Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data

YU Qinglong WANG Hui WAN Liying BI Haibo

YUQinglong, WANGHui, WANLiying, BIHaibo. Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data[J]. 海洋学报英文版, 2013, 32(9): 38-43. doi: 10.1007/s13131-013-0350-0
引用本文: YUQinglong, WANGHui, WANLiying, BIHaibo. Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data[J]. 海洋学报英文版, 2013, 32(9): 38-43. doi: 10.1007/s13131-013-0350-0
YU Qinglong, WANG Hui, WAN Liying, BI Haibo. Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data[J]. Acta Oceanologica Sinica, 2013, 32(9): 38-43. doi: 10.1007/s13131-013-0350-0
Citation: YU Qinglong, WANG Hui, WAN Liying, BI Haibo. Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data[J]. Acta Oceanologica Sinica, 2013, 32(9): 38-43. doi: 10.1007/s13131-013-0350-0

Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data

doi: 10.1007/s13131-013-0350-0
基金项目: The Youth Science Fund Project of the National Science Foundation of China under contract No. 41006016.

Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data

  • 摘要: Sea-ice concentration is a key item in global climate change research. Recent progress in remotely sensed sea-ice concentration product has been stimulated by the use of a new sensor, advanced microwave scanning radiometer for EOS (AMSR-E), which offers a spatial resolution of 6 km×4 km at 89GHz. A new inversion algorithm named LASI (linear ASI) using AMSR-E 89GHz data was proposed and applied in the antarctic sea areas. And then comparisons between the LASI ice concentration products and those retrieved by the other two standard algorithms, ASI (arctic radiation and turbulence interaction study sea-ice algorithm) and bootstrap, were made. Both the spatial and temporal variability patterns of ice concentration differences, LASI minus ASI and LASI minus bootstrap, were investigated. Comparative data suggest a high result consistency, especially between LASI and ASI. On the other hand, in order to estimate the LASI ice concentration errors introduced by the tie-points uncertainties, a sensitivity analysis was carried out. Additionally an LASI algorithmerror estimation based on the field measurements was also completed. The errors suggest that themoderate to high ice concentration areas (>70%) are less affected (never exceeding 10%) than those in the low ice concentration. LASI and ASI consume 75 and 112 s respectively when processing the same AMSR-E time series thourghout the year 2010. To conclude, by using the LASI algorithm, not only the seaice concentration can be retrieved with at least an equal quality as that of the two extensively demonstrated operational algorithms, ASI and bootstrap, but also in a more efficient way than ASI.
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出版历程
  • 收稿日期:  2012-03-02
  • 修回日期:  2012-05-14

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