高原气象

高原气象 >

2018 , Vol. 37 >Issue 3: 626 - 641

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00060

论文

再分析土壤温湿度资料在青藏高原地区适用性的分析

  • 丁旭 ,
  • 赖欣 ,
  • 范广洲 ,
  • 文军 ,
  • 袁源 ,
  • 王欣 ,
  • 王作亮 ,
  • 朱丽华 ,
  • 张永莉 ,
  • 王炳赟
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  • 成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室/气候与环境变化联合实验室, 四川 成都 610225;南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044;中国科学院西北生态环境资源研究院/寒旱区陆面过程与气候变化重点实验室, 甘肃 兰州 730000

收稿日期: 2017-05-15

  网络出版日期: 2018-06-28

基金资助

国家自然科学基金项目（41505078，91537214，41275079，41305077，41305042，41405069）；成都信息工程大学校引进人才启动基金项目（KYTZ201639）；公益性行业（气象）科研专项（GYHY201506001）；四川省教育厅重点项目（16ZA0203）；成都信息工程大学中青年学术带头人科研基金项目（J201516，J201518）

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Analysis on the Applicability of Reanalysis Soil Temperature and Moisture Datasets over Qinghai-Tibetan Plateau

  • DING Xu ,
  • LAI Xin ,
  • FAN Guangzhou ,
  • WEN Jun ,
  • YUAN Yuan ,
  • WANG Xin ,
  • WANG Zuoliang ,
  • ZHU Lihua ,
  • ZHANG Yongli ,
  • WANG Bingyun
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  • College of Amospheric Sciences, Chendu University of Informtion Technology Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610225, Sichuan, China;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;Key Laboratory for Land Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, Gansu, China

Received date: 2017-05-15

  Online published: 2018-06-28

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摘要

利用2010-2016年中国科学院西北生态环境资源研究院青藏高原土壤温度与湿度监测网观测数据在不同气候区和植被条件的4个地区（阿里、狮泉河、那曲和玛曲）对8套土壤温湿度再分析产品（ERA-Interim、CFSR、CFSv2、JRA-55、GLDAS-NOAH、GLDAS-CLM、GLDAS-MOS和GLDAS-VIC）进行对比分析，使用相关系数、均方根误差、平均偏差、无偏均方根误差和标准差比等统计参数综合比较各土壤温湿度产品对观测值的模拟性能，寻找适用于青藏高原地区的长时间大尺度土壤温湿度产品。结果表明：对于土壤温度，GLDAS-CLM产品在大部分站点能够合理再现两层（0~10 cm和10~40 cm）土壤温度随时间的动态过程和变化细节，虽然结果略高估观测土壤温度值，但在数值上与观测值较为接近，并且与观测值呈显著正相关关系。对于土壤湿度，土壤冻结期再分析产品不能表现土壤湿度的动态变化特征；非冻结期GLDAS-NOAH和GLDAS-CLM产品能够较好的刻画各地区两层土壤湿度随时间变化的动态过程特征，不论在误差统计量还是相关性方面都表现为最优值。GLDAS-MOS、GLDAS-VIC、ERA-interim和CFSv2产品虽然在一定程度上能够展现部分地区土壤湿度的变化趋势，但对观测值的刻画效果并不理想，而JRA-55产品无法描绘各地区土壤温湿度变化。

关键词： 青藏高原; 土壤温度; 土壤湿度; 再分析资料; 对比分析

本文引用格式

丁旭 , 赖欣 , 范广洲 , 文军 , 袁源 , 王欣 , 王作亮 , 朱丽华 , 张永莉 , 王炳赟 . 再分析土壤温湿度资料在青藏高原地区适用性的分析[J]. 高原气象, 2018 , 37(3) : 626 -641 . DOI: 10.7522/j.issn.1000-0534.2017.00060

Abstract

In this paper, according to the observation data of the monitoring network in four areas (Nagri, Shi quanhe, Nagqu, Maqu) in different climate zones and vegetation conditions of 8 sets of soil moisture (ERA-Interim, CFSR, CFSv2, JRA-55, GLDAS-NOAH, GLDAS-CLM, GLDAS-MOS, GLDAS-VIC), we compared and analyzed the data of soil temperature and moisture from Northwest Institute of Eco-Environment and Resource, during 2010-2016, Using correlation coefficient (R), root mean square error (RMSE), mean bias (Bias), unbiased mean-square root error (ubRMSE) and standard deviation ratio (SDV), to compare the simulation performance of the soil moisture products to the observed values. Then searching for the long and large scale soil temperature and moisture products that suitable for the Qinghai-Tibetan Plateau. For soil moisture, the GLDAS-CLM product can reproduce the dynamic process and change details of the two layers of soil moisture over time. Although the result is higher than the observed soil temperature, it is the closest to the observed value, and has a close relationship with the observed value. Soil freezing period cannot show the dynamic characteristics of soil moisture, but the dynamic process characteristics of the two layers of soil moisture changes over time can characterized by non-freezing period products(GLDAS-NOAH and GLDAS-CLM), which showed the best in both error statistics and correlations. GLDAS-MOS, GLDAS-VIC, ERA-interim and CFSv2 products are not ideal to depict the value of an observation, although to a certain extent they can show parts of the change trend of soil moisture, and JRA-55 products cannot describe regional soil temperature and moisture.

Key words： Qinghai-Tibetan Plat; soil temperature; soil moisture; reanalysis products; comparative analysis

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