Spatiotemporal inhomogeneity of accuracy degradation in AI weather forecast foundation models: A GNSS perspective

Spatiotemporal inhomogeneity of accuracy degradation in AI weather forecast foundation models: A GNSS perspective

The artificial intelligence (AI) weather forecast foundation models can infer and generate precise global atmospheric state forecasts on the user’s device and with speed over 10,000 times faster than the operational Integrated Forecasting System (IFS), and it is making increasingly significant contr...

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Bibliographic Details
Main Authors: Junsheng Ding, Wu Chen, Junping Chen, Jungang Wang, Yize Zhang, Lei Bai, Yuyan Wang, Xiaolong Mi, Tong Liu, Duojie Weng
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Foundation models
GNSS tropospheric delay
Spatiotemporal inhomogeneity
Accuracy degradation
Weather forecast
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225001207
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