| 基于AMSR-E土壤湿度产品的LIS同化试验 |
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| 引用本文： | 杨晓峰,陆其峰,杨忠东.基于AMSR-E土壤湿度产品的LIS同化试验[J].应用气象学报,2013,24(4):435-445. |
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| 作者姓名： | 杨晓峰 陆其峰 杨忠东 |
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| 作者单位： | 国家卫星气象中心，北京 100081 |
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| 基金项目： | 资助项目：公益性行业（气象）科研专项（GYHY201106014），国家科技支撑计划项目（2008BAC40B03），国家自然科学基金项目（40705037） |
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| 摘 要： | 由陆面信息系统 (Land Information System, 简称LIS) 通过NOAH陆面过程模型使用集合卡尔曼滤波开展AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System) 土壤湿度同化试验，得到2003年中国区域垂直深度为4层、水平空间分辨率为0.25°×0.25°的土壤湿度试验数据。使用农业气象观测站土壤相对湿度和国家生态系统野外科学观测研究站土壤体积含水量对试验结果进行检验，结果表明:同化过程整体上提高了陆面模型的模拟精度，草地生态系统模拟精度高于作物和森林生态系统；有效的同化过程依赖于AMSR-E土壤湿度的准确性；模拟出的土壤湿度空间分布特征与实际相符。同化试验得到的时空相对连续且精度相对准确的土壤湿度数据是气候变化和干旱监测的重要数据基础。
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| 关 键 词： | LIS 土壤湿度 集合卡尔曼滤波 AMSR-E 同化试验 |
| 收稿时间： | 7/3/2012 12:00:00 AM |
Assimilation Experiment of LIS Based on AMSR E Soil Moisture Products |
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| Yang Xiaofeng,Lu Qifeng and Yang Zhongdong.Assimilation Experiment of LIS Based on AMSR E Soil Moisture Products[J].Quarterly Journal of Applied Meteorology,2013,24(4):435-445. |
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| Authors: | Yang Xiaofeng Lu Qifeng and Yang Zhongdong |
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| Affiliation: | National Satellite Meteorological Center, Beijing 100081 |
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| Abstract: | Soil moisture is an important part of the soil, playing an important role in energy and mass exchange between land and atmosphere. It is an important environment factor and the process parameter of hydrology, meteorology and other researches. In order to accurately depict and understand the interaction between land and atmosphere, precise and high resolution soil moisture contour information is needed. But whether using the objective measurement or numerical prediction of land surface process simulation, soil moisture contour line with spatial-temporal continuum and good precision can't be obtained. In order to eliminate the error, data assimilation method (EnKF) is used to process passive microwave inversion products (AMSR-E) and land surface model (NOAH) outputs, and then shallow soil moisture information is transmitted to deeper soil layers by land assimilation system (LIS). These methods are used to calculate soil moisture with high precise, high resolution and low error. Through these methods, 4-layer (10 cm, 30 cm, 60 cm, 100 cm) soil moisture data with spatial resolution of 0.25° by 0.25° for the year of 2003 are obtained.Agro-meteorological-station soil moisture data and ecological-station data are used to verify the 4-layer soil moisture results. The simulation accuracy of the land surface model is improved when data assimilation method is used, the simulation accuracy in different layers is different, and the accuracy in the grassland ecosystem is higher than that in crop and forest ecosystems. The spatial characteristics of assimilation results match with real values, which is high in the southeast and low in the northwest. Assimilation soil moisture data has more detailed information in horizontal scales compared to station data and has more detailed information in vertical scales compared to the passive microwave inversion products.The accuracy of the assimilation process depends on the passive microwave inversion products (AMSR-E). However, AMSR-E has stopped running and inversion errors of passive microwave inversion products will be accumulated in data assimilation run. In order to solve these problems, passive microwave inversion products of FY-3B can be used experimentally. Besides, assimilation experiment can be started by directly assimilate radiation brightness temperature of microwave channels. Simulation accuracy of soil moisture can be further improved through these processes. Effect of assimilation experiment is different in different vegetation, which mainly depends on capabilities of land surface model. Therefore, improving the land surface model is also an effective means to improve soil moisture simulation accuracy. |
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| Keywords: | LIS soil moisture EnKF AMSR E assimilation experiment |
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