Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019

This sea ice concentration dataset (SIC) was derived from the re-calibrated brightness temperature of the Microwave Radiation Imager (MWRI) sensors. The MWRI sensors are onboard the Chinese second generation of sun-synchronous meteorological satellites, i.e., FY-3A, FY-3B, FY-3C, and FY-3D, which we...

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Main Authors: Chen, Ying, Pang, Xiaoping, Lei, Ruibo, Zhao, X
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.945188
https://doi.org/10.1594/PANGAEA.945188
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.945188
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.945188 2024-06-23T07:45:52+00:00 Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019 Chen, Ying Pang, Xiaoping Lei, Ruibo Zhao, X 2022 text/tab-separated-values, 6 data points https://doi.pangaea.de/10.1594/PANGAEA.945188 https://doi.org/10.1594/PANGAEA.945188 en eng PANGAEA Supplements (2022). https://download.pangaea.de/reference/113210/attachments/Supplements.pdf https://doi.pangaea.de/10.1594/PANGAEA.945188 https://doi.org/10.1594/PANGAEA.945188 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Antarctic Arctic Binary Object Binary Object (File Size) FengYun-3 File content Microwave Radiation Imager sea ice concentration Dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.945188 2024-06-12T14:17:12Z This sea ice concentration dataset (SIC) was derived from the re-calibrated brightness temperature of the Microwave Radiation Imager (MWRI) sensors. The MWRI sensors are onboard the Chinese second generation of sun-synchronous meteorological satellites, i.e., FY-3A, FY-3B, FY-3C, and FY-3D, which were launched in 2008. The advanced Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm involving dynamic tie points was adopted to retrieve this SIC dataset. The MWRI-ASI SIC dataset was projected onto the polar stereographic grid true at 70 degrees at a 12.5-km spatial resolution in the Arctic and Antarctic. The time coverage of this dataset is from 12 November 2010 to 31 December 2019 with a temporary loss of 23 days in the Arctic and 82 days in the Antarctic. The MWRI-ASI SIC dataset is achieved in TIFF format. The data values have specific meanings: '0-100' for the percentage of SIC, '-1' for land, '-2' for the Pole Hole, and 'NoData' for missing data. The accuracy of this dataset was assessed by ship-based observational SIC. A total of 8887 and 3882 samples of SIC observations were used in the Arctic and Antarctic, respectively. The differences between this MWRI SIC and ship-based SIC are concentrated from -20% to 20% with the overall mean absolute deviation of 16.1% in the Arctic and 17.1% in the Antarctic, respectively. The treads of sea ice extent obtained from this MWRI-ASI SIC for both Arctic and Antarctic are consistent with those from the Sea Ice Index provided by the Ocean and Sea Ice Satellite Application Facility Norwegian Meteorological Institute (OSI-SAF) and the NASA National Snow and Ice Data Center (NSIDC). This dataset can be considered as an important backup of sea ice concentration or extent passive microwave products for multidisciplinary studies in the polar regions and beyond. Dataset Antarc* Antarctic Arctic National Snow and Ice Data Center Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Antarctic Arctic The Antarctic
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Antarctic
Arctic
Binary Object
Binary Object (File Size)
FengYun-3
File content
Microwave Radiation Imager
sea ice concentration
spellingShingle Antarctic
Arctic
Binary Object
Binary Object (File Size)
FengYun-3
File content
Microwave Radiation Imager
sea ice concentration
Chen, Ying
Pang, Xiaoping
Lei, Ruibo
Zhao, X
Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
topic_facet Antarctic
Arctic
Binary Object
Binary Object (File Size)
FengYun-3
File content
Microwave Radiation Imager
sea ice concentration
description This sea ice concentration dataset (SIC) was derived from the re-calibrated brightness temperature of the Microwave Radiation Imager (MWRI) sensors. The MWRI sensors are onboard the Chinese second generation of sun-synchronous meteorological satellites, i.e., FY-3A, FY-3B, FY-3C, and FY-3D, which were launched in 2008. The advanced Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm involving dynamic tie points was adopted to retrieve this SIC dataset. The MWRI-ASI SIC dataset was projected onto the polar stereographic grid true at 70 degrees at a 12.5-km spatial resolution in the Arctic and Antarctic. The time coverage of this dataset is from 12 November 2010 to 31 December 2019 with a temporary loss of 23 days in the Arctic and 82 days in the Antarctic. The MWRI-ASI SIC dataset is achieved in TIFF format. The data values have specific meanings: '0-100' for the percentage of SIC, '-1' for land, '-2' for the Pole Hole, and 'NoData' for missing data. The accuracy of this dataset was assessed by ship-based observational SIC. A total of 8887 and 3882 samples of SIC observations were used in the Arctic and Antarctic, respectively. The differences between this MWRI SIC and ship-based SIC are concentrated from -20% to 20% with the overall mean absolute deviation of 16.1% in the Arctic and 17.1% in the Antarctic, respectively. The treads of sea ice extent obtained from this MWRI-ASI SIC for both Arctic and Antarctic are consistent with those from the Sea Ice Index provided by the Ocean and Sea Ice Satellite Application Facility Norwegian Meteorological Institute (OSI-SAF) and the NASA National Snow and Ice Data Center (NSIDC). This dataset can be considered as an important backup of sea ice concentration or extent passive microwave products for multidisciplinary studies in the polar regions and beyond.
format Dataset
author Chen, Ying
Pang, Xiaoping
Lei, Ruibo
Zhao, X
author_facet Chen, Ying
Pang, Xiaoping
Lei, Ruibo
Zhao, X
author_sort Chen, Ying
title Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
title_short Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
title_full Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
title_fullStr Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
title_full_unstemmed Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019
title_sort sea ice concentration derived from temperature brightness data of the microwave radiation imager sensors onboard the chinese fengyun-3 satellites in the polar regions from 2010 to 2019
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.945188
https://doi.org/10.1594/PANGAEA.945188
geographic Antarctic
Arctic
The Antarctic
geographic_facet Antarctic
Arctic
The Antarctic
genre Antarc*
Antarctic
Arctic
National Snow and Ice Data Center
Sea ice
genre_facet Antarc*
Antarctic
Arctic
National Snow and Ice Data Center
Sea ice
op_relation Supplements (2022). https://download.pangaea.de/reference/113210/attachments/Supplements.pdf
https://doi.pangaea.de/10.1594/PANGAEA.945188
https://doi.org/10.1594/PANGAEA.945188
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.945188
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