Estimation of turbulent heat flux over leads using satellite thermal images
Sea ice leads are an important feature in pack ice in the Arctic. Even covered by thin ice, leads can still serve as prime windows for heat exchange between the atmosphere and the ocean, especially in the winter. Lead geometry and distribution in the Arctic have been studied using optical and microw...
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ftdoajarticles:oai:doaj.org/article:9c859c35ada94318bbbd6cb6296f7a2c 2023-05-15T15:02:18+02:00 Estimation of turbulent heat flux over leads using satellite thermal images M. Qu X. Pang X. Zhao J. Zhang Q. Ji P. Fan 2019-06-01T00:00:00Z https://doi.org/10.5194/tc-13-1565-2019 https://doaj.org/article/9c859c35ada94318bbbd6cb6296f7a2c EN eng Copernicus Publications https://www.the-cryosphere.net/13/1565/2019/tc-13-1565-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-1565-2019 1994-0416 1994-0424 https://doaj.org/article/9c859c35ada94318bbbd6cb6296f7a2c The Cryosphere, Vol 13, Pp 1565-1582 (2019) Environmental sciences GE1-350 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/tc-13-1565-2019 2022-12-31T10:15:24Z Sea ice leads are an important feature in pack ice in the Arctic. Even covered by thin ice, leads can still serve as prime windows for heat exchange between the atmosphere and the ocean, especially in the winter. Lead geometry and distribution in the Arctic have been studied using optical and microwave remote sensing data, but turbulent heat flux over leads has only been measured on-site during a few special expeditions. In this study, we derive turbulent heat flux through leads at different scales using a combination of surface temperature and lead distribution from remote sensing images and meteorological parameters from a reanalysis dataset. First, ice surface temperature (IST) was calculated from Landsat-8 Thermal Infrared Sensor (TIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS) thermal images using a split-window algorithm; then, lead pixels were segmented from colder ice. Heat flux over leads was estimated using two empirical models: bulk aerodynamic formulae and a fetch-limited model with lead width from Landsat-8. Results show that even though the lead area from MODIS is a little larger, the length of leads is underestimated by 72.9 % in MODIS data compared to TIRS data due to the inability to resolve small leads. Heat flux estimated from Landsat-8 TIRS data using bulk formulae is 56.70 % larger than that from MODIS data. When the fetch-limited model was applied, turbulent heat flux calculated from TIRS data is 32.34 % higher than that from bulk formulae. In both cases, small leads accounted for more than a quarter of total heat flux over leads, mainly due to the large area, though the heat flux estimated using the fetch-limited model is 41.39 % larger. A greater contribution from small leads can be expected with larger air–ocean temperature differences and stronger winds. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic The Cryosphere 13 6 1565 1582 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 M. Qu X. Pang X. Zhao J. Zhang Q. Ji P. Fan Estimation of turbulent heat flux over leads using satellite thermal images |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Sea ice leads are an important feature in pack ice in the Arctic. Even covered by thin ice, leads can still serve as prime windows for heat exchange between the atmosphere and the ocean, especially in the winter. Lead geometry and distribution in the Arctic have been studied using optical and microwave remote sensing data, but turbulent heat flux over leads has only been measured on-site during a few special expeditions. In this study, we derive turbulent heat flux through leads at different scales using a combination of surface temperature and lead distribution from remote sensing images and meteorological parameters from a reanalysis dataset. First, ice surface temperature (IST) was calculated from Landsat-8 Thermal Infrared Sensor (TIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS) thermal images using a split-window algorithm; then, lead pixels were segmented from colder ice. Heat flux over leads was estimated using two empirical models: bulk aerodynamic formulae and a fetch-limited model with lead width from Landsat-8. Results show that even though the lead area from MODIS is a little larger, the length of leads is underestimated by 72.9 % in MODIS data compared to TIRS data due to the inability to resolve small leads. Heat flux estimated from Landsat-8 TIRS data using bulk formulae is 56.70 % larger than that from MODIS data. When the fetch-limited model was applied, turbulent heat flux calculated from TIRS data is 32.34 % higher than that from bulk formulae. In both cases, small leads accounted for more than a quarter of total heat flux over leads, mainly due to the large area, though the heat flux estimated using the fetch-limited model is 41.39 % larger. A greater contribution from small leads can be expected with larger air–ocean temperature differences and stronger winds. |
format |
Article in Journal/Newspaper |
author |
M. Qu X. Pang X. Zhao J. Zhang Q. Ji P. Fan |
author_facet |
M. Qu X. Pang X. Zhao J. Zhang Q. Ji P. Fan |
author_sort |
M. Qu |
title |
Estimation of turbulent heat flux over leads using satellite thermal images |
title_short |
Estimation of turbulent heat flux over leads using satellite thermal images |
title_full |
Estimation of turbulent heat flux over leads using satellite thermal images |
title_fullStr |
Estimation of turbulent heat flux over leads using satellite thermal images |
title_full_unstemmed |
Estimation of turbulent heat flux over leads using satellite thermal images |
title_sort |
estimation of turbulent heat flux over leads using satellite thermal images |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/tc-13-1565-2019 https://doaj.org/article/9c859c35ada94318bbbd6cb6296f7a2c |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice The Cryosphere |
genre_facet |
Arctic Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 13, Pp 1565-1582 (2019) |
op_relation |
https://www.the-cryosphere.net/13/1565/2019/tc-13-1565-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-1565-2019 1994-0416 1994-0424 https://doaj.org/article/9c859c35ada94318bbbd6cb6296f7a2c |
op_doi |
https://doi.org/10.5194/tc-13-1565-2019 |
container_title |
The Cryosphere |
container_volume |
13 |
container_issue |
6 |
container_start_page |
1565 |
op_container_end_page |
1582 |
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