Full Record - GPS vertical time series of solid Earth deformation for the southern Antarctic Peninsula 2010-2020

GPS vertical time series of solid Earth deformation for the southern Antarctic Peninsula 2010-2020

GB/NERC/BAS/PDC/01660

Abstract:
This dataset contains vertical GPS time series observed from selected sites in the southern Antarctic Peninsula. The dataset contains raw time series and time series corrected for the effect of elastic deformation - induced from the RACMO surface mass balance (SMB) model with a 5.5 km horizontal resolution (van Wessem et al. 2018). Hence there are two time series files for each of ten sites, presented as CSV files. There is a README file which details the content of the files. Offsets and outliers of the time series are documented in a structured ASCII text file called tsview.renames.smb.

This work is supported by the UK Natural Environment Research Council (NERC) grant NE/R002029/1.

Citation:
Koulali, A., Whitehouse, P., Clarke, P., van den Broeke, M., Nield, G., King, M., Bentley, M., Wouters, B., & Wilson, T. (2022). GPS vertical time series of solid Earth deformation for the southern Antarctic Peninsula 2010-2020 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/7cfa48ba-5d5f-4d22-8d14-1a6fa37b5346

Access Data

GET DATA

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=7cfa48ba-5d5f-4d22-8d14-1a6fa37b5346

PROJECT HOME PAGE

https://gtr.ukri.org/projects?ref=NE/R002029/1

REFERENCE MATERIALS

SOFTWARE PACKAGES

http://geoweb.mit.edu/gg/

License

Access:	No restrictions apply.
Use:	Data supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.

Authors

Name	UK Polar Data Centre
Role(s)	Metadata Author
Organisation	British Antarctic Survey

Name	Achraf Koulali
Role(s)	Investigator, Technical Contact
Organisation	Newcastle University

Name	Pippa L Whitehouse
Role(s)	Investigator
Organisation	Durham University

Name	Prof Peter J Clarke
Role(s)	Investigator
Organisation	Newcastle University

Name	Michiel R van den Broeke
Role(s)	Investigator
Organisation	Utrecht University

Name	Grace A Nield
Role(s)	Investigator
Organisation	University of Tasmania

Name	Matt A King
Role(s)	Investigator
Organisation	University of Tasmania

Name	Michael J Bentley
Role(s)	Investigator
Organisation	Durham University

Name	Bert Wouters
Role(s)	Investigator
Organisation	Utrecht University

Name	Terry Wilson
Role(s)	Investigator
Organisation	Ohio State University

Basic Information

Creation Date:	2022-08-24
Dataset Progress:	Complete
Dataset Language:	English
ISO Topic Categories:	Elevation Geoscientific Information
Parameters:	Cryosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation Cryosphere > Glaciers/Ice Sheets > Glacier Mass Balance/Ice Sheet Mass Balance Cryosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography Cryosphere > Glaciers/Ice Sheets > Ice Sheets Hydrosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation Hydrosphere > Glaciers/Ice Sheets > Glacier Mass Balance/Ice Sheet Mass Balance Hydrosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness Hydrosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography Hydrosphere > Glaciers/Ice Sheets > Ice Sheets

Additional Information

Reference:	Koulali, A., Whitehouse, P. L., Clarke, P. J., van den Broeke, M. R., Nield, G. A., King, M. A., et al. (2022). GPS-observed elastic deformation due to surface mass balance variability in the Southern Antarctic Peninsula. Geophysical Research Letters, 49, e2021GL097109. https://doi.org/10.1029/2021GL097109 van Wessem, J. M., van de Berg, W. J., Noel, B. P. Y., van Meijgaard, E., Amory, C., Birnbaum, G., et al. (2018). Modelling the climate and surface mass balance of polar ice sheets using RACMO2-part 2: Antarctica (1979-2016). The Cryosphere, 12(4), 1479-1498. https://doi.org/10.5194/tc-12-1479-2018 Herring, T. A., Melbourne, T. I., Murray, M. H., Floyd, M. A., Szeliga, W. M., King, R. W., Phillips, D. A., Puskas, C. M., Santillan, M., and Wang, L. (2016), Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products, Rev. Geophys., 54, 759-808, https://doi.org/10.1002/2016RG000529 Herring, T. A., King, R. W., & McClusky, S. C. (2010). Introduction to gamit/globk. Massachusetts Institute of Technology, Cambridge, Massachusetts. http://geoweb.mit.edu/gg/
Quality:	The quality check of the raw GPS data can be found in the following archive: https://data.unavco.org/archive/gnss/rinex/qc/. In addition, the file named tsview.renames.smb in this dataset includes the position outliers removed from the vertical positions time series. The file is structured ASCII text, in the format used by the GAMIT/GLOBK software.
Lineage/Methodology:	The GPS data was processed using GAMIT/GLOBK software (Herring et al., 2016). The UK Antarctic network (UKANET) was combined with a globally distributed network that includes all available data from the International GNSS Service (IGS), US POLENET-ANET and UKANET networks.

Extent

Temporal Coverage:
Start Date	2010-01-01
End Date	2020-12-31

Spatial Coverage:
Latitude
Southernmost	-77
Northernmost	-69
Longitude
Westernmost	-80
Easternmost	-60
Altitude
Min Altitude	N/A
Max Altitude	N/A
Depth
Min Depth	N/A
Max Depth	N/A

Location:
Location	Antarctica
Detailed Location	Southern Antarctic Peninsula

Instrumentation

Sensor(s):	GPS RECEIVERS
Data Collection:	Details of the GPS stations instrumentation can be found in the following page in the IGS log format: https://data.unavco.org/archive/gnss/logs/. Identifiers of the GPS sites: https://doi.org/10.7283/T56Q1VN5.

Storage

Distribution:
Distribution Media	Online Internet (HTTP)
Distribution Size	1.1 MB
Distribution Format	ASCII
Fees	N/A

Data Storage:	The data includes 20 time series in CSV format. Each CSV file is named with the 4-character ID of the GPS site. The data includes a README file which details the content of the files. Offsets and outliers of the time series are documented in a separate file called tsview.renames.smb.