首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >ASSIMILATION OF SMAP BRIGHTNESS TEMPERATURES IN ENVIRONMENT AND CLIMATE CHANGE CANADA'S NEW LAND SURFACE PARAMETERIZATION SCHEME
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ASSIMILATION OF SMAP BRIGHTNESS TEMPERATURES IN ENVIRONMENT AND CLIMATE CHANGE CANADA'S NEW LAND SURFACE PARAMETERIZATION SCHEME

机译:加拿大新地化参数化方案的环境与气候变化中的湿度亮度温度的同化

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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:美国宇航局土壤湿度无源被动(SMAP)任务于2015年1月推出,每3天一直在全球覆盖土壤水分覆盖。在环境和气候变化加拿大(ECCC),相当大的努力集中在散布亮度温度的同化,以更好地分析土壤水分状态,并产生数值天气预报(NWP)预测。最近在ECCC开发了新的陆地参数,土壤,植被和雪(SVS),包括更复杂的水文,包括多种土壤层,其中土壤水分根据Darcian流量而不是不同的土地水分的能量预算。本研究的目的是进行一组同化实验,以量化土壤湿度的改善,并从SVS内包含液体数据的含量增加NWP技能。

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