Insights on past and future sea-ice evolution from combining observations and models

We discuss the current understanding of past and future sea-ice evolution as inferred from combining model simulations and observations. In such combined analysis, the models allow us to enhance our understanding behind the observed evolution of sea ice, while the observations allow us to assess how...

Full description

Bibliographic Details
Main Authors: Stroeve, J, Notz, D
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://discovery.ucl.ac.uk/id/eprint/1474381/1/Stroeve_and_Notz_manuscript_revised_clean.pdf
https://discovery.ucl.ac.uk/id/eprint/1474381/
id ftucl:oai:eprints.ucl.ac.uk.OAI2:1474381
record_format openpolar
spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:1474381 2023-12-24T10:13:57+01:00 Insights on past and future sea-ice evolution from combining observations and models Stroeve, J Notz, D 2015-12 text https://discovery.ucl.ac.uk/id/eprint/1474381/1/Stroeve_and_Notz_manuscript_revised_clean.pdf https://discovery.ucl.ac.uk/id/eprint/1474381/ eng eng https://discovery.ucl.ac.uk/id/eprint/1474381/1/Stroeve_and_Notz_manuscript_revised_clean.pdf https://discovery.ucl.ac.uk/id/eprint/1474381/ open Global and Planetary Change , 135 (C) pp. 119-132. (2015) Arctic sea ice Future climate change Sea ice predictability Article 2015 ftucl 2023-11-27T13:07:37Z We discuss the current understanding of past and future sea-ice evolution as inferred from combining model simulations and observations. In such combined analysis, the models allow us to enhance our understanding behind the observed evolution of sea ice, while the observations allow us to assess how realistically the models represent the processes that govern sea-ice evolution in the real world. Combined, observations and models thus provide robust insights into the functioning of sea ice in the Earth's climate system, and can inform policy decisions related to the future evolution of the ice cover. We find that models and observations agree well on the sensitivity of Arctic sea ice to global warming and on the main drivers for the observed retreat. In contrast, a robust reduction of the uncertainty range of future sea-ice evolution remains difficult, in particular since the observational record is often too short to robustly examine the impact of internal variability on model biases. Process-based model evaluation and model evaluation based on seasonal-prediction systems provide promising ways to overcome these limitations. Article in Journal/Newspaper Arctic Climate change Global warming 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
Future climate change
Sea ice predictability
spellingShingle Arctic sea ice
Future climate change
Sea ice predictability
Stroeve, J
Notz, D
Insights on past and future sea-ice evolution from combining observations and models
topic_facet Arctic sea ice
Future climate change
Sea ice predictability
description We discuss the current understanding of past and future sea-ice evolution as inferred from combining model simulations and observations. In such combined analysis, the models allow us to enhance our understanding behind the observed evolution of sea ice, while the observations allow us to assess how realistically the models represent the processes that govern sea-ice evolution in the real world. Combined, observations and models thus provide robust insights into the functioning of sea ice in the Earth's climate system, and can inform policy decisions related to the future evolution of the ice cover. We find that models and observations agree well on the sensitivity of Arctic sea ice to global warming and on the main drivers for the observed retreat. In contrast, a robust reduction of the uncertainty range of future sea-ice evolution remains difficult, in particular since the observational record is often too short to robustly examine the impact of internal variability on model biases. Process-based model evaluation and model evaluation based on seasonal-prediction systems provide promising ways to overcome these limitations.
format Article in Journal/Newspaper
author Stroeve, J
Notz, D
author_facet Stroeve, J
Notz, D
author_sort Stroeve, J
title Insights on past and future sea-ice evolution from combining observations and models
title_short Insights on past and future sea-ice evolution from combining observations and models
title_full Insights on past and future sea-ice evolution from combining observations and models
title_fullStr Insights on past and future sea-ice evolution from combining observations and models
title_full_unstemmed Insights on past and future sea-ice evolution from combining observations and models
title_sort insights on past and future sea-ice evolution from combining observations and models
publishDate 2015
url https://discovery.ucl.ac.uk/id/eprint/1474381/1/Stroeve_and_Notz_manuscript_revised_clean.pdf
https://discovery.ucl.ac.uk/id/eprint/1474381/
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Global warming
Sea ice
genre_facet Arctic
Climate change
Global warming
Sea ice
op_source Global and Planetary Change , 135 (C) pp. 119-132. (2015)
op_relation https://discovery.ucl.ac.uk/id/eprint/1474381/1/Stroeve_and_Notz_manuscript_revised_clean.pdf
https://discovery.ucl.ac.uk/id/eprint/1474381/
op_rights open
_version_ 1786187799146266624