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黄河源区土壤温湿和大气参量变化特征
引用本文:陈金雷,文军,刘蓉,贾东于,王作亮,罗琪,谢琰.黄河源区土壤温湿和大气参量变化特征[J].应用气象学报,2017,28(1):98-108.
作者姓名:陈金雷  文军  刘蓉  贾东于  王作亮  罗琪  谢琰
作者单位:1.中国科学院西北生态环境资源研究院陆面过程与气候变化重点实验室, 兰州 730000
基金项目:资助项目: 国家自然科学基金项目(41530529,41375022,41675157),中国科学院重点部署项目(KZZD EW 13)
摘    要:利用中国科学院西北生态环境资源研究院玛曲土壤温湿观测网2008-2009年、2013-2014年数据验证了3套再分析资料ERA-Interim,CFSR(Climate Forecast System Reanalysis)和JRA-55(Japanese 55-year Reanalysis)在黄河源区的适用性,结合中国气象数据网玛曲气象站1980-2014年观测资料与CLM4.5(Community Land Model 4.5)进一步分析了黄河源区近35年气候变迁、土壤温湿分布和变化,结果表明:CFSR能够较好地描绘黄河源区土壤湿度变化,ERA-Interim对于土壤温度刻画能力更强,JRA-55效果较差;35年来气温、土壤温湿总体呈上升趋势且发生突变;近年来10 cm土壤温湿有暖干化趋势,降水量稍有增加,土壤冷季冻结周期变短,暖季持续时间拉长;CLM4.5模拟精度高,能够较好地刻画源区土壤温湿变化细节,两湖及黄河周边暖季为冷湿中心,冷季为暖干中心。

关 键 词:黄河源区    土壤温度    土壤湿度    气候突变    CLM4.5
收稿时间:2016/8/17 0:00:00
修稿时间:2016/10/28 0:00:00

Variation Characteristics of Soil Temperature & Moisture and Air Parameters in the Source Region of the Yellow River
Chen Jinlei,Wen Jun,Liu Rong,Jia Dongyu,Wang Zuoliang,Luo Qi and Xie Yan.Variation Characteristics of Soil Temperature & Moisture and Air Parameters in the Source Region of the Yellow River[J].Quarterly Journal of Applied Meteorology,2017,28(1):98-108.
Authors:Chen Jinlei  Wen Jun  Liu Rong  Jia Dongyu  Wang Zuoliang  Luo Qi and Xie Yan
Institution:1.Key Laboratory of Land Surface Process and Climate Change in Northwest Institute of Eco-Environment and Resources, CAS, Lanzhou 7300002.University of Chinese Academy of Sciences, Beijing 100049
Abstract:The source region of the Yellow River(SRYR) located in the northeast of the Tibetan Plateau, is the crucial water conservation area. Soil temperature & moisture variations and associated climate effects have important implications to the change of runoff. Three kinds of frequently used reanalysis datasets, ERA Interim, CFSR, and JRA 55 are tested using field observations of Maqu Soil Temperature & Moisture Network so as to find the optimal one for SRYR. Combining with observations of Maqu Station, the climate changes in recent 35 years and the temporal variation of soil moisture & temperature are analyzed. In addition, their spatial variations are depicted by reanalysis datasets and CLM4.5(Community Land Model 4.5). Main results are as follows.CFSR is the best dataset to depict the soil moisture variation, and ERA Interim is better on soil temperature, while JRA 55 is unsuited. Soil temperature has an indication to the climate change, but its response is less significant than air temperature. Soil moisture has an increasing trend, because freezing time becomes shorter and melting time is extending. Air temperature, soil temperature & moisture, except for precipitation, have abruptions in the last 35 years. Air temperature starts to abrupt during 1997-2000, after that it shows significant upward trend. Precipitation decreases from 1987 to 2004 and increases after 2005. Abrupt change of soil temperature takes place during 1985-1986, and beyond the belief line after 1994 with prominent rising. It means soil temperature is more sensitive than air temperature to climate warming. Soil moisture has an upward abruption in 2002. Soil temperature & moisture in 10 cm depth become warm and dry in recent years. Lakes and the Yellow River are the cold and wet centers in warm season, and turn warm and dry in cold season. CLM4.5 has high simulation accuracy, and is capable of describing detailed changes of soil in SRYR. All in all, it is better than reanalysis dataset in simulating the spatial variation of soil temperature & moisture, but still has a long way comparing with observations.
Keywords:SRYR  soil temperature  soil moisture  abrupt change of climate  CLM4  5
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