Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: All-Russian Conference "Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes", SDM 2019

Год издания: 2020

Ключевые слова: Format conversion, Frontal zones, Global data, Gradientfields, Mean seasonal variability, Regional features, Spatial averaging

Аннотация: The structural components of information technology and software tools for calculating gradient characteristics of the global ocean surface based on satellite data are considered. The examples of calculation of the global ocean surface gradient fieldsusing information technology and software tools based on satellite data are submitted. A spatial-temporal averaging of gradients in accordance with scales of hydrophysical processes is discussed. The problems of spatial-temporal scaling and averaging of computed regions of the global ocean are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2534

Номера страниц: 434-439

ISSN журнала: 16130073

Издатель: CEUR-WS

• Ogorodov N.A. (Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)
• Kartushinsky A.V. (Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation, Siberian Federal University, Krasnoyarsk, Russian Federation)

• Scopus