xclim: xarray-based climate data analytics

Bourgault, P.,Huard, D.,Smith, T.J.,Logan, T.,Aoun, A.,Lavoie, J.,Dupuis, É.,Rondeau-Genesse, G.,Alegre, R.,Barnes, C.,Beaupré Laperrière, A.,Biner, S.,Caron, D.,Ehbrecht, C.,Fyke, J.,Keel, T.,Labonté, M.P.,Lierhammer, L.,Low, J.F.,Quinn, J.,Roy, P.,Squire, D.,Stephens, A.,Tanguy, M.,Whelan, C.

journal article

xclim: xarray-based climate data analytics

Abstract

xclim is a Python library that enables computation of climate indicators over large, hetero- geneous data sets. It is built using xarray objects and operations, can seamlessly benefit from the parallelization handling provided by dask, and relies on community conventions for data formatting and metadata attributes. xclim is meant as a tool to facilitate both climate science research and the delivery of operational climate services and products. In addition to climate indicator calculations, xclim also includes utilities for bias correction and statistical adjustment, ensemble analytics, model diagnostics, data quality assurance, and metadata standards compliance.

DOI Link to Publication

URL: https://publications.hereon.de/id/52343/
Authors:Bourgault, P.,Huard, D.,Smith, T.J.,Logan, T.,Aoun, A.,Lavoie, J.,Dupuis, É.,Rondeau-Genesse, G.,Alegre, R.,Barnes, C.,Beaupré Laperrière, A.,Biner, S.,Caron, D.,Ehbrecht, C.,Fyke, J.,Keel, T.,Labonté, M.P.,Lierhammer, L.,Low, J.F.,Quinn, J.,Roy, P.,Squire, D.,Stephens, A.,Tanguy, M.,Whelan, C.
Year:2023
In: The Journal of Open Source Software
Volume:8
Issue:85
Pages:5415
Type:journal article
ISSN: 2475-9066
Cite as: Bourgault, P.; Huard, D.; Smith, T.; Logan, T.; Aoun, A.; Lavoie, J.; Dupuis, É.; Rondeau-Genesse, G.; Alegre, R.; Barnes, C.; Beaupré Laperrière, A.; Biner, S.; Caron, D.; Ehbrecht, C.; Fyke, J.; Keel, T.; Labonté, M.; Lierhammer, L.; Low, J.; Quinn, J.; Roy, P.; Squire, D.; Stephens, A.; Tanguy, M.; Whelan, C.: xclim: xarray-based climate data analytics. The Journal of Open Source Software. 2023. vol. 8, no. 85, 5415. DOI: 10.21105/joss.05415