10.1016/S0168-1923(00)00179-9 |
0.369 |
|
| 2000 |
Qi J, Kerr YH, Moran MS, Weltz M, Huete AR, Sorooshian S, Bryant R. Leaf area index estimates using remotely sensed data and BRDF models in a semiarid region Remote Sensing of Environment. 73: 18-30. DOI: 10.1016/S0034-4257(99)00113-3 |
0.434 |
|
| 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 |
0.383 |
|
| 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 |
0.418 |
|
| 1999 |
Jin J, Gao X, Yang Z, Bales RC, Sorooshian S, Dickinson RE, Sun SF, Wu GX. Comparative Analyses of Physically Based Snowmelt Models for Climate Simulations Journal of Climate. 12: 2643-2657. DOI: 10.1175/1520-0442(1999)012<2643:Caopbs>2.0.Co;2 |
0.603 |
|
| 1999 |
Hartmann HC, Bales R, Sorooshian S. Weather, climate, and hydrologic forecasting for the Southwest U.S Wrpmd 1999: Preparing For the 21st Century. DOI: 10.1061/40430(1999)228 |
0.776 |
|
| 1999 |
Pagano TC, Hartmann HC, Sorooshian S. Seasonal forecasts and water management in Arizona: A case study of the 1997-98 El Niño event Wrpmd 1999: Preparing For the 21st Century. DOI: 10.1061/40430(1999)227 |
0.787 |
|
| 1999 |
Goodwin K, Rentas C, Lansey K, Imam B, Sorooshian S. Estimating uncertainty in hydrologic model predictions Wrpmd 1999: Preparing For the 21st Century. DOI: 10.1061/40430(1999)135 |
0.323 |
|
| 1999 |
Gupta HV, Sorooshian S, Yapo PO. Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration Journal of Hydrologic Engineering. 4: 135-143. DOI: 10.1061/(Asce)1084-0699(1999)4:2(135) |
0.448 |
|
| 1999 |
Hartmann HC, Thiemann M, Rentas C, Meixner T, Goodwin K, Boyle D, Sorooshian S. Federal priorities and programs in the hydrological sciences Eos. 80. DOI: 10.1029/99Eo00198 |
0.731 |
|
| 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 |
0.407 |
|
| 1999 |
Bastidas LA, Gupta HV, Sorooshian S, Shuttleworth WJ, Yang ZL. Sensitivity analysis of a land surface scheme using multicriteria methods Journal of Geophysical Research: Atmospheres. 104: 19481-19490. DOI: 10.1029/1999Jd900155 |
0.757 |
|
| 1999 |
Gupta HV, Bastidas LA, Sorooshian S, Shuttleworth WJ, Yang ZL. Parameter estimation of a land surface scheme using multicriteria methods Journal of Geophysical Research: Atmospheres. 104: 19491-19503. DOI: 10.1029/1999Jd900154 |
0.753 |
|
| 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 |
0.487 |
|
| 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 |
0.621 |
|
| 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 |
0.645 |
|
| 1998 |
Winchell M, Gupta HV, Sorooshian S. On the simulation of infiltration- and saturation-excess runoff using radar-based rainfall estimates: Effects of algorithm uncertainty and pixel aggregation Water Resources Research. 34: 2655-2670. DOI: 10.1029/98Wr02009 |
0.456 |
|
| 1998 |
Sorooshian S, Schultz P. Report endorses climate study, recommends several research foci Eos, Transactions American Geophysical Union. 79: 452-452. DOI: 10.1029/98Eo00345 |
0.39 |
|
| 1998 |
Gupta HV, Sorooshian S, Yapo PO. Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information Water Resources Research. 34: 751-763. DOI: 10.1029/97Wr03495 |
0.394 |
|
| 1998 |
Yapo PO, Gupta HV, Sorooshian S. Multi-objective global optimization for hydrologic models Journal of Hydrology. 204: 83-97. DOI: 10.1016/S0022-1694(97)00107-8 |
0.391 |
|
| 1998 |
Thiemann M, Gupta H, Funke R, Sorooshian S. Calibration of a semi-distributed rainfall-runoff model using global optimization strategies International Water Resources Engineering Conference - Proceedings. 2: 1362-1367. |
0.338 |
|
| 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 |
0.456 |
|
| 1996 |
Wolford RA, Bales RC, Sorooshian S. Development of a hydrochemical model for seasonally snow- covered alpine watersheds: Application to Emerald Lake watershed, Sierra Nevada, California Water Resources Research. 32: 1061-1074. DOI: 10.1029/95Wr03726 |
0.481 |
|
| 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 |
0.441 |
|
| 1996 |
Yapo PO, Gupta HV, Sorooshian S. Automatic calibration of conceptual rainfall-runoff models: Sensitivity to calibration data Journal of Hydrology. 181: 23-48. DOI: 10.1016/0022-1694(95)02918-4 |
0.467 |
|
| 1995 |
