Satellite‐Based Detection of Daytime Supercooled Liquid‐Topped Mixed‐Phase Clouds Over the Southern Ocean Using the Advanced Himawari Imager
Satellite‐Based Detection of Daytime Supercooled Liquid‐Topped Mixed‐Phase Clouds Over the Southern Ocean Using the Advanced Himawari Imager
复制标题
使用先进的 Himawari 成像仪对南大洋上空白天过冷液顶混合相云进行卫星探测
DOI：
10.1029/2018jd029524
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Alexander
中科院分区：
文献类型：
--
作者：
Y. Noh;S. Miller;A. Heidinger;G. Mace;A. Protat;S. Alexander
南大洋上空混合相云参数化不准确仍然是全球模型在确定短波云辐射反馈方面存在分歧的最大根源之一。目前还没有支持模型改进的合适的全球观测结果。从无源辐射计进行的传统卫星云相位反演强烈偏向于云顶，而没有关于亚云相位的进一步信息。具有液顶混合相（LTMP）结构的混合相云通常被简单地归类为过冷液体。本文提出了一种针对 LTMP 云的白天多光谱检测算法，该算法基于短波红外波段（1.61 和 2.25 μm）中液体和冰之间的差异吸收。 LTMP 算法以前为极轨传感器开发，现已应用于 Himawari-8 高级 Himawari 成像仪（下一代地球静止卫星中的第一颗），以探测南大洋上空混合相云的亚云相。结果与来自 CloudSat 和 CALIPSO 的星载有源传感器数据进行了比较。针对选定的案例检查基于船的现场实验测量，以提供对算法性能的更直接的评估。结果表明，将 LTMP 算法应用于地球静止卫星有可能为全球混合相云提供先进的时间分辨观测，并改进子层云相信息，从而支持全球模型的增强和验证。
Inaccurate mixed‐phase cloud parameterizations over the Southern Ocean remain one of the largest sources of disagreement among global models in determining shortwave cloud radiative feedbacks. Suitable global observations supporting model improvements are currently unavailable. The conventional satellite cloud phase retrieval from passive radiometers is strongly biased toward cloud top without further information on the subcloud phase. Mixed‐phase clouds with the liquid‐top mixed‐phase (LTMP) structures are often classified simply as supercooled liquid. This paper presents a daytime multispectral detection algorithm for LTMP clouds, based on differential absorption between liquid and ice in shortwave infrared bands (1.61 and 2.25 μm). The LTMP algorithm, previously developed for polar‐orbiting sensors, is applied to Himawari‐8 Advanced Himawari Imager (the first of the next‐generation geostationary satellites) to probe subcloud phase for mixed‐phase clouds over the Southern Ocean. The results are compared with spaceborne active sensor data from CloudSat and CALIPSO. Ship‐based field experiment measurements are examined for selected cases to provide a more direct assessment of algorithm performance. The results show that applying the LTMP algorithm to geostationary satellites has potential to provide advanced time‐resolved observations for mixed‐phase clouds globally with improved sublayer cloud phase information that can support enhancement and validation of global models.
影响因子：
4.4
作者：
Delanoe, Julien;Hogan, Robin J.
通讯作者：
Hogan, Robin J.