Long-range dependence and climate noise characteristics of Antarctic temperature data
This study examines the long-range dependency, climate noise characteristics, and nonlinear temperature trends of eight Antarctic stations from the Reference Antarctic Data for Environmental Research (READER) dataset. Evidence is shown that Antarctic temperatures are long-range dependent. To identif...
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American Meteorological Society
2010
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ftnerc:oai:nora.nerc.ac.uk:13271 2023-05-15T13:45:11+02:00 Long-range dependence and climate noise characteristics of Antarctic temperature data Franzke, Christian 2010 text http://nora.nerc.ac.uk/id/eprint/13271/ https://nora.nerc.ac.uk/id/eprint/13271/1/JCLIMATE_18_06_2010.txt http://journals.ametsoc.org/doi/full/10.1175/2010JCLI3654.1 en eng American Meteorological Society https://nora.nerc.ac.uk/id/eprint/13271/1/JCLIMATE_18_06_2010.txt Franzke, Christian. 2010 Long-range dependence and climate noise characteristics of Antarctic temperature data. Journal of Climate, 23 (22). 6074-6081. https://doi.org/10.1175/2010JCLI3654.1 <https://doi.org/10.1175/2010JCLI3654.1> Meteorology and Climatology Publication - Article PeerReviewed 2010 ftnerc https://doi.org/10.1175/2010JCLI3654.1 2023-02-04T19:28:30Z This study examines the long-range dependency, climate noise characteristics, and nonlinear temperature trends of eight Antarctic stations from the Reference Antarctic Data for Environmental Research (READER) dataset. Evidence is shown that Antarctic temperatures are long-range dependent. To identify possible nonlinear trends, the ensemble empirical mode decomposition (EEMD) method is used, and then the question of whether the observed trends can arise from internal atmospheric fluctuations is examined. To answer this question, surrogate data are generated from two paradigmatic null models: a standard first-order autoregressive process representing a short-range dependent process and a fractional integrated process representing a long-range dependent process. It is found that three of the eight stations show statistically significant trends when tested against the short-range dependent process while only the Faraday-Vernadsky station temperature time series shows a significant trend when tested against the long-range dependent null model. All other considered stations show no trends that are statistically significant against the two null models, and thus they can be explained by internal atmospheric variability. These results imply that more attention should be given to assessing the correlation structure of climate time series. Article in Journal/Newspaper Antarc* Antarctic Natural Environment Research Council: NERC Open Research Archive Antarctic Faraday ENVELOPE(-64.256,-64.256,-65.246,-65.246) Vernadsky Station ENVELOPE(-64.257,-64.257,-65.245,-65.245) Journal of Climate 23 22 6074 6081 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
topic |
Meteorology and Climatology |
spellingShingle |
Meteorology and Climatology Franzke, Christian Long-range dependence and climate noise characteristics of Antarctic temperature data |
topic_facet |
Meteorology and Climatology |
description |
This study examines the long-range dependency, climate noise characteristics, and nonlinear temperature trends of eight Antarctic stations from the Reference Antarctic Data for Environmental Research (READER) dataset. Evidence is shown that Antarctic temperatures are long-range dependent. To identify possible nonlinear trends, the ensemble empirical mode decomposition (EEMD) method is used, and then the question of whether the observed trends can arise from internal atmospheric fluctuations is examined. To answer this question, surrogate data are generated from two paradigmatic null models: a standard first-order autoregressive process representing a short-range dependent process and a fractional integrated process representing a long-range dependent process. It is found that three of the eight stations show statistically significant trends when tested against the short-range dependent process while only the Faraday-Vernadsky station temperature time series shows a significant trend when tested against the long-range dependent null model. All other considered stations show no trends that are statistically significant against the two null models, and thus they can be explained by internal atmospheric variability. These results imply that more attention should be given to assessing the correlation structure of climate time series. |
format |
Article in Journal/Newspaper |
author |
Franzke, Christian |
author_facet |
Franzke, Christian |
author_sort |
Franzke, Christian |
title |
Long-range dependence and climate noise characteristics of Antarctic temperature data |
title_short |
Long-range dependence and climate noise characteristics of Antarctic temperature data |
title_full |
Long-range dependence and climate noise characteristics of Antarctic temperature data |
title_fullStr |
Long-range dependence and climate noise characteristics of Antarctic temperature data |
title_full_unstemmed |
Long-range dependence and climate noise characteristics of Antarctic temperature data |
title_sort |
long-range dependence and climate noise characteristics of antarctic temperature data |
publisher |
American Meteorological Society |
publishDate |
2010 |
url |
http://nora.nerc.ac.uk/id/eprint/13271/ https://nora.nerc.ac.uk/id/eprint/13271/1/JCLIMATE_18_06_2010.txt http://journals.ametsoc.org/doi/full/10.1175/2010JCLI3654.1 |
long_lat |
ENVELOPE(-64.256,-64.256,-65.246,-65.246) ENVELOPE(-64.257,-64.257,-65.245,-65.245) |
geographic |
Antarctic Faraday Vernadsky Station |
geographic_facet |
Antarctic Faraday Vernadsky Station |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://nora.nerc.ac.uk/id/eprint/13271/1/JCLIMATE_18_06_2010.txt Franzke, Christian. 2010 Long-range dependence and climate noise characteristics of Antarctic temperature data. Journal of Climate, 23 (22). 6074-6081. https://doi.org/10.1175/2010JCLI3654.1 <https://doi.org/10.1175/2010JCLI3654.1> |
op_doi |
https://doi.org/10.1175/2010JCLI3654.1 |
container_title |
Journal of Climate |
container_volume |
23 |
container_issue |
22 |
container_start_page |
6074 |
op_container_end_page |
6081 |
_version_ |
1766215434393092096 |