Wang Jia, Guo Yufu. Assessing potential predictability associated with boreal sea ice with an AGCM. J Appl Meteor Sci, 2004, 15(3): 291-300.
Citation: Wang Jia, Guo Yufu. Assessing potential predictability associated with boreal sea ice with an AGCM. J Appl Meteor Sci, 2004, 15(3): 291-300.

ASSESSING POTENTIAL PREDICTABILITY ASSOCIATED WITH BOREAL SEA ICE WITH AN AGCM

  • Received Date: 2003-04-01
  • Rev Recd Date: 2003-06-18
  • Publish Date: 2004-06-30
  • The potential predictability associated alone with boreal sea ice on the seasonal to intraannual scale is studied with AGCMR15L9, the atmospheric component of LASG/IAP GOALS. With the aid of the analysis variance, it is found that the predictability index, expressed as a ratio of the external variance to the total, is weak in most regions. But as far as some low level, say 1000 hPa, variables are concerned, such as atmospheric temperature and relative humidity, stronger predictability larger than 0.5 can be found in some regions where the interannual sea ice variability is great. Compared with sea surface temperature (SST) in the lower latitude, the Boreal sea ice may have an equivalent or even stronger impact on the mid-high latitude atmospheric circulation. In addition, in some regions where the local sea ice variance is great, a greater predictability in the years of large sea ice area anomalies can be achieved than the results of the total 31 years. It means that large sea ice anomalies in some specific regions may lead to great anomalies in the corresponding atmospheric circulation.
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    • Received : 2003-04-01
    • Accepted : 2003-06-18
    • Published : 2004-06-30

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