S. Sorooshian

Soroosh Sorooshian, Hun-Kyun Bae, Betty H Olson, 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

Identification and Application of Physical and Chemical Parameters to Predict Indicator Bacterial Concentration in a Small Californian Creek

S. Sorooshian, K. Hsu, H. Bae, 2009, Water environment research : a research publication of the Water Environment Federation.

Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements

S. Sorooshian, K. Hsu, P. Nguyen, 2022, Scientific Reports.

A Multi‐Step Automatic Calibration Scheme for Watershed Models

Soroosh Sorooshian, Hoshin Vijai Gupta, Terri S. Hogue, 2013 .

Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model

S. Sorooshian, K. Hsu, P. Nguyen, 2016 .

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part I: Algorithm Construction and Calibration

Kuolin Hsu, Soroosh Sorooshian, Tim Bellerby, 2009 .

Monitoring global precipitation using satellites

S. Sorooshian, Xiaogang Gao, K. Hsu, 2012 .

A Sequential Monte Carlo Approach for Streamflow Forecasting

Soroosh Sorooshian, Kevin Chihcheng Hsu, S. Sorooshian, 2008 .

An Improved Global Optimization Method and Its Application in Complex Hydrological Model Calibration and Parameter Uncertainty Study

Soroosh Sorooshian, William Chu, X. Y. Gao, 2009 .

Bounding Parameter Sets For Land Surface Models Using Remotely Sensed Information And Multi-criteria Methods

Soroosh Sorooshian, Luis A. Bastidas, Hoshin Vijai Gupta, 2002 .

Estimating cloud top height and spatial displacement from scan‐synchronous GOES images using simplified IR‐based stereoscopic analysis

Soroosh Sorooshian, Xiaogang Gao, Bisher Imam, 2000 .

Book review: Large scale systems modelling

Soroosh Sorooshian, M. H. Costin, S. Sorooshian, 1983 .

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”

Soroosh Sorooshian, Newsha K. Ajami, Qingyun Duan, 2009 .

General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis

Soroosh Sorooshian, Hamid Moradkhani, S. Sorooshian, 2009 .

Improving Precipitation Estimation Using Convolutional Neural Network

Kuolin Hsu, Amir AghaKouchak, Soroosh Sorooshian, 2019, Water Resources Research.

Spatial characteristics of thunderstorm rainfall fields and their relation to runoff

Soroosh Sorooshian, David C. Goodrich, Donald E. Myers, 2003 .

Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach

Kuolin Hsu, Soroosh Sorooshian, Yang Hong, 2012 .

Pixel-Based Very Short-Term Precipitation Forecasting for Hydrological Application

S. Sorooshian, V. Lakshmanan, J. Gourley, 2010 .

Exploring parameter sensitivities of the land surface using a locally coupled land-atmosphere model

Soroosh Sorooshian, Luis A. Bastidas, Hoshin Vijai Gupta, 2004 .

A preliminary synthesis of major scientific results during the SALSA program

Yann Kerr, Soroosh Sorooshian, Gérard Dedieu, 2000 .

Advances in Automatic Calibration of Watershed Models

Soroosh Sorooshian, Hoshin Vijai Gupta, Terri S. Hogue, 2013 .

Reducing Streamflow Forecasting Uncertainty: A Sequential Bayesian Approach Inspired by Data Assimilation for Multi-model Combination and Forecasting

Soroosh Sorooshian, Hamid Moradkhani, Kevin Chihcheng Hsu, 2009 .

Comparative Analyses of Physically Based Snowmelt Models for Climate Simulations

Soroosh Sorooshian, Zong-Liang Yang, Robert E. Dickinson, 1999 .

Discussion of “ O & M Costs and Optimal Capacity Expansion ” by Frank Pearson and Charles R. Scherer (August, 1981)

Soroosh Sorooshian, Lov K. Kher, L. K. Kher, 1983 .

Developing the Integrated Multi-Satellite Retrievals for GPM (IMERG)

Kuolin Hsu, Soroosh Sorooshian, David T. Bolvin, 2012 .

Large scale systems modelling: M. S. Mahmoud and M. G. Singh

Soroosh Sorooshian, M. H. Costin, S. Sorooshian, 1983, Autom..

