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首页> 外文期刊>Atmospheric Measurement Techniques >Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record
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Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record

机译:基于CALIPSO-CALIOP云光学厚度信息的AVHRR全局云检测灵敏度的特征:基于CM SAF CLARA-A2气候数据记录的结果演示

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摘要

The sensitivity in detecting thin clouds of the cloud screening method being used in the CM SAF cloud, albedo and surface radiation data set from AVHRR data (CLARA-A2) cloud climate data record (CDR) has been evaluated using cloud information from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard the CALIPSO satellite. The sensitivity, including its global variation, has been studied based on collocations of Advanced Very High Resolution Radiometer (AVHRR) and CALIOP measurements over a 10-year period (2006-2015). The cloud detection sensitivity has been defined as the minimum cloud optical thickness for which 50% of clouds could be detected, with the global average sensitivity estimated to be 0.225. After using this value to reduce the CALIOP cloud mask (i.e. clouds with optical thickness below this threshold were interpreted as cloud-free cases), cloudiness results were found to be basically unbiased over most of the globe except over the polar regions where a considerable underestimation of cloudiness could be seen during the polar winter. The overall probability of detecting clouds in the polar winter could be as low as 50% over the highest and coldest parts of Greenland and Antarctica, showing that a large fraction of optically thick clouds also remains undetected here. The study included an in-depth analysis of the probability of detecting a cloud as a function of the vertically integrated cloud optical thickness as well as of the cloud's geographical position. Best results were achieved over oceanic surfaces at mid-to high latitudes where at least 50% of all clouds with an optical thickness down to a value of 0.075 were detected. Corresponding cloud detection sensitivities over land surfaces outside of the polar regions were generally larger than 0.2 with maximum values of approximately 0.5 over the Sahara and the Arabian Peninsula. For polar land surfaces the values were close to 1 or higher with maximum values of 4.5 for the parts with the highest altitudes over Greenland and Antarctica. It is suggested to quantify the detection performance of other CDRs in terms of a sensitivity threshold of cloud optical thickness, which can be estimated using active lidar observations. Validation results are proposed to be used in Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulation Package (COSP) simulators for cloud detection characterization of various cloud CDRs from passive imagery.
机译:使用来自云的云信息评估了从AVHRR数据(Clara-A2)云气候数据记录(CDR)中使用的云筛选方法中使用的云筛选方法的薄云的灵敏度已经使用云 - 有正交偏振的气溶胶激光乐队(卡利普)船上山底卫星。已经基于高级高分辨率辐射计(AVHRR)和Caliop测量超过10年期(2006-2015),研究了包括其全局变异的灵敏度,包括其全局变化。云检测灵敏度已被定义为最小云光学厚度,可以检测到50%的云,全局平均灵敏度估计为0.225。在使用该值以减少卡索云掩模(即,使用下阈值的光学厚度的云被解释为无云的情况),除了在极性区域之外,发现浑浊的结果基本上在大多数地球上都是无偏见的在极地冬天可以看到云。在格陵兰岛和南极的最高和最冷的地区的极地冬季检测云层的总体概率可能低至50%,表明这里的大部分光学厚的云也仍未被发现。该研究包括作为垂直集成云光学厚度以及云的地理位置的函数检测云的可能性的深度分析。在中高纬度的海洋表面上实现了最佳结果,其中检测到光学厚度的至少50%的云,被检测到0.075的值。相应的云检测极性区域外面的云检测灵敏度通常大于0.2,撒哈拉和阿拉伯半岛的最大值约为0.5。对于极地陆地表面,值接近1或更高,最大值为4.5,适用于格陵兰岛和南极地区最高的零件。建议在云光学厚度的灵敏度阈值方面量化其他CDR的检测性能,这可以使用有源激光雷达观察来估计。验证结果被建议用于云反馈模型离心概况(CFMIP)观察模拟包(COSCOS)模拟器,用于来自被动图像的各种云CDR的云检测表征。

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