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 …

[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 …

Enhancing precipitation estimates through the fusion of weather radar, satellite retrievals, and surface parameters

Y Wehbe, M Temimi, RF Adler - Remote Sensing, 2020 - mdpi.com
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 …

Downscaling TRMM monthly precipitation using google earth engine and google cloud computing

A Elnashar, H Zeng, B Wu, N Zhang, F Tian, M Zhang… - Remote Sensing, 2020 - mdpi.com
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 …

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 …

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 …

An application of Multiple‐point statistics downscaling approach over North‐West Himalayas in avalanche‐prone areas

A Singhal, SK Jha - International Journal of Climatology, 2022 - Wiley Online Library
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 …

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 …

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 …

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 …