Parameter estimation and sensitivity analysis-applications to hydrologic models

Soroosh Sorooshian, Kenneth A. Loparo, F. Arfi, 1980 .

One man, one vision, 35 years in the making

Soroosh Sorooshian, S. Sorooshian, 2021, Comput. Aided Civ. Infrastructure Eng..

Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

Soroosh Sorooshian, Hoshin Vijai Gupta, Xiaogang Gao, 2006 .

Estimation of physical variables from multichannel remotely sensed imagery using a neural network: Application to rainfall estimation

Kuolin Hsu, Soroosh Sorooshian, Hoshin V. Gupta, 1999 .

Assessing the Efﬁcacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamﬂow

S. Sorooshian, P. Nguyen, D. Braithwaite, 2016 .

Evaluating the utility of satellite-based precipitation estimates for runoff prediction in ungauged basins.

S. Sorooshian, H. Gupta, K. Hsu, 2005 .

A dynamic approach to the identification of conceptual hydrological models

Soroosh Sorooshian, Hoshin Vijai Gupta, Thorsten Wagener, 2002 .

Ensemble Streamflow Forecast Verification: Putting Research Into Practice

Soroosh Sorooshian, Daniel Brandon, Luis Teixeira, 2003 .

Evaluating Energy Balance Of Semiarid Rangeland From Combined Optical-microwave Remote Sensing

M. S. Moran, A. Huete, S. Sorooshian, 1993, Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing.

QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests

S. Sorooshian, A. Ye, K. Hsu, 2022, Water Resources Research.

Title Sensitivity of North American monsoon rainfall to multisource sea surface temperatures in MM 5 Permalink

S. Sorooshian, R. Maddox, L. J., 2005 .

Model Performance of Downscaling 1999–2004 Hydrometeorological Fields to the Upper Rio Grande Basin Using Different Forcing Datasets

S. Sorooshian, Xiaogang Gao, J. Li, 2008 .

Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin

S. Sorooshian, K. Hsu, P. Nguyen, 2020, Journal of Hydrometeorology.

Global Water Cycle (Fundamental, Theory, Mechanisms)

S. Sorooshian, T. Pagano, 2006 .

Relationship Between Atmospheric circulation and Snowpack in the Western United States

S. Sorooshian, N. Miller, Xiaogang Gao, 2008 .

Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia

S. Sorooshian, K. Hsu, R. Alharbi, 2018, Arabian Journal of Geosciences.

Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical–statistical forecasting

S. J. Davis, S. Sorooshian, K. Caldeira, 2022, Philosophical Transactions of the Royal Society A.

PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset.

S. Sorooshian, D. Bolvin, K. Hsu, 2020, Journal of hydrometeorology.

Real-time national GPS networks: Opportunities for atmospheric sensing

David N. Anderson, K. Droegemeier, S. Stein, 2000 .

The Impact of Catchment Modeling on Hydrologic Reliability

S. Sorooshian, 1987 .

The Application of PERSIANN Family Datasets for Hydrological Modeling

S. Sorooshian, P. Nguyen, C. Murphy, 2022, Remote. Sens..

Comparing machine learning and deep learning models for probabilistic post-processing of satellite precipitation-driven streamflow simulation

S. Sorooshian, A. Ye, K. Hsu, 2022 .

New Insights Into Error Decomposition for Precipitation Products

Phuong Thi Tuyet Nguyen, S. Sorooshian, A. Ye, 2021 .

Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019)

S. Sorooshian, M. Sadeghi, P. Nguyen, 2021 .

PERSIANN Dynamic Infrared–Rain Rate Model (PDIR) for High-Resolution, Real-Time Satellite Precipitation Estimation

S. Sorooshian, K. Hsu, P. Nguyen, 2020, Bulletin of the American Meteorological Society.

Title Comment on " Bayesian recursive parameter estimation for hydrologic models "

M. Trosset, S. Sorooshian, H. Gupta, 2003 .

Effective and Efficient Modeling for Streamflow Forecasting

Kuolin Hsu, S. Sorooshian, H. V. Gupta, 2000 .

CHAPTER 3 MODEL CALIBRATION IN WATERSHED HYDROLOGY

S. Sorooshian, H. Gupta, J. Vrugt, 2009 .

Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps

Kamalika Das, Soroosh Sorooshian, Ata Akbari Asanjan, 2020, KDD.

