Climatology of Cloud Base Height Retrieved from Long-Term Geostationary Satellite Observations

Remote. Sens. Pub Date : 2023-07-06 DOI:10.3390/rs15133424
Zhonghui Tan, Xianbin Zhao, Shensen Hu, Shuo Ma, Li Wang, Xin Wang, Weihua Ai
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Abstract

Cloud base height (CBH) is crucial for parameterizing the cloud vertical structure (CVS), but knowledge concerning the temporal and spatial distribution of CBH is still poor owing to the lack of large-scale and continuous CBH observations. Taking advantage of high temporal and spatial resolution observations from the Advanced Himawari Imager (AHI) on board the geostationary Himawari-8 satellite, this study investigated the climatology of CBH by applying a novel CBH retrieval algorithm to AHI observations. We first evaluated the accuracy of the AHI-derived CBH retrievals using the active measurements of CVS from the CloudSat and CALIPSO satellites, and the results indicated that our CBH retrievals for single-layer clouds perform well, with a mean bias of 0.3 ± 1.9 km. Therefore, the CBH climatology was compiled based on AHI-derived CBH retrievals for single-layer clouds for the time period between September 2015 and August 2018. Overall, the distribution of CBH is tightly associated with cloud phase, cloud type, and cloud top height and also exhibits significant geographical distribution and temporal variation. Clouds at low latitudes are generally higher than those at middle and high latitudes, with CBHs peaking in summer and lowest in winter. In addition, the surface type affects the distribution of CBH. The proportion of low clouds over the ocean is larger than that over the land, while high cloud occurs most frequently over the coastal area. Due to periodic changes in environmental conditions, cloud types also undergo significant diurnal changes, resulting in periodic changes in the vertical structure of clouds.
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从长期地球静止卫星观测反演的云底高度气候学
云底高度(CBH)是云垂直结构(CVS)参数化的重要参数,但由于缺乏大规模连续的云底高度观测,对云底高度时空分布的认识仍然很差。利用地球同步卫星Himawari-8搭载的高级Himawari成像仪(Advanced Himawari Imager, AHI)的高时空分辨率观测资料,采用一种新的Himawari成像仪反演算法,研究了Himawari的气候学特征。我们首先利用来自CloudSat和CALIPSO卫星的主动测量值评估了ahi衍生的CBH检索的准确性,结果表明我们对单层云的CBH检索表现良好,平均偏差为0.3±1.9 km。因此,基于ahi导出的2015年9月至2018年8月期间单层云的CBH检索,编制了CBH气候学。总体而言,CBH的分布与云相、云类型和云顶高度密切相关,且具有显著的地理分布和时间变化特征。低纬度云总体高于中高纬度云,CBHs在夏季达到峰值,冬季最低。此外,表面类型影响CBH的分布。海洋上空低云的比例大于陆地上空,而高云出现的频率最高的是沿海地区。由于环境条件的周期性变化,云的类型也会发生显著的日变化,从而导致云的垂直结构发生周期性变化。
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