A GRU-Based Model Using GNSS-PWV and Meteorological Data for Forecasting Rainfalls

As one of the most important parameters for the atmospheric water vapor contents, precipitable water vapor derived from global navigation satellite systems (GNSS) has been a valuable source of information for forecasting rainfall events in recent years due to the distinctive advantages of high accur...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Longjiang Li, Kefei Zhang, Hong Zhang, Suqin Wu, Dongsheng Zhao, Xiaoming Wang, Andong Hu, Minghao Zhang, Mardina Abdullah
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Gated recurrent unit (GRU) global navigation satellite systems (GNSS) precipitable water vapor (PWV) rainfall forecasting
Accesso online:	https://ieeexplore.ieee.org/document/11078771/
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!