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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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 |
_version_ |
1766330495908446208 |