AI

A Novel Optimized Hybrid VMD-PCA-XGBoost Model for Forecasting Precipitation: Exemplified by the Beijing-Tianjin-Hebei Study Region in China
Extreme precipitation events pose significant challenges to societal infrastructure and environmental stability, particularly in …
Qiaoli Kong, Qian Li, Qi Bai, Xiaolong Mi*, Joseph Awange, Shi Wang, Yi Yang, Guoli Bo
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A new high-precision short-term ionospheric TEC prediction model based on the DBO-BiLSTM algorithm: A case study of Europe
In order to achieve high accuracy of ionospheric total electron content (TEC) short-term prediction for Europe, a novel hybrid deep …
Qiaoli Kong*, Yunqing Huang, Xiaolong Mi, Qi Bai, Jingwei Han, Yanfei Chen, Shi Wang
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Spatiotemporal inhomogeneity of accuracy degradation in AI weather forecast foundation models: A GNSS perspective
Artificial intelligence weather forecast foundation models can infer precise global atmospheric state forecasts on user devices at …
Junsheng Ding, Wu Chen, Junping Chen*, Jungang Wang, Yize Zhang, Lei Bai, Yuyan Wang, Xiaolong Mi, Tong Liu, Duojie Weng
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Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing
Accurate tropospheric delay forecasts are imperative for microwave-based remote sensing techniques, playing a pivotal role in early …
Junsheng Ding, Xiaolong Mi, Wu Chen, Junping Chen*, Jungang Wang, Yize Zhang, Joseph L. Awange, Benedikt Soja, Lei Bai, Yuanfan Deng, Wenjie Tang
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AI Foundation Models Facilitate Real-time Global GNSS Precipitable Water Vapor Retrieval with Sub-millimeter Accuracy
Currently, over 20,000 Global Navigation Satellite Systems (GNSS) stations are installed worldwide to provide tropospheric delay …
Junsheng Ding, Wu Chen, Junping Chen*, Jungang Wang, Yize Zhang, Duojie Weng, Tong Liu, Xiaolong Mi, Benedikt Soja, Lei Bai
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