Abstract <p>The results of remote sensing of cloud liquid water path (LWP) by the SEVIRI satellite instrument in the Baltic Sea region and northwestern Russia in 2011–2017 are analyzed. For a detailed study, characteristic geographic points in the water areas of large water bodies and on land were selected. Based on special criteria, the LWP measurement data were selected into several individual arrays, which made it possible to study both the so-called “intrinsic” properties of clouds and the properties of the cloudy/cloudless atmosphere as a whole. The main conclusions of the work are obtained for nonprecipitating clouds with LWP not exceeding the threshold value of 0.4 kg m<sup>–2</sup>. Precipitating clouds are classified as having LWP of more than 0.4 kg m<sup>–2</sup> and are considered individually. The statistical distributions of cloud liquid water path, as well as its interannual and seasonal variability, are analyzed. The analysis of the seasonal variation is limited to the period from February to October due to the lack of SEVIRI measurements in autumn/winter when the solar zenith angles are large. For all the considered data arrays, the obtained main statistical characteristics are presented in tabular form, which can be used for solving problems of cloud modeling, weather forecasting, and climate change, as well as for composing statistical models of the cloudy atmosphere applied for training of regression and neural network algorithms for determining the cloud LWP from remote measurements.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Estimation of Statistical Characteristics of Cloud Liquid Water Path over the Land Area and Water Bodies in the Baltic Sea Region and Northwest Russia Based on the SEVIRI Satellite Instrument Data

  • V. S. Kostsov,
  • D. V. Ionov,
  • A. B. Andryukova

摘要

Abstract

The results of remote sensing of cloud liquid water path (LWP) by the SEVIRI satellite instrument in the Baltic Sea region and northwestern Russia in 2011–2017 are analyzed. For a detailed study, characteristic geographic points in the water areas of large water bodies and on land were selected. Based on special criteria, the LWP measurement data were selected into several individual arrays, which made it possible to study both the so-called “intrinsic” properties of clouds and the properties of the cloudy/cloudless atmosphere as a whole. The main conclusions of the work are obtained for nonprecipitating clouds with LWP not exceeding the threshold value of 0.4 kg m–2. Precipitating clouds are classified as having LWP of more than 0.4 kg m–2 and are considered individually. The statistical distributions of cloud liquid water path, as well as its interannual and seasonal variability, are analyzed. The analysis of the seasonal variation is limited to the period from February to October due to the lack of SEVIRI measurements in autumn/winter when the solar zenith angles are large. For all the considered data arrays, the obtained main statistical characteristics are presented in tabular form, which can be used for solving problems of cloud modeling, weather forecasting, and climate change, as well as for composing statistical models of the cloudy atmosphere applied for training of regression and neural network algorithms for determining the cloud LWP from remote measurements.