Simulation data from GAIA (Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy) for the September 2019 sudden stratospheric warming event

DOI

This dataset comprises numerical outputs from the whole atmospheric model GAIA (=Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy) and associated simulations (EXP1, EXP2, and EXP3) presented in the article "Excitation mechanism of ionospheric 6-day oscillation during the 2019 September sudden stratospheric warming event" (Miyoshi and Yamazaki, 2020).

Briefly, GAIA is a numerical model of the Earth’s whole atmosphere (e.g., Jin et al., 2011; Miyoshi et al., 2011, 2012). The model consists of mathematical equations that represent various physical and chemical processes in the troposphere, stratosphere, mesosphere, and thermosphere. The neutral atmosphere model (Miyoshi & Fujiwara, 2003) is coupled with an ionospheric model (Shinagawa, 2011) and electrodynamics model (Jin et al., 2008). The lower layers of the model below 40 km are constrained by meteorological reanalysis products by the Japan Meteorological Agency (Kobayashi, et al., 2015).

The model was run for the period 1 September-10 October 2019, when there was a sudden stratospheric warming in the Antarctic region (Yamazaki et al., 2020). The GAIA simulation outputs can be found in the directory 'gaia', while the numerical outputs from the controlled simulations EXP1, EXP2, and EXP3 can be found in the directories 'exp1', 'exp2', and 'exp3', respectively. The model data for the temperature, zonal wind, meridional wind, and geopotential heigh are stored separately for each day in the NetCDF format. 'gt', 'gu', 'gv', and 'gz' in file name indicate the temperature, zonal wind, meridional wind, and geopotential heigh, respectively. For instance, the file 'gv20190915gcm.nc' contains the meridional wind data for 15 September 2019. The model data for the eastward current intensity, eastward electric field, and total electron content can be found as text files, namely, 'East_current_gaia.data', 'East_efield_gaia.data', and 'tec_gaia.data'.

Identifier
DOI https://doi.org/10.5880/GFZ.2.3.2020.004
Related Identifier https://doi.org/10.1029/2008JA013301
Related Identifier https://doi.org/10.1029/2010JA015925
Related Identifier https://doi.org/10.2151/jmsj.2015-001
Related Identifier https://doi.org/10.1029/2010JA016315
Related Identifier https://doi.org/10.1029/2011JA017373
Related Identifier https://www.nict.go.jp/publication/shuppan/kihou-journal/journal-vol56no1_2_3_4/journal-vol56no1-4_020306.pdf
Related Identifier https://doi.org/10.1029/2019GL086577
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6879
Provenance
Creator Yamazaki, Yosuke ORCID logo; Yasunobu, Miyoshi ORCID logo
Publisher GFZ Data Services
Contributor Yamazaki, Yosuke; Yasunobu, Miyoshi
Publication Year 2020
Funding Reference Deutsche Forschungsgemeinschaft, YA 574 3 1
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Yamazaki, Yosuke (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Aeronomy; Atmospheric Sciences; Geosciences; Natural Sciences
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)
Temporal Coverage Begin 2019-09-01T00:00:00Z
Temporal Coverage End 2019-10-10T00:00:00Z