Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals

The net Arctic sea-ice area (SIA) can be estimated from the sea-ice concentration (SIC) by passive microwave measurements from satellites. To be a truly useful metric, for example of the sensitivity of the Arctic sea-ice cover to global warming, we need, however, reliable estimates of its uncertaint...

Full description

Bibliographic Details
Main Authors: Wernecke, Andreas, Notz, Dirk, Kern, Stefan, Lavergne, Thomas
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2022-1189
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1189/
id ftcopernicus:oai:publications.copernicus.org:egusphere107546
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:egusphere107546 2024-06-23T07:49:54+00:00 Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals Wernecke, Andreas Notz, Dirk Kern, Stefan Lavergne, Thomas 2024-05-17 application/pdf https://doi.org/10.5194/egusphere-2022-1189 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1189/ eng eng doi:10.5194/egusphere-2022-1189 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1189/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2022-1189 2024-06-13T01:23:50Z The net Arctic sea-ice area (SIA) can be estimated from the sea-ice concentration (SIC) by passive microwave measurements from satellites. To be a truly useful metric, for example of the sensitivity of the Arctic sea-ice cover to global warming, we need, however, reliable estimates of its uncertainty. Here we retrieve this uncertainty by taking into account the spatial and temporal error correlations of the underlying local sea-ice concentration products. As 1 example year, we find that in 2015 the average observational uncertainties of the SIA are 306 000 km 2 for daily estimates, 275 000 km 2 for weekly estimates, and 164 000 km 2 for monthly estimates. The sea-ice extent (SIE) uncertainty for that year is slightly smaller, with 296 000 km 2 for daily estimates, 261 000 km 2 for weekly estimates, and 156 000 km 2 for monthly estimates. These daily uncertainties correspond to about 7 % of the 2015 sea-ice minimum and are about half of the spread in estimated SIA and SIE from different passive microwave SIC products. This shows that random SIC errors play a role in SIA uncertainties comparable to inter-SIC-product biases. We further show that the September SIA, which is traditionally the month with the least amount of Arctic sea ice, declined by 105 000±9000 km 2 a −1 for the period from 2002 to 2017. This is the first estimate of a SIA trend with an explicit representation of temporal error correlations. Text Arctic Global warming Sea ice Copernicus Publications: E-Journals Arctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The net Arctic sea-ice area (SIA) can be estimated from the sea-ice concentration (SIC) by passive microwave measurements from satellites. To be a truly useful metric, for example of the sensitivity of the Arctic sea-ice cover to global warming, we need, however, reliable estimates of its uncertainty. Here we retrieve this uncertainty by taking into account the spatial and temporal error correlations of the underlying local sea-ice concentration products. As 1 example year, we find that in 2015 the average observational uncertainties of the SIA are 306 000 km 2 for daily estimates, 275 000 km 2 for weekly estimates, and 164 000 km 2 for monthly estimates. The sea-ice extent (SIE) uncertainty for that year is slightly smaller, with 296 000 km 2 for daily estimates, 261 000 km 2 for weekly estimates, and 156 000 km 2 for monthly estimates. These daily uncertainties correspond to about 7 % of the 2015 sea-ice minimum and are about half of the spread in estimated SIA and SIE from different passive microwave SIC products. This shows that random SIC errors play a role in SIA uncertainties comparable to inter-SIC-product biases. We further show that the September SIA, which is traditionally the month with the least amount of Arctic sea ice, declined by 105 000±9000 km 2 a −1 for the period from 2002 to 2017. This is the first estimate of a SIA trend with an explicit representation of temporal error correlations.
format Text
author Wernecke, Andreas
Notz, Dirk
Kern, Stefan
Lavergne, Thomas
spellingShingle Wernecke, Andreas
Notz, Dirk
Kern, Stefan
Lavergne, Thomas
Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
author_facet Wernecke, Andreas
Notz, Dirk
Kern, Stefan
Lavergne, Thomas
author_sort Wernecke, Andreas
title Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
title_short Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
title_full Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
title_fullStr Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
title_full_unstemmed Estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
title_sort estimating the uncertainty of sea-ice area and sea-ice extent from satellite retrievals
publishDate 2024
url https://doi.org/10.5194/egusphere-2022-1189
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1189/
geographic Arctic
geographic_facet Arctic
genre Arctic
Global warming
Sea ice
genre_facet Arctic
Global warming
Sea ice
op_source eISSN:
op_relation doi:10.5194/egusphere-2022-1189
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-1189/
op_doi https://doi.org/10.5194/egusphere-2022-1189
_version_ 1802640597144567808