干旱气象

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多种土壤湿度资料在中国地区的对比分析

刘丽伟1魏栋2王小巍1程善俊3   

  1. 1.兰州区域气候中心,甘肃兰州730020; 2.兰州中心气象台,
    甘肃兰州730020; 3.天津市气候中心,天津300074
  • 出版日期:2019-02-28 发布日期:2019-02-28
  • 作者简介:刘丽伟(1990— ),女,甘肃民勤人,工程师,主要从事短期气候预测研究. E-mail:liulw2008@lzu.edu.cn。
  • 基金资助:

    甘肃省气象局气象科研项目(Zcms2019-24,Zd2019-02)资助

Multi-data Intercomparison of Soil Moisture over China

LIU Liwei1, WEI Dong2, WANG Xiaowei1, CHENG Shanjun3   

  1. 1. Regional Climate Center of Lanzhou, Lanzhou 730020, China;
    2. Lanzhou Regional Meteorological Observatory, Lanzhou 730020, China;
    3.Tianjin Climate Center, Tianjin 300074, China
  • Online:2019-02-28 Published:2019-02-28

摘要:

利用1992—2012年中国区域土壤湿度观测资料对目前使用较为广泛的5套土壤湿度资料(ERA-Interim、NCEP再分析资料、GLDAS同化资料、CPC模式资料和AMSR-E卫星反演资料)的适用性进行检验,分析5套资料对中国区域土壤湿度的时空分布特征和变化趋势的描述能力。结果表明:5套资料都能大体反映暖季中国区域土壤湿度东南湿、西北干,自东南向西北递减的分布格局以及西北干旱区和半干旱区变湿、长江流域部分地方变干的变化趋势,其中CPC资料最接近观测事实,并能较好地表现局地特征;在描述土壤湿度的季节变化和年际变化方面,GLDAS和NCEP资料与观测数据的相关性较好,能较好反映土壤湿度的时间演变特征。进一步利用检验效果较好的GLDAS、NCEP和CPC资料分别对中国区域土壤湿度时间和空间的长期变化趋势分析发现:中国区域标准化年平均土壤湿度在1948—1996年处在相对湿润期,而1996—2012年处在相对干旱期;中国区域年平均土壤湿度的空间变化特征是东部变干、西部变湿,自东北、华北至西南呈现一个干旱化带。

关键词: 土壤湿度, 资料对比, 时空分布, 变化趋势

Abstract:

The applicability of five sets of widely-used soil moisture data (EAR-Interim, NCEP reanalysis data, GLADS assimilation data, CPC assimilation data and inversion data derived AMSR-E) was inspected by using the observation data over China during 1992-2012, and the spatial distribution and change tendency of soil moisture over China were analyzed. The results show that these five sets of moisture data could generally reflect distribution pattern of wet in the southeast and dry in the northwest and the tendency of soil moisture decreased from the southeast to the northwest, while soil in arid and semi-arid regions of northwest China was getting wetter and that in the Yangzi River region was getting drier. The CPC data was closest to the observational facts and it could better represent the local characteristics. The GLDAS and NCEP data had better correlation with observation data in seasonal variation and interannual variation, and they can reflect the time evolution characteristics of soil moisture. On this basis, the NCEP, CPC and GLDAS data which had better test effect were used to analyze the long-term trends of annual mean soil moisture, there was a relatively wet period from 1948 to 1996 and a relatively dry period from 1996 to 2012. The soil moisture became dry in the east and wet in the west, and the area becoming dry presented a dry zone from the northeast China, north China to the southwest China.

 

Key words: soil moisture, data intercomparison, temporal-spatial distribution, interannual variation