Derivation of snow thickness information on sea ice using in-situ and satellite based multi-frequency polarimetric synthetic aperture radar data

利用现场和卫星多频极化合成孔径雷达数据推导海冰积雪厚度信息

• 批准号: 305482-2011
• 负责人: Yackel, John
• 金额: $ 1.09万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Northern Research Supplement
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=571576
• 关键词: Derivation; snow; thickness; information; sea

Considerable attention has focused on the satellite measured decline of sea ice extent in the Arctic Ocean over the past 10+ years. Sea ice makes up approximately 11% of the Earth's surface area and is a critical variable in the global radiation and energy balances and to determining the Earth's response to climate change. The snow cover on sea ice is an important physical variable that plays a central role in mass and energy exchange across the ocean-sea ice-atmosphere interface. Because of the high albedo of snow, the shortwave radiative exchange dominates the sea ice-albedo feedback mechanism during the spring transition season. The onset of spring melt and the eventual formation of liquid water melt ponds on the surface of the sea ice cause rapid decreases in the surface albedo, and as such, cause an increase in the rate of ice melt. Spring melt on Arctic sea ice is highly variable in both space and time and is largely governed by the timing and magnitude of snow thickness on the sea ice prior to sufficient atmospheric warming. Information of snow on sea ice is scarce. This is because of the inherent difficulties in measuring snow distributions remotely and/or the lack of representativeness of High Arctic climate and precipitation reporting stations. Historical data on snow thickness distributions and their relationship to types of sea ice are also rare. Evidence from both observational and modeling studies indicate that snow on sea ice plays a central role in the interaction of visible and microwave energy at the surface and within the volume. My research addresses a number of key questions to understand the inter-relationship between the visible and microwave EM interactions of snow covered sea ice using a combination of surface and satellite based remote sensing data during the spring melt transition period. Observations of snow thickness will be collected annually from both a cold environment laboratory setting and in-situ High Arctic environments coincident with other climate and sea ice measurements along with surface and satellite based remote sensing data for the purpose of quantifying the role snow plays in manifesting sea ice extent and thickness at a variety of spatial and temporal scales.

过去10多年来，人们对卫星测量的北冰洋海冰范围的减少给予了相当大的关注。海冰约占地球表面积的11%，是全球辐射和能量平衡以及确定地球对气候变化反应的关键变量。海冰上的积雪是一个重要的物理变量，在海洋-海冰-大气界面的物质和能量交换中起着核心作用。在春季过渡季节，由于雪的高反射率，短波辐射交换主导海冰-反射率反馈机制。春季融化的开始和海冰表面液态水融化池的最终形成导致表面冰的迅速减少，因此导致冰融化速率的增加。北极海冰春季融化在空间和时间上都有很大的变化，在很大程度上取决于大气充分变暖之前海冰上积雪厚度的时间和大小。关于海冰上的雪的信息很少。这是因为在远距离测量积雪分布方面存在固有的困难和/或北极高纬度气候和降水报告站缺乏代表性。关于积雪厚度分布及其与海冰类型关系的历史数据也很少。来自观测和模拟研究的证据表明，海冰上的雪在表面和体积内的可见光和微波能量的相互作用中起着核心作用。我的研究解决了一些关键问题，以了解积雪覆盖的海冰的可见光和微波EM相互作用之间的相互关系，结合地面和卫星遥感数据在春季融化过渡期。每年将从寒冷环境实验室环境和高北极地区的现场环境收集雪厚观测数据，这些观测数据与其他气候和海冰测量数据同时沿着地面和卫星遥感数据，目的是量化雪在各种空间和时间尺度上显示海冰范围和厚度方面所起的作用。