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Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust

机译:CALIPSO气溶胶光学深度检索到AERONET测量的比较,以及尘埃激光雷达比率的气候学

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We compared CALIPSO column aerosol optical depths at 0.532 μm to measurements at 147 AERONET sites, synchronized to within 30 min of satellite overpass times during a 3-yr period. We found 677 suitable overpasses, and a CALIPSO bias of ?13% relative to AERONET for the entire data set; the corresponding absolute bias is ?0.029, and the standard deviation of the mean (SDOM) is 0.014. Consequently, the null hypothesis is rejected at the 97% confidence level, indicating a statistically significant difference between the datasets. However, if we omit CALIPSO columns that contain dust from our analysis, the relative and absolute biases are reduced to ?3% and ?0.005 with a standard error of 0.016 for 449 overpasses, and the statistical confidence level for the null hypothesis rejection is reduced to 27%. We also analyzed the results according to the six CALIPSO aerosol subtypes and found relative and absolute biases of ?29% and ?0.1 for atmospheric columns that contain the dust subtype exclusively, but with a relatively high correlation coefficient of R = 0.58; this indicates the possibility that the assumed lidar ratio (40 sr) for the CALIPSO dust retrievals is too low. Hence, we used the AERONET size distributions, refractive indices, percent spheres, and forward optics code for spheres and spheroids to compute a lidar ratio climatology for AERONET sites located in the dust belt. The highest lidar ratios of our analysis occur in the non-Sahel regions of Northern Africa, where the median lidar ratio at 0.532 μm is 55.4 sr for 229 retrievals. Lidar ratios are somewhat lower in the African Sahel (49.7 sr for 929 retrievals), the Middle East (42.6 sr for 489 retrievals), and Kanpur, India (43.8 sr for 67 retrievals). We attribute this regional variability in the lidar ratio to the regional variability of the real refractive index of dust, as these two parameters are highly anti-correlated (correlation coefficients range from ?0.51 to ?0.85 for the various regions). The AERONET refractive index variability is consistent with the variability of illite concentration in dust across the dust belt.
机译:我们将Calipso柱气溶胶光学深度与0.532μm进行比较至147个AeroNet位点的测量,在3年期间在卫星立交桥30分钟内同步。我们发现了677个合适的立交桥,以及相对于整个数据集的机动机器的Chipso偏差?相应的绝对偏压是?0.029,平均值(SDOM)的标准偏差为0.014。因此,在97%的置信水平处被拒绝零假设,表明数据集之间的统计学上显着差异。但是,如果我们省略了含有来自我们分析的灰尘的Calipso色谱柱,则相对和绝对偏差减少到3%且Δ0.005,标准误差为0.016,对于449个立交桥,并且零假假设排斥的统计置信水平降低到27%。我们还根据六个Calipso气溶胶亚型分析结果,并找到了相对和绝对偏差的α29%和α0.1,用于含有灰尘亚型的大气柱,但r = 0.58的相对高的相关系数;这表明Calipso灰尘检索的假定LIDAR比率(40 SR)太低了可能性。因此,我们使用了球卷大小分布,折射率,球体,球体的前向光学码,以及球体和球体的正向光学码,以计算位于灰尘带的AeroNet位点的激光雷达比率气候。我们分析的最高LIDAR比率出现在北非的非Sahel区,其中LIDAR比率为0.532μm为55.4 sR,229个检索。非洲萨赫尔的LIDAR比率有所较低(929年的929年检索),中东(489次检索42.6 SR),印度Kanpur(43.8 SR为67检索)。我们将这种区域可变性归因于激光雷达比的区域可变性与真实折射率的区域可变性,因为这两个参数是高度反相关的(相关系数范围为0.51到0.85的各个区域)。 AERONET折射率可变性与灰尘带上灰尘中的灯泡浓度的可变性一致。

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