An Efficient Deep Learning Framework for Robust Estimation of Terrestrial Water Storage Anomalies From GRACE/GRACE-FO

The gravity recovery and climate experiment (GRACE) and its successor GRACE follow-on (GRACE-FO) provide critical insights into global terrestrial water storage anomalies (TWSAs) by precisely measuring changes in intersatellite distances. However, various uncertainty sources cause geographically cor...

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Detalles Bibliográficos

Principais autores:	Wei Chen, Jiangjun Ran, Ehsan Forootan, Zihan Yang, C.K. Shum, Changqing Wang, Min Zhong, Wei Feng, Yuhao Xiong
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Bayesian optimization convolutional neural network with spatial attention mechanism (BO-CNN-SAM) gravity recovery and climate experiment/gravity recovery and climate experiment follow-on (GRACE/GRACE-FO) terrestrial water storage anomaly (TWSA)
Acceso en liña:	https://ieeexplore.ieee.org/document/11216401/
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