Bivariate bias correction of monthly temperature and precipitation from regional climate models (CROSBI ID 663193)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Sokol Jurković, Renata ; Güttler, Ivan
engleski
Bivariate bias correction of monthly temperature and precipitation from regional climate models
Application of two dimensional bias correction method on regional climate model data was examined. Temperature and precipitation were corrected. E-OBS data of mean monthly temperature and precipitation sum was used. Results of the RegCM4 regional climate model simulations forced by the four CMIP5 global climate models was bias corrected. The simulations cover the historical period with the observed concentrations of the greenhouse gasses applied. Quantile mapping was used to correct higher moments of a variable, thus transfer functions were developed for each variable separately for every grid point for the period 1971-1990 and applied to regional model data for the period 1991-2005. For the same period bivariate quantile mapping bias correction method with gamma and normal marginal distributions was used to correct correlation between the two variables. Spearman correlation coefficient was analyzed for row model data, observational data, univariate quantile mapping bias correction method and bivariate quantile mapping bias correction method and validation of the methods for the regional model was made.
bivariate bias correction, climate models, temperature, precipitation
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Podaci o prilogu
38-38.
2018.
objavljeno
Podaci o matičnoj publikaciji
2nd Workshop on Bias Correction in Climate Studies May 14th - May 16th, 2018, Santander, Spain
Podaci o skupu
2nd Workshop on Bias Correction in Climate Studies
poster
14.05.2018-16.05.2018
Santander, Španjolska