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Remote sensing of aerosols over North American land surfaces from POLDER and MODIS measurements

机译:通过POLDER和MODIS测量对北美陆地表面的气溶胶进行遥感

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We examine two different aerosol remote sensing approaches based on polarized ADEOS-1 POLDER measurements and on multispectral EOS Terra MODIS dark target retrieval. Satellite-derived aerosol optical depth (AOD) is assessed from comparisons with AERONET/AEROCAN ground-based sunphotometer AOD measurements over North America. The results show that the POLDER polarization retrieval method for AOD at 865 nm yields large scatter with a root mean square error (RMSE) of 0.11 for single pixels, and RMSE = 0.092 for 3 x 3 windows and a systematic mean overestimation of + 0.036 and + 0.031 for single pixels and 3 x 3 windows, respectively. The correlation statistics can be significantly improved by employing the Size Weighted Aerosol Index (SWAI) defined as the product of the AOD times the Angstrom exponent, showing a correlation coefficient (R) of 0.68 with RMSE = 0.072 for single pixels and R = 0.75 with RMSE = 0.065 for the 3 x 3 windows. We have checked the reliability of the POLDER inversion scheme by comparing the aerosol polarized radiance (i.e., corrected for ground and molecular contributions) with AOD sunphotometer measurements at 670 nm for five different sites (R = 0.36). The MODIS capability for monitoring seasonal and long-term aerosol dynamics is assessed by analyzing the 8-day MODIS AOD product at 550 nm (Level-3 product). The retrieved AOD accuracy is variable depending on sites and observed AOD dynamic range; for the overall database (N = 1200 points), R = 0.37, RMSE = 0.17 and Bias = +0.088. We illustrate how satellite-derived AOD images can be used to monitor spatial and temporal aerosol dynamics at the regional scale (anthropogenic pollution events over the North-Eastern American coast) and at the continental scale (dust storm events and mean seasonal background atmospheric aerosol loading). It appears that aerosol mapping from satellite images is still difficult over North America, particularly at high latitudes where AOD variations are generally relatively small.
机译:我们研究了基于极化ADEOS-1 POLDER测量和基于多光谱EOS Terra MODIS暗目标检索的两种不同的气溶胶遥感方法。通过与北美地区的AERONET / AEROCAN地面日光光度计AOD测量值进行比较,评估了卫星衍生的气溶胶光学深度(AOD)。结果表明,用于865 nm的AOD的POLDER偏振检索方法产生的散射较大,单个像素的均方根误差(RMSE)为0.11,3 x 3窗口的RMSE = 0.092,系统平均高估为+ 0.036和+ 0.031分别用于单个像素和3 x 3窗口。通过将尺寸加权气溶胶指数(SWAI)定义为AOD乘以Angstrom指数的乘积,可以显着改善相关统计数据,对于单个像素,相关系数(R)为0.68,RMSE = 0.072,对于R = 0.75,对于3 x 3窗口,RMSE = 0.065。我们通过比较5个不同位置(R = 0.36)的气溶胶极化辐射度(即针对地面和分子贡献进行了校正)与AOD太阳光度计在670 nm处的测量值来检验POLDER反演方案的可靠性。通过分析550 nm处的8天MODIS AOD产品(Level 3产品),可以评估MODIS监测季节性和长期气溶胶动力学的能力。检索到的AOD精度取决于位置和观察到的AOD动态范围,因此是可变的;对于整个数据库(N = 1200点),R = 0.37,RMSE = 0.17和偏差= +0.088。我们说明了如何使用卫星衍生的AOD图像来监测区域范围(北美沿海的人为污染事件)和大陆范围(沙尘暴事件和平均季节背景大气气溶胶负荷)的时空气溶胶动力学)。在北美地区,从卫星图像进行气溶胶制图似乎仍然很困难,特别是在高纬度地区,AOD变化通常相对较小。

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