Results 1 to 10 of about 356 (58)
The Application of PERSIANN Family Datasets for Hydrological Modeling
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.
Saeed Golian +2 more
exaly +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 ...
Wan-Ru Huang, Pin-Yi Liu
exaly +3 more sources
Remote Sensing, 2022 In this study, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) was evaluated for the assessment of long-term drought monitoring in Huaihe River Basin using daily gauge ...
Yehui Zhang, Na Yang
exaly +3 more sources
Journal of Water and Climate Change, 2023 Satellite-based precipitation products, with simultaneously high spatial and temporal resolutions, are mostly needed to assess climate change repercussions.
Mohamed Elmehdi Saïdi +2 more
exaly +3 more sources
Remote Sensing, 2023 Accurate and continuous rainfall monitoring is essential for effective water resources management, especially in arid and semi-arid regions such as the United Arab Emirates (UAE).
Mohsen Sherif, Haonan Chen, Faisal Baig
exaly +3 more sources
Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China
Remote Sensing, 2018 Satellite products can provide spatiotemporal data on precipitation in ungauged basins. It is essential and meaningful to assess and correct these products.
Jiangtao Liu, Jiangtao Liu, Dingzhi Peng
exaly +3 more sources
Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation Over Huai River Basin, China
Remote Sensing, 2021 Assessing satellite-based precipitation product capacity for detecting precipitation and linear trends is fundamental for accurately knowing precipitation characteristics and changes, especially for regions with scarce and even no observations.
Guojie Wang, Shanlei Sun, Guojie Wang
exaly +3 more sources
Remote Sensing, 2020 In this study, the performances of four satellite-based precipitation products (IMERG-V06 Final-Run, TRMM-3B42V7, SM2Rain-ASCAT, and PERSIANN-CDR) were assessed with reference to the measurements of in-situ gauges at daily, monthly, seasonal, and annual ...
Muhammad Azam +2 more
exaly +3 more sources
Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring Over China
Remote Sensing, 2016 In this paper, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) is analyzed for the assessment of meteorological drought.
Felix Ndayisaba, Sheng Chen, Anming Bao
exaly +3 more sources
Hydrological Evaluation of PERSIANN-CDR Rainfall Over Upper Senegal River and Bani River Basins
Remote Sensing, 2018 This study highlights the advantage of satellite-derived rainfall products for hydrological modeling in regions of insufficient ground observations such as West African basins.
Carlos Diaz-Delgado +2 more
exaly +3 more sources