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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment
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A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment

机译：利用全球臭氧监测实验中的氧气A波段测量值快速检索云参数的方法

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摘要

The Global Ozone Monitoring Experiment (GOME) on board the ERS-2 is-designed to measure trace gas column densities in the Earth's atmosphere. Such retrievals are hindered by the presence of clouds. The most important cloud parameters that are needed to correct trace gas column density retrievals for the disturbing effects of clouds are the (effective) cloud fraction and cloud top pressure. At present, in the operational COME data processor an effective cloud fraction is derived for each pixel, but cloud top pressure is assumed a priori and is deduced from a climatological database. Here we report an improved cloud retrieval scheme, which simultaneously retrieves the effective cloud fraction and cloud top pressure from COME data. This algorithm, called Fast Retrieval Scheme for Clouds from the Oxygen A band (FRESCO), makes use of reflectivities as measured by GOME inside and outside the oxygen A band (758-778 nm). For validation, the results of FRESCO are compared to effective cloud fractions and cloud top pressures derived with standard methods from colocated measurements made by the Along Track Scanning Radiometer-2 (ATSR-2). The brightness temperatures of the cloudy pixels as measured by ATSR-2 are related to cloud top pressures using temperature profiles from the European Center for Medium-range Weather Forecasts model. Generally, the results from FRESCO and ATSR-2 agree reasonably well. For the effective cloud fractions the average difference (based on a comparison of 322 points) is 0.04; the standard deviation is 0.09. For the cloud top pressures, only points with an effective cloud fraction larger than 0.1 have been compared. For these 236 points the average difference in cloud top pressure is 65 hPa, and the standard deviation is 92 hPa. [References: 42]
机译：ERS-2上的全球臭氧监测实验（GOME）旨在测量地球大气中的痕量气柱密度。云的存在阻碍了这种检索。校正痕量气柱密度反演云的干扰效果所需的最重要的云参数是（有效）云分数和云顶压力。目前，在可操作的COME数据处理器中，为每个像素导出了有效的云分数，但是先验地假定了云顶压力，并从气候数据库中推导出了云顶压力。在这里，我们报告了一种改进的云检索方案，该方案可同时从COME数据中检索有效的云分数和云顶压力。此算法称为从A氧带（FRESCO）进行云快速检索方案（FRESCO），该算法利用了GOME在A氧带（758-778 nm）内外测量的反射率。为了进行验证，将FRESCO的结果与有效方法的云量和采用标准方法从沿航迹扫描辐射计2（ATSR-2）进行的同地测量得出的云顶压力进行比较。使用欧洲中程天气预报中心模型的温度曲线，通过ATSR-2测量的浑浊像素的亮度温度与云顶压力相关。通常，FRESCO和ATSR-2的结果相当吻合。对于有效云分数，平均差异（基于322个点的比较）为0.04;标准偏差为0.09。对于云层顶部压力，仅比较了有效云层分数大于0.1的点。对于这236个点，云顶压力的平均差为65 hPa，标准偏差为92 hPa。 [参考：42]

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