How much information on precipitation is contained in satellite infrared imagery?

S. Sorooshian, K. Hsu, P. Nguyen, 2021, Atmospheric Research.

Influence of irrigation on land hydrological processes over California

S. Sorooshian, A. Aghakouchak, Jialu Li, 2014 .

Dual state-parameter estimation of hydrological models using ensemble Kalman filter

Soroosh Sorooshian, Hoshin Vijai Gupta, Paul R. Houser, 2005 .

A new evolutionary search strategy for global optimization of high-dimensional problems

Wei Chu, Soroosh Sorooshian, Xiaogang Gao, 2011, Inf. Sci..

How well do CMIP5 climate simulations replicate historical trends and patterns of meteorological droughts?

T. Phillips, S. Sorooshian, C. Miao, 2015 .

Water Resource Conservation by Reducing Phreatophyte Transpiration 1

Robert, W., S. Sorooshian, 2012 .

Toward improved identifiability of hydrologic model parameters: The information content of experimental data

Soroosh Sorooshian, Willem Bouten, Hoshin Vijai Gupta, 2002 .

Object-Based Assessment of Satellite Precipitation Products

Kuolin Hsu, Soroosh Sorooshian, Jingjing Li, 2016, Remote. Sens..

The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data

Kuolin Hsu, Soroosh Sorooshian, Negin Hayatbini, 2019, Scientific Data.

Artificial Neural Network Modeling of the Rainfall‐Runoff Process

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 1995 .

The Estimation of Fluid Flow Properties from the Response of Water Levels in Wells to the Combined Atmospheric and Earth Tide Forces

S. Sorooshian, P. Hsieh, R. Ritzi, 1991 .

Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 2005 .

Development and validation of a new maximum likelihood criterion suitable for data collected at unequal time intervals

Soroosh Sorooshian, Qingyun Duan, R. P. Ibbitt, 1987 .

Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration

Soroosh Sorooshian, Hoshin Vijai Gupta, Patrice Ogou Yapo, 1999 .

PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies

S. Sorooshian, K. Hsu, M. Sadeghi, 2021, Scientific data.

An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

Qingyun Duan, N K Ajami, S Sorooshian, 2006 .

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information

Soroosh Sorooshian, Mojtaba Sadeghi, Phu Nguyen, 2020, Environ. Model. Softw..

Estimation of mountain front recharge to regional aquifers: 2. A Maximum Likelihood Approach incorporating prior information

S. Sorooshian, S. Davis, Adolfo Chavez, 1994 .

Estimation of mountain front recharge to regional aquifers: 1. Development of an Analytical Hydroclimatic Model

S. Sorooshian, S. Davis, Adolfo Chavez, 1994 .

Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods

Soroosh Sorooshian, Hoshin Vijai Gupta, Douglas P. Boyle, 2000 .

Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information

Soroosh Sorooshian, Hoshin Vijai Gupta, Patrice Ogou Yapo, 1998 .

Multi-objective global optimization for hydrologic models

Soroosh Sorooshian, Hoshin Vijai Gupta, Patrice Ogou Yapo, 1998 .

Leaf area index estimates using remotely sensed data and BRDF models in a semiarid region.

Yann Kerr, Soroosh Sorooshian, Alfredo Huete, 2000 .

An overview of the 1997 activities of the semi-arid land-surface-atmosphere (SALSA) program

W. J. Shuttleworth, J. Qi, A. Chehbouni, 1997 .

Evaluation of NASA's MERRA Precipitation Product in Reproducing the Observed Trend and Distribution of Extreme Precipitation Events in the United States

S. Sorooshian, M. Bosilovich, M. Wehner, 2016 .

Bias adjustment of infrared‐based rainfall estimation using Passive Microwave satellite rainfall data

Kuolin Hsu, Soroosh Sorooshian, Dan Braithwaite, 2017 .

Precipitation Prediction Skill for the West Coast United States: From Short to Extended Range

Kuolin Hsu, Soroosh Sorooshian, Amir AghaKouchak, 2018, Journal of Climate.

Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications

Qingyun Duan, Soroosh Sorooshian, Hoshin Vijai Gupta, 2019 .

Optimal use of the SCE-UA global optimization method for calibrating watershed models

Soroosh Sorooshian, Vijai Kumar Gupta, Qingyun Duan, 1994 .

