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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ftdatacite:10.1594/pangaea.945188 2024-06-09T07:40:23+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 https://dx.doi.org/10.1594/pangaea.945188 https://doi.pangaea.de/10.1594/PANGAEA.945188 en eng PANGAEA Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Antarctic Arctic FengYun-3 Microwave Radiation Imager sea ice concentration File content Binary Object Binary Object File Size Dataset dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.945188 2024-05-13T12:44:57Z 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 ... : The SIC dataset contains 6569 SIC files in TIFF format, 3314 of which are in the Arctic and 3255 of which are in the Antarctic. The size of all files is about 2 GB.The naming convention of SIC files is “FY_MWRI_SIC_DAILY_YYYYMMDD_Region.tif”, among which “YYYYMMDD” is the date and “Region” is the Arctic or Antarctic.The dataset also provides two error products. One is the bias between this MWRI-ASI SIC and SIC derived from the Special Sensor Microwave Imager (SSMI) series sensors using ASI algorithm, and the other is the bias between this MWRI-ASI SIC and SIC derived from the Advanced Microwave Scanning Radiometer (AMSR) series sensors using ASI algorithm. The former error product contains 6569 files in TIFF format, 3314 of which are in the Arctic and 3255 of which are in the Antarctic. Due to a data gap of the AMSR series sensors from 2011 to 2012, the latter error product contains 6014 files in TIFF format, 3034 of which are in the Arctic and 2980 of which are in the Antarctic.The naming convention of SIC ... Dataset Antarc* Antarctic Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic The Antarctic |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Antarctic Arctic FengYun-3 Microwave Radiation Imager sea ice concentration File content Binary Object Binary Object File Size |
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Antarctic Arctic FengYun-3 Microwave Radiation Imager sea ice concentration File content Binary Object Binary Object File Size 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 FengYun-3 Microwave Radiation Imager sea ice concentration File content Binary Object Binary Object File Size |
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 ... : The SIC dataset contains 6569 SIC files in TIFF format, 3314 of which are in the Arctic and 3255 of which are in the Antarctic. The size of all files is about 2 GB.The naming convention of SIC files is “FY_MWRI_SIC_DAILY_YYYYMMDD_Region.tif”, among which “YYYYMMDD” is the date and “Region” is the Arctic or Antarctic.The dataset also provides two error products. One is the bias between this MWRI-ASI SIC and SIC derived from the Special Sensor Microwave Imager (SSMI) series sensors using ASI algorithm, and the other is the bias between this MWRI-ASI SIC and SIC derived from the Advanced Microwave Scanning Radiometer (AMSR) series sensors using ASI algorithm. The former error product contains 6569 files in TIFF format, 3314 of which are in the Arctic and 3255 of which are in the Antarctic. Due to a data gap of the AMSR series sensors from 2011 to 2012, the latter error product contains 6014 files in TIFF format, 3034 of which are in the Arctic and 2980 of which are in the Antarctic.The naming convention of SIC ... |
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://dx.doi.org/10.1594/pangaea.945188 https://doi.pangaea.de/10.1594/PANGAEA.945188 |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.945188 |
_version_ |
1801383801346064384 |