Kuo-Lin Hsu, Gupta HV, Sorooshian S. Artificial neural network modeling of the rainfall-runoff process Water Resources Research. 31: 2517-2530. DOI: 10.1029/95Wr01955 |
0.412 |
|
| 1995 |
Faurès JM, Goodrich DC, Woolhiser DA, Sorooshian S. Impact of small-scale spatial rainfall variability on runoff modeling Journal of Hydrology. 173: 309-326. DOI: 10.1016/0022-1694(95)02704-S |
0.448 |
|
| 1995 |
Goodrich DC, Faurès J, Woolhiser DA, Lane LJ, Sorooshian S. Measurement and analysis of small-scale convective storm rainfall variability Journal of Hydrology. 173: 283-308. DOI: 10.1016/0022-1694(95)02703-R |
0.405 |
|
| 1994 |
Xiaogang Gao, Sorooshian S. A stochastic precipitation disaggregation scheme for GCM applications Journal of Climate. 7: 238-247. DOI: 10.1175/1520-0442(1994)007<0238:Aspdsf>2.0.Co;2 |
0.395 |
|
| 1994 |
Michaud JD, Sorooshian S. Effect of rainfall‐sampling errors on simulations of desert flash floods Water Resources Research. 30: 2765-2775. DOI: 10.1029/94Wr01273 |
0.416 |
|
| 1994 |
Chavez A, Sorooshian S, Davis SN. Estimation of mountain front recharge to regional aquifers: 2. A Maximum Likelihood Approach incorporating prior information Water Resources Research. 30: 2169-2181. DOI: 10.1029/93Wr03370 |
0.41 |
|
| 1994 |
Chavez A, Davis SN, Sorooshian S. Estimation of mountain front recharge to regional aquifers: 1. Development of an Analytical Hydroclimatic Model Water Resources Research. 30: 2157-2167. DOI: 10.1029/93Wr03369 |
0.466 |
|
| 1994 |
Michaud J, Sorooshian S. Comparison of simple versus complex distributed runoff models on a midsized semiarid watershed Water Resources Research. 30: 593-605. DOI: 10.1029/93Wr03218 |
0.413 |
|
| 1994 |
Chehbouni A, Kerr YH, Qi J, Huete AR, Sorooshian S. Toward the development of a multidirectional vegetation index Water Resources Research. 30: 1281-1286. DOI: 10.1029/93Wr03063 |
0.388 |
|
| 1994 |
Duan Q, Sorooshian S, Gupta VK. Optimal use of the SCE-UA global optimization method for calibrating watershed models Journal of Hydrology. 158: 265-284. DOI: 10.1016/0022-1694(94)90057-4 |
0.39 |
|
| 1993 |
Yapo P, Sorooshian S, Gupta V. A Markov Chain Flow Model for flood forecasting Water Resources Research. 29: 2427-2436. DOI: 10.1029/93Wr00494 |
0.431 |
|
| 1993 |
Sorooshian S, Duan Q, Gupta VK. Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model Water Resources Research. 29: 1185-1194. DOI: 10.1029/92Wr02617 |
0.404 |
|
| 1992 |
Duan Q, Sorooshian S, Gupta V. Effective and efficient global optimization for conceptual rainfall‐runoff models Water Resources Research. 28: 1015-1031. DOI: 10.1029/91Wr02985 |
0.404 |
|
| 1991 |
Ritzi RW, Sorooshian S, Hsieh PA. The estimation of fluid flow properties from the response of water levels in wells to the combined atmospheric and Earth tide forces Water Resources Research. 27: 883-893. DOI: 10.1029/91Wr00070 |
0.375 |
|
| 1991 |
Ritzi RW, Sorooshian S, Gupta VK. On the estimation of parameters for frequency domain models Water Resources Research. 27: 873-882. DOI: 10.1029/91Wr00069 |
0.337 |
|
| 1990 |
Sorooshian S. 1989 Horton Award to William Yeh Eos, Transactions American Geophysical Union. 71: 282. DOI: 10.1029/90Eo00064 |
0.302 |
|
| 1990 |
Vazirinejad S, Sorooshian S. A Comparison of simultaneous-equations, weighted regression, and noise-in-variables models Applied Mathematics and Computation. 40: 187-202. DOI: 10.1016/S0096-3003(08)80001-X |
0.338 |
|
| 1989 |
Sorooshian S, Lot L, Kher K, Sioshansi FP. Noisy Data and Uncertain Coefficients: A Reply The Energy Journal. 10. DOI: 10.5547/Issn0195-6574-Ej-Vol10-No1-16 |
0.337 |
|
| 1989 |
Nevulis RH, Davis DR, Sorooshian S. Analysis of natural groundwater level variations for hydrogeologic conceptualization, Hanford Site, Washington Water Resources Research. 25: 1519-1529. DOI: 10.1029/Wr025I007P01519 |
0.364 |
|
| 1988 |
Duan Q, Sorooshian S, Ibbitt RP. A maximum likelihood criterion for use with data collected at unequal time intervals Water Resources Research. 24: 1163-1173. DOI: 10.1029/Wr024I007P01163 |
0.395 |
|
| 1988 |
Hendrickson JD, Sorooshian S, Brazil LE. Comparison of Newton‐type and direct search algorithms for calibration of conceptual rainfall‐runoff models Water Resources Research. 24: 691-700. DOI: 10.1029/Wr024I005P00691 |
