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Persistent Identifier
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doi:10.22008/FK2/3TSBF0 |
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Publication Date
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2023-01-16 |
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Title
| pypromice v1.11.3 |
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Author
| How, P. (GEUS) - ORCID: 0000-0002-8088-8497
Lund, M.C. (GEUS) - ORCID: 0009-0009-0446-8253
Nielsen, R.B. (GEUS) - ORCID: 0000-0003-2342-639X
Ahlstrøm, A.P. (GEUS) - ORCID: 0000-0001-8235-8070
Fausto, R.S. (GEUS) - ORCID: 0000-0003-1317-8185
Larsen, S.H. (GEUS) - ORCID: 0000-0002-3656-3521
Mankoff, K.D. (GEUS) - ORCID: 0000-0001-5453-2019
Vandecrux, B. (GEUS) - ORCID: 0000-0002-4169-8973
Wright, P.J. (GEUS) - ORCID: 0000-0003-2999-9076 |
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Point of Contact
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Use email button above to contact.
How, Penelope (GEUS)
Lund, Mads Christian (GEUS) |
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Description
| The pypromice toolbox is for retrieving, processing and handling PROMICE (Programme for Monitoring of the Greenland Ice Sheet) and GC-Net (Greenland Climate Network) automated weather station (AWS) data. The content here reflects pypromice releases for processing and handling the AWS data products. See the pypromice Github repo for more recent developments and full documentation. |
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Subject
| Earth and Environmental Sciences |
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Keyword
| automated weather station
Python
PROMICE
GC-Net
glaciology
meteorology
Greenland
ice sheet |
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Related Publication
| How, P., Wright, P., Mankoff, K.D., Vandecrux, B., Fausto, R.S. and Ahlstrøm, A.P (2023) pypromice: A Python package for processing automated weather station data. Journal of Open Source Software, 8(86), 5298, https://doi.org/10.21105/joss.05298 |
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Depositor
| How, Penelope |