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Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data

机译:二十年观察到大西洋东南大西洋中云中的烟雾:深蓝色算法更新和验证oracles现场活动数据

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This study presents and evaluates an updated algorithm for quantification of absorbing aerosols above clouds (AACs) from passive satellite measurements. The focus is biomass burning in the south-eastern Atlantic Ocean during the 2016 and 2017 ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign deployments. The algorithm retrieves the above-cloud aerosol optical depth (AOD) and underlying liquid cloud optical depth and is applied to measurements from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS), and Visible Infrared Imaging Radiometer Suite (VIIRS) from 1997 to 2017. Airborne NASA Ames Spectrometers for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) and NASA Langley High Spectral Resolution Lidar 2 (HSRL2) data collected during ORACLES provide important validation for spectral AOD for MODIS and VIIRS; as the SeaWiFS mission ended in 2010, it cannot be evaluated directly. The 4STAR and HSRL2 comparisons are complementary and reveal performance generally in line with uncertainty estimates provided by the optimal estimation retrieval framework used. At present the two MODIS-based data records seem the most reliable, although there are differences between the deployments, which may indicate that the available data are not yet sufficient to provide a robust regional validation. Spatiotemporal patterns in the data sets are similar, and the time series are very strongly correlated with each other (correlation coefficients from 0.95 to 0.99). Offsets between the satellite data sets are thought to be chiefly due to differences in absolute calibration between the sensors. The available validation data for this type of algorithm are limited to a small number of field campaigns, and it is strongly recommended that such airborne measurements continue to be made, both over the southern Atlantic Ocean and elsewhere.
机译:本研究提出了一种更新的算法,用于量化从被动卫星测量的云层(AAC)上方吸收气溶胶。在2016年和2017年,在2016年和2017年期间,在东南大西洋中燃烧的重点是云层以上的气溶胶及其相互作用(奥雅乐州)场竞选部署。该算法检索上云气雾光学深度(AOD)和下面的液体云光学深度,并应用于来自海景宽视野传感器(SEAWIFS)的测量值,适度分辨率成像光谱仪(MODIS)和可见自1997年至2017年的红外成像辐射计套件对于Modis和Viirs;随着SeaWIFS任务于2010年结束,它无法直接评估。 4STAR和HSRL2比较是互补的,并且通常符合所使用的最佳估计检索框架提供的不确定性估计。目前,两个基于MODIS的数据记录似乎是最可靠的,尽管部署之间存在差异,这可能表明可用数据尚不就是提供强大的区域验证。数据集中的时空模式类似,时间序列彼此非常强烈地相关(相关系数为0.95到0.99)。认为卫星数据集之间的偏移主要是由于传感器之间绝对校准的差异。这种类型算法的可用验证数据仅限于少量的现场运动,强烈建议在南大西洋和其他地方进行这种空中测量。

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