Multi-scale Analysis of Data of Nasa Satellite Probing of Near-surface Air Temperature
Year: 2015
Type: article
Abstract: The study of spatial and temporal oscillations of the near-surface air temperature by using wavelet analysis, where Morlet wavelet served as the parent function core, is given in paper the article. The initial data arrays were average temperatures at altitudes ranging from three to ten meters above the Earth. A comparison of the results of wavelet analysis in two climatically similar regions of the world, the western and eastern coasts of the Atlantic Ocean in the northern hemisphere, is presented. The period of observation of atmospheric parameters amounts to 24 years (from 1983 to 2007). The study revealed a variety of cycles in the near-surface air temperature fluctuations and specificity defined temporal and spatial localization. Revealed path difference and amplitude modulation can be used for correction of models and in weather forecast. The applied method of wavelet analysis is a powerful tool used in modern hydro-meteorological practice. It allows tying together long-term fluctuations of atmospheric parameters with climate change and the influence of solar activity. It allows you to track the presence or absence of high-frequency oscillations of meteorological characteristics in terms of interaction ocean-atmosphere system, increasing the number of observations will be able to provide analysis of larger inter-century variations.
Source: Вестник Башкирского университета
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W2271508581