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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. / Косцов, Владимир Станиславович; Ионов, Дмитрий Викторович; Андрюкова, Арина Борисовна.

в: Izvestiya, Atmospheric and Oceanic Physics, Том 61, № 5, 13.10.2025, стр. 597-615.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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@article{2f186416884547689a1cc7344e0b7c73,
title = "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",
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.",
keywords = "SEVIRI instrument, cloud liquid water path, interannual and seasonal variability of cloud parameters, meteorological satellites, remote sensing, troposphere",
author = "Косцов, {Владимир Станиславович} and Ионов, {Дмитрий Викторович} and Андрюкова, {Арина Борисовна}",
year = "2025",
month = oct,
day = "13",
doi = "10.1134/s0001433825700860",
language = "English",
volume = "61",
pages = "597--615",
journal = "Izvestiya, Atmospheric and Oceanic Physics",
issn = "0001-4338",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "5",

}

RIS

TY - JOUR

T1 - 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

AU - Косцов, Владимир Станиславович

AU - Ионов, Дмитрий Викторович

AU - Андрюкова, Арина Борисовна

PY - 2025/10/13

Y1 - 2025/10/13

N2 - 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.

AB - 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.

KW - SEVIRI instrument

KW - cloud liquid water path

KW - interannual and seasonal variability of cloud parameters

KW - meteorological satellites

KW - remote sensing

KW - troposphere

UR - https://www.mendeley.com/catalogue/3364bba4-cfdf-305b-aeeb-2e98c9520b49/

U2 - 10.1134/s0001433825700860

DO - 10.1134/s0001433825700860

M3 - Article

VL - 61

SP - 597

EP - 615

JO - Izvestiya, Atmospheric and Oceanic Physics

JF - Izvestiya, Atmospheric and Oceanic Physics

SN - 0001-4338

IS - 5

ER -

ID: 142372879