Modeling the annual cycle of daily Antarctic sea ice extent

Abstract. The total Antarctic sea ice extent (SIE) experiences adistinct annual cycle, peaking in September and reaching its minimum in February. In this paper we propose amathematical and statistical decomposition of this temporal variation in SIE. Each component is interpretable and, when combined...

Full description

Bibliographic Details
Main Authors: Handcock, Mark S, Raphael, Marilyn N
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2020
Subjects:
Online Access:https://escholarship.org/uc/item/5jh7s9wg
id ftcdlib:oai:escholarship.org/ark:/13030/qt5jh7s9wg
record_format openpolar
spelling ftcdlib:oai:escholarship.org/ark:/13030/qt5jh7s9wg 2023-05-15T14:04:04+02:00 Modeling the annual cycle of daily Antarctic sea ice extent Handcock, Mark S Raphael, Marilyn N 2159 - 2172 2020-07-02 application/pdf https://escholarship.org/uc/item/5jh7s9wg unknown eScholarship, University of California qt5jh7s9wg https://escholarship.org/uc/item/5jh7s9wg public CRYOSPHERE, vol 14, iss 7 Oceanography Physical Geography and Environmental Geoscience Meteorology & Atmospheric Sciences article 2020 ftcdlib 2021-05-30T17:54:06Z Abstract. The total Antarctic sea ice extent (SIE) experiences adistinct annual cycle, peaking in September and reaching its minimum in February. In this paper we propose amathematical and statistical decomposition of this temporal variation in SIE. Each component is interpretable and, when combined, gives acomplete picture of the variation in the sea ice. We consider timescales varying from the instantaneous and not previously defined to the multi-decadal curvilinear trend, the longest. Because our representation is daily, these timescales of variability give precise information about the timing and rates of advance and retreat of the ice and may be used to diagnose physical contributors to variability in the sea ice. We define anumber of annual cycles each capturing different components of variation, especially the yearly amplitude and phase that are major contributors to SIE variation. Using daily sea ice concentration data, we show that our proposed invariant annual cycle explains 29 % more of the variation in daily SIE than the traditional method. The proposed annual cycle that incorporates amplitude and phase variation explains 77 % more variation than the traditional method. The variation in phase explains more of the variability in SIE than the amplitude. Using our methodology, we show that the anomalous decay of sea ice in 2016 was associated largely with achange of phase rather than amplitude. We show that the long term trend in Antarctic sea ice extent is strongly curvilinear and the reported positive linear trend is small and dependent strongly on apositive trend that began around 2011 and continued until 2016. Article in Journal/Newspaper Antarc* Antarctic Sea ice University of California: eScholarship Antarctic
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Oceanography
Physical Geography and Environmental Geoscience
Meteorology & Atmospheric Sciences
spellingShingle Oceanography
Physical Geography and Environmental Geoscience
Meteorology & Atmospheric Sciences
Handcock, Mark S
Raphael, Marilyn N
Modeling the annual cycle of daily Antarctic sea ice extent
topic_facet Oceanography
Physical Geography and Environmental Geoscience
Meteorology & Atmospheric Sciences
description Abstract. The total Antarctic sea ice extent (SIE) experiences adistinct annual cycle, peaking in September and reaching its minimum in February. In this paper we propose amathematical and statistical decomposition of this temporal variation in SIE. Each component is interpretable and, when combined, gives acomplete picture of the variation in the sea ice. We consider timescales varying from the instantaneous and not previously defined to the multi-decadal curvilinear trend, the longest. Because our representation is daily, these timescales of variability give precise information about the timing and rates of advance and retreat of the ice and may be used to diagnose physical contributors to variability in the sea ice. We define anumber of annual cycles each capturing different components of variation, especially the yearly amplitude and phase that are major contributors to SIE variation. Using daily sea ice concentration data, we show that our proposed invariant annual cycle explains 29 % more of the variation in daily SIE than the traditional method. The proposed annual cycle that incorporates amplitude and phase variation explains 77 % more variation than the traditional method. The variation in phase explains more of the variability in SIE than the amplitude. Using our methodology, we show that the anomalous decay of sea ice in 2016 was associated largely with achange of phase rather than amplitude. We show that the long term trend in Antarctic sea ice extent is strongly curvilinear and the reported positive linear trend is small and dependent strongly on apositive trend that began around 2011 and continued until 2016.
format Article in Journal/Newspaper
author Handcock, Mark S
Raphael, Marilyn N
author_facet Handcock, Mark S
Raphael, Marilyn N
author_sort Handcock, Mark S
title Modeling the annual cycle of daily Antarctic sea ice extent
title_short Modeling the annual cycle of daily Antarctic sea ice extent
title_full Modeling the annual cycle of daily Antarctic sea ice extent
title_fullStr Modeling the annual cycle of daily Antarctic sea ice extent
title_full_unstemmed Modeling the annual cycle of daily Antarctic sea ice extent
title_sort modeling the annual cycle of daily antarctic sea ice extent
publisher eScholarship, University of California
publishDate 2020
url https://escholarship.org/uc/item/5jh7s9wg
op_coverage 2159 - 2172
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Sea ice
genre_facet Antarc*
Antarctic
Sea ice
op_source CRYOSPHERE, vol 14, iss 7
op_relation qt5jh7s9wg
https://escholarship.org/uc/item/5jh7s9wg
op_rights public
_version_ 1766275039769919488