A review of downscaling methods of satellite-based precipitation estimates
A Abdollahipour, H Ahmadi, B Aminnejad - Earth Science Informatics, 2022 - Springer
Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …
Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model …
Accurate precipitation retrievals with fine spatio-temporal resolutions are critical in global
and regional analyses. As an important alternative of satellite-based precipitation products …
and regional analyses. As an important alternative of satellite-based precipitation products …
Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area
This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …
precipitation estimates and compared its performance with an optimized local weighted …
A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China
H Wang, F Zang, C Zhao, C Liu - Science of the Total Environment, 2022 - Elsevier
Accurate precipitation data are crucial for hydrological, meteorological, and ecological
research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal …
research. However, it is difficult to obtain high-precision and high-resolution spatiotemporal …
AERA5-Asia: a long-term asian precipitation dataset (0.1°, 1-hourly, 1951–2015, Asia) anchoring the ERA5-land under the total volume control by APHRODITE
Accurate long-term precipitation information is critical for understanding the mechanisms
behind how precipitation couples with Earth's water fluxes, energy balances, and …
behind how precipitation couples with Earth's water fluxes, energy balances, and …
PECA-FY4A: Precipitation Estimation using Chromatographic Analysis methodology for full-disc multispectral observations from FengYun-4A/AGRI
Near-real-time precipitation estimates based on geostationary meteorological satellites are
of great importance for monitoring hydrology-related disasters. Currently, the contributions of …
of great importance for monitoring hydrology-related disasters. Currently, the contributions of …
Comprehensive comparisons of state-of-the-art gridded precipitation estimates for hydrological applications over southern China
Satellite-based precipitation estimates with high quality and spatial-temporal resolutions
play a vital role in forcing global or regional meteorological, hydrological, and agricultural …
play a vital role in forcing global or regional meteorological, hydrological, and agricultural …
The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain
S Ali, J Ran, Y Luan, B Khorrami, Y Xiao… - Science of The Total …, 2024 - Elsevier
Groundwater storage and depletion fluctuations in response to groundwater availability for
irrigation require understanding on a local scale to ensure a reliable groundwater supply …
irrigation require understanding on a local scale to ensure a reliable groundwater supply …
A fine spatial resolution estimation scheme for large-scale gross primary productivity (GPP) in mountain ecosystems by integrating an eco-hydrological model with the …
Accurate estimation of mountain vegetation gross primary productivity (GPP) at fine spatial
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …
resolutions offers opportunities to better understand mountain ecosystems' feedback to the …
Multi-source precipitation data merging for heavy rainfall events based on cokriging and machine learning methods
J Zhang, J Xu, X Dai, H Ruan, X Liu, W Jing - Remote Sensing, 2022 - mdpi.com
Gridded precipitation data with a high spatiotemporal resolution are of great importance for
studies in hydrology, meteorology, and agronomy. Observational data from meteorological …
studies in hydrology, meteorology, and agronomy. Observational data from meteorological …