A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval
As changes to Earth's polar climate accelerate, the need for robust, long–term sea ice thickness observation datasets for monitoring those changes and for verification of global climate models is clear. By linking an algorithm for retrieving snow–ice interface temperature from passive microwave...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-16-4403-2022 https://tc.copernicus.org/articles/16/4403/2022/tc-16-4403-2022.pdf https://doaj.org/article/02f0c297adf54ddf9c3be180cadce9e5 |
id |
fttriple:oai:gotriple.eu:oai:doaj.org/article:02f0c297adf54ddf9c3be180cadce9e5 |
---|---|
record_format |
openpolar |
spelling |
fttriple:oai:gotriple.eu:oai:doaj.org/article:02f0c297adf54ddf9c3be180cadce9e5 2023-05-15T15:08:29+02:00 A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser Y. Liu J. R. Key 2022-10-01 https://doi.org/10.5194/tc-16-4403-2022 https://tc.copernicus.org/articles/16/4403/2022/tc-16-4403-2022.pdf https://doaj.org/article/02f0c297adf54ddf9c3be180cadce9e5 en eng Copernicus Publications doi:10.5194/tc-16-4403-2022 1994-0416 1994-0424 https://tc.copernicus.org/articles/16/4403/2022/tc-16-4403-2022.pdf https://doaj.org/article/02f0c297adf54ddf9c3be180cadce9e5 undefined The Cryosphere, Vol 16, Pp 4403-4421 (2022) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.5194/tc-16-4403-2022 2023-01-22T19:27:26Z As changes to Earth's polar climate accelerate, the need for robust, long–term sea ice thickness observation datasets for monitoring those changes and for verification of global climate models is clear. By linking an algorithm for retrieving snow–ice interface temperature from passive microwave satellite data to a thermodynamic sea ice energy balance relation known as Stefan's law, we have developed a retrieval method for estimating thermodynamic sea ice thickness growth from space: Stefan's Law Integrated Conducted Energy (SLICE). With an initial condition at the beginning of the sea ice growth season, the method can model basin-wide absolute sea ice thickness by combining the one-dimensional SLICE retrieval with an ice motion dataset. The advantages of the SLICE retrieval method include daily basin-wide coverage, lack of atmospheric reanalysis product input requirement, and a potential for use beginning in 1987. Validation of the retrieval against measurements from 10 ice mass balance buoys shows a mean correlation of 0.89 and a mean bias of 0.06 m over the course of an entire sea ice growth season. Despite its simplifications and assumptions relative to models like the Pan-Arctic Ice–Ocean Modeling and Assimilation System (PIOMAS), basin-wide SLICE performs nearly as well as PIOMAS when compared against CryoSat-2 and Operation IceBridge using a linear correlation between collocated points. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Unknown Arctic The Cryosphere 16 10 4403 4421 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
geo envir |
spellingShingle |
geo envir J. Anheuser Y. Liu J. R. Key A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
topic_facet |
geo envir |
description |
As changes to Earth's polar climate accelerate, the need for robust, long–term sea ice thickness observation datasets for monitoring those changes and for verification of global climate models is clear. By linking an algorithm for retrieving snow–ice interface temperature from passive microwave satellite data to a thermodynamic sea ice energy balance relation known as Stefan's law, we have developed a retrieval method for estimating thermodynamic sea ice thickness growth from space: Stefan's Law Integrated Conducted Energy (SLICE). With an initial condition at the beginning of the sea ice growth season, the method can model basin-wide absolute sea ice thickness by combining the one-dimensional SLICE retrieval with an ice motion dataset. The advantages of the SLICE retrieval method include daily basin-wide coverage, lack of atmospheric reanalysis product input requirement, and a potential for use beginning in 1987. Validation of the retrieval against measurements from 10 ice mass balance buoys shows a mean correlation of 0.89 and a mean bias of 0.06 m over the course of an entire sea ice growth season. Despite its simplifications and assumptions relative to models like the Pan-Arctic Ice–Ocean Modeling and Assimilation System (PIOMAS), basin-wide SLICE performs nearly as well as PIOMAS when compared against CryoSat-2 and Operation IceBridge using a linear correlation between collocated points. |
format |
Article in Journal/Newspaper |
author |
J. Anheuser Y. Liu J. R. Key |
author_facet |
J. Anheuser Y. Liu J. R. Key |
author_sort |
J. Anheuser |
title |
A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
title_short |
A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
title_full |
A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
title_fullStr |
A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
title_full_unstemmed |
A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
title_sort |
simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-4403-2022 https://tc.copernicus.org/articles/16/4403/2022/tc-16-4403-2022.pdf https://doaj.org/article/02f0c297adf54ddf9c3be180cadce9e5 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 4403-4421 (2022) |
op_relation |
doi:10.5194/tc-16-4403-2022 1994-0416 1994-0424 https://tc.copernicus.org/articles/16/4403/2022/tc-16-4403-2022.pdf https://doaj.org/article/02f0c297adf54ddf9c3be180cadce9e5 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-16-4403-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
10 |
container_start_page |
4403 |
op_container_end_page |
4421 |
_version_ |
1766339846625820672 |