SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009

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We have performed simulations using the Naval Research Laboratory's physics‐based model of the ionosphere, Sami3 is A Model of the Ionosphere (SAMI3), to illustrate how neutral wind dynamics is responsible for day‐to‐day variability of the ionosphere. We have used neutral winds specified from t...

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Detalles Bibliográficos
Autores: McDonald, S. E., Sassi, F., Mannucci, A. J.
Formato: artículo
Fecha de Publicación:2015
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/3686
Enlace del recurso:http://hdl.handle.net/20.500.12816/3686
https://doi.org/10.1002/2015SW001223
Nivel de acceso:acceso abierto
Materia:Ionospheric modeling
Lower atmospheric coupling
SSW
http://purl.org/pe-repo/ocde/ford#1.05.01
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dc.title.none.fl_str_mv SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
title SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
spellingShingle SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
McDonald, S. E.
Ionospheric modeling
Lower atmospheric coupling
SSW
http://purl.org/pe-repo/ocde/ford#1.05.01
title_short SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
title_full SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
title_fullStr SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
title_full_unstemmed SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
title_sort SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009
author McDonald, S. E.
author_facet McDonald, S. E.
Sassi, F.
Mannucci, A. J.
author_role author
author2 Sassi, F.
Mannucci, A. J.
author2_role author
author
dc.contributor.author.fl_str_mv McDonald, S. E.
Sassi, F.
Mannucci, A. J.
dc.subject.none.fl_str_mv Ionospheric modeling
Lower atmospheric coupling
SSW
topic Ionospheric modeling
Lower atmospheric coupling
SSW
http://purl.org/pe-repo/ocde/ford#1.05.01
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.01
description We have performed simulations using the Naval Research Laboratory's physics‐based model of the ionosphere, Sami3 is A Model of the Ionosphere (SAMI3), to illustrate how neutral wind dynamics is responsible for day‐to‐day variability of the ionosphere. We have used neutral winds specified from the extended version of the specified dynamics Whole Atmosphere Community Climate Model (SD‐WACCM‐X), in which meteorology below 92 km is constrained by atmospheric specifications from an operational weather forecast model and reanalysis. To assess the realism of the simulations against observations, we have carried out a case study during January–February 2009, a dynamically disturbed time characterized by a sudden stratospheric warming (SSW) commencing 24 January 2009. Model results are compared with total electron content (TEC) from Jet Propulsion Laboratory global ionospheric maps. We show that SAMI3/SD‐WACCM‐X captures longitudinal variability in the equatorial ionization anomaly associated with nonmigrating tides, with strongest contributions coming from the diurnal eastward wave number 2 (DE2) and DE3. Both migrating and nonmigrating tides contribute to significant day‐to‐day variability, with TEC varying up to 16%. Our simulation during the SSW period reveals that at the Jicamarca longitude (285°E) on 27 January 2009 nonmigrating tides contribute to an enhancement of the electron density in the morning followed by a decrease in the afternoon. An enhancement of the semidiurnal eastward wave number 2 (SE2) and SE3 nonmigrating tides, likely associated with the appearance of the SSW, suggests that these tides increase the longitudinal variability of the SSW impact on the ionosphere. The conclusion is that realistic meteorology propagating upward from the lower atmosphere influences the dynamo region and reproduces aspects of the observed variability in the ionosphere.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2018-11-16T16:11:27Z
dc.date.available.none.fl_str_mv 2018-11-16T16:11:27Z
dc.date.issued.fl_str_mv 2015-08-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv McDonald, S. E., Sassi, F., & Mannucci, A. J. (2015). SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009.==$Space Weather, 13$==(9), 568-584. https://doi.org/10.1002/2015SW001223
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/3686
dc.identifier.journal.none.fl_str_mv Space Weather
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1002/2015SW001223
identifier_str_mv McDonald, S. E., Sassi, F., & Mannucci, A. J. (2015). SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009.==$Space Weather, 13$==(9), 568-584. https://doi.org/10.1002/2015SW001223
