首页> 外文会议>IRS 2012 >A Method of Estimating Cloud Transmission in the UV Spectral Range using Data from Different Satellite Measurements and Reanalysis
【24h】

A Method of Estimating Cloud Transmission in the UV Spectral Range using Data from Different Satellite Measurements and Reanalysis

机译:使用不同卫星测量和再分析的数据估算UV光谱范围内云传输的方法

获取原文

摘要

We propose a method for cloud UV transmission evaluating on the base of TOMS/OMI LER (Lambertian Equivalent Reflectivity) dataset, which provides more accurate retrievals of UV levels at ground in conditions with high surface albedo. For the improvement of cloud UV transmission estimates, in addition to TOMS/OMI LER data we used two datasets: low layer cloud amount data from ECMWF ERA Interim reanalysis, and surface albedo retrievals according to the method proposed in [1]. The obtained results were tested against experimental data of the Meteorological Observatory of Moscow State University (MSU MO, 55.7N, 37.5E), which included long-term measurements of erythemally weighed radiation, and UV radiation in the spectral range 300-380 nm. The comparisons were made with the cloud UV transmission estimates, obtained by the standard TOMS LER approach [2]. We showed that the cloud UV transmission estimates from the proposed method gave a better agreement with the experimental data compared with the results obtained from the standard TOMS LER approach for winter conditions with high surface albedo. During warm period the retrievals obtained from different methods are in a satisfactory agreement.
机译:我们提出了一种在汤姆/ omi ler(Lambertian等效反射率)数据集的基础上进行云UV传输的方法,其在高表面Albedo的条件下在地面提供更准确的UV电平检索。为了改善云UV传输估计,除了汤姆/ omi ler数据之外,我们使用了两个数据集:来自ECMWF ERA临时再分析的低层云量数据,以及根据[1]中提出的方法的表面反照检索。测试结果针对莫斯科国立大学气象观测(MSU Mo,55.7N,37.5e)的实验数据进行了测试,其中包括半葡萄酒辐射的长期测量,以及光谱范围300-380nm的UV辐射。通过标准TOMS LER方法获得的云UV传输估计进行了比较[2]。我们认为,与冬季条件的标准TOMS LED方法获得的结果相比,所提出的方法的云UV传输估计与实验数据相比,与实验数据进行了更好的达成协议。在温暖时期,从不同方法获得的检索是令人满意的协议。

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