Hourly Rainfall Forecast Model Using Supervised Learning Algorithm

Previous studies on short-term rainfall forecast using precipitable water vapor (PWV) and meteorological parameters mainly focus on rain occurrence, while the rainfall forecast is rarely investigated. Therefore, an hourly rainfall forecast (HRF) model based on a supervised learning algorithm is prop...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 9
Hlavní autori:	Zhao, Qingzhi, Liu, Yang, Yao, Wanqiang, Yao, Yibin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Autocorrelation Data models Global navigation satellite system Global Navigation Satellite System (GNSS) Machine learning Mathematical models Meteorological parameters Navigation Navigational satellites Parameters precipitable water vapor (PWV) Predictive models Rain Rainfall rainfall forecast model Resolution Root-mean-square errors Supervised learning support vector machine (SVM) Support vector machines Temperature data Water vapor Water vapour Weather forecasting
ISSN:	0196-2892, 1558-0644
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