Using of rank distributions in the study of perennial changes for monthly average temperatures; Proceedings of SPIE; Vol. 9680 : Atmospheric and Ocean Optics: Atmospheric Physics

Using of rank distributions in the study of perennial changes for monthly average temperatures; Proceedings of SPIE; Vol. 9680 : Atmospheric and Ocean Optics: Atmospheric Physics

Detalhes bibliográficos
Parent link:Proceedings of SPIE
Vol. 9680 : Atmospheric and Ocean Optics: Atmospheric Physics.— 2015.— [96805R, 4 p.]
Autor principal: Nemirovskiy V. B. Viktor Borisovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра информатики и проектирования систем (ИПС)
Outros Autores: Stoyanov A. K. Aleksandr Kirillovich, Tartakovsky V. A. Valery Abramovich
Resumo:Title screen
The possibility of comparing the climatic data of various years with using rank distributions is considered in this paper. As a climatic data, the annual variation of temperature on the spatial areas of meteorological observations with high variability in average temperatures is considered. The results of clustering of the monthly average temperatures values by means of a recurrent neural network were used as the basis of comparing. For a given space of weather observations the rank distribution of the clusters cardinality identified for each year of observation, is being constructed. The resulting rank distributions allow you to compare the spatial temperature distributions of various years. An experimental comparison for rank distributions of the annual variation of monthly average temperatures has confirmed the presence of scatter for various years, associated with different spatio-temporal distribution of temperature. An experimental comparison of rank distributions revealed a difference in the integral annual variation of monthly average temperatures of various years for the Northern Hemisphere.
Режим доступа: по договору с организацией-держателем ресурса
Idioma:inglês
Publicado em: 2015
Assuntos:
электронный ресурс
труды учёных ТПУ
климатические данные
климат
кластеры
распределение
Acesso em linha:http://dx.doi.org/10.1117/12.2205298
Formato: Recurso Eletrônico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645972

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