Copula-based interpolation methods for air temperature data using collocated covariates

Dataset

Description

This paper introduces two copula-based interpolation methods to produce air temperature maps in a data-scarce area: a spatial copula interpolator including covariates, and a mixed copula interpolator. Daily mean air temperature was used from weather stations and ERA_Interim reanalysis weather data at 174 locations in the Qazvin Plain, Iran. The results showed an improved performance of the new methods to describe both spatial variability and co-variability between variables. The methods are potentially useful for other sparsely and irregularly distributed weather data.

copula, interpolation, covariate, data scarce, air temperature
Date made available1 Nov 2018
PublisherDANS easy
Temporal coverage1 Jun 2014 - 30 Jun 2014
Date of data production8 Aug 2018

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