400 predictions: the SEARCH Sea Ice Outlook 2008–2015

Each Arctic summer since 2008, the Sea Ice Outlook (SIO) has invited researchers and the engaged public to contribute predictions regarding the September extent of Arctic sea ice. The public character of SIO, focused on a number whose true value soon becomes known, brings elements of constructive ga...

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Bibliographic Details
Main Authors: Hamilton, LC, Stroeve, J
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://discovery.ucl.ac.uk/id/eprint/10024981/1/400%20predictions%20the%20SEARCH%20Sea%20Ice%20Outlook%202008%202015.pdf
https://discovery.ucl.ac.uk/id/eprint/10024981/
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spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:10024981 2023-12-24T10:13:09+01:00 400 predictions: the SEARCH Sea Ice Outlook 2008–2015 Hamilton, LC Stroeve, J 2016-10-01 text https://discovery.ucl.ac.uk/id/eprint/10024981/1/400%20predictions%20the%20SEARCH%20Sea%20Ice%20Outlook%202008%202015.pdf https://discovery.ucl.ac.uk/id/eprint/10024981/ eng eng https://discovery.ucl.ac.uk/id/eprint/10024981/1/400%20predictions%20the%20SEARCH%20Sea%20Ice%20Outlook%202008%202015.pdf https://discovery.ucl.ac.uk/id/eprint/10024981/ open Polar Geography , 39 (4) pp. 274-287. (2016) Arctic sea ice prediction SEARCH SIPN modeling Article 2016 ftucl 2023-11-27T13:07:36Z Each Arctic summer since 2008, the Sea Ice Outlook (SIO) has invited researchers and the engaged public to contribute predictions regarding the September extent of Arctic sea ice. The public character of SIO, focused on a number whose true value soon becomes known, brings elements of constructive gamification and transparency to the science process. We analyze the performance of more than 400 predictions from SIO’s first eight years, testing for differences in ensemble skill across years, months and five types of method: heuristic, statistical, mixed, and ice-ocean or ice-ocean-atmosphere modeling. Results highlight a pattern of easy and difficult years, corresponding roughly to the distinction between climate and weather. Difficult years, in which most predictions are far from the observed extent, tend to have large positive or negative excursions from the overall downward trends. In contrast to these large interannual effects, ensemble improvement from June to July and August is modest. Among method types, predictions based on statistics and ice-ocean-atmosphere modeling perform better. Thinning ice that is sensitive to summer weather, complicating prediction, reflects our transitional era between a past Arctic cool enough to retain much thick, resistant multiyear ice; and a warmed future Arctic where little ice remains at summer’s end. Article in Journal/Newspaper Arctic Polar Geography Sea ice University College London: UCL Discovery Arctic
institution Open Polar
collection University College London: UCL Discovery
op_collection_id ftucl
language English
topic Arctic
sea ice
prediction
SEARCH
SIPN
modeling
spellingShingle Arctic
sea ice
prediction
SEARCH
SIPN
modeling
Hamilton, LC
Stroeve, J
400 predictions: the SEARCH Sea Ice Outlook 2008–2015
topic_facet Arctic
sea ice
prediction
SEARCH
SIPN
modeling
description Each Arctic summer since 2008, the Sea Ice Outlook (SIO) has invited researchers and the engaged public to contribute predictions regarding the September extent of Arctic sea ice. The public character of SIO, focused on a number whose true value soon becomes known, brings elements of constructive gamification and transparency to the science process. We analyze the performance of more than 400 predictions from SIO’s first eight years, testing for differences in ensemble skill across years, months and five types of method: heuristic, statistical, mixed, and ice-ocean or ice-ocean-atmosphere modeling. Results highlight a pattern of easy and difficult years, corresponding roughly to the distinction between climate and weather. Difficult years, in which most predictions are far from the observed extent, tend to have large positive or negative excursions from the overall downward trends. In contrast to these large interannual effects, ensemble improvement from June to July and August is modest. Among method types, predictions based on statistics and ice-ocean-atmosphere modeling perform better. Thinning ice that is sensitive to summer weather, complicating prediction, reflects our transitional era between a past Arctic cool enough to retain much thick, resistant multiyear ice; and a warmed future Arctic where little ice remains at summer’s end.
format Article in Journal/Newspaper
author Hamilton, LC
Stroeve, J
author_facet Hamilton, LC
Stroeve, J
author_sort Hamilton, LC
title 400 predictions: the SEARCH Sea Ice Outlook 2008–2015
title_short 400 predictions: the SEARCH Sea Ice Outlook 2008–2015
title_full 400 predictions: the SEARCH Sea Ice Outlook 2008–2015
title_fullStr 400 predictions: the SEARCH Sea Ice Outlook 2008–2015
title_full_unstemmed 400 predictions: the SEARCH Sea Ice Outlook 2008–2015
title_sort 400 predictions: the search sea ice outlook 2008–2015
publishDate 2016
url https://discovery.ucl.ac.uk/id/eprint/10024981/1/400%20predictions%20the%20SEARCH%20Sea%20Ice%20Outlook%202008%202015.pdf
https://discovery.ucl.ac.uk/id/eprint/10024981/
geographic Arctic
geographic_facet Arctic
genre Arctic
Polar Geography
Sea ice
genre_facet Arctic
Polar Geography
Sea ice
op_source Polar Geography , 39 (4) pp. 274-287. (2016)
op_relation https://discovery.ucl.ac.uk/id/eprint/10024981/1/400%20predictions%20the%20SEARCH%20Sea%20Ice%20Outlook%202008%202015.pdf
https://discovery.ucl.ac.uk/id/eprint/10024981/
op_rights open
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