Search Results - "Ashouri, Hamed"

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…”
Get full text

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…”
Get full text

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…”
Get full text

Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow by Ashouri, Hamed, Nguyen, Phu, Thorstensen, Andrea, Hsu, Kuo-Lin, Sorooshian, Soroosh, Braithwaite, Dan

“…This study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data…”
Get full text

Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China by Miao, Chiyuan, Ashouri, Hamed, Hsu, Kuo-Lin, Sorooshian, Soroosh, Duan, Qingyun

“…This study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed…”
Get full text

Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR by Katiraie-Boroujerdy, Pari-Sima, Ashouri, Hamed, Hsu, Kuo-lin, Sorooshian, Soroosh

“…In this study, satellite-based daily precipitation estimation data from precipitation estimation from remotely sensed information using artificial neural…”
Get full text

Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR by Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Zhu, Qian, Tran, Hoang, Ashouri, Hamed, Miao, Chiyuan, Hsu, Kuolin, Gao, Xiaogang

“…The purpose of this study is to use the PERSIANN–Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the…”
Get full text

Global Precipitation Trends across Spatial Scales Using Satellite Observations by Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Hsu, Kuolin, Aghakouchak, Amir, Ashouri, Hamed, Tran, Hoang, Braithwaite, Dan

“…Little dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding…”
Get full text

Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model by Fouladi Osgouei, Hojjatollah, Zarghami, Mahdi, Ashouri, Hamed

“…The availability of spatial, high-resolution rainfall data is one of the most essential needs in the study of water resources. These data are extremely…”
Get full text

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

“…Not provided…”
Get full text

Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR by Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Zhu, Qian, Tran, Hoang, Ashouri, Hamed, Miao, Chiyuan, Hsu, KuoLin, Gao, Xiaogang

“…The purpose of this study is to use the PERSIANN-Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the…”
Get full text

Evaluation of NASA’s MERRA Precipitation Product in Reproducing the Observed Trend and Distribution of Extreme Precipitation Events in the United States by Ashouri, Hamed, Sorooshian, Soroosh, Hsu, Kuo-Lin, Bosilovich, Michael G., Lee, Jaechoul, Wehner, Michael F., Collow, Allison

“…This study evaluates the performance of NASA’s Modern-Era Retrospective Analysis for Research and Applications (MERRA) precipitation product in reproducing the…”
Get full text

EXPLORING TRENDS THROUGH “RAINSPHERE”: Research Data Transformed into Public Knowledge by Nguyen, Phu, Sorooshian, Soroosh, Thorstensen, Andrea, Tran, Hoang, Huynh, Phat, Pham, Thanh, Ashouri, Hamed, Hsu, Kuolin, AghaKouchak, Amir, Braithwaite, Dan

“…With automatically generated time series, spatial plots, and basic trend analysis, users can swiftly explore historical precipitation estimates and future…”
Get full text

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…”
Get full text

Toward Improved Understanding of Global Precipitation Variations Using Satellite-based Observations by Ashouri, Hamed

“…Precipitation is one of the key elements of the Earth's water cycle. Long-term precipitation observations in global scale and at high spatial and temporal…”
Get full text

Assessment of the impacts of nonstationarity on watershed runoff using artificial neural networks: a case study in Ardebil, Iran by Javan, Kazem, Lialestani, Mohammad Reza Fallah Haghgoo, Ashouri, Hamed, Moosavian, Naser

“…The purpose of this study is to investigate the impacts of climate change on the runoff of Gharehsoo River Basin in the northwest of Iran. In this research,…”
Get full text

PERSIANN-CDR: daily precipitation climate data record from multisatellite observations for hydrological and climate studies: developing the PERSIANN-CDR rainfall estimation algorithm and applying it to historical multisatellite observations produces a long-term dataset that can be used to study the water cycle at higher resolutions than previously possible by Ashouri, Hamed, Hsu, Kuo-Lin, Sorooshian, Soroosh, Braithwaite, Dan K, Knapp, Kenneth R, Cecil, L. Dewayne, Nelson, Brian R, Prat, Olivier P

Get full text

Toward Improved Understanding of Global Precipitation Variations Using Satellite-based Observations by Ashouri, Hamed

“…Precipitation is one of the key elements of the Earth's water cycle. Long-term precipitation observations in global scale and at high spatial and temporal…”
Get full text