2024. december 14. szombat
IDŐJÁRÁS - angol nyelvű folyóirat

Vol. 128, No. 2 * Pages 143–286 * April - June 2024


Journal of HungaroMet Hungarian Meteorological Service

Special issue:
11th Seminar for Homogenization and Quality Control in Climatological Databases and 6th Interpolation Conference jointly organized with the 14th EUMETNET Data Management Workshop

Guest Editor: Mónika Lakatos

letöltés [pdf: 22872 KB]
Statistical modeling of the present climate by the interpolation method MISH – theoretical considerations
Tamás Szentimrey
DOI:10.28974/idojaras.2024.2.1 (pp. 143–154)
 PDF (1063 KB)   |   Abstract

Our method MISH (Meteorological Interpolation based on Surface Homogenized Data Basis; Szentimrey and Bihari) was developed for spatial interpolation of meteorological elements. According to mathematical theorems, the optimal interpolation parameters are known functions of certain climate statistical parameters, which fact means we could interpolate optimally if we knew the climate. Furthermore, the data assimilation methods also need to know the climate if Bayesian estimation theory is to be correctly applied. Therefore, we have developed the MISH system also to model the climate statistical parameters, i.e. present climate, by using long data series. It is a nonsense that we try to model the future climate but we do not know the present climate.


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