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The R-based climate4R open framework for reproducible climate data access and post-processing

Journal: Environmental Modelling and Software
Year: 2019   Volume: 111
Initial page: 42   Last page: 54
Status: Published
In this status since: 1 Jan 2019
PDF file: 2018_Iturbide_c4R_EMS.pdf
Link to PDF: https://linkinghub.elsevier.com/retrieve/pii/S1364815218303049
DOI: 10.1016/j.envsoft.2018.09.009

Climate-driven sectoral applications commonly require different types of climate data (e.g. observations, reanalysis, climate change projections) from different providers. Data access, harmonization and post-processing (e.g. bias correction) are time-consuming error-prone tasks requiring different specialized software tools at each stage of the data workflow, thus hindering reproducibility. Here we introduce climate4R, an R-based climate services oriented framework tailored to the needs of the vulnerability and impact assessment community that integrates in the same computing environment harmonized data access, post-processing, visualization and a provenance metadata model for traceability and reproducibility of results