Spatiotemporal Modes Characteristics and SARIMA Prediction of Total Column Water Vapor over China during 2002–2022 Based on AIRS Dataset

The total column water vapor (TCWV) is a relatively active component in the atmosphere and an important detection object of climate change. Exploring the spatiotemporal modes characteristics of TCWV and predicting its changing trends can provide a reference for human beings to deal with climate chan...

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Auteurs principaux:	Shanshan Shangguan, Han Lin, Yuanyuan Wei, Chaoli Tang
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-05-01
Collection:	Atmosphere
Sujets:	water vapor column spatiotemporal distribution EOF modes analysis Mann-Kendall mutation test SARIMA model
Accès en ligne:	https://www.mdpi.com/2073-4433/13/6/885
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