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

• المؤلفون الرئيسيون: Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Data Assimilation; Uncertainty
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170149
• المؤسسة: Nanyang Technological University

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...