Results 1 to 10 of about 270 (110)
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
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
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
doaj +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.
Shanlei Sun +4 more
doaj +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 +4 more
doaj +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 ...
Ali Hamza +7 more
doaj +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.
Hao Guo +4 more
doaj +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.
Khalidou M. Bâ +5 more
doaj +3 more sources
Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China
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.
Shanlei Sun +9 more
doaj +3 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.
Mohanned Al-Sheriadeh +1 more
doaj +3 more sources