首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >Snow satellite algorithm development and verification based on the ground snow observation using a ground microwave radiometer
【24h】

Snow satellite algorithm development and verification based on the ground snow observation using a ground microwave radiometer

机译:基于地面微波辐射计的地面雪观测的雪地卫星算法开发与验证

获取原文

摘要

This paper develops a new snow algorithm for the Advanced Microwave Scanning Radiometer (AMSR) and the AMSR for Earth Observation System (AMSR-E) and validates the algorithm by using the snow depth data observed at Sapporo, JAPAN. A new radiative transfer model for layered snow is developed by combining the 4-Stream Fast Model and the Dense Media Radiative Model and is introduced into the new algorithm. Effects of the snow particle grain size on brightness temperature observation in the microwave region are considered in the algorithm by using the multi-frequency channels of AMSR and AMSR-E. The algorithm was validated for the period from October 2004 to March 2005, using ground based brightness temperature observation, observed during field experiment in Sapporo. The estimated snow depth is not in good agreement with the in-situ data when snow pack is moist. However, the estimated snow depth is in good agreement with the in-situ data for dry snow condition.
机译:本文开发了新的微波扫描辐射计(AMSR)和地球观测系统(AMSR-E)的AMSR的新雪算法,并通过使用日本札幌观察到的雪深度数据来验证算法。通过结合4流快速模型和密集介质辐射模型,开发了一种用于分层雪的新的辐射转移模型,并被引入新算法。通过使用AMSR和AMSR-E的多频道,在算法中考虑雪粒粒度对微波区中亮度温度观察的影响。该算法于2004年10月至2005年3月的验证,使用基于地面的亮度温度观察,在札幌的野外实验期间观察到。估计的雪深度与湿湿湿气的原位数据不一致。然而,估计的雪深度与干旱性雪条件的原位数据吻合良好。

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