Dataset or other product:

Preprocessing Antarctic Weather Station (AWS) data in python

cris.legacyId

300887

cris.virtual.author-scopus

6603785154

cris.virtual.department

CRYOS

cris.virtual.orcid

0000-0002-8442-0875

cris.virtual.parent-organization

IIE

cris.virtual.parent-organization

ENAC

cris.virtual.parent-organization

EPFL

cris.virtual.sciperId

249432

cris.virtual.sciperId

167659

cris.virtual.unitId

12533

cris.virtual.unitManager

Lehning, Michael

cris.virtualsource.author-scopus

36f6dd21-f65a-426c-adf9-aa7b81059263

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a9741e6e-6775-4526-83bd-601bebf33716

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36f6dd21-f65a-426c-adf9-aa7b81059263

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a9741e6e-6775-4526-83bd-601bebf33716

cris.virtualsource.orcid

36f6dd21-f65a-426c-adf9-aa7b81059263

cris.virtualsource.orcid

a9741e6e-6775-4526-83bd-601bebf33716

cris.virtualsource.parent-organization

ed5b47ea-0033-428e-b2c9-b72177bd7833

cris.virtualsource.parent-organization

ed5b47ea-0033-428e-b2c9-b72177bd7833

cris.virtualsource.parent-organization

ed5b47ea-0033-428e-b2c9-b72177bd7833

cris.virtualsource.parent-organization

ed5b47ea-0033-428e-b2c9-b72177bd7833

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36f6dd21-f65a-426c-adf9-aa7b81059263

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a9741e6e-6775-4526-83bd-601bebf33716

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36f6dd21-f65a-426c-adf9-aa7b81059263

cris.virtualsource.sciperId

a9741e6e-6775-4526-83bd-601bebf33716

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ed5b47ea-0033-428e-b2c9-b72177bd7833

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ed5b47ea-0033-428e-b2c9-b72177bd7833

datacite.rights

metadata-only

dc.contributor.author

Gerber, Franziska

dc.contributor.author

Lehning, Michael

dc.date.accessioned

2023-03-10T13:54:49

dc.date.available

2023-03-10T13:54:49

dc.date.created

2023-03-10

dc.date.issued

2022

dc.date.modified

2025-01-23T22:20:58.308691Z

dc.description.abstract

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:* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)* PANGAEA: World Data Center (e.g. König-Langlo, 2012)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, EastAntarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020Gerber, 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 WegenerInstitute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.775173

dc.description.sponsorship

CRYOS

dc.identifier.doi

10.16904/envidat.340

dc.identifier.uri

https://infoscience.epfl.ch/handle/20.500.14299/195645

dc.language.iso

en

dc.publisher

Zenodo

dc.title

Preprocessing Antarctic Weather Station (AWS) data in python

dc.type

dataset

dspace.entity.type

Product

dspace.legacy.oai-identifier

oai:infoscience.epfl.ch:300887

epfl.curator.email

alessandra.bianchi@epfl.ch

epfl.lastmodified.email

hendrik.huwald@epfl.ch

epfl.legacy.itemtype

Datasets

epfl.legacy.submissionform

DATASET

epfl.oai.currentset

ENAC

epfl.oai.currentset

datasets

epfl.oai.currentset

ENAC_datasets

epfl.writtenAt

EPFL

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