Climatology of Synoptic Non-Gaussian Meteorological Anomalies in the Northern Hemisphere during 1979–2018

Author:

Loginov Sergey1ORCID,Moraru Evgeniia1,Kharyutkina Elena123ORCID,Sudakow Ivan4ORCID

Affiliation:

1. Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of Russian Academy of Sciences, Tomsk 634055, Russia

2. Department of Meteorology and Climatology, Faculty of Geology and Geography, National Research Tomsk State University, Tomsk 634050, Russia

3. The Center for Research and Invention, Rabochaya, 18, Veliky Novgorod 173008, Russia

4. School of Mathematics and Statistics, The Open University, Milton Keynes MK7 6AA, UK

Abstract

The analysis of spatial and temporal variability in the number of non-Gaussian extreme anomalies of climatic parameters was carried out for both the initial time series and synoptic variability in the troposphere of the Northern Hemisphere over the period 1979–2018, based on ERA-Interim reanalysis data. There are predominantly three types of empirical distribution densities at 850 hPa, each characterizing the processes of advective and convective heat transfer. At the beginning of the 21st century, compared to the end of the 20th century, there was an increase in the number of anomalies in vertical wind speed and specific humidity for the Northern Hemisphere. Additionally, there is an increase in the number of zonal wind speed anomalies in the low and middle latitudes. Regions with the maximum number of anomalies are primarily located over the continents, while for vertical wind speed anomalies, they are predominantly over the oceans. The application of R/S analysis and multifractal analysis has established that the identified tendencies (which are persistent processes) will continue in the identified regions. The time series of non-Gaussian anomalies (both initial and synoptic scales) exhibit a long-term memory of approximately four years, and synoptic extreme anomalies were found to be more predictable.

Funder

Russian Science Foundation

Ministry of Science and Higher Education of the Russian Federation

Publisher

MDPI AG

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