Selection of representative stations by means of a cluster analysis for the BAMAR region in the PIDCAP period

A cluster analysis procedure is presented that allows to select stations that are typical for different meteorological conditions. The estimations of mean daily minimum and maximum air temperatures, and also mean daily precipitation were used as parameters of the classification procedure. The means are calculated using verified synoptic data which are collected in the course of interval from August to October 1995 at 950 synoptic sites allocated on the Baltex Model Area (BAMAR) region. As a result 83 representative stations are selected, and used for validation of the LM-model at PIK.

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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/au49-j9vg
Primary Topic
Meteorological Phenomena and Simulations
Type
article
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article

Selection of representative stations by means of a cluster analysis for the BAMAR region in the PIDCAP period

Hermann Oesterle
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))
Meteorological Phenomena and Simulations
article

Selection of representative stations by means of a cluster analysis for the BAMAR region in the PIDCAP period

Hermann Oesterle
article en

Abstract

A cluster analysis procedure is presented that allows to select stations that are typical for different meteorological conditions. The estimations of mean daily minimum and maximum air temperatures, and also mean daily precipitation were used as parameters of the classification procedure. The means are calculated using verified synoptic data which are collected in the course of interval from August to October 1995 at 950 synoptic sites allocated on the Baltex Model Area (BAMAR) region. As a result 83 representative stations are selected, and used for validation of the LM-model at PIK.

Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))
Openalex Percentile: Top 100%
Meteorological Phenomena and Simulations
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