One-dimensional snow water and energy balance model for vegetated surfaces

R. Dickinson, S. Sorooshian, Guoxiong Wu, 1999 .

Simulation of snow mass and extent in general circulation models

R. Dickinson, S. Sorooshian, G. Niu, 1999 .

Evaluation of satellite-based precipitation estimation over Iran

Kuolin Hsu, Soroosh Sorooshian, Nasrin Nasrollahi, 2013 .

Analysis of natural groundwater level variations for hydrogeologic conceptualization, Hanford Site, Washington

Soroosh Sorooshian, Donald R. Davis, S. Sorooshian, 1989 .

Self‐organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 2002 .

Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework

Soroosh Sorooshian, Qingyun Duan, Xiaohui Lei, 2018, Environ. Model. Softw..

Improving the multi-objective evolutionary optimization algorithm for hydropower reservoir operations in the California Oroville-Thermalito complex

Soroosh Sorooshian, Tiantian Yang, Xiaogang Gao, 2015, Environ. Model. Softw..

Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

Soroosh Sorooshian, Wang Dongsheng, Tiantian Yang, 2018, Journal of Hydrology.

Handling boundary constraints for particle swarm optimization in high-dimensional search space

Wei Chu, Soroosh Sorooshian, Xiaogang Gao, 2011, Inf. Sci..

Factors affecting seasonal forecast use in Arizona water management: A case study of the 1997-98 El Niño

Soroosh Sorooshian, Thomas C. Pagano, Holly Hartmann, 2002 .

Prediction of the outflow temperature of large-scale hydropower using theory-guided machine learning surrogate models of a high-fidelity hydrodynamics model

S. Sorooshian, Tiantian Yang, Junqiang Lin, 2022, Journal of Hydrology.

Simulating California reservoir operation using the classification and regression‐tree algorithm combined with a shuffled cross‐validation scheme

Soroosh Sorooshian, Xin Li, Tiantian Yang, 2015 .

Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

Soroosh Sorooshian, Tiantian Yang, Changming Liu, 2016 .

Merging high‐resolution satellite‐based precipitation fields and point‐scale rain gauge measurements—A case study in Chile

S. Sorooshian, K. Hsu, D. Braithwaite, 2017 .

Bias adjustment of satellite‐based precipitation estimation using gauge observations: A case study in Chile

Kuolin Hsu, Soroosh Sorooshian, Koen Verbist, 2016 .

Operational snow modeling: Addressing the challenges of an energy balance model for National Weather Service forecasts

Soroosh Sorooshian, Terri S. Hogue, Kristie J. Franz, 2008 .

Modeling and Analysis of the Variability of the Water Cycle in the Upper Rio Grande Basin at High Resolution

S. Sorooshian, Xiaogang Gao, Jingjing Li, 2007 .

U.S. CONTRIBUTIONS TO THE CEOP

Kuolin Hsu, Soroosh Sorooshian, Matthew Rodell, 2006 .

GEWEX AT THE 2004 JOINT SCIENTIFIC COMMITTEE MEETING

S. Sorooshian, 2004 .

Sensitivity analysis of a land surface scheme using multicriteria methods

Soroosh Sorooshian, Zong-Liang Yang, Hoshin Vijai Gupta, 1999 .

Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network

Soroosh Sorooshian, Yang Hong, Jiangtao Cheng, 2007 .

The PERSIANN family of global satellite precipitation data: a review and evaluation of products

Soroosh Sorooshian, Phu Nguyen, Amir AghaKouchak, 2018, Hydrology and Earth System Sciences.

Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG)

Soroosh Sorooshian, David T. Bolvin, George J. Huffman, 2020, Advances in Global Change Research.

Discrepancies in changes in precipitation characteristics over the contiguous United States based on six daily gridded precipitation datasets

S. Sorooshian, A. A. Asanjan, P. Nguyen, 2022, Weather and Climate Extremes.

Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling

Kuolin Hsu, Soroosh Sorooshian, Aizhong Ye, 2021, Remote. Sens..

Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran

Soroosh Sorooshian, Ata Akbari Asanjan, Matin Rahnamay Naeini, 2020, Remote. Sens..

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS

Sangram Ganguly, Ramakrishna R. Nemani, Soroosh Sorooshian, 2020, Remote. Sens..

