Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2018

Идентификатор DOI: 10.17516/1997-1397-2018-11-6-781-791

Ключевые слова: ionosphere, total electron content, GLONASS, GPS, interpolation, machine learning, Atmospheric temperature, Autocorrelation, Bismuth, Landforms, Time series, Trees (mathematics), Walls (structural partitions), Altai, Blue intensity, Dendroclimatic studies, Larix sibirica, Negative auto-correlation, Reconstruction of past climate, Struct

Аннотация: Standard models of ionospheric delays have errors of order 1-8 TECU (standard total electron content units). On the basis of the free interpolation framework we propose a new simple model of the slant TEC distributions approximating slant TEC distribution Dendroclimatic studies based on the use of various indicators of annual tree-ring structure (width, maximum density, cell wall thickness, lumen size etc.) have become widespread over the past decade. However, reconstructions of climatic characteristics re

Журнал: JOURNAL OF SIBERIAN FEDERAL UNIVERSITY-MATHEMATICS & PHYSICS

Выпуск журнала: Vol. 11, Is. 6

Номера страниц: 781-791

ISSN журнала: 19971397

Место издания: KRASNOYARSK

Издатель: SIBERIAN FEDERAL UNIV

• Tsarev Sergey P. (Siberian Fed Univ, Inst Space & Informat Technol, Svobodny 79, Krasnoyarsk 660041, Russia)
• Denisenko Valery V. (Inst Computat Modeling SB RAS, Academgorodok 50, Krasnoyarsk 660036, Russia; Siberian Fed Univ, Inst Math & Comp Sci, Svobodny 79, Krasnoyarsk 660041, Russia)
• Valikhanov Marat M. (Siberian Fed Univ, Inst Engn Phys & Radioelect, Svobodny 79, Krasnoyarsk 660041, Russia)

• Web of Science Core Collection
• Scopus
• Ядро РИНЦ (eLIBRARY.RU)
• Список ВАК