Cluster analysis results of regional climate model simulations in the PIDCAP period

On the basis of an extended cluster analysis algorithm, a new validation method is presented for the quality control of climate model simulation results. To test the method, a comparison of four climate model simulation runs was carried out, comprising on the one hand results of the non-hydrostatic model (LM) of the German Weather Service (DWD) and on the other hand results of a hydrostatic model (REMO) of the Max-Planck-Institute for Meteorology, Hamburg (MPI). The results of the cluster analysis show that the method is suitable to describe the differences between reference and simulation data in space and time.

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Publication Details

Journal
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))
Published
2024-12-12
DOI
https://doi.org/10.60910/merb-fy0c
Citations
3
Primary Topic
Climate Change and Environmental Impact
Type
article
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article

Cluster analysis results of regional climate model simulations in the PIDCAP period

P. Werner, Martin Kücken
3 citations
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))
Climate Change and Environmental Impact
article

Cluster analysis results of regional climate model simulations in the PIDCAP period

P. Werner, Martin Kücken
article en
3 citations

Abstract

On the basis of an extended cluster analysis algorithm, a new validation method is presented for the quality control of climate model simulation results. To test the method, a comparison of four climate model simulation runs was carried out, comprising on the one hand results of the non-hydrostatic model (LM) of the German Weather Service (DWD) and on the other hand results of a hydrostatic model (REMO) of the Max-Planck-Institute for Meteorology, Hamburg (MPI). The results of the cluster analysis show that the method is suitable to describe the differences between reference and simulation data in space and time.

Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))
Openalex Percentile: Top 100%
Climate Change and Environmental Impact
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