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Application of the Regression Algorithm to the Problem of Studying Horizontal Inhomogeneity of the Cloud Liquid Water Path by Ground-Based Microwave Measurements in the Angular Scanning Mode
Atmospheric and Oceanic Optics ( IF 0.9 ) Pub Date : 2021-01-27 , DOI: 10.1134/s102485602006007x
E. Yu. Biryukov , V. S. Kostsov

Abstract

The results of the cloud liquid water path (LWP) “land–sea” gradient retrieval from ground-based measurements of the downwelling microwave radiation near the Gulf of Finland coastline in the suburbs of Saint-Petersburg are presented. The measurements were carried out at the Department of Physics, St. Petersburg State University, by an RPG-HATPRO radiometer operating in the angular scanning mode. The inverse problem is solved by linear regression with the use of different statistical models of cloudiness for training the algorithm. Seven-year average values of the gradient of LWP for summer and winter have been obtained. The results demonstrate the presence of a positive “land–sea” gradient of LWP (larger values over the land and smaller values over the sea) in both periods, which qualitatively agrees with available satellite data.



中文翻译:

回归算法在角扫描模式下地面微波测量云液态水路径水平不均匀性问题中的应用

摘要

给出了从圣彼得堡郊区郊区的芬兰湾海岸线附近的下行微波辐射的地面测量结果中得出的云状液态水路径(LWP)“陆-海”梯度的结果。测量是在圣彼得堡国立大学物理系通过RPG-HATPRO辐射计以角扫描模式进行的。通过使用不同的浊度统计模型来训练算法,通过线性回归解决了反问题。已获得夏季和冬季的LWP梯度的7年平均值。结果表明,在两个时期内,LWP(陆地上的较大值和海洋上的较小值)都存在正的“陆-海”梯度,这在质量上与可用的卫星数据一致。

更新日期:2021-01-28
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