Pypromice: A Python Package for Processing Automated Weather Station Data

The pypromice Python package is for processing and handling observation datasets from automated weather stations (AWS). It is primarily aimed at users of AWS data from the Geological Survey of Denmark and Greenland (GEUS), which collects and distributes in situ weather station observations to the cr...

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Veröffentlicht in:Journal of open source software Jg. 8; H. 86; S. 5298
Hauptverfasser: How, Penelope R, Wright, Patrick J, Mankoff, Kenneth D, Vandecrux, Baptiste, Fausto, Robert S, Ahlstrøm, Andreas P
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Goddard Space Flight Center Open Journals 01.06.2023
Schlagworte:
Computer Programming and Software
Pypromice
Glaciology
Climate
Weather Station Data
Kalaallit-Nunaat
Data Processing
Gc-Net
Geus
Greenland
Python
ISSN:2475-9066, 2475-9066
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Beschreibung
Zusammenfassung:The pypromice Python package is for processing and handling observation datasets from automated weather stations (AWS). It is primarily aimed at users of AWS data from the Geological Survey of Denmark and Greenland (GEUS), which collects and distributes in situ weather station observations to the cryospheric science research community. Functionality in pypromice is primarily handled using two key open-source Python packages, xarray (Hoyer & Hamman, 2017) and pandas (The pandas development team, 2020). A defined processing workflow is included in pypromice for transforming original AWS observations (Level 0, L0) to a usable, CF-convention-compliant dataset (Level 3, L3) (Figure 1). Intermediary processing levels (L1,L2) refer to key stages in the workflow, namely the conversion of variables to physical measurements and variable filtering (L1), cross-variable corrections and user-defined data flagging and fixing (L2), and derived variables (L3). Information regarding the station configuration is needed to perform the processing, such as instrument calibration coefficients and station type (one-boom tripod or two-boom mast station design, for example), which are held in a toml configuration file. Two example configuration files are provided with pypromice, which are also used in the package’s unit tests. More detailed documentation of the AWS design, instrumentation, and processing steps are described in Fausto et al. (2021).
Bibliographie:GSFC
Goddard Space Flight Center
ISSN:2475-9066
2475-9066
DOI:10.21105/joss.05298