Collaborative Research: Improving Remotely Sensed Surface Fluxes over Sea Ice

该提案将开发利用卫星数据生成北极和南极海冰表面通量场、表面应力和表面能量收支分量的方法，这些数据主要来自TOVS、TIROS操作垂直探测器和AVHRR、高级甚高分辨率辐射计。PI将探索几种不同的和几乎独立的方法来获得表面通量。 在一种方法中，他们将利用一个大气单柱或有限区域模型，这两个模型都与冰雪模型相连，并由遥感数据驱动，以提供表面应力和表面感热、潜热、辐射和传导通量。 地面辐射通量也可从卫星数据中获得;因此，将探讨采用波文比能量收支法作为获得地面感热通量和潜热通量的另一种途径。 最后，他们将验证/更新现有的地转阻力与冰站威德尔，研究北冰洋表面热收支的实验和北冰洋实验的数据的关系。 将这些关系与表面压力场和TOVS提供的对流层低层温度结构信息相结合，将能够计算表面应力，这一项目将为极地社区提供改进的方法，根据卫星测量结果估计表面应力和表面能量收支的组成部分。 这将允许对这些量进行空间上广泛和时间上密集的观测-这是对观测网络的主要贡献。

Andreas - 0611942Francis - 0611577Persson - 0612428This proposal will develop methods for generating surface flux fields, the surface stress and the components of the surface energy budget, over Arctic and Antarctic sea ice from satellite data"primarily TOVS, the TIROS Operational Vertical Sounder, and AVHRR, the Advanced Very High Resolution Radiometer. The PIs will explore several different and nearly independent methods for obtaining the surface fluxes. In one method, they will utilize an atmospheric single-column or limited-area model, both linked to a snow and ice model and driven with remote-sensing data to provide the surface stress and the surface sensible heat, latent heat, radiative, and conductive fluxes. Surface radiative fluxes are also available from satellite data; consequently, implementation of a Bowen-ratio-energy-budget method will be explored as another route for obtaining the surface sensible and latent heat fluxes. Finally, they will verify/update available geostrophic drag relationships with data from Ice Station Weddell, the experiment to study the Surface Heat Budget of the Arctic Ocean, and the Arctic Ocean Experiment. Combining these relations with surface pressure fields and information on the temperature structure of the lower troposphere from TOVS will allow calculations of the surface stress.This project will provide the polar community with improved methodologies for estimating surface stress and components of the surface energy budget from satellite measurements. This will allow spatially extensive and temporally intensive observation of these quantities - a major contribution to an observing network.