Results 11 to 20 of about 1,454 (169)
The PERSIANN family of global satellite precipitation data: a review and evaluation of products [PDF]
Hydrology and Earth System Sciences, 2018 Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products.
P. Nguyen +9 more
doaj +8 more sources
Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China [PDF]
Remote Sensing, 2019 Satellite-based precipitation products, especially those with high temporal and spatial resolution, constitute a potential alternative to sparse rain gauge networks for multidisciplinary research and applications.
Guojie Wang, Yang Zhou, Haishan Chen
exaly +6 more sources
Journal of HydroinformaticsEffective management of water resources is heavily dependent on accurate knowledge of rainfall patterns. Satellite rainfall estimates (SREs) have become increasingly popular due to their ability to provide spatial rainfall data.
Anas Al-Sharman
exaly +4 more sources
Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros [PDF]
مدیریت بیابان, 2020 Rainfall is one of the most important environmental factors affecting the density and canopy cover percentage of plant species, erosion, and natural hazard status and its measurement is important for achieving appropriate water management.
Leila Ghorbani +2 more
doaj +3 more sources
Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR
Journal of Hydrometeorology, 2017 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 behavior of daily extreme precipitation estimates globally.
Hamed Ashouri +8 more
core +2 more sources
The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. [PDF]
Sci Data, 2019 The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based precipitation datasets generated by our Precipitation Estimation from Remotely Sensed ...
Nguyen P +12 more
europepmc +7 more sources
International Journal of Applied Earth Observations and Geoinformation, 2021 This study evaluates the performance of five satellite precipitation products (SPPs) from the Precipitation Remotely Sensed Information using Artificial Neural Networks (PERSIANN) family for depicting precipitation changes in Taiwan over multiple ...
Wan-Ru Huang, Pin-Yi Liu, Jie Hsu
doaj +4 more sources
Atmosphere, 2023 Near-real-time satellite precipitation estimation is indispensable in areas where ground-based measurements are not available. In this study, an evaluation of two near-real-time products from the Center for Hydrometeorology and Remote Sensing at the ...
Claudia Jimenez Arellano +4 more
doaj +2 more sources
Advances in Meteorology, 2021 This study evaluated three satellite precipitation products, namely, TRMM, CMORPH, and PERSIANN, over the Three Gorges Reservoir area in China at multiple timescales.
Tianyu Zhang +3 more
doaj +2 more sources
Evaluation of Precipitation Data using CHIRPS and PERSIANN Models (Case Study: Bandar Abbas) [PDF]
علوم آب و خاک, 2023 Access to large precipitation data with appropriate accuracy can play an effective role in irrigation planning and water resources management. Satellite images generate high, wide, cheap, and up-to-date data is a good way to estimate precipitation.
H. siasar, A. Salari
doaj +1 more source