xclim: xarray-based climate data analytics-Reference-Cited by-同舟云学术

xclim: xarray-based climate data analytics

Published:2023-05-18 Issue:85 Volume:8 Page:5415
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Bourgault Pascal^ORCID,Huard David^ORCID,Smith Trevor James^ORCID,Logan Travis^ORCID,Aoun Abel^ORCID,Lavoie Juliette^ORCID,Dupuis Éric^ORCID,Rondeau-Genesse Gabriel^ORCID,Alegre Raquel^ORCID,Barnes Clair^ORCID,Laperrière Alexis Beaupré,Biner Sébastien^ORCID,Caron David,Ehbrecht Carsten,Fyke Jeremy^ORCID,Keel Tom^ORCID,Labonté Marie-Pier^ORCID,Lierhammer Ludwig^ORCID,Low Jwen-Fai^ORCID,Quinn Jamie,Roy Philippe^ORCID,Squire Dougie^ORCID,Stephens Ag^ORCID,Tanguy Maliko^ORCID,Whelan Christopher

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://joss.theoj.org/papers/10.21105/joss.05415.pdf

Reference9 articles.

1. A data model of the climate and forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1);Hassell;Geoscientific Model Development,2017

2. Xarray: N-D labeled Arrays and Datasets in Python;Hoyer;Journal of Open Research Software,2017

3. Access to analysis and climate indices tools for climate researchers and end users;Pagé,2022

4. Python library for climate indices calculation;Pagé;GitHub repository,2022

5. MetPy: A Python Package for Meteorological Data;May;GitHub repository,2022

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