Spatial interpolation of the LARS-WG stochastic weather generator in Great Britain

Climate Research

Mikhail A. Semenov¹  Roger J. Brooks¹ 

关键词: Weather generator;    Spatial interpolation;    Climate modelling;   

DOI  :  10.3354/cr011137

来源: Inter-Research Science Publishing

【 摘 要 】

ABSTRACT: The paper describes a method for the spatial interpolation of the site-specific LARS-WG stochastic weather generator to produce 'realistic' daily weather data for the gaps between observed sites. One of the uses of LARS-WG has been site-scaleclimate change impact assessments. However, such assessments are often applied across regions and so there is a need for an interpolation method to provide input daily weather at many sites or grid-boxes where observed weather data is not available. Theinterpolation method devised combines the local interpolation of the weather generator parameters from observed sites near the unobserved location with the use of globally interpolated monthly mean statistics for a large number of sites. Thin platesmoothing splines with elevation as an independent variable were used for the global interpolation of mean monthly rainfall and temperature. The data sets used allow daily weather to be generated for any location in Great Britain and the methodology wastested at 3 locations with different local characteristics. The interpolation method showed a good performance at the 3 sites when compared to the observed data, the main differences occurring when the spline method was unable to reproduce closely theobserved mean values. The limitations of the interpolation method, its applicability to other regions and its potential use in climate change and other studies are also discussed.

【 授权许可】

Unknown