Detecting trends in time series of functional data: a study of antarctic climate change
The Spanish Antarctic Station Juan Carlos I has been registering surface air temperatures with the frequency of one reading per ten minutes since the austral summer 1987-88. Although this data set contains valuable information about the climate patterns in and around Antarctica, it has not been util...
Published in: | Canadian Journal of Statistics |
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Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
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Subjects: | |
Online Access: | http://hdl.handle.net/11336/13366 |
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author | Fraiman, Ricardo Justel, Ana Liu, Regina Llop Orzan, Pamela Nerina |
author_facet | Fraiman, Ricardo Justel, Ana Liu, Regina Llop Orzan, Pamela Nerina |
author_sort | Fraiman, Ricardo |
collection | CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) |
container_issue | 4 |
container_start_page | 597 |
container_title | Canadian Journal of Statistics |
container_volume | 42 |
description | The Spanish Antarctic Station Juan Carlos I has been registering surface air temperatures with the frequency of one reading per ten minutes since the austral summer 1987-88. Although this data set contains valuable information about the climate patterns in and around Antarctica, it has not been utilized in any existing climate studies thus far because of the concern of its substantial missing data caused by the difficulty in collecting data in the extreme winter weather conditions there. Such data sets do not fit the standard setting covered by the existing times series techniques. However, by treating the temperature readings for each summer as a function, the temperature data can be viewed as a time series of functional data. We introduce new notions of increasing trends for general time series of functional data based on the so-called record functions, and also develop useful nonparametric tests for such trends. Following our analysis, the data collected from Juan Carlos I Station exhibit an increasing trend in the Antarctic temperature. Fil: Fraiman, Ricardo. Universidad de la República. Facultad de Ciencias; Uruguay Fil: Justel, Ana. Universidad Autonoma de Madrid. Facultad de Ciencias. Departamento de Matematica; España Fil: Liu, Regina. Rutgers University. Department of statistics; Estados Unidos Fil: Llop Orzan, Pamela Nerina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Matemática Aplicada "Litoral"; Argentina. Universidad Nacional del Litoral; Argentina |
format | Article in Journal/Newspaper |
genre | Antarc* Antarctic Antarctica |
genre_facet | Antarc* Antarctic Antarctica |
geographic | Antarctic The Antarctic Austral Argentina Uruguay Ricardo Regina |
geographic_facet | Antarctic The Antarctic Austral Argentina Uruguay Ricardo Regina |
id | ftconicet:oai:ri.conicet.gov.ar:11336/13366 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-63.033,-63.033,-64.867,-64.867) ENVELOPE(165.750,165.750,-71.450,-71.450) |
op_collection_id | ftconicet |
op_container_end_page | 609 |
op_doi | https://doi.org/10.1002/cjs.11231 |
op_relation | info:eu-repo/semantics/altIdentifier/doi/10.1002/cjs.11231 info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/cjs.11231/abstract http://hdl.handle.net/11336/13366 Fraiman, Ricardo; Justel, Ana; Liu, Regina; Llop Orzan, Pamela Nerina; Detecting trends in time series of functional data: a study of antarctic climate change; Wiley; Canadian Journal Of Statistics-revue Canadienne de Statistique; 42; 4; 12-2014; 597-609 0319-5724 |
op_rights | info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
publisher | Wiley |
record_format | openpolar |
spelling | ftconicet:oai:ri.conicet.gov.ar:11336/13366 2025-01-16T19:37:40+00:00 Detecting trends in time series of functional data: a study of antarctic climate change Fraiman, Ricardo Justel, Ana Liu, Regina Llop Orzan, Pamela Nerina application/pdf http://hdl.handle.net/11336/13366 eng eng Wiley info:eu-repo/semantics/altIdentifier/doi/10.1002/cjs.11231 info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/cjs.11231/abstract http://hdl.handle.net/11336/13366 Fraiman, Ricardo; Justel, Ana; Liu, Regina; Llop Orzan, Pamela Nerina; Detecting trends in time series of functional data: a study of antarctic climate change; Wiley; Canadian Journal Of Statistics-revue Canadienne de Statistique; 42; 4; 12-2014; 597-609 0319-5724 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Antarctica Functional Data Global Warming Nonparametric Test for Functional Data Trends in Functional Data Trends in Time Series https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion ftconicet https://doi.org/10.1002/cjs.11231 2023-09-24T18:39:22Z The Spanish Antarctic Station Juan Carlos I has been registering surface air temperatures with the frequency of one reading per ten minutes since the austral summer 1987-88. Although this data set contains valuable information about the climate patterns in and around Antarctica, it has not been utilized in any existing climate studies thus far because of the concern of its substantial missing data caused by the difficulty in collecting data in the extreme winter weather conditions there. Such data sets do not fit the standard setting covered by the existing times series techniques. However, by treating the temperature readings for each summer as a function, the temperature data can be viewed as a time series of functional data. We introduce new notions of increasing trends for general time series of functional data based on the so-called record functions, and also develop useful nonparametric tests for such trends. Following our analysis, the data collected from Juan Carlos I Station exhibit an increasing trend in the Antarctic temperature. Fil: Fraiman, Ricardo. Universidad de la República. Facultad de Ciencias; Uruguay Fil: Justel, Ana. Universidad Autonoma de Madrid. Facultad de Ciencias. Departamento de Matematica; España Fil: Liu, Regina. Rutgers University. Department of statistics; Estados Unidos Fil: Llop Orzan, Pamela Nerina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Matemática Aplicada "Litoral"; Argentina. Universidad Nacional del Litoral; Argentina Article in Journal/Newspaper Antarc* Antarctic Antarctica CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) Antarctic The Antarctic Austral Argentina Uruguay Ricardo ENVELOPE(-63.033,-63.033,-64.867,-64.867) Regina ENVELOPE(165.750,165.750,-71.450,-71.450) Canadian Journal of Statistics 42 4 597 609 |
spellingShingle | Antarctica Functional Data Global Warming Nonparametric Test for Functional Data Trends in Functional Data Trends in Time Series https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 Fraiman, Ricardo Justel, Ana Liu, Regina Llop Orzan, Pamela Nerina Detecting trends in time series of functional data: a study of antarctic climate change |
title | Detecting trends in time series of functional data: a study of antarctic climate change |
title_full | Detecting trends in time series of functional data: a study of antarctic climate change |
title_fullStr | Detecting trends in time series of functional data: a study of antarctic climate change |
title_full_unstemmed | Detecting trends in time series of functional data: a study of antarctic climate change |
title_short | Detecting trends in time series of functional data: a study of antarctic climate change |
title_sort | detecting trends in time series of functional data: a study of antarctic climate change |
topic | Antarctica Functional Data Global Warming Nonparametric Test for Functional Data Trends in Functional Data Trends in Time Series https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
topic_facet | Antarctica Functional Data Global Warming Nonparametric Test for Functional Data Trends in Functional Data Trends in Time Series https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
url | http://hdl.handle.net/11336/13366 |