Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment

Link:
Autor/in:
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • Ice Thickness
  • Cryosat
  • Arctic Ocean
  • Climate Models
  • Model
  • Rainfall
  • Ice Thickness
  • Cryosat
  • Arctic Ocean
  • Climate Models
  • Model
  • Rainfall
  • Microwave Radiation Imager (MWRI) brightness temperature (TB) data
  • Microwave FET integrated circuits
  • Microwave integrated circuits
  • Silicon carbide
  • sea ice concentration (SIC)
  • Accuracy assessment
  • Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) dynamic tie points
  • Sensors
  • Microwave radiometry
  • Microwave imaging
  • Sea ice
Beschreibung:
  • The Microwave Radiation Imager (MWRI) sensors aboard on the Chinese FengYun-3 (FY-3) series satellites have a great potential for long-term study of sea ice distribution. This study corrected the newly released FY-3D MWRI brightness temperature (TB) data with the Advanced Microwave Scanning Radiometer 2 (AMSR2) TB data and used an Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) dynamic tie points algorithm to derive the sea ice concentration (SIC) from these corrected MWRI TB data. We assessed the accuracy of our MWRI-ASI SIC product by comparing with the published SIC products at different spatial resolution and by validating with the Moderate Resolution Imaging Spectroradiometer (MODIS) and Sentinel-1 data. We find that MWRI-ASI SIC has the smallest difference with AMSR2-ASI SIC with the mean absolute difference (MAD) of 6.8%, and the differences mainly occur at the marginal ice zone regions. The MWRI-ASI displays the highest difference with Sea Ice Index and OSI-430-b at 25 km with the mean MAD of 11.8%. MADs between MWRI-ASI SIC and SIC products from other sensors are below 10% except for late June to early October, when those are higher. Compared with the MODIS SIC, MWRI-ASI SIC outperforms other SIC products at the same resolution, with the mean bias of -2.1% and mean RMSD of 13.5%. Although MWRI-ASI tends to under-estimate high SIC, it can capture details of large leads, ice edge, and fragmented ice area. Our MWRI-ASI SIC product at 12.5 km is promising to integrate into long-term sea ice records.
Lizenz:
  • info:eu-repo/semantics/openAccess
Quellsystem:
Forschungsinformationssystem der UHH

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oai:www.edit.fis.uni-hamburg.de:publications/04d8854c-75a2-4451-862b-8906e46a5251