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Realistic greenhouse gas forcing and seasonal forecasts
被引:28
|作者:
Liniger, M. A.
Mathis, H.
Appenzeller, C.
Doblas-Reyes, F. J.
机构:
[1] Fed Off Meteorol & Climatol, Climate Serv, CH-8044 Zurich, Switzerland
[2] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
关键词:
MULTIMODEL ENSEMBLES;
TEMPERATURE;
RATIONALE;
SUCCESS;
D O I:
10.1029/2006GL028335
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
This paper investigates the improvement of seasonal forecasts by including realistically varying greenhouse gas (GHG) concentrations. Forecasts starting every May and November are compared over the period 1958 until 2001. One set has constant GHG concentrations while an other has a realistic GHG trend. The large scale temperature trends derived at different lead times are compared between the forecast sets and observations over the entire 44 years. It is shown that after a few months the anthropogenic climate change signal is lost by up to 70% although it was present in the initial conditions. The differences in trends vary with lead times, seasons and regions. Strongest effects are found in the Tropics and the Summer Hemispheres, in particular the Northern one. On the local scale, the improvement is not widespread in trends and very weak in predicting detrended interannual variability. Both sets exhibit a strong absolute temperature bias.
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