TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY

This study estimated the spatial and temporal distribution of non-Gaussian climate anomalies in the Northern Hemisphere for 1979–2018, and determined characteristics and trends in time series, including synoptic-scale variability. Time series of meteorological parameters were used from the Era Inter...

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Main Authors: Loginov, Sergey, Moraru, Evgeniia, Kharyutkina, Elena
Format: Conference Object
Language:unknown
Published: Zenodo 2023
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Online Access:https://doi.org/10.5281/zenodo.10434417
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spelling ftzenodo:oai:zenodo.org:10434417 2024-09-09T19:27:18+00:00 TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY Loginov, Sergey Moraru, Evgeniia Kharyutkina, Elena 2023-12-26 https://doi.org/10.5281/zenodo.10434417 unknown Zenodo https://doi.org/10.5281/zenodo.10434416 https://doi.org/10.5281/zenodo.10434417 oai:zenodo.org:10434417 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/conferenceProceedings 2023 ftzenodo https://doi.org/10.5281/zenodo.1043441710.5281/zenodo.10434416 2024-07-25T22:43:42Z This study estimated the spatial and temporal distribution of non-Gaussian climate anomalies in the Northern Hemisphere for 1979–2018, and determined characteristics and trends in time series, including synoptic-scale variability. Time series of meteorological parameters were used from the Era Interim reanalysis with a spatial resolution of 1.125°×1.125° and a 6-hour time step at the levels of 1000 hPa and 500 hPa (TS). According to [7], from the TS series, synoptic scale variability with a duration of 2–7 days (SV) was determined. From the TS and SV series anomalies of meteorological parameters were derived: air temperature (t'), specific air humidity (q'), wind speed components (zonal - u', meridional - v' and vertical - ω') and geopotential ( Φ '). Areas with the maximum number of anomalies in climatic parameters are located, as a rule, predominantly over the continents: in winter - the northern part of the Far East and North America, as well as in the Siberian region; in summer - at low latitudes. The exception is the anomalies of vertical wind speed, which are located mainly over the oceans (mid-latitudes of the Pacific and Atlantic oceans, near the Kuroshio and Gulf Stream currents, subpolar gyres). The application of R/S analysis within the framework of our study made it possible to establish that the identified trends will be stable (persistent processes H>0.72) in the above regions and in the ocean areas of the Russian Arctic. At the same time, the number of regions with antipersistent processes (H<0.33) decreases. Synoptic-scale anomalies are more predictable in comparison with the anomalies in the initial time series. Conference Object Arctic Zenodo Arctic Pacific
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description This study estimated the spatial and temporal distribution of non-Gaussian climate anomalies in the Northern Hemisphere for 1979–2018, and determined characteristics and trends in time series, including synoptic-scale variability. Time series of meteorological parameters were used from the Era Interim reanalysis with a spatial resolution of 1.125°×1.125° and a 6-hour time step at the levels of 1000 hPa and 500 hPa (TS). According to [7], from the TS series, synoptic scale variability with a duration of 2–7 days (SV) was determined. From the TS and SV series anomalies of meteorological parameters were derived: air temperature (t'), specific air humidity (q'), wind speed components (zonal - u', meridional - v' and vertical - ω') and geopotential ( Φ '). Areas with the maximum number of anomalies in climatic parameters are located, as a rule, predominantly over the continents: in winter - the northern part of the Far East and North America, as well as in the Siberian region; in summer - at low latitudes. The exception is the anomalies of vertical wind speed, which are located mainly over the oceans (mid-latitudes of the Pacific and Atlantic oceans, near the Kuroshio and Gulf Stream currents, subpolar gyres). The application of R/S analysis within the framework of our study made it possible to establish that the identified trends will be stable (persistent processes H>0.72) in the above regions and in the ocean areas of the Russian Arctic. At the same time, the number of regions with antipersistent processes (H<0.33) decreases. Synoptic-scale anomalies are more predictable in comparison with the anomalies in the initial time series.
format Conference Object
author Loginov, Sergey
Moraru, Evgeniia
Kharyutkina, Elena
spellingShingle Loginov, Sergey
Moraru, Evgeniia
Kharyutkina, Elena
TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
author_facet Loginov, Sergey
Moraru, Evgeniia
Kharyutkina, Elena
author_sort Loginov, Sergey
title TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
title_short TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
title_full TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
title_fullStr TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
title_full_unstemmed TRENDS IN EXTREME ANOMALIES IN METEOROLOGICAL VALUES IN THE NORTHERN HEMISPHERE AT THE BEGINNING OF THE 21st CENTURY
title_sort trends in extreme anomalies in meteorological values in the northern hemisphere at the beginning of the 21st century
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.10434417
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
genre_facet Arctic
op_relation https://doi.org/10.5281/zenodo.10434416
https://doi.org/10.5281/zenodo.10434417
oai:zenodo.org:10434417
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1043441710.5281/zenodo.10434416
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