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Volume 26 Issue 4

Jul.  2009

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2009 >  26(4): 763-772

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

  • 1.

    National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,National Meteorological Information Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy


doi: 10.1007/s00376-009-9029-z

  • 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.
  • [1] REN Guoyu, DING Yihui, ZHAO Zongci, ZHENG Jingyun, WU Tongwen, TANG Guoli, XU Ying, 2012: Recent Progress in Studies of Climate Change in China, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 958-977.  doi: 10.1007/s00376-012-1200-2
    [2] Athanassios A. ARGIRIOU, Zhen LI, Vasileios ARMAOS, Anna MAMARA, Yingling SHI, Zhongwei YAN, 2023: Homogenised Monthly and Daily Temperature and Precipitation Time Series in China and Greece since 1960, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1326-1336.  doi: 10.1007/s00376-022-2246-4
    [3] YANG Shili, FENG Jinming, DONG Wenjie, CHOU Jieming, 2014: Analyses of Extreme Climate Events over China Based on CMIP5 Historical and Future Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1209-1220.  doi: 10.1007/s00376-014-3119-2
    [4] WANG Shaowu, ZHU Jinhong, CAI Jingning, 2004: Interdecadal Variability of Temperature and Precipitation in China since 1880, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 307-313.  doi: 10.1007/BF02915560
    [5] SONG Lianchun, A. J. CANNON, P. H. WHITFIELD, 2007: Changes in Seasonal Patterns of Temperature and Precipitation in China During 1971--2000, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 459-473.  doi: 10.1007/s00376-007-0459-1
    [6] GE Quansheng, WANG Shaowu, WEN Xinyu, Caiming SHEN, HAO Zhixin, 2007: Temperature and Precipitation Changes in China During the HoloceneTemperature and Precipitation Changes in China During the Holocene, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 1024-1036.  doi: 10.1007/s00376-007-1024-7
    [7] Xuejie GAO, Ying SHI, Zhenyu HAN, Meili WANG, Jia WU, Dongfeng ZHANG, Ying XU, Filippo GIORGI, 2017: Performance of RegCM4 over Major River Basins in China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 441-455.  doi: 10.1007/s00376-016-6179-7
    [8] Gao Xuejie, Zhao Zongci, Ding Yihui, Huang Ronghui, Filippo Giorgi, 2001: Climate Change due to Greenhouse Effects in China as Simulated by a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 1224-1230.  doi: 10.1007/s00376-001-0036-y
    [9] Jing ZOU, Zhenghui XIE, Chesheng ZHAN, Feng CHEN, Peihua QIN, Tong HU, Jinbo XIE, 2019: Coupling of a Regional Climate Model with a Crop Development Model and Evaluation of the Coupled Model across China, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 527-540.  doi: 10.1007/s00376-018-8160-0
    [10] GAO Xuejie, LUO Yong, LIN Wantao, ZHAO Zongci, Filippo GIORGI, 2003: Simulation of Effects of Land Use Change on Climate in China by a Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 583-592.  doi: 10.1007/BF02915501
    [11] DING Yihui, SHI Xueli, LIU Yiming, LIU Yan, LI Qingquan, QIAN Yongfu, MIAO Manqian, ZHAI Guoqing, GAO Kun, 2006: Multi-year Simulations and Experimental Seasonal Predictions for Rainy Seasons in China by Using a Nested Regional Climate Model (RegCM NCC). Part I: Sensitivity Study, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 323-341.  doi: 10.1007/s00376-006-0487-2
    [12] CHEN Feng, and XIE Zhenghui, 2013: An evaluation of RegCM3_CRES for regional climate modeling in China, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1187-1200.  doi: 10.1007/s00376-012-2114-8
    [13] Peihua QIN, Zhenghui XIE, Jing ZOU, Shuang LIU, Si CHEN, 2021: Future Precipitation Extremes in China under Climate Change and Their Physical Quantification Based on a Regional Climate Model and CMIP5 Model Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 460-479.  doi: 10.1007/s00376-020-0141-4
    [14] ZENG Xinmin, LIU Jinbo, MA Zhuguo, SONG Shuai, XI Chaoli, WANG Hanjie, 2010: Study on the Effects of Land Surface Heterogeneitiesin Temperature and Moisture on Annual Scale Regional Climate Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 154-163.  doi: 10.1007/s00376-009-8117-4
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    [16] Xiaoling YANG, Botao ZHOU, Ying XU, Zhenyu HAN, 2021: CMIP6 Evaluation and Projection of Temperature and Precipitation over China, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 817-830.  doi: 10.1007/s00376-021-0351-4
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    [19] HU Yichang, HE Yong, DONG Wenjie, 2009: Changes in Temperature Extremes Based on a 6-Hourly Dataset in China from 1961--2005, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1215-1225.  doi: 10.1007/s00376-009-8140-5
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    • Manuscript History

    Manuscript received: 10 July 2009
    Manuscript revised: 10 July 2009
    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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

    • 1. National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,National Meteorological Information Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,National Climate Center, China Meteorological Administration, Beijing 100081,The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
    • Manuscript received: 2009-07-10
    • Manuscript revised: 2009-07-10

    Abstract: 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.

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