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

Soroosh Sorooshian, Mojtaba Sadeghi, Kuolin Hsu, 2019, Remote. Sens..

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN

Charless C. Fowlkes, Charless Fowlkes, Negin Hayatbini, 2019, Remote. Sens..

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS pdf

Soroosh Sorooshian, Negin Hayatbini, Fuqing Zhang, 2018, Journal of Hydrometeorology.

Rainfall frequency analysis for ungauged regions using remotely sensed precipitation information

Kuolin Hsu, Soroosh Sorooshian, Tiantian Yang, 2018, Journal of Hydrology.

A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information

Kuolin Hsu, Soroosh Sorooshian, Alexander T. Ihler, 2018 .

Rainfall frequency analysis for ungauged sites using satellite precipitation products

Kuolin Hsu, Soroosh Sorooshian, S. Sorooshian, 2017 .

Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR

Kuolin Hsu, Soroosh Sorooshian, Xiaogang Gao, 2017 .

Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches

A. Ihler, S. Sorooshian, Xiaogang Gao, 2017 .

Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow

Kuolin Hsu, Soroosh Sorooshian, Phu Nguyen, 2016 .

A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products

A. Ihler, S. Sorooshian, Xiaogang Gao, 2016 .

Evaluating several satellite precipitation estimates and global ground-based dataset on Sicily (Italy)

Soroosh Sorooshian, Leonardo V. Noto, Francesco Lo Conti, 2012, Remote Sensing.

Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation

S. Sorooshian, K. Hsu, A. Behrangi, 2012 .

REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates

Kuolin Hsu, Soroosh Sorooshian, Ali Behrangi, 2010 .

LMODEL: A Satellite Precipitation Methodology Using Cloud Development Modeling. Part II: Validation

Kuolin Hsu, Soroosh Sorooshian, Tim Bellerby, 2009 .

Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States

Kuolin Hsu, Soroosh Sorooshian, Wei Shi, 2009 .

Satellite-Based Precipitation Measurement Using PERSIANN System

Kuolin Hsu, Soroosh Sorooshian, S. Sorooshian, 2009 .

Satellite‐based precipitation estimation using watershed segmentation and growing hierarchical self‐organizing map

Kuolin Hsu, Soroosh Sorooshian, Yang Hong, 2006 .

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

Y. Hong, S. Sorooshian, Xiaogang Gao, 2005 .

Board of Associate Editors

A. M. Madni, Lofti A. Zadeh, G. Bekey, 2010 .

SATELLITE AND GPCP DATA SHOW CO-VARIABILITY OF AEROSOLS AND PRECIPITATION OVER THE INDIAN MONSOON REGION Newsletter

S. Sorooshian, 2008 .

Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method

Soroosh Sorooshian, Hamid Moradkhani, Caleb Matthew DeChant, 2012 .

Quantifying the reliability of four global datasets for drought monitoring over a semiarid region

Soroosh Sorooshian, Nasrin Nasrollahi, Pari-Sima Katiraie-Boroujerdy, 2015, Theoretical and Applied Climatology.

Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

Soroosh Sorooshian, Hoshin Vijai Gupta, Thorsten Wagener, 2006 .

Hydrological modelling and the water cycle : coupling the atmospheric and hydrological models

Soroosh Sorooshian, S. Sorooshian, 2008 .

Hydrological Modelling in Arid and Semi-Arid Areas

Soroosh Sorooshian, Howard Wheater, K. D. Sharma, 2007 .

Day 1 for the Integrated Multi-Satellite Retrievals for GPM (IMERG) Data Sets

S. Sorooshian, P. Xie, G. Huffman, 2014 .

A Model Tree Generator (MTG) Framework for Simulating Hydrologic Systems: Application to Reservoir Routing

Soroosh Sorooshian, Tiantian Yang, Amir AghaKouchak, 2020, Water.

Model Climatology of the North American Monsoon Onset Period during 1980-2001

S. Sorooshian, Xiaogang Gao, E. Small, 2004 .

Development of a Hydrochemical Model for Seasonally Snow-Covered Alpine Watersheds: Application to Emerald Lake Watershed, Sierra Nevada, California

Soroosh Sorooshian, Roger C. Bales, S. Sorooshian, 1996 .

