Improving model-satellite comparisons of sea ice melt onset with a satellite simulator

Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: A. Smith, A. Jahn, C. Burgard, D. Notz
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-3235-2022
https://doaj.org/article/0f2b9be061064fc98b20e98fa7d3658c
id ftdoajarticles:oai:doaj.org/article:0f2b9be061064fc98b20e98fa7d3658c
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:0f2b9be061064fc98b20e98fa7d3658c 2023-05-15T14:54:11+02:00 Improving model-satellite comparisons of sea ice melt onset with a satellite simulator A. Smith A. Jahn C. Burgard D. Notz 2022-08-01T00:00:00Z https://doi.org/10.5194/tc-16-3235-2022 https://doaj.org/article/0f2b9be061064fc98b20e98fa7d3658c EN eng Copernicus Publications https://tc.copernicus.org/articles/16/3235/2022/tc-16-3235-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-3235-2022 1994-0416 1994-0424 https://doaj.org/article/0f2b9be061064fc98b20e98fa7d3658c The Cryosphere, Vol 16, Pp 3235-3248 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-3235-2022 2022-12-30T20:45:21Z Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, while climate models do not currently simulate brightness temperatures, and must therefore define melt onset with other modeled variables. Here we adapt a passive microwave sea ice satellite simulator, the Arctic Ocean Observation Operator (ARC3O), to produce simulated brightness temperatures that can be used to diagnose the timing of the earliest snowmelt in climate models, as we show here using Community Earth System Model version 2 (CESM2) ocean-ice hindcasts. By producing simulated brightness temperatures and earliest snowmelt estimation dates using CESM2 and ARC3O, we facilitate new and previously impossible comparisons between the model and satellite observations by removing the uncertainty that arises due to definition differences. Direct comparisons between the model and satellite data allow us to identify an early bias across large areas of the Arctic at the beginning of the CESM2 ocean-ice hindcast melt season, as well as improve our understanding of the physical processes underlying seasonal changes in brightness temperatures. In particular, the ARC3O allows us to show that satellite algorithm-based melt onset dates likely occur after significant snowmelt has already taken place. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean The Cryosphere 16 8 3235 3248
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
A. Smith
A. Jahn
C. Burgard
D. Notz
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, while climate models do not currently simulate brightness temperatures, and must therefore define melt onset with other modeled variables. Here we adapt a passive microwave sea ice satellite simulator, the Arctic Ocean Observation Operator (ARC3O), to produce simulated brightness temperatures that can be used to diagnose the timing of the earliest snowmelt in climate models, as we show here using Community Earth System Model version 2 (CESM2) ocean-ice hindcasts. By producing simulated brightness temperatures and earliest snowmelt estimation dates using CESM2 and ARC3O, we facilitate new and previously impossible comparisons between the model and satellite observations by removing the uncertainty that arises due to definition differences. Direct comparisons between the model and satellite data allow us to identify an early bias across large areas of the Arctic at the beginning of the CESM2 ocean-ice hindcast melt season, as well as improve our understanding of the physical processes underlying seasonal changes in brightness temperatures. In particular, the ARC3O allows us to show that satellite algorithm-based melt onset dates likely occur after significant snowmelt has already taken place.
format Article in Journal/Newspaper
author A. Smith
A. Jahn
C. Burgard
D. Notz
author_facet A. Smith
A. Jahn
C. Burgard
D. Notz
author_sort A. Smith
title Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
title_short Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
title_full Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
title_fullStr Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
title_full_unstemmed Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
title_sort improving model-satellite comparisons of sea ice melt onset with a satellite simulator
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/tc-16-3235-2022
https://doaj.org/article/0f2b9be061064fc98b20e98fa7d3658c
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 16, Pp 3235-3248 (2022)
op_relation https://tc.copernicus.org/articles/16/3235/2022/tc-16-3235-2022.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-16-3235-2022
1994-0416
1994-0424
https://doaj.org/article/0f2b9be061064fc98b20e98fa7d3658c
op_doi https://doi.org/10.5194/tc-16-3235-2022
container_title The Cryosphere
container_volume 16
container_issue 8
container_start_page 3235
op_container_end_page 3248
_version_ 1766325916787539968