Change-point detection of climate time series by nonparametric method

In one of the data mining techniques, change-point detection is of importance in evaluating time series measured in real world. For decades this technique has been developed as a nonlinear dynamics. We apply the method for detecting the change points, Singular Spectrum Transformation (SST), to the c...

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Main Authors: Itoh, Naoki, Kurths, Jürgen (Prof. Dr.)
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
Online Access:https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/31226
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spelling ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:31226 2023-05-15T14:58:24+02:00 Change-point detection of climate time series by nonparametric method Itoh, Naoki Kurths, Jürgen (Prof. Dr.) 2010 https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/31226 eng eng https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/31226 info:eu-repo/semantics/closedAccess Interdisziplinäres Zentrum für Dynamik komplexer Systeme article doc-type:article 2010 ftubpotsdam 2022-07-28T20:44:31Z In one of the data mining techniques, change-point detection is of importance in evaluating time series measured in real world. For decades this technique has been developed as a nonlinear dynamics. We apply the method for detecting the change points, Singular Spectrum Transformation (SST), to the climate time series. To know where the structures of climate data sets change can reveal a climate background. In this paper we discuss the structures of precipitation data in Kenya and Wrangel Island (Arctic land) by using the SST. Article in Journal/Newspaper Arctic Wrangel Island University of Potsdam: publish.UP Arctic Wrangel Island ENVELOPE(-179.385,-179.385,71.244,71.244)
institution Open Polar
collection University of Potsdam: publish.UP
op_collection_id ftubpotsdam
language English
topic Interdisziplinäres Zentrum für Dynamik komplexer Systeme
spellingShingle Interdisziplinäres Zentrum für Dynamik komplexer Systeme
Itoh, Naoki
Kurths, Jürgen (Prof. Dr.)
Change-point detection of climate time series by nonparametric method
topic_facet Interdisziplinäres Zentrum für Dynamik komplexer Systeme
description In one of the data mining techniques, change-point detection is of importance in evaluating time series measured in real world. For decades this technique has been developed as a nonlinear dynamics. We apply the method for detecting the change points, Singular Spectrum Transformation (SST), to the climate time series. To know where the structures of climate data sets change can reveal a climate background. In this paper we discuss the structures of precipitation data in Kenya and Wrangel Island (Arctic land) by using the SST.
format Article in Journal/Newspaper
author Itoh, Naoki
Kurths, Jürgen (Prof. Dr.)
author_facet Itoh, Naoki
Kurths, Jürgen (Prof. Dr.)
author_sort Itoh, Naoki
title Change-point detection of climate time series by nonparametric method
title_short Change-point detection of climate time series by nonparametric method
title_full Change-point detection of climate time series by nonparametric method
title_fullStr Change-point detection of climate time series by nonparametric method
title_full_unstemmed Change-point detection of climate time series by nonparametric method
title_sort change-point detection of climate time series by nonparametric method
publishDate 2010
url https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/31226
long_lat ENVELOPE(-179.385,-179.385,71.244,71.244)
geographic Arctic
Wrangel Island
geographic_facet Arctic
Wrangel Island
genre Arctic
Wrangel Island
genre_facet Arctic
Wrangel Island
op_relation https://publishup.uni-potsdam.de/opus4-ubp/frontdoor/index/index/docId/31226
op_rights info:eu-repo/semantics/closedAccess
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