A Daily Temperature Dataset over China and Its Application in Validating a RCM Simulation
This paper describes the construction of a 0.5°× 0.5° 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,...
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| Veröffentlicht in: | Advances in atmospheric sciences 2009-07, Vol.26 (4), p.763-772 |
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| creator | 徐影 高学杰 沈艳 许崇海 石英 F．G10RGI |
| description | This paper describes the construction of a 0.5°× 0.5° 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 （1°× 1°） version can be accessed via the World Wide Web. |
| doi_str_mv | 10.1007/s00376-009-9029-z |
| format | Article |
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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. 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Atmos. Sci</addtitle><addtitle>Advances in Atmospheric Sciences</addtitle><description>This paper describes the construction of a 0.5°× 0.5° 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. 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Atmos. Sci</stitle><addtitle>Advances in Atmospheric Sciences</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>26</volume><issue>4</issue><spage>763</spage><epage>772</epage><pages>763-772</pages><issn>0256-1530</issn><eissn>1861-9533</eissn><abstract>This paper describes the construction of a 0.5°× 0.5° 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 （1°× 1°） version can be accessed via the World Wide Web.</abstract><cop>Heidelberg</cop><pub>SP Science Press</pub><doi>10.1007/s00376-009-9029-z</doi><tpages>10</tpages></addata></record> |
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| ispartof | Advances in atmospheric sciences, 2009-07, Vol.26 (4), p.763-772 |
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| subjects | Atmospheric Sciences Climate models Climatology Earth and Environmental Science Earth Sciences Geophysics/Geodesy Meteorology 中国大陆 区域气候模式 最高温度 模型验证 温度数据 青藏高原 |
| title | A Daily Temperature Dataset over China and Its Application in Validating a RCM Simulation |
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