Correlation-regression analysis of meteorological data from ultrasonic weather stations; Proceedings of SPIE; Vol. 11916 : Atmospheric and Ocean Optics: Atmospheric Physics

Dades bibliogràfiques
Parent link:Proceedings of SPIE.— .— Bellingham: SPIE
Vol. 11916 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2021.— 119165L, 5 p.
Altres autors: Botygin I. A. Igor Aleksandrovich, Volkov Yu. V., Proskurov V. A., Sherstnev V. S. Vladislav Stanislavovich, Sherstneva A. I. Anna Igorevna
Sumari:Title screen
The results of correlation and regression analysis of meteorological data from an ultrasonic weather station are presented. Automatic weather station AMK-03 was equipped with three units for measuring meteorological parameters installed on the radio mast at heights of 2, 8 and 28 meters. Discreteness of measurements was 1 min. Time series with temperature, wind speed, atmospheric pressure and relative humidity obtained for the period from 01.01.2017 to 31.12.2017 were processed in software experiments. The methodology of correlation-regression analysis meteorological data, additionally, was used for diagnostics of weather station operation. Inaccuracies in the measurement of some parameters surface layer of the atmosphere have been revealed. The conducted control measurements and processing allowed to improve the measuring system of automatic weather station AMK-03
Текстовый файл
AM_Agreement
Idioma:anglès
Publicat: 2021
Matèries:
Accés en línia:https://doi.org/10.1117/12.2602981
Статья на русском языке
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=679990

MARC

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330 |a The results of correlation and regression analysis of meteorological data from an ultrasonic weather station are presented. Automatic weather station AMK-03 was equipped with three units for measuring meteorological parameters installed on the radio mast at heights of 2, 8 and 28 meters. Discreteness of measurements was 1 min. Time series with temperature, wind speed, atmospheric pressure and relative humidity obtained for the period from 01.01.2017 to 31.12.2017 were processed in software experiments. The methodology of correlation-regression analysis meteorological data, additionally, was used for diagnostics of weather station operation. Inaccuracies in the measurement of some parameters surface layer of the atmosphere have been revealed. The conducted control measurements and processing allowed to improve the measuring system of automatic weather station AMK-03 
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