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Extreme precipitation downscale research in China

PI: Wangji Wangji
Institution: Nanjing University of Information Science & Technology
Abstract:
Based on 1961~2000 observations of extreme temperature in China, evaluated are the effect of seven model output products in the same period including frost days(FD), growing season length(GSL), extreme temperature range(ETR), warm nights(TN90), and heat wave duration index(HDWI) supplied by IPCC-AR4. Result shows that all these models have the capability of simulation to some degree, except for systematic errors in each modeling. Results indicate that FD has the best modeling result, with TN90 and HWDI as the second, and then is ETR and GSL. In the spatial distribution aspect, only TN90 cannot be modeled satisfactorily, while the characteristics of distribution of other extreme temperature indexes can be well simulated. Generally , GFDL-CM2.0˜aMIROC3.2ihiresjhave the best modeling effect for the extreme temperature indexes in China.
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