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Evaluation of Several A-Train Ice Cloud Retrieval Products with In Situ Measurements Collected during the SPARTICUS Campaign

机译:在SPARTICUS运动期间收集的一些A火车冰云检索产品的现场测量结果进行评估

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In this study several ice cloud retrieval products that utilize active and passive A-Train measurements are evaluated using in situ data collected during the Small Particles in Cirrus (SPARTICUS) field campaign. The retrieval datasets include ice water content (IWC), effective radius r(e), and visible extinction sigma from CloudSat level-2C ice cloud property product (2C-ICE), CloudSat level-2B radar-visible optical depth cloud water content product (2B-CWC-RVOD), radar-lidar(DARDAR), and sigma from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). When the discrepancies between the radar reflectivity Z(e) derived from 2D stereo probe (2D-S) in situ measurements and Z(e) measured by the CloudSat radar are less than 10 dBZ(e), the flight mean ratios of the retrieved IWC to the IWC estimated from in situ data are 1.12, 1.59, and 1.02, respectively for 2C-ICE, DARDAR, and 2B-CWC-RVOD. For r(e), the flight mean ratios are 1.05, 1.18, and 1.61, respectively. For sigma, the flight mean ratios for 2C-ICE, DARDAR, and CALIPSO are 1.03, 1.42, and 0.97, respectively. The CloudSat 2C-ICE and DARDAR retrieval products are typically in close agreement. However, the use of parameterized radar signals in ice cloud volumes that are below the detection threshold of the CloudSat radar in the 2C-ICE algorithm provides an extra constraint that leads to slightly better agreement with in situ data. The differences in assumed mass-size and area-size relations between CloudSat 2C-ICE and DARDAR also contribute to some subtle difference between the datasets: r(e) from the 2B-CWC-RVOD dataset is biased more than the other retrieval products and in situ measurements by about 40%. A slight low (negative) bias in CALIPSO sigma may be due to 5-km averaging in situations in which the cirrus layers have significant horizontal gradients in sigma.
机译:在这项研究中,利用在卷云中的小颗粒(SPARTICUS)野外活动期间收集的原位数据评估了利用主动和被动A-Train测量的几种冰云检索产品。检索数据集包括CloudSat 2C级冰云特性产品(2C-ICE),CloudSat 2B级2B雷达可见光深度云水含量产品的冰水含量(IWC),有效半径r(e)和可见消光西格玛(2B-CWC-RVOD),雷达激光雷达(DARDAR)和来自云气溶胶激光雷达和红外探路者卫星观测(CALIPSO)的sigma。当从2D立体探头(2D-S)进行原位测量得出的雷达反射率Z(e)与CloudSat雷达测得的Z(e)之间的差异小于10 dBZ(e)时,检索到的飞行平均比率对于2C-ICE,DARDAR和2B-CWC-RVOD,根据现场数据估算的IWC分别为1.12、1.59和1.02。对于r(e),飞行平均比率分别为1.05、1.18和1.61。对于sigma,2C-ICE,DARDAR和CALIPSO的飞行平均比率分别为1.03、1.42和0.97。 CloudSat 2C-ICE和DARDAR检索产品通常是非常一致的。但是,在2C-ICE算法中使用低于CloudSat雷达的检测阈值的冰云量中参数化雷达信号的使用提供了额外的约束,从而导致与原位数据的一致性更好。 CloudSat 2C-ICE和DARDAR之间假定的质量-尺寸和面积-尺寸关系的差异也造成了数据集之间的一些细微差异:2B-CWC-RVOD数据集的r(e)的偏倚大于其他检索产品,并且原位测量约40%。在卷云层在sigma中具有明显的水平梯度的情况下,CALIPSO sigma中的偏低(负)偏差可能是由于5 km平均。

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