...
首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Development of a winter snow water equivalent algorithm using in situ passive microwave radiometry over snow-covered first-year sea ice
【24h】

Development of a winter snow water equivalent algorithm using in situ passive microwave radiometry over snow-covered first-year sea ice

机译:利用原位被动微波辐射技术在积雪覆盖的第一年海冰上开发冬季雪水当量算法

获取原文
获取原文并翻译 | 示例
           

摘要

A snow water equivalent (SWE) algorithm has been developed for thin and thick snow using both in situ microwave measurements and snow thermophysical properties, collected over landfast snow covered first-year sea ice during the Canadian Arctic Shelf Exchange Study (CASES) overwintering mission from December 2003 to May 2004. Results showed that the behavior of brightness temperatures (Tbs) in thin snow covers was very different from those in a thick snowpack. Microwave SWE retrievals using the combination of T-b 19 GHz and air temperature (multiple regression) over thick snow are quite accurate, and showed very good agreement with the physical data (R-2 =0.94) especially during the cooling period (i.e., from freeze up to the minimum air temperature recorded) where the snow is dry and cold. Thin snow SWE predictions also showed fairly good agreement with field data (R-2 =0.70) during the cold season. The differences between retrieved and in situ SWE for both thin and thick snow cover are mainly attributable to the variations in air temperature, snow wetness and spatial heterogeneity in snow thickness. (c) 2006 Elsevier Inc. All rights reserved.
机译:在加拿大北极架交换研究(CASES)越冬任务期间,通过原位微波测量和雪热物理特性,开发了一种雪薄水当量(SWE)算法,用于原地微波测量和雪的热物理性质。 2003年12月至2004年5月。结果表明,薄雪覆盖层中的亮度温度(Tbs)与厚雪堆中的亮度温度(Tbs)有很大不同。使用Tb 19 GHz和空气温度(多次回归)结合在厚厚的积雪上进行微波SWE检索是非常准确的,并且与物理数据(R-2 = 0.94)表现出非常好的一致性,尤其是在冷却期间(即从冻结)最高记录的最低气温)。在寒冷季节,稀雪SWE预报也显示出与田间数据(R-2 = 0.70)相当一致。薄雪和厚雪覆盖的SWE与实地SWE之间的差异主要归因于气温,雪湿度和雪厚度空间异质性的变化。 (c)2006 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号