Evaluation for Moroccan dynamically downscaled precipitation from GCM CHAM5 and its regional hydrologic response

S. Sorooshian, F. Driouech, K. Hsu, 2015 .

Model Parameter Estimation Experiment (MOPEX): Overview and Summary of the Second and Third Workshop Results

S. Sorooshian, L. Hay, H. Gupta, 2005 .

Reply to comment by K. Beven and P. Young on “Bayesian recursive parameter estimation for hydrologic models”

Soroosh Sorooshian, Hoshin V. Gupta, Michael W. Trosset, 2003 .

Reply [to “Comment on ‘Identification of water demand models from noisy data’ by Lov Kumar Kher and Soroosh Sorooshian”]

L. K. Kher, S. Sorooshian, 1987 .

Identification of Water Demand Models From Noisy Data

L. K. Kher, S. Sorooshian, 1986 .

Snow Model Verification Using Ensemble Prediction and Operational Benchmarks

Soroosh Sorooshian, Terri S. Hogue, Kristie J. Franz, 2008 .

Relationship between atmospheric circulation and snowpack in the western USA

S. Sorooshian, N. Miller, Xiaogang Gao, 2006 .

Relationship Between Atmospheric circulation and Snowpack in theWestern United States

S. Sorooshian, N. Miller, Xiaogang Gao, 2004 .

Impacts of model calibration on high-latitude land-surface processes: PILPS 2(e) calibration/validation experiments

S. Sorooshian, Jiming Jin, X. Gao, 2003 .

Improved streamflow forecasting using self-organizing radial basis function artificial neural networks

Kuolin Hsu, Soroosh Sorooshian, Hoshin Vijai Gupta, 2004 .

Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR

Soroosh Sorooshian, Pari-Sima Katiraie-Boroujerdy, S. Sorooshian, 2017, Theoretical and Applied Climatology.

USING CLIMATE FORECASTS FOR WATER MANAGEMENT: ARIZONA AND THE 1997–1998 EL NIÑO 1

Soroosh Sorooshian, Thomas C. Pagano, Holly Hartmann, 2001 .

The challenge of predicting flash floods from thunderstorm rainfall

S. Sorooshian, Xiaogang Gao, L. Bastidas, 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

Model Complexity Required to Maintain Hydrologic Response

D. A. Woolhiser, Soroosh Sorooshian, David C. Goodrich, 1988 .

Parameter Estimation, Model Identification, and Model Validation: Conceptual-Type Models

Soroosh Sorooshian, S. Sorooshian, 1991 .

Verification of Probabilistic Quantitative Precipitation Forecasts over the Southwest United States during Winter 2002/03 by the RSM Ensemble System

Soroosh Sorooshian, Huiling Yuan, Xiaogang Gao, 2005 .

WATER DISTRIBUTION AND AVAILABILITY AN OVERVIEW OF CLIMATE CHANGE IMPACTS ON WATER RESOURCES

S. Sorooshian, B. Imam, 2013 .

Water and energy cycles : investigating the links

S. Sorooshian, R. G. Lawford, S. Sorooshian, 2005 .

A sequential Bayesian approach for hydrologic model selection and prediction

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2009 .

Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model

S. Sorooshian, H. Gupta, S. Dekker, 2006, Journal of Hydrology.

Topographic hydro-conditioning to resolve surface depression storage and ponding in a fully distributed hydrologic model

S. Sorooshian, B. Sanders, K. Hsu, 2023, Advances in Water Resources.

GEWEX STUDIES OF AMERICAN MONSOON SYSTEMS TWO HEMISPHERES WITH SIMILAR MONSOON

S. Sorooshian, 2005 .

Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model

S. Sorooshian, K. Hsu, Yangbo Chen, 2019, Hydrology and Earth System Sciences.

The relationship between data and the precision of parameter estimates of hydrologic models

Soroosh Sorooshian, Vijai Kumar Gupta, S. Sorooshian, 1985 .

A framework for development and application of hydrological models

Soroosh Sorooshian, Hoshin Vijai Gupta, Thorsten Wagener, 2001, Hydrology and Earth System Sciences.

