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Estimating Geo-Referenced Cloud-Base Height With Whole-Sky Imagers
Earth and Space Science ( IF 3.1 ) Pub Date : 2021-07-15 , DOI: 10.1029/2019ea000944
Baolei Lyu 1 , Yang Chen 1 , Yuqiu Guan 1 , Tianlei Gao 1 , Jun Liu 1
Affiliation  

Accurate and frequent cloud-base height calculation is beneficial to solar farming and agricultural activities and also indicative for future meteorology conditions. This study used paired whole-sky imagers to estimate cloud-base height with high quality. The study obtained quality assured cloud base feature points with a robust Shi-Tomasi-Scale Invariant Feature Transform algorithm before employing double-eye locating approach, which is fast and easy to implement operationally. The estimated cloud-base heights have high spatial coverages. Evaluated against ceilometer observations, estimated cloud-base heights have a high accuracy level, with R2 = 0.92 and RMSE = 424 m. The method is generally unbiased with NME = 9.2%. The high-quality cloud-base features in this study are quantitatively geo-referenced, which would benefit a lot to meteorological studies such as fusion with satellite observations, evaluation for model simulations and upper-level wind specifications.

中文翻译:

使用全天空成像仪估算地理参考云底高度

准确和频繁的云底高度计算有利于太阳能农业和农业活动,也为未来的气象条件提供指示。本研究使用成对的全天成像仪来高质量地估计云底高度。该研究在采用双眼定位方法之前,使用稳健的 Shi-Tomasi-Scale Invariant Feature Transform 算法获得了质量有保证的云基特征点,该方法快速且易于操作实施。估计的云底高度具有高空间覆盖率。根据云高仪观测进行评估,估计的云底高度具有很高的准确度,R 2 = 0.92 和 RMSE = 424 m。该方法通常是无偏的,NME = 9.2%。本研究中的高质量云底特征具有定量地理参考,这将有利于气象研究,如与卫星观测的融合、模型模拟评估和高层风规范。
更新日期:2021-08-12
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