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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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 |
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Open Polar |
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Zenodo |
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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 |
_version_ |
1809896750396211200 |