Arctic Ice Balance: A Diagnosis Using Satellite Microwave and Drifting Buoy Data

这个项目的目标是描述海洋的状态 冰盖和了解物理过程，结合联合收割机， 产生观测到的开放水域分布，第一年， 多年海冰 该项目将整合基于卫星的 来自扫描多通道微波辐射计的微波数据 （SMMR）和特殊传感器微波/成像仪（SSM/I），以及冰 北极浮标方案数据集的漂移和变形数据， 海冰质量预算和北极的定量估计 冰平衡 在北冰洋的尺度上， 海冰覆盖并不均匀，而是由混合物组成， 冰的类型在年龄、厚度、盐度 表面粗糙度和积雪深度。 不同的冰类型也 确定表面辐射预算和热量 动量在大气层和 海洋 因此，海冰覆盖的性质成为一个 极地气候中的重要地球物理变量。 的 卫星微波数据携带有关冰类型的信息，并且 开放水域，而浮标数据则提供水面数据 温度和冰的运动和变形场。 将合并的 数据集消除了微波特征中存在的模糊性， 提供了目前使用的冰厚的超定数据集 分销模式

The goal of this project is to describe the state of the oceanic sea ice cover and to understand the physical processes that combine to produce the observed distribution of open water, first-year, and multi-year sea ice. The project will integrate satellite-based microwave data from the Scanning Multichannel Microwave Radiometer (SMMR) and the Special Sensor Microwave/Imager (SSM/I), and ice drift and deformation data from the Arctic Buoy Program data set, in a quantitative estimate of the sea ice mass budget and the arctic ice balance. On the scale of the Arctic Ocean, the quasi-permanent sea ice cover is not uniform, but rather is composed of a mixture of ice types which differ with respect to age, thickness, salinity, surface roughness, and snow depth. The various ice types also determine the surface radiation budget and the rates at which heat and momentum is transferred between the atmosphere and the ocean. The nature of the sea ice cover therefore becomes a significant geophysical variable in the polar climate. The satellite microwave data carries information about ice type, and open water areas, while the buoy data provides data on surface temperatures and ice motion and deformation fields. The combined data set removes ambiguities present in the microwave signatures and provides an overdetermined data set for presently used ice thickness distribution models.