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| 同化MODIS温度产品估算地表水热通量 | |
| 引用本文： | 徐同仁,刘绍民,秦军,梁顺林.同化MODIS温度产品估算地表水热通量[J].遥感学报,2009,13(6):999-1019. |
| 作者姓名： | 徐同仁 刘绍民 秦军 梁顺林 |
| 作者单位： | 1. 北京师范大学,遥感科学国家重点实验室,地理学与遥感科学学院,北京,100875 2. 中国科学院,青藏高原研究所,北京,100085 3. Department of Geography, 2181 Lefrak Hall, University of Maryland, College Park, MD20742, USA |
| 基金项目： | 国家高技术研究发展计划课题(编号: 2007AA12Z175)、国家自然科学基金项目(编号: 40671128)和国家重点基础研究发展规划项目(编号: 2007CB714401)。 |
| 摘 要： | 基于集合卡尔曼滤波和通用陆面模型(CLM 1.0)发展了一个地表温度的同化系统。这个系统同化了MODIS温度产品, 并将MODIS的叶面积指数引入CLM模型中, 主要用于改进地表水热通量的估算精度。将CLM输出的地表温度与MODIS地表温度建立关系, 并作为同化系统的观测算子。将MODIS地表温度与实测地表温度进行了比较, 将其均方差(Root Mean Square Error, RMSE)作为观测误差。选取3个美国通量网站点(Blackhill、Bondville、Brookings)作为实验数据, 结果表明: 同化结果中地表温度、显热通量的估算精度均有提高。其中Blackhill站的估算精度改进最大, 均方差由81.5W·m-2减小到58.4W·m-2, Bondville站均方差由47.0W·m-2减小到31.8W·m-2, Brookings站均方差由46.5W·m-2减小到45.1W·m-2。潜热通量估算精度在Bondville站均方差由88.6W·m-2减小到57.7W·m-2, Blackhill站均方差由53.4W·m-2减小到47.2W·m-2。总之, 结合陆面过程模型同化MODIS温度产品估算地表水热通量是可行的。 |
| 关 键 词： | MODIS温度产品 通用陆面模式 集合卡尔曼滤波 地表水热通量 |
| 收稿时间： | 2008/6/19 0:00:00 |
| 修稿时间： | 1/7/2009 12:00:00 AM |
Estimation of sensible and latent heat flux by assimilating MODIS LST products |
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| XU Tong-ren,LIU Shao-min,QIN Jun and LIANG Shun-lin.Estimation of sensible and latent heat flux by assimilating MODIS LST products[J].Journal of Remote Sensing,2009,13(6):999-1019. | |
| Authors: | XU Tong-ren LIU Shao-min QIN Jun and LIANG Shun-lin |
| Affiliation: | 1. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;;1. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;;2. Institute of Tibetan Plateau Research of Chinese Academy of Sciences, Beijing 100085, China;;3. Department of Geography, 2181 Lefrak Hall, University of Maryland, College Park, MD20742, USA |
| Abstract: | In this paper, a land surface temperature data assimilation scheme is developed based on Ensemble Kalman Filter (EnKF) and Common Land Model version 1.0 (CLM), which is mainly used to improve the estimation of the sensible and latent heat fluxes by assimilating MODIS land surface temperature (LST) products. Leaf area index (LAI) is also updated dynamically by MODIS LAI products. In this study, the relationship between the MODIS LST and the CLM surface temperature is determined and taken as the observation operator of the assimilation scheme. Meanwhile, the MODIS LST is compared with the ground-measured surface temperature, and the Root Mean Square Error (RMSE) is taken as the observation error. The scheme is tested and validated based on measurements in three observation stations (Blackhill, Bondville and Brookings) of Ameriflux. Results indicate that data assimilation method improves the estimation of surface temperature and sensible heat flux. The RMSE of sensible heat flux reduced from 81.5W·m-2 to 58.4W·m-2 at the Blackhill site, from 47.0W·m-2 to 31.8W·m-2 at the Bondville site, from 46.5W·m-2 to 45.1W·m-2 at the Brookings site. The RMSE of latent heat fluxes reduced from 88.6W·m-2 to 57.7W·m-2 at the Bondville site, from 53.4W·m-2 to 47.2W·m-2 at the Blackhill site. In addition, it is a practical way to improve the estimation of sensible and latent heat flux by assimilating MODIS LST into land surface model. |
| Keywords: | MODIS land surface temperature products common land model ensemble kalman filter sensible and latent heat flux |
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