The Role of Long-Term Trends in Seasonal Predictions: Implication of Global Warming in the NCEP CFS
The Role of Long-Term Trends in Seasonal Predictions: Implication of Global Warming in the NCEP CFS
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DOI:
10.1175/2009waf2222231.1
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发表时间:
2009-08
影响因子:
2.9
通讯作者:
M. Cai;Chul‐Su Shin;H. Dool;Wanqiu Wang;S. Saha;Arun Kumar
中科院分区:
文献类型:
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作者:
M. Cai;Chul‐Su Shin;H. Dool;Wanqiu Wang;S. Saha;Arun Kumar
Abstract This paper analyzes long-term surface air temperature trends in a 25-yr (1982–2006) dataset of retrospective seasonal climate predictions made by the NCEP Climate Forecast System (CFS), a model that has its atmospheric greenhouse gases fixed at the 1988 concentration level. Although the CFS seasonal forecasts tend to follow the observed interannual variability very closely, there exists a noticeable time-dependent discrepancy between the CFS forecasts and observations, with a warm model bias before 1988 and a cold bias afterward except for a short-lived warm bias during 1992–94. The trend from warm to cold biases is likely caused by not including the observed increase in the anthropogenic greenhouse gases in the CFS, whereas the warm bias in 1992–94 reflects the absence of the anomalous aerosols released by the 1991 Mount Pinatubo eruption. Skill analysis of the CFS seasonal climate predictions with and without the warming trend suggests that the 1997–98 El Nino event contributes significantly to...