Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China

Modeling Joint Relationship and Design Scenarios Between Precipitation, Surface Temperature, and Atmospheric Precipitable Water Over Mainland China

Abstract This study employs copula model to discuss joint relationship and design scenarios between precipitation (P), surface temperature (T), and precipitable water (PW) in seven regions and mainland China over 1980–2016 within a bivariate framework. Markov Chain Monte Carlo modeling in a Bayesian...

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Bibliographic Details
Main Authors: Olusola Olaitan Ayantobo, Jiahua Wei, Guangqian Wang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-04-01
Series:Earth and Space Science
Subjects:
Bayesian framework
copula function
Markov Chain Monte Carlo simulation
precipitation
precipitable water
temperature
Online Access:https://doi.org/10.1029/2020EA001513

Internet

https://doi.org/10.1029/2020EA001513

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