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....
Main Authors: | , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
EnviDat
2022
|
Subjects: | |
Online Access: | https://dx.doi.org/10.16904/envidat.340 https://envidat.ch/#/metadata/preprocessing-antarctic-weather-station-aws-data-in-python |
id |
ftdatacite:10.16904/envidat.340 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.16904/envidat.340 2023-06-11T04:07:07+02:00 Preprocessing Antarctic Weather Station (AWS) data in python ... Gerber, Franziska Lehning, Michael 2022 .zip https://dx.doi.org/10.16904/envidat.340 https://envidat.ch/#/metadata/preprocessing-antarctic-weather-station-aws-data-in-python en eng EnviDat https://www.envidat.ch/dataset/6ef2863f-7c17-4359-916a-83e2efa49ea9/resource/719ba2cc-ad7f-4dda-8139-c3180f53c609/download/scripts_aws_preprocessing.zip Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 ANTARCTICA AWS CONSISTENT CRYOWRF PYTHON article Software SoftwareSourceCode software 2022 ftdatacite https://doi.org/10.16904/envidat.340 2023-05-02T10:28:31Z 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 ... Article in Journal/Newspaper Antarc* Antarctic Antarctic Climate and Ecosystems Cooperative Research Centre Antarctica Australian Antarctic Division British Antarctic Survey DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
ANTARCTICA AWS CONSISTENT CRYOWRF PYTHON |
spellingShingle |
ANTARCTICA AWS CONSISTENT CRYOWRF PYTHON Gerber, Franziska Lehning, Michael Preprocessing Antarctic Weather Station (AWS) data in python ... |
topic_facet |
ANTARCTICA AWS CONSISTENT CRYOWRF PYTHON |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
Gerber, Franziska Lehning, Michael |
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 |
EnviDat |
publishDate |
2022 |
url |
https://dx.doi.org/10.16904/envidat.340 https://envidat.ch/#/metadata/preprocessing-antarctic-weather-station-aws-data-in-python |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic 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_relation |
https://www.envidat.ch/dataset/6ef2863f-7c17-4359-916a-83e2efa49ea9/resource/719ba2cc-ad7f-4dda-8139-c3180f53c609/download/scripts_aws_preprocessing.zip |
op_rights |
Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 |
op_doi |
https://doi.org/10.16904/envidat.340 |
_version_ |
1768379778115567616 |