Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset

Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset

Deep convective systems (DCSs) play a crucial role in global water cycles, energy distribution, and extreme weather events. This study aims to enhance the understanding of DCSs by creating a comprehensive dataset through the fusion of multisource A-Train satellite observations and reanalysis data. F...

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Bibliographic Details
Main Authors: Xiaoyu Hu, Lang Zhang, Jinming Ge, Qingyu Mu, Meihua Wang, Bochun Liu, Jiajing Du, Zihang Han, Leyi Wang, Hui Wang, Ruilin Zhou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
A-Train satellites
cloud radiative effect
data fusion
deep convective system (DCS)
Online Access:https://ieeexplore.ieee.org/document/10742418/
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https://ieeexplore.ieee.org/document/10742418/

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