Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies
We present a quantitative network design (QND) study of the Arctic sea ice–ocean system using a software tool that can evaluate hypothetical observational networks in a variational data assimilation system. For a demonstration, we evaluate two idealised flight transects derived from NASA's Oper...
Published in: | The Cryosphere |
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ftdoajarticles:oai:doaj.org/article:2def593d59554c769057dda43dd133a6 2023-05-15T14:56:18+02:00 Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies T. Kaminski F. Kauker H. Eicken M. Karcher 2015-08-01T00:00:00Z https://doi.org/10.5194/tc-9-1721-2015 https://doaj.org/article/2def593d59554c769057dda43dd133a6 EN eng Copernicus Publications http://www.the-cryosphere.net/9/1721/2015/tc-9-1721-2015.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-9-1721-2015 https://doaj.org/article/2def593d59554c769057dda43dd133a6 The Cryosphere, Vol 9, Iss 4, Pp 1721-1733 (2015) Environmental sciences GE1-350 Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/tc-9-1721-2015 2022-12-31T03:13:34Z We present a quantitative network design (QND) study of the Arctic sea ice–ocean system using a software tool that can evaluate hypothetical observational networks in a variational data assimilation system. For a demonstration, we evaluate two idealised flight transects derived from NASA's Operation IceBridge airborne ice surveys in terms of their potential to improve 10-day to 5-month sea ice forecasts. As target regions for the forecasts we select the Chukchi Sea, an area particularly relevant for maritime traffic and offshore resource exploration, as well as two areas related to the Barnett ice severity index (BSI), a standard measure of shipping conditions along the Alaskan coast that is routinely issued by ice services. Our analysis quantifies the benefits of sampling upstream of the target area and of reducing the sampling uncertainty. We demonstrate how observations of sea ice and snow thickness can constrain ice and snow variables in a target region and quantify the complementarity of combining two flight transects. We further quantify the benefit of improved atmospheric forecasts and a well-calibrated model. Article in Journal/Newspaper Arctic Chukchi Chukchi Sea Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Chukchi Sea The Cryosphere 9 4 1721 1733 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 T. Kaminski F. Kauker H. Eicken M. Karcher Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
We present a quantitative network design (QND) study of the Arctic sea ice–ocean system using a software tool that can evaluate hypothetical observational networks in a variational data assimilation system. For a demonstration, we evaluate two idealised flight transects derived from NASA's Operation IceBridge airborne ice surveys in terms of their potential to improve 10-day to 5-month sea ice forecasts. As target regions for the forecasts we select the Chukchi Sea, an area particularly relevant for maritime traffic and offshore resource exploration, as well as two areas related to the Barnett ice severity index (BSI), a standard measure of shipping conditions along the Alaskan coast that is routinely issued by ice services. Our analysis quantifies the benefits of sampling upstream of the target area and of reducing the sampling uncertainty. We demonstrate how observations of sea ice and snow thickness can constrain ice and snow variables in a target region and quantify the complementarity of combining two flight transects. We further quantify the benefit of improved atmospheric forecasts and a well-calibrated model. |
format |
Article in Journal/Newspaper |
author |
T. Kaminski F. Kauker H. Eicken M. Karcher |
author_facet |
T. Kaminski F. Kauker H. Eicken M. Karcher |
author_sort |
T. Kaminski |
title |
Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
title_short |
Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
title_full |
Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
title_fullStr |
Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
title_full_unstemmed |
Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies |
title_sort |
exploring the utility of quantitative network design in evaluating arctic sea ice thickness sampling strategies |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/tc-9-1721-2015 https://doaj.org/article/2def593d59554c769057dda43dd133a6 |
geographic |
Arctic Chukchi Sea |
geographic_facet |
Arctic Chukchi Sea |
genre |
Arctic Chukchi Chukchi Sea Sea ice The Cryosphere |
genre_facet |
Arctic Chukchi Chukchi Sea Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 9, Iss 4, Pp 1721-1733 (2015) |
op_relation |
http://www.the-cryosphere.net/9/1721/2015/tc-9-1721-2015.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-9-1721-2015 https://doaj.org/article/2def593d59554c769057dda43dd133a6 |
op_doi |
https://doi.org/10.5194/tc-9-1721-2015 |
container_title |
The Cryosphere |
container_volume |
9 |
container_issue |
4 |
container_start_page |
1721 |
op_container_end_page |
1733 |
_version_ |
1766328316542844928 |