Results 1 to 10 of about 2,560 (196)
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.
Hossein Salehi +5 more
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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
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Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China [PDF]
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.
Hao Guo +4 more
doaj +5 more sources
A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0 [PDF]
Scientific DataPERSIANN-CCS-CDR is a global precipitation dataset with 0.04° spatial and 3 hourly temporal resolution starting from 1983. However, producing reliable information proved to be a challenging task, primarily due to inconsistencies in input data (e.g ...
Mohammad Bolboli Zadeh +5 more
doaj +2 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 +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 ...
Na Yang +4 more
doaj +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.
Adam Najmi +6 more
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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).
Faisal Baig +3 more
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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 +4 more
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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 ...
Ali Hamza +7 more
doaj +3 more sources