Preprocessing Antarctic Weather Station (AWS) data in python

There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.

The following data sources are taken into account:

Important notes

  • Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
  • Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
  • No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.

Acknowledgements

We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.

References

Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020

Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.

König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA. 775173

Funding Information:

This work was supported by:
  • EPFL / WSL-SLF

Citation:

Gerber, Franziska; Lehning, Michael (2022). Preprocessing Antarctic Weather Station (AWS) data in python. EnviDat. doi:10.16904/envidat.340.

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Metadata

Field Values
DOI 10.16904/envidat.340
Publication State Published
Authors
  • Email: franziska.gerberfoo(at)slf.ch ORCID: 0000-0002-1783-5093 Given Name: Franziska Family Name: Gerber Affiliation: WSL-SLF Additional Affiliation : CRYOS, EPFL DataCRediT: Software
  • Email: lehningfoo(at)slf.ch ORCID: 0000-0002-8442-0875 Given Name: Michael Family Name: Lehning Affiliation: SLF Additional Affiliation : EPFL Additional Affiliation : EPFL DataCRediT: Supervision
Contact Person Given Name: Franziska Family Name: Gerber Email: franziska.gerberfoo(at)slf.ch Affiliation: WSL-SLF
Subtitles
Publication Publisher: EnviDat Year: 2022
Dates
  • Type: Created Date: 2022-06-17
Version 1.0
Type software
General Type Software
Language English
Location Switzerland
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated August 12, 2022, 15:33 (UTC)
Created June 17, 2022, 08:53 (UTC)