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Ground-based observations of clouds through both an automatic imager and human observation

机译:通过自动成像仪和人工观测对云进行地面观测

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The routine to determine the local cloud cover (LCC) drawn from sky images obtained using a ground-based automatic imager is validated. Almost 3 years of daily data of LCC and cloud cover measurements by ground-based human observation (CCHO) were compared for two Brazilian stations set 6km apart. The linear fitting between daily values showed a co-efficient of determination (r(2)) and a percent scattering of points (SD%) of approximate to 0.77 and approximate to 19.4% respectively. These results are evidence for the significant similarity between the two sets of data. On the other hand, the level of difference found can be explained by the fact that (1) the data refer to independent micro-scale observations of the sky from stations set a few kilometres apart and (2) the data were drawn from interpretations of cloud cover by an automatic imager and a human observer. The monthly average values of LCC and CCHO showed better linear fitting parameters r(2)=0.95 and SD%=6.3%. Average differences of approximate to-10% from LCC to CCHO were found. These average differences may reflect a systematic bias between the two processes of measuring cloud cover.
机译:验证了确定使用基于地面的自动成像仪获得的天空图像得出的局部云量(LCC)的例程。比较了相距6公里的两个巴西气象站近3年的LCC每日数据和通过地面人为观测(CCHO)测量的云量。日值之间的线性拟合显示确定系数(r(2))和点的百分比分散率(SD%)分别约为0.77和约19.4%。这些结果证明了两组数据之间的显着相似性。另一方面,可以通过以下事实来解释发现的差异水平:(1)数据是指相距几公里的站点对天空的独立微尺度观测,而(2)数据是根据对自动成像仪和人类观察者的云层覆盖。 LCC和CCHO的月平均值显示出更好的线性拟合参数r(2)= 0.95和SD%= 6.3%。发现从LCC到CCHO的平均差异约为-10%。这些平均差异可能反映了测量云量的两个过程之间的系统偏差。

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