Probabilistic optimal interpolation for data assimilation between machine learning model predictions and real time observations

In this study, we propose a new framework for Data Assimilation (DA) named Probabilistic Optimal Interpolation (POI) to combine the predictions from Machine Learning (ML) models trained with historical data and real-time observations, with the key objective to improve the estimate on the state of sy...

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書目詳細資料
Main Authors: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
其他作者: School of Civil and Environmental Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/170149
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