A review of downscaling methods of satellite-based precipitation estimates
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 …
[HTML][HTML] Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy
C Chen, B Hu, Y Li - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
Enhancing precipitation estimates through the fusion of weather radar, satellite retrievals, and surface parameters
Accurate and timely monitoring of precipitation remains a challenge, particularly in hyper-
arid regions such as the United Arab Emirates (UAE). The aim of this study is to improve the …
arid regions such as the United Arab Emirates (UAE). The aim of this study is to improve the …
Downscaling TRMM monthly precipitation using google earth engine and google cloud computing
Accurate precipitation data at high spatiotemporal resolution are critical for land and water
management at the basin scale. We proposed a downscaling framework for Tropical Rainfall …
management at the basin scale. We proposed a downscaling framework for Tropical Rainfall …
Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China
W Wu, Y Li, X Luo, Y Zhang, X Ji, X Li - … , Natural Hazards and Risk, 2019 - Taylor & Francis
This study evaluated the performance and utility of the Climate Hazard Group InfraRed
Precipitation with Stations (CHIRPS) dataset for monitoring drought over Yunnan Province …
Precipitation with Stations (CHIRPS) dataset for monitoring drought over Yunnan Province …
Spatial downscaling model combined with the Geographically Weighted Regression and multifractal models for monthly GPM/IMERG precipitation in Hubei Province …
X Sun, J Wang, L Zhang, C Ji, W Zhang, W Li - Atmosphere, 2022 - mdpi.com
High spatial resolution (1 km or finer) precipitation data fields are crucial for understanding
the Earth's water and energy cycles at the regional scale for applications. The spatial …
the Earth's water and energy cycles at the regional scale for applications. The spatial …
An application of Multiple‐point statistics downscaling approach over North‐West Himalayas in avalanche‐prone areas
Weather data at fine spatial resolution in the Himalayan region are important for assessing
various hydrological events such as avalanches. In recent years, national agencies have …
various hydrological events such as avalanches. In recent years, national agencies have …
Inter-comparison of global precipitation data products at the river basin scale
X Hu, Z Zhou, H **ong, Q Gao, X Cao… - Hydrology …, 2024 - iwaponline.com
While many studies have compared global precipitation datasets at national, continental,
and global scales, few have evaluated these data at river basin scales. This study explored …
and global scales, few have evaluated these data at river basin scales. This study explored …
A machine learning-based approach for generating high-resolution soil moisture from SMAP products
Y Zhang, Y Chen, L Chen, S Xu, H Sun - Geocarto International, 2022 - Taylor & Francis
The coarse resolutions of passive microwave surface soil moisture (SSM) products often
hamper the applications of such products in regional or local studies. This study developed …
hamper the applications of such products in regional or local studies. This study developed …
Improving Spatial Resolution of GRACE-Derived Water Storage Changes Based on Geographically Weighted Regression Downscaled Model
Z Chen, W Zheng, W Yin, X Li… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Obtaining high-resolution products that can accurately estimate the spatiotemporal changes
in regional water resources is essential for the rational utilization of water resources. The …
in regional water resources is essential for the rational utilization of water resources. The …