Search Results - "Sorooshian, Soroosh"

Improving Precipitation Estimation Using Convolutional Neural Network by Pan, Baoxiang, Hsu, Kuolin, AghaKouchak, Amir, Sorooshian, Soroosh

“…Precipitation process is generally considered to be poorly represented in numerical weather/climate models. Statistical downscaling (SD) methods, which relate…”
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A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons by Sun, Qiaohong, Miao, Chiyuan, Duan, Qingyun, Ashouri, Hamed, Sorooshian, Soroosh, Hsu, Kuo‐Lin

“…In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation data sets, including…”
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Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information by Yang, Tiantian, Asanjan, Ata Akbari, Welles, Edwin, Gao, Xiaogang, Sorooshian, Soroosh, Liu, Xiaomang

“…Reservoirs are fundamental human‐built infrastructures that collect, store, and deliver fresh surface water in a timely manner for many purposes. Efficient…”
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Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm by Zhang, Di, Lin, Junqiang, Peng, Qidong, Wang, Dongsheng, Yang, Tiantian, Sorooshian, Soroosh, Liu, Xuefei, Zhuang, Jiangbo

“…•Deep learning models are useful tools to assist decision making in reservoir operation.•The long short-term memory model is suitable for reservoir outflow…”
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PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies by Sadeghi, Mojtaba, Nguyen, Phu, Naeini, Matin Rahnamay, Hsu, Kuolin, Braithwaite, Dan, Sorooshian, Soroosh

“…Accurate long-term global precipitation estimates, especially for heavy precipitation rates, at fine spatial and temporal resolutions is vital for a wide…”
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The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data by Nguyen, Phu, Shearer, Eric J., Tran, Hoang, Ombadi, Mohammed, Hayatbini, Negin, Palacios, Thanh, Huynh, Phat, Braithwaite, Dan, Updegraff, Garr, Hsu, Kuolin, Kuligowski, Bob, Logan, Will S., Sorooshian, Soroosh

“…The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed…”
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PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks by Sadeghi, Mojtaba, Asanjan, Ata Akbari, Faridzad, Mohammad, Nguyen, Phu, Hsu, Kuolin, Sorooshian, Soroosh, Braithwaite, Dan

“…Accurate and timely precipitation estimates are critical for monitoring and forecasting natural disasters such as floods. Despite having high-resolution…”
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A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information by Tao, Yumeng, Hsu, Kuolin, Ihler, Alexander, Gao, Xiaogang, Sorooshian, Soroosh

“…Compared to ground precipitation measurements, satellite-based precipitation estimation products have the advantage of global coverage and high spatiotemporal…”
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The PERSIANN family of global satellite precipitation data: a review and evaluation of products by Nguyen, Phu, Ombadi, Mohammed, Sorooshian, Soroosh, Hsu, Kuolin, AghaKouchak, Amir, Braithwaite, Dan, Ashouri, Hamed, Thorstensen, Andrea Rose

“…Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural…”
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Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network by Miao, Qinghua, Pan, Baoxiang, Wang, Hao, Hsu, Kuolin, Sorooshian, Soroosh

“…Precipitation downscaling is widely employed for enhancing the resolution and accuracy of precipitation products from general circulation models (GCMs). In…”
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A high resolution coupled hydrologic–hydraulic model (HiResFlood-UCI) for flash flood modeling by Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Hsu, Kuolin, AghaKouchak, Amir, Sanders, Brett, Koren, Victor, Cui, Zhengtao, Smith, Michael

“…•We developed HiResFlood-UCI model for flash flood modeling.•We proposed a method for designing an efficient mesh for hydraulic modeling.•We examined the model…”
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PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies by Ashouri, Hamed, Hsu, Kuo-Lin, Sorooshian, Soroosh, Braithwaite, Dan K., Knapp, Kenneth R., Cecil, L. Dewayne, Nelson, Brian R., Prat, Olivier P.

“…A new retrospective satellite-based precipitation dataset is constructed as a climate data record for hydrological and climate studies. Precipitation…”
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An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction by Ajami, N.K, Duan, Q, Sorooshian, S

“…1 The conventional treatment of uncertainty in rainfall-runoff modeling primarily attributes uncertainty in the input-output representation of the model to…”
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PERSIANN Dynamic Infrared–Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset by Nguyen, Phu, Ombadi, Mohammed, Gorooh, Vesta Afzali, Shearer, Eric J., Sadeghi, Mojtaba, Sorooshian, Soroosh, Hsu, Kuolin, Bolvin, David, Ralph, Martin F.

“…This study presents the Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Dynamic Infrared Rain Rate (PDIR-Now)…”
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Influence of irrigation on land hydrological processes over California by Sorooshian, Soroosh, AghaKouchak, Amir, Li, Jialun

“…In this study, a regional climate model (RCM) is employed to investigate the effect of irrigation on hydrology over California through implementing a…”
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Projected impacts of climate change on major dams in the Upper Yangtze River Basin by Qin, Pengcheng, Xu, Hongmei, Liu, Min, Liu, Lüliu, Xiao, Chan, Mallakpour, Iman, Naeini, Matin Rahnamay, Hsu, Kuolin, Sorooshian, Soroosh

“…Dams and reservoirs are essential infrastructures for water resources development and management. However, the performance and safety of dams depend on the…”
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The Application of PERSIANN Family Datasets for Hydrological Modeling by Salehi, Hossein, Sadeghi, Mojtaba, Golian, Saeed, Nguyen, Phu, Murphy, Conor, Sorooshian, Soroosh

“…This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for…”
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Unveiling four decades of intensifying precipitation from tropical cyclones using satellite measurements by Shearer, Eric J., Afzali Gorooh, Vesta, Nguyen, Phu, Hsu, Kuo-Lin, Sorooshian, Soroosh

“…Increases in precipitation rates and volumes from tropical cyclones (TCs) caused by anthropogenic warming are predicted by climate modeling studies and have…”
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Handling boundary constraints for particle swarm optimization in high-dimensional search space by Chu, Wei, Gao, Xiaogang, Sorooshian, Soroosh

“…Despite the fact that the popular particle swarm optimizer (PSO) is currently being extensively applied to many real-world problems that often have…”
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Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling by Zhang, Yuhang, Ye, Aizhong, Nguyen, Phu, Analui, Bita, Sorooshian, Soroosh, Hsu, Kuolin

“…Satellite precipitation estimates (SPEs) are promising alternatives to gauge observations for hydrological applications (e.g., streamflow simulation),…”
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