| Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data |
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| 作者姓名： | YU Qinglong WANG Hui WAN Liying BI Haibo |
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| 作者单位： | National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China;National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China;National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China;Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Graduate School, Chinese Academy of Sciences, Beijing 100049, China |
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| 基金项目： | The Youth Science Fund Project of the National Science Foundation of China under contract No. 41006016. |
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| 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 algorithm error estimation based on the field measurements was also completed.The errors suggest that the moderate 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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| 关 键 词： | sea-ice concentration AMSR-E antarctic LASI algorithm |
| 收稿时间： | 3/2/2012 12:00:00 AM |
| 修稿时间： | 2012/5/14 0:00:00 |
Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data |
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| 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. |
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| Authors: | YU Qinglong WANG Hui WAN Liying and BI Haibo |
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| Institution: | 1.National Marine Environmental Forecasting Center, State Oceanic Administration, Beijing 100081, China2.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;Graduate School, Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | 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 algorithm error estimation based on the field measurements was also completed. The errors suggest that the moderate 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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| Keywords: | sea-ice concentration AMSR-E antarctic LASI algorithm |
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