Evaluating the Simulation of the GCMS on the Extreme Temperatur e Indices in China
Received date: 2007-07-24
Revised date: 2007-10-09
Online published: 2008-03-25
Supported by
National Natural Science Foundation of China, No.40675043; Key Project for Jiangsu Key Laboratory of Meteorological Disaster, No.KLME050209
Based on the same term observations of extreme temperature data during 1961-2000 in China, we have evaluated seven model's output product including frost days (FD), growing season length (GSL), extreme temperature range (ETR), warm nights (TN90), and heat wave duration index (HDWI) supplied by the IPCC-AR4. The results show that all the models have the capability of modeling temperature characteristics in spatial and temporal variations and there are systematic errors in each model. This result indicates that the models' simulation accuracies for the five temperature indices are in the order from the best to the worst: FD, TN90, HWDI, ETR and GSL. In terms of the spatial distribution, the bad modeling effect is TN90, the characteristic distributions of other extreme temperature indices can be modeled. Generally, GFDL-CM2.0 and MIROC3.2 (hires) can best model the extreme temperature indices in China.
WANG Ji, JIANG Zhihong, SONG Jie, DING Yuguo . Evaluating the Simulation of the GCMS on the Extreme Temperatur e Indices in China[J]. Acta Geographica Sinica, 2008 , 63(3) : 227 -236 . DOI: 10.11821/xb200803001
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