Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements

Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements

<p>Deriving large-scale and high-quality precipitation products from satellite remote-sensing spectral data is always challenging in quantitative precipitation estimation (QPE), and limited studies have been conducted even using China's latest Fengyun-4A (FY-4A) geostationary satellite. T...

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Bibliographic Details
Main Authors: X. Li, Y. Yang, J. Mi, X. Bi, Y. Zhao, Z. Huang, C. Liu, L. Zong, W. Li
Format: article
Language:EN
Published: Copernicus Publications 2021
Subjects:
Environmental engineering
TA170-171
Earthwork. Foundations
TA715-787
Online Access:https://doaj.org/article/254c2f80c54043a69ef84571b60fd733
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https://doaj.org/article/254c2f80c54043a69ef84571b60fd733

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