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Validation of ozone monitoring instrument ultraviolet index against ground-based UV index in Kampala, Uganda

机译：乌干达坎帕拉臭氧监测仪紫外线指数相对于地面紫外线指数的验证

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The Ozone Monitoring Instrument (OMI) overpass solar ultraviolet (UV) indices have been validated against the ground-based UV indices derived from Norwegian Institute for Air Research UV measurements in Kampala (0.31 degrees N, 32.58 degrees E, 1200 m), Uganda for the period between 2005 and 2014. An excessive use of old cars, which would imply a high loading of absorbing aerosols, could cause the OMI retrieval algorithm to overestimate the surface UV irradiances. The UV index values were found to follow a seasonal pattern with maximum values in March and October. Under all-sky conditions, the OMI retrieval algorithm was found to overestimate the UV index values with a mean bias of about 28%. When only days with radiation modification factor greater than or equal to 65%, 70%, 75%, and 80% were considered, the mean bias between ground-based and OMI overpass UV index values was reduced to 8%, 5%, 3%, and 1%, respectively. The overestimation of the UV index by the OMI retrieval algorithm was found to be mainly due to clouds and aerosols. (C) 2015 Optical Society of America
机译：臭氧监测仪（OMI）越过太阳紫外线（UV）指数已针对挪威航空研究机构在坎帕拉（0.31度，32.58度，1200 m）的乌干达紫外线测量得出的地面紫外线指数进行了验证。时间范围为2005年至2014年。过度使用旧车可能会导致大量吸收性气溶胶，可能会导致OMI检索算法高估了表面紫外线辐照度。发现紫外线指数值遵循季节性模式，在三月和十月达到最大值。在全天候情况下，发现OMI检索算法会以大约28％的平均偏差高估紫外线指数值。仅考虑辐射修正系数大于或等于65％，70％，75％和80％的天数时，地面和OMI越区紫外线指数值之间的平均偏差会降低到8％，5％，3 ％和1％。发现OMI检索算法对紫外线指数的高估主要归因于云和气溶胶。 （C）2015年美国眼镜学会

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