SG-WEx: Unified Model output for June-July 2015 over South Georgia, with island orography included (run: u-ae766)

This dataset contains modelling output from the u-ae766 run of a high-resolution (1.5 km horizontal grid, 118 vertical levels up to around 75 km altitude, 30 s timestep) local-area configuration of the Met Office Unified Model run in a box over the island of South Georgia (54S, 36W), as part of the South Georgia Wave Experiment (SG-WEx) project. This run was for the time period June-July 2015 with the island orography included. See related dataset for output from a complementary run with a flat orography file for the island for the same time period. These were part of a group of 6 model runs for the SG-WEx project.

The aim of the modelling runs was to examine gravity wave generation and deep vertical propagation over this mountainous island. Three model time periods are archived within the SG-WEx dataset collection: January 2015, June 2015 and July 2015, each containing two runs, one including the island's orography and one without. Initial and boundary conditions are supplied by a global forecast to ensure that conditions over the island remain realistic. Meteorological fields such as wind, temperature, pressure etc were outputted and saved in hourly steps. These runs also coincided with radiosonde campaigns launched from the island.

Technical details regarding the configuration of these runs is described Vosper (2015, doi:10.1002/qj.2566). Further information and science results can be found in Jackson et al. (2018, doi:10.1175/BAMS-D-16-0151.1) and Hindley (2021, doi:10.5194/acp-21-7695-2021). See online resources linked to this record for further details.

Date (Publication): 2021-05-11T09:41:48

Date (Creation): 2021-05-11T09:41:48

Citation identifier: https://catalogue.ceda.ac.uk/uuid/6af300ef78e649e38719f1e1a53007f1

Citation identifier: NERC EDS Centre for Environmental Data Analysis / 6af300ef78e649e38719f1e1a53007f1

Citation identifier: doi / 10.5285/6af300ef78e649e38719f1e1a53007f1

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Unavailable	Hughes, John K	Unavailable	Author
Unavailable	Ross, Andrew N	Unavailable	Author
Unavailable	Vosper, Simon B.	Unavailable	Author
Unavailable	Hindley, Neil P.	Unavailable	Author
Unavailable	Mitchell, Nicholas J.	Unavailable	Author
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Custodian
University of Leeds		unknown	Owner
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor
Unavailable	Mitchell, Nicholas J.	Unavailable	Principal investigator
Unavailable	Moffat-Griffin, Tracy	Unavailable	Principal investigator
Unavailable	Ross, Andrew N	Unavailable	Principal investigator
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	pointofContact
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Publisher

Maintenance and update frequency: Not planned

Update scope: Dataset

Keywords

Unified Model
NWP
South Atlantic

GEMET - INSPIRE themes, version 1.0

atmospheric conditions

Access constraints: Other restrictions

Other constraints: Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.

Use constraints: Other restrictions

Other constraints: Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.

Spatial representation type: Grid

Language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 2015-06-12T13:00:00

End date: 2015-07-05T12:00:00

Unique resource identifier: WGS 84

Distribution format

Name	Version
Data are netCDF formatted.

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Centre for Environmental Data Analysis		support@ceda.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://catalogue.ceda.ac.uk/uuid/6af300ef78e649e38719f1e1a53007f1	CEDA Data Catalogue Page

OnLine resource

Protocol	Linkage	Name
	http://data.ceda.ac.uk/badc/sg-wex/data/um-data/sgwex_June2015_SG_u-ae766	DOWNLOAD

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.5194/acp-21-7695-2021	Hindley, N. P., Wright, C. J., Gadian, A. M., Hoffmann, L., Hughes, J. K., Jackson, D. R., King, J. C., Mitchell, N. J., Moffat-Griffin, T., Moss, A. C., Vosper, S. B., and Ross, A. N.: Stratospheric gravity waves over the mountainous island of South Georgia: testing a high-resolution dynamical model with 3-D satellite observations and radiosondes, Atmos. Chem. Phys., 21, 7695–7722, https://doi.org/10.5194/acp-21-7695-2021, 2021.

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.1002/qj.2566	Vosper, S.B. (2015), Mountain waves and wakes generated by South Georgia: implications for drag parametrization. Q.J.R. Meteorol. Soc., 141: 2813-2827. https://doi.org/10.1002/qj.2566

OnLine resource

Protocol	Linkage	Name
	https://doi.org/10.1175/BAMS-D-16-0151.1	Jackson, D. R., Gadian, A., Hindley, N. P., Hoffmann, L., Hughes, J., King, J., Moffat-Griffin, T., Moss, A. C., Ross, A. N., Vosper, S. B., Wright, C. J., and Mitchell, N. J. (2018). The South Georgia Wave Experiment: A Means for Improved Analysis of Gravity Waves and Low-Level Wind Impacts Generated from Mountainous Islands. Bulletin of the American Meteorological Society 99, 5, 1027-1040, available from: https://doi.org/10.1175/BAMS-D-16-0151.1

Hierarchy level: Dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: Data were produced from runs of the Met Office Unified Model on the Met Office system and provided to the Centre for Environmental Data Analysis (CEDA) for long-term archiving.