ADVANCES IN POLAR SCIENCE ›› 2013, Vol. 25 ›› Issue (3): 278-283.

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ATMOSPHERIC CO2 ALGORITHM BASED ON THE 24TH CRUISE OF CHINARE AND ITS APPLICATION TO THE 26TH CRUISE

  Chen Haiying1,Jiang Mengzhen1,Hao Zengzhou2,Liang Ji3,Xu Suqing1,Chen Liqi1,Xie Xin1   

  1.  
    1Third Institute of Oceanography, State Oceanic Administration, Fujian 361005, China; 2State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Hangzhou 310012, China;
    3Institute of Cold and Arid Regions Environmental and Engineering Research of Chinese Academy of Sciences, Lanzhou 730000,China
  • Received:2012-10-22 Revised:2012-12-05 Online:2013-09-30 Published:2013-09-30
  • Contact: CHEN Haiying

Abstract: An algorithm was built by statistical regression using the data of atmospheric CO2 along the tract during the 24th CHINARE (Chinese National Arctic and Antarctic Administation) and the AIRS’s radiance. The verification points around latitude 60°south were picked up and the average error was 1.09%, which precise is higher than GOSAT that is special satellite to observe the atmospheric CO2. The AIRS’s radiance, which position and time are near to the 26th cruises’, was put into the algorithm. The average error was 2.12%. It is shown that the algorithm basing on regression statistic has some limitation.

Key words: Southern ocean, carbon dioxide, statistical regression, atmospheric infrared sounder, Chinese Antarctic Scientific Expedition