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 +5 more sources
Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau [PDF]
Hydrology and Earth System Sciences, 2017 On the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow for a better coverage than both radar network and rain
X. Liu +4 more
doaj +8 more sources
The Application of PERSIANN Family Datasets for Hydrological Modeling [PDF]
Remote Sensing, 2022 This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for hydrological modeling over the Russian River catchment in California in the United States as a case study.
Hossein Salehi +5 more
doaj +2 more sources
Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR
Journal of Hydrometeorology, 2017 Abstract 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. The daily long-term historical global PERSIANN-CDR allows for a global investigation of eight precipitation indices ...
Xiaogang Gao +8 more
openaire +2 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
Comprehensive Analysis of PERSIANN Products in Studying the Precipitation Variations over Luzon
Remote Sensing, 2022 This study evaluated the capability of satellite precipitation estimates from five products derived from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (including PERSIANN, PERSIANN-CCS, PERSIANN-CDR, PERSIANN ...
Jie Hsu, Wan-Ru Huang, Pin-Yi Liu
doaj +2 more sources
A COMPARISON OF SIMULATED RUNOFF BASED ON GROUND RAIN GAUGES AND PERSIANN-CDR SATELLITE PRECIPITATION RECORDS USING SWAT MODEL [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Easy access to valid climatic data has always played a fundamental role in progressing hydrological studies. That is why numerous satellite-based precipitation products (SPPs) have been generated in the contemporary era.
A. Barezaei, J. Jalali
doaj +3 more sources
Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]
Atmospheric Research, 2017 Abstract In the first part of this paper, monthly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission 3B42 algorithm Version 7 (TRMM-3B42V7) are evaluated over Iran using the Generalized Three-Cornered Hat (GTCH ...
Katiraie-Boroujerdy, Pari-Sima +3 more
openaire +5 more sources
Padrões de precipitação no Sul da Amazônia baseado no PERSIANN-CDR: Características e tendências
, 2017 Precipitation is a key climatic parameter for many anthropogenic activities, especially agriculture. Yet, its homogeneous and continuous monitoring remains challenging. That is particularly true for the Amazon region, which is sparsely inhabited and has a low density of ground-based rain gauge network.
Arvor, Damien +3 more
core +10 more sources