Collaborative Research: Improving Remotely Sensed Surface Fluxes over Sea Ice

这项提议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组成部分的方法“主要是TIROS业务垂直探测仪和高级甚高分辨率辐射计AVHRR。PIS将探索几种不同且几乎相互独立的方法来获取地表通量。在一种方法中，他们将利用大气单柱或有限区域模式，两者都与冰雪模式相联系，并由遥感数据驱动，以提供地表应力和地表感热、潜热、辐射和传导通量。地面辐射通量也可以从卫星数据中获得；因此，将探索采用鲍文比能量收支方法作为获得地面感热和潜热通量的另一种途径。最后，他们将使用来自威德尔冰站、研究北冰洋表面热量平衡的实验和北冰洋实验的数据来验证/更新可用的地转阻力关系。将这些关系与地面压力场和TOVS提供的对流层低层温度结构信息结合起来，将能够计算地面应力。该项目将为极地社区提供改进的方法，以估计地面应力和根据卫星测量得到的地面能量收支的组成部分。这将允许对这些量进行空间上的广泛和时间上的密集观测--这是对观测网络的重大贡献。

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.