Multi-sensor satellite remote sensing of dust aerosols over North Africa during GERBILS

Multi-sensor satellite remote sensing of dust aerosols over North Africa during GERBILS
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沙鼠期间北非上空沙尘气溶胶的多传感器卫星遥感

DOI:
10.1002/qj.863
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发表时间:
2011
影响因子:
8.9
通讯作者:
Christopher S
Christopher S
中科院分区:
地球科学3区
文献类型:
--
作者:
Christopher S

文献摘要

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在本文中,我们提供了一个概述的各种卫星产品在撒哈拉沙漠,可在沙鼠现场活动。我们的研究结果表明,所有中可见光卫星气溶胶光学厚度(AOD)产品与AERONET检索匹配良好。在低气溶胶光学厚度(气溶胶光学厚度< 1)时,卫星气溶胶光学厚度与飞机气溶胶光学厚度比较接近,但在高气溶胶光学厚度时,卫星气溶胶光学厚度与飞机气溶胶光学厚度比较偏低。然后,我们评估了整个研究区域(10-30°N和20°W-10°E)的0.5 × 0.5度网格的卫星产品。如果我们使用多角度成像光谱仪(MISR)作为明亮目标上AOD反演的基准,则与整个研究区域的MISR相比,从臭氧监测仪器气溶胶指数-MISR关系中得出的估计AOD表现最佳。尽管卫星产品之间存在差异,但卫星反演技术的进步现在提供了沙漠等明亮目标的AOD反演,这对数值模拟模拟比较和其他研究很有用。此外,来自飞机和地面的现场信息继续为验证卫星产品和评估其优缺点提供宝贵的信息。版权所有© 2011皇家气象学会和英国皇家气象局版权所有
In this paper we provide an overview of various satellite products over the Sahara Desert that were available during the GERBILS field campaign. Our results indicate that all mid‐visible satellite aerosol optical depth (AOD) products match well with AERONET retrievals. For low AOD (AOD < 1), the satellite AODs compare well with aircraft AOD values but they tend to underestimate at high AOD values. We then assessed the satellite products in 0.5 × 0.5 degree grids for the entire study region (10–30°N and 20°W–10°E). If we use a multi‐angle imaging spectroradiometer (MISR) as a benchmark for AOD retrievals over bright targets, the estimated AOD derived from the ozone‐monitoring instrument aerosol index–MISR relationship performs best when compared with MISR for the entire study region. Although differences exist among satellite products, the advancement in satellite retrieval techniques now provide AOD retrievals over bright targets such as deserts, which are useful for numerical modeling simulation comparisons and other studies. Furthermore, thein situinformation from aircraft and the ground continue to provide valuable information for validating satellite products and for assessing their strengths and weaknesses. Copyright © 2011 Royal Meteorological Society and British Crown Copyright, theMet Office