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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Comparison of erythemal UV irradiances from Ozone Monitoring Instrument (OMI) and ground-based data at four Thai stations
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Comparison of erythemal UV irradiances from Ozone Monitoring Instrument (OMI) and ground-based data at four Thai stations

机译:臭氧监测仪(OMI)的红斑紫外线辐射与泰国四个站点的地面数据的比较

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摘要

The Ozone Monitoring Instrument (OMI), on board the NASA EOS Aura spacecraft since July 2004, provides a global view of surface spectral ultraviolet (UV) irradiance at 305, 310, 324, and 380 run; erythemal dose rate both at overpass time and local noontime; and erythemal daily dose. Previous studies have shown comparisons of the OMI erythemal UV irradiances and ground-based UV measurements in areas of midlatitude and high latitudes, predominantly in the Northern Hemisphere. In this study the noontime erythemal UV dose rates retrieved from OMI and measured from broadband instruments at four sites in Thailand were compared. The comparisons show a positive bias for the OMI data with respect to the ground-based measurements. The differences between the two data sets were 30%-60% for all data and were 10%-40% for cloudless data. The differences for the cleanest site showed better agreement than those for the more urban sites. Using the Libradtran radiative transfer model, we show that aerosol is responsible for much of the positive bias in polluted areas. Since absorbing aerosol is not taken into account in the OM I surface UV algorithm, aerosol absorption correction factors have been introduced as a function of aerosol absorption optical thickness provided by OMI to improve the OMI UV data for urban and maritime sites. The differences between the corrected erythemal UV data and the ground-based data were reduced to less than 20%.
机译:自2004年7月以来,安装在NASA EOS Aura航天器上的臭氧监测仪(OMI)提供了305、310、324和380运行时的表面光谱紫外线(UV)辐照度的全局视图;在立交时间和当地正午时间的红斑剂量率;和每日红斑剂量。先前的研究表明,在中纬度和高纬度地区(主要在北半球),OMI红斑紫外线辐射与地面紫外线测量值进行了比较。在这项研究中,比较了在泰国四个地点从OMI获取并通过宽带仪器测量的中午红斑紫外线剂量率。比较结果表明,相对于基于地面的测量,OMI数据具有正偏差。对于所有数据,两个数据集之间的差异为30%-60%,对于无云数据,差异为10%-40%。最干净的站点的差异显示出比城市更多的站点更好的一致性。使用Libradtran辐射传递模型,我们证明了气溶胶是造成污染地区大部分正偏差的原因。由于在OM I表面UV算法中未考虑吸收气溶胶,因此引入了气溶胶吸收校正因子作为OMI提供的气溶胶吸收光学厚度的函数,以改善城市和海事场所的OMI UV数据。校正后的红斑紫外线数据和基于地面的数据之间的差异减少到小于20%。

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