The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output

We explore the feasibility of an observation operator producing passive microwave brightness temperatures for sea ice at a frequency of 6.9 GHz. We investigate the influence of simplifying assumptions for the representation of sea ice vertical properties on the simulation of microwave brightness tem...

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Published in:The Cryosphere
Main Authors: C. Burgard, D. Notz, L. T. Pedersen, R. T. Tonboe
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/tc-14-2369-2020
https://doaj.org/article/9191f886969a4b50bea3e233f39d0c31
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spelling ftdoajarticles:oai:doaj.org/article:9191f886969a4b50bea3e233f39d0c31 2023-05-15T15:10:01+02:00 The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard D. Notz L. T. Pedersen R. T. Tonboe 2020-07-01T00:00:00Z https://doi.org/10.5194/tc-14-2369-2020 https://doaj.org/article/9191f886969a4b50bea3e233f39d0c31 EN eng Copernicus Publications https://tc.copernicus.org/articles/14/2369/2020/tc-14-2369-2020.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-14-2369-2020 1994-0416 1994-0424 https://doaj.org/article/9191f886969a4b50bea3e233f39d0c31 The Cryosphere, Vol 14, Pp 2369-2386 (2020) Environmental sciences GE1-350 Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.5194/tc-14-2369-2020 2022-12-30T23:03:56Z We explore the feasibility of an observation operator producing passive microwave brightness temperatures for sea ice at a frequency of 6.9 GHz. We investigate the influence of simplifying assumptions for the representation of sea ice vertical properties on the simulation of microwave brightness temperatures. We do so in a one-dimensional setup, using a complex 1D thermodynamic sea ice model and a 1D microwave emission model. We find that realistic brightness temperatures can be simulated in cold conditions from a simplified linear temperature profile and a simplified salinity profile as a function of depth in the ice. These realistic brightness temperatures can be obtained based on profiles interpolated to as few as five layers. Most of the uncertainty resulting from the simplifications is introduced by the simplification of the salinity profiles. In warm conditions, the simplified salinity profiles lead to brine volume fractions that are too high in the subsurface layer. To overcome this limitation, we suggest using a constant brightness temperature for the ice during warm conditions and treating melt ponds as water surfaces. Finally, in our setup, we cannot assess the effect of wet snow properties. As periods of snow with intermediate moisture content, typically occurring in spring and fall, locally last for less than a month, our approach allows one to estimate realistic brightness temperatures at 6.9 GHz from climate model output for most of the year. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean The Cryosphere 14 7 2369 2386
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
C. Burgard
D. Notz
L. T. Pedersen
R. T. Tonboe
The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description We explore the feasibility of an observation operator producing passive microwave brightness temperatures for sea ice at a frequency of 6.9 GHz. We investigate the influence of simplifying assumptions for the representation of sea ice vertical properties on the simulation of microwave brightness temperatures. We do so in a one-dimensional setup, using a complex 1D thermodynamic sea ice model and a 1D microwave emission model. We find that realistic brightness temperatures can be simulated in cold conditions from a simplified linear temperature profile and a simplified salinity profile as a function of depth in the ice. These realistic brightness temperatures can be obtained based on profiles interpolated to as few as five layers. Most of the uncertainty resulting from the simplifications is introduced by the simplification of the salinity profiles. In warm conditions, the simplified salinity profiles lead to brine volume fractions that are too high in the subsurface layer. To overcome this limitation, we suggest using a constant brightness temperature for the ice during warm conditions and treating melt ponds as water surfaces. Finally, in our setup, we cannot assess the effect of wet snow properties. As periods of snow with intermediate moisture content, typically occurring in spring and fall, locally last for less than a month, our approach allows one to estimate realistic brightness temperatures at 6.9 GHz from climate model output for most of the year.
format Article in Journal/Newspaper
author C. Burgard
D. Notz
L. T. Pedersen
R. T. Tonboe
author_facet C. Burgard
D. Notz
L. T. Pedersen
R. T. Tonboe
author_sort C. Burgard
title The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
title_short The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
title_full The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
title_fullStr The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
title_full_unstemmed The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output
title_sort arctic ocean observation operator for 6.9 ghz (arc3o) – part 1: how to obtain sea ice brightness temperatures at 6.9 ghz from climate model output
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/tc-14-2369-2020
https://doaj.org/article/9191f886969a4b50bea3e233f39d0c31
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 14, Pp 2369-2386 (2020)
op_relation https://tc.copernicus.org/articles/14/2369/2020/tc-14-2369-2020.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-14-2369-2020
1994-0416
1994-0424
https://doaj.org/article/9191f886969a4b50bea3e233f39d0c31
op_doi https://doi.org/10.5194/tc-14-2369-2020
container_title The Cryosphere
container_volume 14
container_issue 7
container_start_page 2369
op_container_end_page 2386
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