2020
DOI: 10.3390/rs12183088
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A Comparative Evaluation of the Performance of CHIRPS and CFSR Data for Different Climate Zones Using the SWAT Model

Abstract: The spatial and temporal scale of rainfall datasets is crucial in modeling hydrological processes. Recently, open-access satellite precipitation products with improved resolution have evolved as a potential alternative to sparsely distributed ground-based observations, which sometimes fail to capture the spatial variability of rainfall. However, the reliability and accuracy of the satellite precipitation products in simulating streamflow need to be verified. In this context, the objective of the current study … Show more

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Cited by 21 publications
(5 citation statements)
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References 50 publications
(58 reference statements)
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“…However, the study area in this paper is located on the Tibetan Plateau, which has a unique plateau climate with climatic differences from other regions in China [14]. Moreover, the spatial and temporal resolution, as well as the quality of the components, will exhibit variations across diverse reanalysis datasets, contingent upon factors such as the origin of the observed data, the forecast model/land surface model [37], the assimilation method [38], and other contributing parameters [39]. These factors could contribute to notable disparities in the precision and suitability of the four reanalysis datasets within the SYYR region.…”
Section: Uncertainty Analysis Of Reanalysis Datamentioning
confidence: 99%
“…However, the study area in this paper is located on the Tibetan Plateau, which has a unique plateau climate with climatic differences from other regions in China [14]. Moreover, the spatial and temporal resolution, as well as the quality of the components, will exhibit variations across diverse reanalysis datasets, contingent upon factors such as the origin of the observed data, the forecast model/land surface model [37], the assimilation method [38], and other contributing parameters [39]. These factors could contribute to notable disparities in the precision and suitability of the four reanalysis datasets within the SYYR region.…”
Section: Uncertainty Analysis Of Reanalysis Datamentioning
confidence: 99%
“…For this reason, Land use and land cover (LULC) were obtained from a 30 m resolution raster map (Figure 1) from the 2015 Land Cover Classification System (LCCS) for the Laguna del Sauce catchment [35] We obtained the soil map with the soil profile description, standardized soil texture and geology classes from the Harmonised World Soil Database (HWSD) [42]. We combined daily temperature data from the Climate Forecast System Reanalysis (CFSR) with daily precipitation from the Climate Hazards Group Infra-Red Precipitation (CHIRPS) with a resolution of approximately 38 km and 5 km [43], respectively. This combination of open-access weather data driving hydrological models in streamflow simulation provides highly accurate results [44][45][46].…”
Section: Swat Model Implementationmentioning
confidence: 99%
“…Rainfall is an essential variable in the water supply-demand calculations. Thus, it is crucial for water resource management (Sharafatmandrad and Mashizi, 2021;Yu et al, 2022) and disaster mitigation (Dhanesh et al, 2020;Nuryanto et al, 2020), especially to predict the occurrence of flood and drought events. The accuracy of water resource assessment is affected by the limited monitoring of rainfall at a finer spatial resolution, as it is mostly not measured except in a few stations.…”
Section: Introductionmentioning
confidence: 99%
“…CHIRPS has an advantage in terms of resolution, both spatial (5 km) and temporal (daily) resolution, and the data has also been available since 1981 (Funk et al, 2015). In addition, CHIRPS has proven to be quite good at describing observational data in several regions with different climates (Dhanesh et al, 2020;Wiwoho et al, 2021). Furthermore, rainfall is also an essential variable in climate change studies (Konapala et al, 2020).…”
Section: Introductionmentioning
confidence: 99%