Direct current global electric circuit and tropical modes of climate variability

The ionospheric potential (IP), being the sum of contributions from thunderstorms and electrified shower clouds all over the globe, is arguably the most fundamental characteristic of the direct current global electric circuit (GEC) intensity. The IP variation on different timescales reflects global...

Full description

Bibliographic Details
Main Authors: Slyunyaev, N., Ilin, N., Mareev, E., Sarafanov, F., Kozlov, A., Shatalina, M., Frank-Kamenetsky, A., Price, C.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019562
id ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5019562
record_format openpolar
spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5019562 2023-07-16T03:54:04+02:00 Direct current global electric circuit and tropical modes of climate variability Slyunyaev, N. Ilin, N. Mareev, E. Sarafanov, F. Kozlov, A. Shatalina, M. Frank-Kamenetsky, A. Price, C. 2023 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019562 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-3401 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019562 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-3401 2023-06-25T23:39:53Z The ionospheric potential (IP), being the sum of contributions from thunderstorms and electrified shower clouds all over the globe, is arguably the most fundamental characteristic of the direct current global electric circuit (GEC) intensity. The IP variation on different timescales reflects global changes in the distribution of electrified clouds, which, in turn, are closely associated with the dynamics of deep convection. This motivates the search for patterns in the GEC variation which would reflect various modes of climate variability (especially those affecting the tropics, where convection is strongest).Here we report our recent findings in this direction, focusing on two important modes of climate variability which affect tropical convection, namely the El Niño—Southern Oscillation (ENSO) and Madden–Julian Oscillation (MJO). Using the results of long-term IP simulations involving the Weather Research and Forecasting model (WRF) and the results of long-term surface potential gradient (PG) measurements at the Vostok station in Antarctica, we compare the data for El Niño and La Niña years and for the eight traditionally distinguished phases of the MJO. This reveals clear and statistically significant effects of both the ENSO and MJO on the main parameters of the GEC.Our findings agree with other observations published in the literature, but simulations also allowed us to identify the mechanisms behind the observed effects, clearly demonstrating how changes in global convection patterns eventually result in the patterns observed in the simulated IP and in the PG measured in Antarctica and other locations. Conference Object Antarc* Antarctica GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Vostok Station ENVELOPE(106.837,106.837,-78.464,-78.464)
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description The ionospheric potential (IP), being the sum of contributions from thunderstorms and electrified shower clouds all over the globe, is arguably the most fundamental characteristic of the direct current global electric circuit (GEC) intensity. The IP variation on different timescales reflects global changes in the distribution of electrified clouds, which, in turn, are closely associated with the dynamics of deep convection. This motivates the search for patterns in the GEC variation which would reflect various modes of climate variability (especially those affecting the tropics, where convection is strongest).Here we report our recent findings in this direction, focusing on two important modes of climate variability which affect tropical convection, namely the El Niño—Southern Oscillation (ENSO) and Madden–Julian Oscillation (MJO). Using the results of long-term IP simulations involving the Weather Research and Forecasting model (WRF) and the results of long-term surface potential gradient (PG) measurements at the Vostok station in Antarctica, we compare the data for El Niño and La Niña years and for the eight traditionally distinguished phases of the MJO. This reveals clear and statistically significant effects of both the ENSO and MJO on the main parameters of the GEC.Our findings agree with other observations published in the literature, but simulations also allowed us to identify the mechanisms behind the observed effects, clearly demonstrating how changes in global convection patterns eventually result in the patterns observed in the simulated IP and in the PG measured in Antarctica and other locations.
format Conference Object
author Slyunyaev, N.
Ilin, N.
Mareev, E.
Sarafanov, F.
Kozlov, A.
Shatalina, M.
Frank-Kamenetsky, A.
Price, C.
spellingShingle Slyunyaev, N.
Ilin, N.
Mareev, E.
Sarafanov, F.
Kozlov, A.
Shatalina, M.
Frank-Kamenetsky, A.
Price, C.
Direct current global electric circuit and tropical modes of climate variability
author_facet Slyunyaev, N.
Ilin, N.
Mareev, E.
Sarafanov, F.
Kozlov, A.
Shatalina, M.
Frank-Kamenetsky, A.
Price, C.
author_sort Slyunyaev, N.
title Direct current global electric circuit and tropical modes of climate variability
title_short Direct current global electric circuit and tropical modes of climate variability
title_full Direct current global electric circuit and tropical modes of climate variability
title_fullStr Direct current global electric circuit and tropical modes of climate variability
title_full_unstemmed Direct current global electric circuit and tropical modes of climate variability
title_sort direct current global electric circuit and tropical modes of climate variability
publishDate 2023
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019562
long_lat ENVELOPE(106.837,106.837,-78.464,-78.464)
geographic Vostok Station
geographic_facet Vostok Station
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-3401
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019562
op_doi https://doi.org/10.57757/IUGG23-3401
_version_ 1771551283177586688