Assimilation of passive microwave observations into atmospheric models

将被动微波观测同化到大气模型中

• 批准号: 22095172
• 负责人: Professor Dr. Clemens Simmer
• 金额: --
• 依托单位: European Space Agency
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/22095172?language=en
• 关键词: Assimilation; passive; microwave; observations; into

An accurate knowledge of soil moisture is essential for a realistic numerical simulation of the water and energy budget over land surfaces. Due to significant deficiencies in model parameterizations, input data and the absence of a global soil moisture observation network, indirect measures of soil moisture are currently used to adjust soil moisture towards reality in numerical weather prediction models. Since the thermal emission of the land surface in the low-frequency microwave range strongly depends on soil moisture passive microwave observations from satellites have the potential of significantly improving model soil moisture. This study aims to further develop the new European Land Data Assimilation System¿s (ELDAS) soil moisture analysis which is able to assimilate satellite observations of low-frequency passive microwave brightness temperatures into numerical weather prediction models and to investigate its effects on the quality of mid-latitude regional weather forecasts comprising a complete annual cycle. A significant step towards a new operational assimilation system leading to an improved numerical simulation of the water and energy budget over land surfaces is expected.

对土壤水分的准确了解是对地表水分和能量收支进行真实数值模拟的关键。由于在模式参数、输入数据和缺乏全球土壤湿度观测网络方面的显著不足，目前在数值天气预报模式中，土壤湿度的间接测量被用来调整土壤湿度以接近实际。由于地面在低频微波范围内的热发射强烈依赖于土壤湿度，卫星被动微波观测有可能显着改善模型土壤湿度。本研究旨在进一步发展新的欧洲陆地数据同化系统S土壤水分分析，该系统能够将卫星观测的低频被动微波亮温同化到数值天气预报模式中，并研究其对构成完整年周期的中纬度区域天气预报质量的影响。预计将朝着新的业务同化系统迈出重要的一步，从而改进陆地表面的水和能量收支的数值模拟。