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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Main Authors: | , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/170149 |
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