Improving Satellite-Retrieved Cloud Base Height with Ground-Based Cloud Radar Measurements

IF 6.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Zhonghui Tan, Ju Wang, Jianping Guo, Chao Liu, Miao Zhang, Shuo Ma
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Abstract

Cloud base height (CBH) is a crucial parameter for cloud radiative effect estimates, climate change simulations, and aviation guidance. However, due to the limited information on cloud vertical structures included in passive satellite radiometer observations, few operational satellite CBH products are currently available. This study presents a new method for retrieving CBH from satellite radiometers. The method first uses the combined measurements of satellite radiometers and ground-based cloud radars to develop a lookup table (LUT) of effective cloud water content (ECWC), representing the vertically varying cloud water content. This LUT allows for the conversion of cloud water path to cloud geometric thickness (CGT), enabling the estimation of CBH as the difference between cloud top height and CGT. Detailed comparative analysis of CBH estimates from the state-of-the-art ECWC LUT are conducted against four ground-based millimeter-wave cloud radar (MMCR) measurements, and results show that the mean bias (correlation coefficient) is 0.18±1.79 km (0.73), which is lower (higher) than 0.23±2.11 km (0.67) as derived from the combined measurements of satellite radiometers and satellite radar-lidar (i.e., CloudSat and CALIPSO). Furthermore, the percentages of the CBH biases within 250 m increase by 5% to 10%, which varies by location. This indicates that the CBH estimates from our algorithm are more consistent with ground-based MMCR measurements. Therefore, this algorithm shows great potential for further improvement of the CBH retrievals as ground-based MMCR are being increasingly included in global surface meteorological observing networks, and the improved CBH retrievals will contribute to better cloud radiative effect estimates.

利用地面云雷达测量改进卫星获取的云基高度
云基高度(CBH)是云辐射效应估计、气候变化模拟和航空指导的关键参数。然而,由于被动卫星辐射计观测数据中包含的云垂直结构信息有限,目前可用的卫星云基高度产品很少。本研究提出了一种从卫星辐射计中检索 CBH 的新方法。该方法首先利用卫星辐射计和地面云雷达的综合测量结果,建立一个有效云含水量查找表(LUT),代表垂直变化的云含水量。通过该查找表,可将云水路径转换为云几何厚度 (CGT),从而以云顶高度与 CGT 之间的差值来估算 CBH。结果表明,平均偏差(相关系数)为 0.18±1.79 km (0.73),低于(高于)卫星辐射计和卫星雷达-激光雷达(即 CloudSat 和 CALIPSO)联合测量得出的 0.23±2.11 km (0.67)。此外,250 米以内的 CBH 偏差百分比增加了 5%至 10%,这因地点而异。这表明我们算法得出的 CBH 估计值与地面 MMCR 测量值更加一致。因此,随着地基 MMCR 越来越多地纳入全球地面气象观测网络,该算法显示出进一步改进 CBH 提取的巨大潜力,而改进的 CBH 提取将有助于更好地估算云辐射效应。
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来源期刊
Advances in Atmospheric Sciences
Advances in Atmospheric Sciences 地学-气象与大气科学
CiteScore
9.30
自引率
5.20%
发文量
154
审稿时长
6 months
期刊介绍: Advances in Atmospheric Sciences, launched in 1984, aims to rapidly publish original scientific papers on the dynamics, physics and chemistry of the atmosphere and ocean. It covers the latest achievements and developments in the atmospheric sciences, including marine meteorology and meteorology-associated geophysics, as well as the theoretical and practical aspects of these disciplines. Papers on weather systems, numerical weather prediction, climate dynamics and variability, satellite meteorology, remote sensing, air chemistry and the boundary layer, clouds and weather modification, can be found in the journal. Papers describing the application of new mathematics or new instruments are also collected here.
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