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Estimating cloud optical thickness and associated surface UV irradiance from SEVIRI by implementing a semi-analytical cloud retrieval algorithm

机译:通过实施半分析云检索算法,估计来自SEVIRI的云的光学厚度和相关的表面紫外线辐射

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In this paper, we describe the implementation of the Semi-Analytical Cloud Retrieval Algorithm (SACURA), to obtain scaled cloud optical thickness (SCOT) from satellite imagery acquired with the SEVIRI instrument and surface UV irradiance levels. In estimation of SCOT particular care is given to the proper specification of the background (i.e. cloud-free) spectral albedo and the retrieval of the cloud water phase from reflectance ratios in SEVIRI's 0.6 μm and 1.6 μm spectral bands. The SACURA scheme is then applied to daytime SEVIRI imagery over Europe, for the month of June 2006, at 15-min time increments. The resulting SCOT fields are compared with values obtained by the CloudSat experimental satellite mission, yielding a negligible bias, correlation coefficients ranging from 0.51 to 0.78, and a root mean square difference of 1 to 2 SCOT increments. These findings compare favourably to results from similar intercomparison exercises reported in the literature. Based on the retrieved SCOT from SEVIRI and radiative transfer modelling approach, simple parameterisations are proposed to estimate the surface UV-A and UV-B irradiance. The validation of the modelled UV-A and UV-B irradiance against the measurements over two Belgian stations, Redu and Ostend, indicate good agreement with the high correlation, index of agreement and low bias. The SCOT fields estimated by implementing SACURA on imagery from geostationary satellite are reliable and its impact on surface UV irradiance levels is well produced.
机译:在本文中,我们描述了半分析云检索算法(SACURA)的实现,以从使用SEVIRI仪器获取的卫星图像和表面紫外线辐照度获得缩放的云光学厚度(SCOT)。在估算SCOT时,应特别注意背景(即无云)光谱反照率的适当规范,以及从SEVIRI的0.6μm和1.6μm光谱带的反射率中检索云水相。然后,将SACURA方案应用于欧洲的白天SEVIRI图像(2006年6月),时间增量为15分钟。将所得的SCOT字段与CloudSat实验卫星任务获得的值进行比较,得出的偏差可以忽略不计,相关系数范围从0.51到0.78,均方根差为1到2 SCOT增量。这些发现与文献报道的类似比对活动的结果相比具有优势。基于从SEVIRI检索到的SCOT和辐射传递建模方法,提出了简单的参数化方法来估计表面UV-A和UV-B辐照度。相对于两个比利时站点Redu和Ostend的测量值对建模的UV-A和UV-B辐照度的验证表明,该模型具有高度相关性,一致性指数和低偏差的良好一致性。通过在对地静止卫星的影像上实施SACURA估算出的SCOT场是可靠的,并且其对地面UV辐照度水平的影响也很好。

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