articleIEEE Transactions on Geoscience and Remote SensingJan 1, 2026Closed access

Rainfall Amount Forecast Using GNSS-PWV Based on Machine Learning Fusion Strategy and the Constraint of Rainfall Event

MSMingkun SuCCCong ChenZLZhao LiWJWeiping JiangYGYang Gao

Hangzhou Dianzi University · Wuhan University · +1 more institution

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Abstract

Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of Global Navigation Satellite System-derived precipitable water vapor (GNSS-PWV) has mainly focused on forecasting rainfall event occurrence, while neglecting the forecasting of rainfall amount. In this study, a new method based on machine learning fusion strategy and the constraint of rainfall event is proposed. The machine learning fusion strategy is used to improve the accuracy of rainfall amount forecasting by considering the difference in rainfall types and machine learning algorithms, while the rainfall event constraint strategy is used to reduce the rainfall amount forecasting error during periods…

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6
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72.31
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100%
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Topics & keywords

Topics
Keywords
  • Event (particle physics)
  • Constraint (computer-aided design)
  • Support vector machine
  • Probabilistic forecasting
  • Weather forecasting
  • GNSS applications
  • Regression
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