0.344 |
|
| 1988 |
Kher LK, Sorooshian S. A predictive demand model for systems planning, using noisy realization theory Automatica. 24: 671-676. DOI: 10.1016/0005-1098(88)90114-8 |
0.345 |
|
| 1987 |
Kher LK, Sorooshian S. Reply [to “Comment on ‘Identification of water demand models from noisy data’ by Lov Kumar Kher and Soroosh Sorooshian”] Water Resources Research. 23: 745-746. DOI: 10.1029/Wr023I004P00745 |
0.326 |
|
| 1987 |
Sorooshian S. The Impact of Catchment Modeling on Hydrologic Reliability Nato Asi Series. Series E, Applied Sciences. 365-389. DOI: 10.1007/978-94-009-3577-8_20 |
0.41 |
|
| 1986 |
Kher LK, Sorooshian S. Identification of Water Demand Models From Noisy Data Water Resources Research. 22: 322-330. DOI: 10.1029/Wr022I003P00322 |
0.378 |
|
| 1985 |
Sorooshian S, Gupta VK. The Analysis of Structural Identifiability: Theory and Application to Conceptual Rainfall‐Runoff Models Water Resources Research. 21: 487-495. DOI: 10.1029/Wr021I004P00487 |
0.397 |
|
| 1985 |
Gupta VK, Sorooshian S. The Automatic Calibration of Conceptual Catchment Models Using Derivative‐Based Optimization Algorithms Water Resources Research. 21: 473-485. DOI: 10.1029/Wr021I004P00473 |
0.393 |
|
| 1985 |
Sorooshian S. Synthesis of hydrologic and system sciences in the development of rainfall-runoff models Applied Mathematics and Computation. 17: 279-298. DOI: 10.1016/0096-3003(85)90038-4 |
0.404 |
|
| 1985 |
Gupta VK, Sorooshian S. The relationship between data and the precision of parameter estimates of hydrologic models Journal of Hydrology. 81: 57-77. DOI: 10.1016/0022-1694(85)90167-2 |
0.436 |
|
| 1983 |
Gupta VK, Sorooshian S. Uniqueness and observability of conceptual rainfall‐runoff model parameters: The percolation process examined Water Resources Research. 19: 269-276. DOI: 10.1029/Wr019I001P00269 |
0.398 |
|
| 1983 |
Sorooshian S, Gupta VK. Automatic calibration of conceptual rainfall‐runoff models: The question of parameter observability and uniqueness Water Resources Research. 19: 260-268. DOI: 10.1029/Wr019I001P00260 |
0.417 |
|
| 1983 |
Sorooshian S, Gupta VK, Fulton JL. Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall‐runoff models: Influence of calibration data variability and length on model credibility Water Resources Research. 19: 251-259. DOI: 10.1029/Wr019I001P00251 |
0.451 |
|
| 1983 |
Sorooshian S. Surface water hydrology: on-line estimation Review of Geophysics &Amp; Space Physics. 21: 706-721. DOI: 10.1029/Rg021I003P00706 |
0.364 |
|
| 1983 |
Sorooshian S. PARAMETER IDENTIFICATION OF COMPARTMENTAL MODELS - CASE OF HYDROLOGIC RAINFALL-RUNOFF MODELS . 2: 1565-1570. DOI: 10.1016/S1474-6670(17)63222-1 |
0.432 |
|
| 1982 |
Sorooshian S, Arfi F. Response surface parameter sensitivity analysis methods for postcalibration studies Water Resources Research. 18: 1531-1538. DOI: 10.1029/Wr018I005P01531 |
0.34 |
|
| 1981 |
Sorooshian S. COMPARISON OF TWO DIRECT SEARCH ALGORITHMS USED IN CALIBRATION OF RAINFALL-RUNOFF MODELS . 477-485. DOI: 10.1016/S1474-6670(17)65104-8 |
0.367 |
|
| 1981 |
Sorooshian S. Parameter estimation of rainfall-runoff models with heteroscedastic streamflow errors - The noninformative data case Journal of Hydrology. 52: 127-138. DOI: 10.1016/0022-1694(81)90099-8 |
0.375 |
|
| 1981 |
Sorooshian S. Advanced calibration methodology for hydrologic rainfall- runoff simulation models . |
0.322 |
|
| 1980 |
Sorooshian S, Arfi F, Loparo K. Parameter estimation and sensitivity analysis-applications to hydrologic models Ieee Transactions On Automatic Control. 17: 120. DOI: 10.1109/Jacc.1980.4232201 |
0.38 |
|
| 1980 |
Sorooshian S, Dracup JA. Stochastic parameter estimation procedures for hydrologie rainfall‐runoff models: Correlated and heteroscedastic error cases Water Resources Research. 16: 430-442. DOI: 10.1029/Wr016I002P00430 |
0.705 |
|
| 1979 |
Sorooshian S. A Bayesian power transformation method for treatment of uncertainties in calibration of hydrologic models Ieee Transactions On Automatic Control. 16: 811. DOI: 10.1109/Jacc.1979.4170706 |
0.304 |
|
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