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 +10 more sources
Capacity of the PERSIANN-CDR Product in Detecting Extreme Precipitation over Huai River Basin, China [PDF]
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 +4 more sources
Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China [PDF]
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 +4 more sources
Hydrological Evaluation of PERSIANN-CDR Rainfall over Upper Senegal River and Bani River Basins [PDF]
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 +6 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 +4 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 +10 more sources
Assessment of IMERG-V06, TRMM-3B42V7, SM2RAIN-ASCAT, and PERSIANN-CDR Precipitation Products over the Hindu Kush Mountains of Pakistan, South Asia [PDF]
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 +4 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
A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0. [PDF]
Sci 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 ...
Bolboli Zadeh M +5 more
europepmc +2 more sources
Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin. [PDF]
PLoS One, 2020 Precipitation, as a primary hydrological variable in the water cycle plays an important role in hydrological modeling. The reliability of hydrological modeling is highly related to the quality of precipitation data.
Try S +8 more
europepmc +5 more sources