A Daily Temperature Dataset over China and Its Application in Validating a RCM Simulation

This paper describes the construction of a 0.5ox0.5o daily temperature dataset for the period of 1961--2005 over mainland China for the purpose of climate model validation. The dataset is based on the interpolation from 751 observing stations in China and comprises 3 variables: daily mean, minimum, and maximum temperature. The ``anomaly approach" is applied in the interpolation. The gridded climatology of 1971--2000 is first calculated and then a gridded daily anomaly for 1961--2005 is added to the climatology to obtain the final dataset. Comparison of the dataset with CRU (Climatic Research Unit) observations at the monthly scale shows general agreement between the two datasets. The differences found can be largely attributed to the introduction of observations at new stations. The dataset shows similar interannual variability as does CRU data over North China and eastern part of the Tibetan Plateau, but with a slightly larger linear trend. The dataset is employed to validate the simulation of three extreme indices based on daily mean, minimum, and maximum temperature by a high-resolution regional climate model. Results show that the model reproduces these indices well. The data are available at the National Climate Center of China Meteorological Administration, and a coarser resolution (1ox1o) version can be accessed via the World Wide Web.