Space Weather
url http://hdl.handle.net/20.500.12816/3686
https://doi.org/10.1002/2015SW001223
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1542-7390
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:IGP-Institucional
instname:Instituto Geofísico del Perú
instacron:IGP
instname_str Instituto Geofísico del Perú
instacron_str IGP
institution IGP
reponame_str IGP-Institucional
collection IGP-Institucional
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spelling McDonald, S. E.Sassi, F.Mannucci, A. J.2018-11-16T16:11:27Z2018-11-16T16:11:27Z2015-08-07McDonald, S. E., Sassi, F., & Mannucci, A. J. (2015). SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009.==$Space Weather, 13$==(9), 568-584. https://doi.org/10.1002/2015SW001223http://hdl.handle.net/20.500.12816/3686Space Weatherhttps://doi.org/10.1002/2015SW001223We have performed simulations using the Naval Research Laboratory's physics‐based model of the ionosphere, Sami3 is A Model of the Ionosphere (SAMI3), to illustrate how neutral wind dynamics is responsible for day‐to‐day variability of the ionosphere. We have used neutral winds specified from the extended version of the specified dynamics Whole Atmosphere Community Climate Model (SD‐WACCM‐X), in which meteorology below 92 km is constrained by atmospheric specifications from an operational weather forecast model and reanalysis. To assess the realism of the simulations against observations, we have carried out a case study during January–February 2009, a dynamically disturbed time characterized by a sudden stratospheric warming (SSW) commencing 24 January 2009. Model results are compared with total electron content (TEC) from Jet Propulsion Laboratory global ionospheric maps. We show that SAMI3/SD‐WACCM‐X captures longitudinal variability in the equatorial ionization anomaly associated with nonmigrating tides, with strongest contributions coming from the diurnal eastward wave number 2 (DE2) and DE3. Both migrating and nonmigrating tides contribute to significant day‐to‐day variability, with TEC varying up to 16%. Our simulation during the SSW period reveals that at the Jicamarca longitude (285°E) on 27 January 2009 nonmigrating tides contribute to an enhancement of the electron density in the morning followed by a decrease in the afternoon. An enhancement of the semidiurnal eastward wave number 2 (SE2) and SE3 nonmigrating tides, likely associated with the appearance of the SSW, suggests that these tides increase the longitudinal variability of the SSW impact on the ionosphere. The conclusion is that realistic meteorology propagating upward from the lower atmosphere influences the dynamo region and reproduces aspects of the observed variability in the ionosphere.Por paresapplication/pdfengAmerican Geophysical Unionurn:issn:1542-7390info:eu-repo/semantics/openAccessIonospheric modelingLower atmospheric couplingSSWhttp://purl.org/pe-repo/ocde/ford#1.05.01SAMI3/SD‐WACCM‐X simulations of ionospheric variability during northern winter 2009info:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALMcDonald_et_al-2015-Space_Weather.pdfMcDonald_et_al-2015-Space_Weather.pdfapplication/pdf2882560https://repositorio.igp.gob.pe/bitstreams/ee969354-3113-4cb6-9710-1f283f8adca8/download12dbc82d04f22d74288dff1e549acf13MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8391https://repositorio.igp.gob.pe/bitstreams/208b0b7d-c786-45d0-9ec0-f9d478fd64ae/downloadef941c35636116525aadeaab7bbf4ca3MD52THUMBNAILMcDonald_et_al-2015-Space_Weather.pdf.jpgMcDonald_et_al-2015-Space_Weather.pdf.jpgIM Thumbnailimage/jpeg106270https://repositorio.igp.gob.pe/bitstreams/4349e764-0028-45d8-8171-0be191072661/downloadfa0a7e0ef6b2686d224c182a9dabfcd0MD53TEXTMcDonald_et_al-2015-Space_Weather.pdf.txtMcDonald_et_al-2015-Space_Weather.pdf.txtExtracted texttext/plain71692https://repositorio.igp.gob.pe/bitstreams/1038ee0b-ed12-4831-a680-290d1a97d600/download32fa80d4a071da67dec9cc33ce0a1124MD5420.500.12816/3686oai:repositorio.igp.gob.pe:20.500.12816/36862025-08-15 10:46:17.727open.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.pePGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy1uZC80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowIiBzcmM9Imh0dHBzOi8vaS5jcmVhdGl2ZWNvbW1vbnMub3JnL2wvYnktbmMtbmQvNC4wLzg4eDMxLnBuZyIgLz48L2E+PGJyIC8+RXN0YSBvYnJhIGVzdMOhIGJham8gdW5hIDxhIHJlbD0ibGljZW5zZSIgaHJlZj0iaHR0cDovL2NyZWF0aXZlY29tbW9ucy5vcmcvbGljZW5zZXMvYnktbmMtbmQvNC4wLyI+TGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyBBdHJpYnVjacOzbi1Ob0NvbWVyY2lhbC1TaW5EZXJpdmFkYXMgNC4wIEludGVybmFjaW9uYWw8L2E+Lg==
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