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Assimilation of SMAP brightness temperatures in environment and climate change Canada's new land surface parameterization scheme

机译:在环境和气候变化中吸收SMAP亮度温度加拿大的新地表参数化方案

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The NASA Soil Moisture Active Passive (SMAP) mission was launched in January 2015 and has been providing near global coverage of soil moisture every 3 days. At Environment and Climate Change Canada (ECCC) considerable effort has been focused upon the assimilation of SMAP brightness temperatures for a better analysis of the soil moisture state and resulting Numerical Weather Prediction (NWP) forecasts. A new land-surface parameterization, Soil, Vegetation, and Snow (SVS) was recently developed at ECCC which includes more sophisticated hydrology incorporating multiple soil layers where soil moisture evolves according to Darcian flow, and includes separate energy budgets for different land-surface components. The objectives of this study are to perform a set of assimilation experiments to quantify improvements in soil moisture and added NWP skill from the inclusion of SMAP data within SVS.
机译:美国国家航空航天局(NASA)主动被动土壤水分(SMAP)任务于2015年1月启动,每三天提供近乎全球的土壤水分覆盖率。在加拿大环境与气候变化组织(ECCC)上,相当多的努力集中在吸收SMAP亮度温度上,以更好地分析土壤湿度状态并得出数值天气预报(NWP)预报。 ECCC最近开发了一种新的地表参数化,土壤,植被和积雪(SVS),其中包括更复杂的水文学,其中包含多个土壤层,其中土壤水分根据Darcian流量而变化,并且包括针对不同地表成分的单独能量预算。这项研究的目的是进行一组同化实验,以量化土壤水分的改善,并通过将SMAP数据纳入SVS来增加NWP技能。

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