Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data
We report on results of an intercomparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution from satellite passive microwave (PMW) observations. For this we use SIC estimated from >350 images acquired in the visible–near-infrared frequency range by the joi...
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ftdoajarticles:oai:doaj.org/article:2a51e401b73a4825afef60e42460e8fc 2023-05-15T18:17:48+02:00 Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data S. Kern T. Lavergne L. T. Pedersen R. T. Tonboe L. Bell M. Meyer L. Zeigermann 2022-01-01T00:00:00Z https://doi.org/10.5194/tc-16-349-2022 https://doaj.org/article/2a51e401b73a4825afef60e42460e8fc EN eng Copernicus Publications https://tc.copernicus.org/articles/16/349/2022/tc-16-349-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-349-2022 1994-0416 1994-0424 https://doaj.org/article/2a51e401b73a4825afef60e42460e8fc The Cryosphere, Vol 16, Pp 349-378 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-349-2022 2022-12-31T04:10:49Z We report on results of an intercomparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution from satellite passive microwave (PMW) observations. For this we use SIC estimated from >350 images acquired in the visible–near-infrared frequency range by the joint National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS) Landsat sensor during the years 2003–2011 and 2013–2015. Conditions covered are late winter/early spring in the Northern Hemisphere and from late winter through fall freeze-up in the Southern Hemisphere. Among the products investigated are the four products of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) and European Space Agency (ESA) Climate Change Initiative (CCI) algorithms SICCI-2 and OSI-450. We stress the importance to consider intercomparison results across the entire SIC range instead of focusing on overall mean differences and to take into account known biases in PMW SIC products, e.g., for thin ice. We find superior linear agreement between PMW SIC and Landsat SIC for the 25 and the 50 km SICCI-2 products in both hemispheres. We discuss quantitatively various uncertainty sources of the evaluation carried out. First, depending on the number of mixed ocean–ice Landsat pixels classified erroneously as ice only, our Landsat SIC is found to be biased high. This applies to some of our Southern Hemisphere data, promotes an overly large fraction of Landsat SIC underestimation by PMW SIC products, and renders PMW SIC products overestimating Landsat SIC particularly problematic. Secondly, our main results are based on SIC data truncated to the range 0 % to 100 %. We demonstrate using non-truncated SIC values, where possible, can considerably improve linear agreement between PMW and Landsat SIC. Thirdly, we investigate the impact of filters often used to clean up the final products from spurious SIC over open water due to ... Article in Journal/Newspaper Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 16 1 349 378 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
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Environmental sciences GE1-350 Geology QE1-996.5 S. Kern T. Lavergne L. T. Pedersen R. T. Tonboe L. Bell M. Meyer L. Zeigermann Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
We report on results of an intercomparison of 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution from satellite passive microwave (PMW) observations. For this we use SIC estimated from >350 images acquired in the visible–near-infrared frequency range by the joint National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS) Landsat sensor during the years 2003–2011 and 2013–2015. Conditions covered are late winter/early spring in the Northern Hemisphere and from late winter through fall freeze-up in the Southern Hemisphere. Among the products investigated are the four products of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) and European Space Agency (ESA) Climate Change Initiative (CCI) algorithms SICCI-2 and OSI-450. We stress the importance to consider intercomparison results across the entire SIC range instead of focusing on overall mean differences and to take into account known biases in PMW SIC products, e.g., for thin ice. We find superior linear agreement between PMW SIC and Landsat SIC for the 25 and the 50 km SICCI-2 products in both hemispheres. We discuss quantitatively various uncertainty sources of the evaluation carried out. First, depending on the number of mixed ocean–ice Landsat pixels classified erroneously as ice only, our Landsat SIC is found to be biased high. This applies to some of our Southern Hemisphere data, promotes an overly large fraction of Landsat SIC underestimation by PMW SIC products, and renders PMW SIC products overestimating Landsat SIC particularly problematic. Secondly, our main results are based on SIC data truncated to the range 0 % to 100 %. We demonstrate using non-truncated SIC values, where possible, can considerably improve linear agreement between PMW and Landsat SIC. Thirdly, we investigate the impact of filters often used to clean up the final products from spurious SIC over open water due to ... |
format |
Article in Journal/Newspaper |
author |
S. Kern T. Lavergne L. T. Pedersen R. T. Tonboe L. Bell M. Meyer L. Zeigermann |
author_facet |
S. Kern T. Lavergne L. T. Pedersen R. T. Tonboe L. Bell M. Meyer L. Zeigermann |
author_sort |
S. Kern |
title |
Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
title_short |
Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
title_full |
Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
title_fullStr |
Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
title_full_unstemmed |
Satellite passive microwave sea-ice concentration data set intercomparison using Landsat data |
title_sort |
satellite passive microwave sea-ice concentration data set intercomparison using landsat data |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-349-2022 https://doaj.org/article/2a51e401b73a4825afef60e42460e8fc |
genre |
Sea ice The Cryosphere |
genre_facet |
Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 349-378 (2022) |
op_relation |
https://tc.copernicus.org/articles/16/349/2022/tc-16-349-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-349-2022 1994-0416 1994-0424 https://doaj.org/article/2a51e401b73a4825afef60e42460e8fc |
op_doi |
https://doi.org/10.5194/tc-16-349-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
1 |
container_start_page |
349 |
op_container_end_page |
378 |
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1766193107446005760 |