Complexity of hydrologic basins: A chaotic dynamics perspective

S. Sorooshian, K. Hsu, P. Nguyen, 2021 .

Toward Improved Hydrologic Prediction with Reduced Uncertainty Using Sequential Multi-Model Combination

Kuolin Hsu, Soroosh Sorooshian, Hamid Moradkhani, 2008 .

An Object-Oriented Approach to Investigate Impacts of Climate Oscillations on Precipitation: A Western United States Case Study

Soroosh Sorooshian, Scott Sellars, S. Sorooshian, 2015 .

Assessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations

S. Sorooshian, Xiaogang Gao, K. Hsu, 2012 .

Hydrological Modelling and the Water Cycle

Kuolin Hsu, Soroosh Sorooshian, Guido Visconti, 2008 .

Estimation of surface longwave radiation components from ground-based historical net radiation and weather data

S. Sorooshian, Xiaogang Gao, G. Park, 2008 .

Surface water hydrology: On‐line estimation

Soroosh Sorooshian, S. Sorooshian, 1983 .

Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks

Soroosh Sorooshian, Kuolin Hsu, Ata Akbari Asanjan, 2018, Journal of Geophysical Research: Atmospheres.

An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis

Soroosh Sorooshian, Negin Hayatbini, Tiantian Yang, 2017, Inf. Sci..

Parameter, Structure, and Model Performance Evaluation for Land‐Surface Schemes

S. Sorooshian, H. Gupta, L. Bastidas, 2013 .

Global Precipitation Trends across Spatial Scales Using Satellite Observations

Kuolin Hsu, Soroosh Sorooshian, Amir AghaKouchak, 2017 .

Computational Earth Science: Big Data Transformed Into Insight

Kuolin Hsu, Soroosh Sorooshian, Xiaogang Gao, 2013 .

A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization

Wei Chu, Soroosh Sorooshian, Xiaogang Gao, 2011, IEEE Systems Journal.

Soil moisture–precipitation feedback on the North American monsoon system in the MM5‐OSU model

S. Sorooshian, E. Small, Jianjun Xu, 2004 .

Model study of soil-moisture influence on precipitation seesaw in the southern United States

S. Sorooshian, Xiaogang Gao, Jianjun Xu, 2004 .

Short-Term Performance of MM5 with Cloud-Cover Assimilation from Satellite Observations

W. J. Shuttleworth, S. Sorooshian, Xiaogang Gao, 2003 .

Self-Organizing Linear Output (SOLO) Approach for Managing Total Coliform Indicator Bacteria on California Beaches

S. Sorooshian, H. Bae, 2011 .

Consistency of spatial patterns of the daily precipitation field in the western United States and its application to precipitation disaggregation

T. Phillips, S. Sorooshian, Xiaogang Gao, 2011 .

Hydrologic sciences and water resources management issues in a changing world

S. Sorooshian, T. Pagano, S. Mahani, 2003 .

SEASONAL FORECASTS AND WATER MANAGEMENT IN ARIZONA: A CASE STUDY OF THE 1997-98 EL NIÑO EVENT

S. Sorooshian, T. Pagano, H. Hartmann, 1999 .

Scientific Verification of Deterministic River Stage Forecasts

Soroosh Sorooshian, Edwin Welles, S. Sorooshian, 2009 .

Weather, Climate, and Hydrologic Forecasting for the Southwest U.S.

S. Sorooshian, R. Bales, H. Hartmann, 1999 .

Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset

Negin Hayatbini, Soroosh Sorooshian, Mojtaba Sadeghi, 2020, Remote. Sens..

A chaotic approach to rainfall disaggregation

Soroosh Sorooshian, Bellie Sivakumar, Hoshin Vijai Gupta, 2001 .

The role of hydrograph indices in parameter estimation of rainfall–runoff models

Soroosh Sorooshian, Hoshin V. Gupta, Bisher Imam, 2005 .

Improving the shuffled complex evolution scheme for optimization of complex nonlinear hydrological systems: Application to the calibration of the Sacramento soil‐moisture accounting model

Soroosh Sorooshian, Xiaogang Gao, S. Sorooshian, 2010 .

A shuffled Complex Evolution Metropolis algorithm for confronting parameter uncertainty in hydrologic modeling

Soroosh Sorooshian, Willem Bouten, Hoshin Vijai Gupta, 2004 .

Advancing the Remote Sensing of Precipitation

Jan M. H. Hendrickx, Soroosh Sorooshian, Russell S. Harmon, 2011 .

