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 …

Evaluation of GPM IMERG performance using gauge data over Indonesian maritime continent at different time scales

R Ramadhan, H Yusnaini, M Marzuki, R Muharsyah… - Remote Sensing, 2022 - mdpi.com
Accurate precipitation observations are crucial for water resources management and as
inputs for a gamut of hydrometeorological applications. Precipitation data from Integrated …

Evaluations on gridded precipitation products spanning more than half a century over the Tibetan Plateau and its surroundings

X Tan, Z Ma, K He, X Han, Q Ji, Y He - Journal of Hydrology, 2020 - Elsevier
Long-term precipitation data play significant roles in hydrological applications and climate
change studies. In this study three gridded precipitation products (Asian Precipitation-Highly …

A downscaling–merging scheme for improving daily spatial precipitation estimates based on random forest and cokriging

X Yan, H Chen, B Tian, S Sheng, J Wang, JS Kim - Remote Sensing, 2021 - mdpi.com
High-spatial-resolution precipitation data are of great significance in many applications,
such as ecology, hydrology, and meteorology. Acquiring high-precision and high-resolution …

Downscaling the GPM-based satellite precipitation retrievals using gradient boosting decision tree approach over Mainland China

Z Shen, B Yong - Journal of Hydrology, 2021 - Elsevier
Remote sensing brings unprecedented opportunities to estimate precipitation at regional,
continental, and even global scales. Nevertheless, the spatial resolutions of current …

[HTML][HTML] Assessing a machine learning-based downscaling framework for obtaining 1km daily precipitation from GPM data

T Sun, N Yan, W Zhu, Q Zhuang - Heliyon, 2024 - cell.com
Hydro-meteorological monitoring through satellites in arid and semi-arid regions is
constrained by the coarse spatial resolution of precipitation data, which impedes detailed …

Quantitative evaluations and error source analysis of Fengyun-2-based and GPM-based precipitation products over mainland China in summer, 2018

J Xu, Z Ma, G Tang, Q Ji, X Min, W Wan, Z Shi - Remote Sensing, 2019 - mdpi.com
Satellite-based quantitative precipitation estimates (QPE) with a fine quality are of great
importance to global water cycle and matter and energy exchange research. In this study …

The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region

Q Zhuang, Z Zhou, S Liu, DB Wright… - Journal of Flood Risk …, 2023 - Wiley Online Library
Abstract The Global Precipitation Measurement (GPM) Integrated Multi‐satellitE Retrievals
for GPM products (ie, IMERG) provide new‐generation satellite precipitation measurements …

A multiple-step scheme for the improvement of satellite precipitation products over the Tibetan Plateau from multisource information

K He, X Chen, J Liu, D Zhao - Science of the Total Environment, 2023 - Elsevier
Precipitation data with high accuracy and spatial resolution characteristics play significant
roles in the regional hydrological and eco-environmental system applications. Thus, satellite …

Spatiotemporal assessments on the satellite‐based precipitation products from Fengyun and GPM over the Yunnan‐Kweichow Plateau, China

H Lu, L Ding, Z Ma, H Li, T Lu, M Su… - Earth and Space …, 2020 - Wiley Online Library
High‐quality precipitation data are vital for hydrological applications and climate change
research. In this study, we evaluated two satellite‐based precipitation products from Chinese …