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A new approach to retrieve cloud base height of marine boundary layer clouds

机译:一种检索海洋边界层云云底高的新方法

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摘要

A novel approach for estimating marine boundary layer cloud base height (CBH) is proposed based on calculated boundary layer lapse rates, collocated cloud top height (CTH), cloud top, and ocean surface temperatures from the A-Train satellite constellation. The method takes advantage of the assumption that decreases of temperature within and below water clouds may follow the different constant apparent lapse rates in the same region, respectively. The CBHs derived from the new method compare well with the coincident CBH product from the active sensors of Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and CloudSat. The correlation coefficient, the mean difference, and the standard deviation are 0.79 (0.54), 0.02 km (0.03 km), and ±0.35 km (±0.54 km), respectively, when CTH is derived from CALIPSO data (or Moderate Resolution Imaging Spectroradiometer retrieval). Besides the relatively small bias, the most important advantage of this method compared to previous CBH retrieval techniques is that it is independent of boundary layer cloud types, optical thickness, and illumination. Key Points A new method for estimating water cloud base height from satellite is proposed Results from new method consist with observations from active satellite sensors New possibilities for cloud base estimation at night from passive satellite.
机译:提出了一种新的估算海洋边界层云底高度(CBH)的新方法,该方法基于计算出的边界层消失率,并置的云顶高度(CTH),云顶和来自A-Train卫星星座的海面温度。该方法利用了这样的假设:在水云之内和之下的温度下降可能分别遵循相同区域中不同的恒定表观消失率。新方法衍生的CBH与Cloud-Aerosol激光雷达,红外探路卫星观测(CALIPSO)和CloudSat的有源传感器的CBH产品重合。当从CALIPSO数据(或中等分辨率成像光谱仪)获得CTH时,相关系数,平均差和标准偏差分别为0.79(0.54),0.02 km(0.03 km)和±0.35 km(±0.54 km)。恢复)。除了相对较小的偏差外,与以前的CBH检索技术相比,此方法的最重要优点是它与边界层云类型,光学厚度和照明无关。关键点提出了一种从卫星估算水云基高的新方法,该新方法的结果与有源卫星传感器的观测结果相结合。无源卫星夜间云基估算的新可能性。

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