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

2018; Elsevier BV; Volume: 111; Linguagem: Inglês

10.1016/j.envsoft.2018.09.009

1873-6726

Maialen Iturbide, Joaquín Bedia, Sixto Herrera, Jorge Baño‐Medina, Jesús Fernández, M. D. Frías, Rodrigo Manzanas, Daniel San-Martín, Ezequiel Cimadevilla, A. S. Cofiño, Jose Manuel Gutiérrez,

Atmospheric and Environmental Gas Dynamics

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. climate4R allows accessing local and remote (OPeNDAP) data sources, such as the Santander User Data Gateway (UDG), a THREDDS-based service including a wide catalogue of popular datasets (e.g. ERA-Interim, CORDEX, etc.). This provides a unique comprehensive open framework for end-to-end sectoral reproducible applications. All the packages, data and documentation for reproducing the experiments in this paper are available from http://www.meteo.unican.es/climate4R.