Toward snowfall retrieval over land by combining satellite and in situ measurements
Toward snowfall retrieval over land by combining satellite and in situ measurements
复制标题
通过结合卫星和现场测量来反演陆地降雪
DOI：
10.1029/2009jd012307
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发表时间：
2009
影响因子：
--
通讯作者：
T. Haar
中科院分区：
文献类型：
--
作者：
Y. Noh;Guosheng Liu;Andrew S. Jones;T. Haar
[1]虽然降雪量是热带以外地区全球降水量的一个重要组成部分，但卫星降雪量估计仍处于早期发展阶段，现有的卫星遥感技术尚未提供高纬度降雪量的可靠估计。在这项研究中，开发一个全球降雪算法的目标，贝叶斯技术已被测试的降雪检索在陆地上使用高频微波卫星数据。在该算法中，从卫星和地面雷达和现场飞机测量的观测数据被用来建立先验数据库，包括降雪剖面和相应的亮度温度。检索算法适用于先进的微波探测单元B数据的降雪情况下，发生在五大湖地区，并与地面雷达数据和每天从国家气象服务站收集的降雪数据的结果进行了比较。虽然该算法仍处于特设阶段，但结果表明，在初冬季节，当地面上没有积雪时，卫星反演结果与地面测量结果比较良好。然而，对于冬季后期，当雪不断地覆盖地面时，降雪反演变得非常嘈杂并且显示出高估。因此，它的结论是，发展的方法，有效地消除地面积雪污染将是未来的主要任务，以提高精度的卫星降雪反演在陆地上。
[1] Although snowfall is an important component of global precipitation in extratropical regions, satellite snowfall estimate is still in an early developmental stage, and existing satellite remote sensing techniques do not yet provide reliable estimates of snowfall over higher latitudes. Toward the goal of developing a global snowfall algorithm, in this study, a Bayesian technique has been tested for snowfall retrieval over land using high-frequency microwave satellite data. In this algorithm, observational data from satellite- and surface-based radars and in situ aircraft measurements are used to build the a priori database consisting of snowfall profiles and corresponding brightness temperatures. The retrieval algorithm is applied to the Advanced Microwave Sounding Unit-B data for snowfall cases that occurred over the Great Lakes region, and the results are compared with the surface radar data and daily snowfall data collected from National Weather Service stations. Although the algorithm is still at an ad hoc stage, the results show that the satellite retrievals compare well with surface measurements in the early winter season, when there is no accumulated snow on ground. However, for the late winter season, when snow constantly covers the ground, the snowfall retrievals become very noisy and show overestimation. Therefore, it is concluded that developing methods to efficiently remove surface snow cover contamination will be the major task in the future to improve the accuracy of satellite snowfall retrieval over land.