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....
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ftinfoscience:oai:infoscience.epfl.ch:300887 2023-05-15T14:08:48+02:00 Preprocessing Antarctic Weather Station (AWS) data in python Gerber, Franziska Lehning, Michael 2023-03-10T12:54:49Z http://infoscience.epfl.ch/record/300887 https://doi.org/10.16904/envidat.340 eng eng EPFL Infoscience http://infoscience.epfl.ch/record/300887 doi:10.16904/envidat.340 http://infoscience.epfl.ch/record/300887 Text 2023 ftinfoscience https://doi.org/10.16904/envidat.340 2023-03-20T00:40:27Z 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 ... Text Antarc* Antarctic Antarctic Climate and Ecosystems Cooperative Research Centre Antarctica Australian Antarctic Division British Antarctic Survey EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Antarctic Dumont d’Urville ENVELOPE(140.000,140.000,-66.667,-66.667) The Antarctic |
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EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) |
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English |
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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 ... |
format |
Text |
author |
Gerber, Franziska Lehning, Michael |
spellingShingle |
Gerber, Franziska Lehning, Michael Preprocessing Antarctic Weather Station (AWS) data in python |
author_facet |
Gerber, Franziska Lehning, Michael |
author_sort |
Gerber, Franziska |
title |
Preprocessing Antarctic Weather Station (AWS) data in python |
title_short |
Preprocessing Antarctic Weather Station (AWS) data in python |
title_full |
Preprocessing Antarctic Weather Station (AWS) data in python |
title_fullStr |
Preprocessing Antarctic Weather Station (AWS) data in python |
title_full_unstemmed |
Preprocessing Antarctic Weather Station (AWS) data in python |
title_sort |
preprocessing antarctic weather station (aws) data in python |
publisher |
EPFL Infoscience |
publishDate |
2023 |
url |
http://infoscience.epfl.ch/record/300887 https://doi.org/10.16904/envidat.340 |
long_lat |
ENVELOPE(140.000,140.000,-66.667,-66.667) |
geographic |
Antarctic Dumont d’Urville The Antarctic |
geographic_facet |
Antarctic Dumont d’Urville The Antarctic |
genre |
Antarc* Antarctic Antarctic Climate and Ecosystems Cooperative Research Centre Antarctica Australian Antarctic Division British Antarctic Survey |
genre_facet |
Antarc* Antarctic Antarctic Climate and Ecosystems Cooperative Research Centre Antarctica Australian Antarctic Division British Antarctic Survey |
op_source |
http://infoscience.epfl.ch/record/300887 |
op_relation |
http://infoscience.epfl.ch/record/300887 doi:10.16904/envidat.340 |
op_doi |
https://doi.org/10.16904/envidat.340 |
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1766280836521394176 |