Multi-Model Combination Techniques for Hydrological Forecasting: Application to Distributed Model Intercomparison Project Results

Soroosh Sorooshian, Newsha K. Ajami, Xiaogang Gao, 2005 .

Advances in Precipitation Retrieval and A pplications from Low Earth Orbiting Satellite Information

Phuong Thi Tuyet Nguyen, S. Sorooshian, K. Hsu, 2023, Bulletin of the American Meteorological Society.

Influence of irrigation schemes used in regional climate models on evapotranspiration estimation: Results and comparative studies from California's Central Valley agricultural regions

S. Sorooshian, Xiaogang Gao, K. Hsu, 2012 .

Influence of Spatial Resolution on Diurnal Variability during the North American Monsoon

S. Sorooshian, W. Higgins, Xiaogang Gao, 2008 .

Model study of evolution and diurnal variations of rainfall in the North American monsoon during June and July 2002

S. Sorooshian, Xiaogang Gao, J. Li, 2004 .

Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States

S. Sorooshian, Q. Xiao, Jianjun Xu, 2004 .

Assessment of seven CMIP5 model precipitation extremes over Iran based on a satellite‐based climate data set

S. Sorooshian, K. Hsu, Pari-Sima Katiraie-Boroujerdy, 2019, International Journal of Climatology.

Changes in the global water cycle

F. Giorgi, S. Sorooshian, D. Lettenmaier, 2009 .

Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations

S. Sorooshian, K. Hsu, B. Analui, 2023, Hydrology and Earth System Sciences.

Modeling Intraseasonal Features of 2004 North American Monsoon Precipitation

S. Sorooshian, Xiaogang Gao, J. Li, 2007 .

Sensitivity of North American Monsoon Rainfall to Multisource Sea Surface Temperatures in MM5

S. Sorooshian, Xiaogang Gao, J. Li, 2005 .

to the

S. Sorooshian, Y. Nouvellon, S. Rambal, 2000 .

Flood forecasting in large karst river basin by coupling PERSIANN CCS QPEs with a physically based distributed hydrological model

S. Sorooshian, K. Hsu, Yangbo Chen, 2018 .

Multi-objective global optimization for hydrologic models

S. Sorooshian, Patrice Ogou Yapo, H. Gupta, 1998 .

Hydrological Projections under CMIP5 and CMIP6: Sources and Magnitudes of Uncertainty

S. Sorooshian, X. Fan, Yi Wu, 2024, Bulletin of the American Meteorological Society.

Improving Cascade Reservoir Inflow Forecasting and Extracting Insights by Decomposing the Physical Process Using a Hybrid Model

S. Sorooshian, K. Hsu, B. Analui, 2024, Journal of Hydrology.

The Trials and Tribulations of Modeling and Measuring in Surface Water Hydrology

S. Sorooshian, 1997 .

Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States

S. Sorooshian, K. Hsu, W. Shi, 2009 .

A predictive demand model for systems planning, using noisy realization theory

Soroosh Sorooshian, Lov Kumar Kher, L. K. Kher, 1988, Autom..

A METHOD TO ESTIMATE SPECTRAL RADIATION COMPONENTS FROM SURFACE NET RADIATION, USING LONG-TERM CLOUD OBSERVATIONS

S. Sorooshian, Xiaogang Gao, G. Park, 2001 .

Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval

S. Sorooshian, K. Hsu, M. Arulraj, 2023, Journal of Hydrometeorology.

A preliminary synthesis of major scientific results during the SALSA program

A. Chehbouni, Y. Kerr, S. Sorooshian, 2000 .

Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response

Y. Hong, S. Sorooshian, H. Moradkhani, 2004 .

Satellite-based precipitation error propagation in the hydrological modeling chain across China

S. Sorooshian, Jiaojiao Gou, Xiao-Yin Guo, 2024, Journal of Hydrology.

Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting

S. Sorooshian, H. Moradkhani, K. Hsu, 2006 .

An object-based approach for verification of precipitation estimation

Jingjing Li, Kuolin Hsu, Amir AghaKouchak, 2015 .

Projected impacts of climate change on major dams in the Upper Yangtze River Basin

S. Sorooshian, K. Hsu, I. Mallakpour, 2022, Climatic Change.