Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic

This Arctic daily sea ice concentration dataset (SIC) at 12.5 km resolution generated from the brightness temperature (TB) of the Microwave Radiation Imager (MWRI) sensor aboard on the FY-3D satellite, were produced by Chinese Antarctic Center of Surveying and Mapping, Wuhan University. FY-3D MWRI L...

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Bibliographic Details
Main Authors: Ying Chen, Xi Zhao, Xiaoping Pang, Qing Ji
Format: Dataset
Language:English
Published: Science Data Bank 2020
Subjects:
Online Access:https://doi.org/10.11922/sciencedb.00137
id ftsciendatabank:10.11922/sciencedb.00137
record_format openpolar
spelling ftsciendatabank:10.11922/sciencedb.00137 2023-05-15T13:51:59+02:00 Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic Ying Chen Xi Zhao Xiaoping Pang Qing Ji 2020-07-31 https://doi.org/10.11922/sciencedb.00137 en eng Science Data Bank http://www.doi.org/10.1080/20964471.2020.1865623 doi:10.11922/sciencedb.00137 PUBLIC https://creativecommons.org/licenses/by/4.0/ CC-BY sea ice concentration FY-3D MWRI brightness temperature Arctic Earth science dataset 2020 ftsciendatabank https://doi.org/10.11922/sciencedb.00137 https://doi.org/10.1080/20964471.2020.1865623 2022-01-08T14:27:53Z This Arctic daily sea ice concentration dataset (SIC) at 12.5 km resolution generated from the brightness temperature (TB) of the Microwave Radiation Imager (MWRI) sensor aboard on the FY-3D satellite, were produced by Chinese Antarctic Center of Surveying and Mapping, Wuhan University. FY-3D MWRI Level 1 swath data were acquired from the Chinese National Satellite Meteorological Center (http://data.nsmc.org.cn). After geolocation and calibration, all swaths TB data of one calendar day were resampled and combined into the 12.5 km polar stereographic grid. The ASI dynamic tie-points algorithm was adopted to generate daily sea ice concentration data from January 2018 to June 2020. The qualities of this dataset have been assessed by the cross validation from Moderate Resolution Imaging Spectroradiometer (MODIS) images with higher spatial resolution (250m). The absolute biases between the daily MWRI SIC and MODIS SIC ranged from 0.16% to 13.42%. Inter-comparison were also made to MWRI SIC product based on the NT2 algorithm published by the Chinese National Satellite Meteorological Center. Results suggest that this dataset has better capability of capturing large leads features, identifying the small opening and delineating ice boundary shape. This dataset would provide valuable sea ice concentration record for global climate change studies, or basic information for sea ice thickness estimation, snow cover thickness retrieval and navigation route design. Detailed descriptions and validation of this dataset will be soon available on Earth System Science Data. The dataset consists of following two parts: the result of dynamic tie points and the Arctic MWRI SIC product. The dynamic tie points are stored in XLSX format, called ‘dynamic tie points_2018.01-2020.06.xlsx’. The SIC dataset from January 2018 to June 2020 are achieved in TIFF format with the date in the file name. Pixel values in TIFF files have specific meanings: ‘1-100’ for the percentage of SIC, ‘0’ for open water, ‘-1’ for land, ‘-2’ for the Pole Hole and ‘NoData’ for missing data. Dataset Antarc* Antarctic Arctic Climate change Sea ice Science Data Bank (ScienceDB) Antarctic Arctic
institution Open Polar
collection Science Data Bank (ScienceDB)
op_collection_id ftsciendatabank
language English
topic sea ice concentration
FY-3D
MWRI
brightness temperature
Arctic
Earth science
spellingShingle sea ice concentration
FY-3D
MWRI
brightness temperature
Arctic
Earth science
Ying Chen
Xi Zhao
Xiaoping Pang
Qing Ji
Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
topic_facet sea ice concentration
FY-3D
MWRI
brightness temperature
Arctic
Earth science
description This Arctic daily sea ice concentration dataset (SIC) at 12.5 km resolution generated from the brightness temperature (TB) of the Microwave Radiation Imager (MWRI) sensor aboard on the FY-3D satellite, were produced by Chinese Antarctic Center of Surveying and Mapping, Wuhan University. FY-3D MWRI Level 1 swath data were acquired from the Chinese National Satellite Meteorological Center (http://data.nsmc.org.cn). After geolocation and calibration, all swaths TB data of one calendar day were resampled and combined into the 12.5 km polar stereographic grid. The ASI dynamic tie-points algorithm was adopted to generate daily sea ice concentration data from January 2018 to June 2020. The qualities of this dataset have been assessed by the cross validation from Moderate Resolution Imaging Spectroradiometer (MODIS) images with higher spatial resolution (250m). The absolute biases between the daily MWRI SIC and MODIS SIC ranged from 0.16% to 13.42%. Inter-comparison were also made to MWRI SIC product based on the NT2 algorithm published by the Chinese National Satellite Meteorological Center. Results suggest that this dataset has better capability of capturing large leads features, identifying the small opening and delineating ice boundary shape. This dataset would provide valuable sea ice concentration record for global climate change studies, or basic information for sea ice thickness estimation, snow cover thickness retrieval and navigation route design. Detailed descriptions and validation of this dataset will be soon available on Earth System Science Data. The dataset consists of following two parts: the result of dynamic tie points and the Arctic MWRI SIC product. The dynamic tie points are stored in XLSX format, called ‘dynamic tie points_2018.01-2020.06.xlsx’. The SIC dataset from January 2018 to June 2020 are achieved in TIFF format with the date in the file name. Pixel values in TIFF files have specific meanings: ‘1-100’ for the percentage of SIC, ‘0’ for open water, ‘-1’ for land, ‘-2’ for the Pole Hole and ‘NoData’ for missing data.
format Dataset
author Ying Chen
Xi Zhao
Xiaoping Pang
Qing Ji
author_facet Ying Chen
Xi Zhao
Xiaoping Pang
Qing Ji
author_sort Ying Chen
title Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
title_short Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
title_full Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
title_fullStr Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
title_full_unstemmed Sea ice concentrations from FY-3D MWRI passive Microwave Data in the Arctic
title_sort sea ice concentrations from fy-3d mwri passive microwave data in the arctic
publisher Science Data Bank
publishDate 2020
url https://doi.org/10.11922/sciencedb.00137
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
genre Antarc*
Antarctic
Arctic
Climate change
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Climate change
Sea ice
op_relation http://www.doi.org/10.1080/20964471.2020.1865623
doi:10.11922/sciencedb.00137
op_rights PUBLIC
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.11922/sciencedb.00137
https://doi.org/10.1080/20964471.2020.1865623
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