Kar Jayanta, Vaughan Mark A, Lee Kam-Pui, Tackett Jason L, Avery Melody A, Garnier Anne, Getzewich Brian J, Hunt William H, Josset Damien, Liu Zhaoyan, Lucker Patricia L, Magill Brian, Omar Ali H, Pelon Jacques, Rogers Raymond R, Toth Travis D, Trepte Charles R, Vernier Jean-Paul, Winker David M, Young Stuart A
Science Systems and Applications Inc., Hampton, VA, USA.
NASA Langley Research Center, Hampton, VA, USA.
Atmos Meas Tech. 2018 Mar;11(3):1459-1479. doi: 10.5194/amt-11-1459-2018. Epub 2018 Mar 14.
Data products from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on board Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were recently updated following the implementation of new (version 4) calibration algorithms for all of the level 1 attenuated backscatter measurements. In this work we present the motivation for and the implementation of the version 4 nighttime 532 nm parallel channel calibration. The nighttime 532 nm calibration is the most fundamental calibration of CALIOP data, since all of CALIOP's other radiometric calibration procedures - i.e., the 532 nm daytime calibration and the 1064 nm calibrations during both nighttime and daytime - depend either directly or indirectly on the 532 nm nighttime calibration. The accuracy of the 532 nm nighttime calibration has been significantly improved by raising the molecular normalization altitude from 30-34 km to 36-39 km to substantially reduce stratospheric aerosol contamination. Due to the greatly reduced molecular number density and consequently reduced signal-to-noise ratio (SNR) at these higher altitudes, the signal is now averaged over a larger number of samples using data from multiple adjacent granules. As well, an enhanced strategy for filtering the radiation-induced noise from high energy particles was adopted. Further, the meteorological model used in the earlier versions has been replaced by the improved MERRA-2 model. An aerosol scattering ratio of 1.01 ± 0.01 is now explicitly used for the calibration altitude. These modifications lead to globally revised calibration coefficients which are, on average, 2-3% lower than in previous data releases. Further, the new calibration procedure is shown to eliminate biases at high altitudes that were present in earlier versions and consequently leads to an improved representation of stratospheric aerosols. Validation results using airborne lidar measurements are also presented. Biases relative to collocated measurements acquired by the Langley Research Center (LaRC) airborne high spectral resolution lidar (HSRL) are reduced from 3.6% ± 2.2% in the version 3 data set to 1.6% ± 2.4 % in the version 4 release.
搭载在云-气溶胶激光雷达与红外探路者卫星观测(CALIPSO)卫星上的正交偏振云-气溶胶激光雷达(CALIOP)的数据产品,在对所有1级衰减后向散射测量实施新的(第4版)校准算法后,最近进行了更新。在这项工作中,我们介绍了第4版夜间532纳米平行通道校准的动机和实施情况。夜间532纳米校准是CALIOP数据最基本的校准,因为CALIOP的所有其他辐射校准程序——即532纳米白天校准以及夜间和白天的1064纳米校准——都直接或间接地依赖于532纳米夜间校准。通过将分子归一化高度从30 - 34千米提高到36 - 39千米,以大幅减少平流层气溶胶污染,532纳米夜间校准的精度得到了显著提高。由于在这些更高高度处分子数密度大大降低,从而信噪比(SNR)降低,现在使用来自多个相邻颗粒的数据对信号在更多样本上进行平均。此外,采用了一种增强策略来过滤来自高能粒子的辐射诱导噪声。此外,早期版本中使用的气象模型已被改进的MERRA - 2模型所取代。现在在校准高度明确使用1.01±0.01的气溶胶散射比。这些修改导致全球校准系数经过修订,平均比之前的数据版本低2 - 3%。此外,新的校准程序被证明消除了早期版本中存在的高海拔偏差,从而改善了平流层气溶胶的表示。还展示了使用机载激光雷达测量的验证结果。相对于兰利研究中心(LaRC)机载高光谱分辨率激光雷达(HSRL)进行的并置测量的偏差,从第3版数据集中的3.6%±2.2%降低到了第4版中的1.6%±2.4%。