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Santander MetGroup Paper Notebooks

There is a growing concern among the scientific community about the lack of reproducibility of many research outcomes (see for instance the dedicated Nature Special Issue). In the specific case of Earth and Environment Science, a majority of papers were mostly (over two-thirds) not reproducible (Baker, 2016).

With this regard, the main objective of this repository is to maintain a number of notebooks reproducing the analyses and figures presented in several journal papers by the Santander Meteorology Group, with an special emphasis in those describing or exploiting the functionalities of the climate4R framework. The purpose of these notebooks is twofold:

To ease research reproducibility and scrutiny by the scientific community
To aid users in the application of the climate4R tools and related software though the provision of worked examples representing real research problems.

An overview of the notebooks so far included and the corresponding published articles is next provided:

notebook	Article Title	Journal	DOI
2018_visualizeR_EMS	An R package to visualize and communicate uncertainty in seasonal climate prediction	Environmental Modelling and Software	https://doi.org/10.1016/j.envsoft.2017.09.008
2018_ECOMS-UDG_ClimateServices	The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services	Climate Services	http://dx.doi.org/10.1016/j.cliser.2017.07.001
2018_fireDanger_ClimateServices	Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe	Climate Services	http://dx.doi.org/10.1016/j.cliser.2017.04.001
2018_climate4R_example	The R-based climate4R open framework for reproducible climate data access and post-processing	Environmental Modelling and Software	https://doi.org/10.1016/j.envsoft.2018.09.009
2018_drought4R_NCOMMS	Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models	Nature Communications	https://doi.org/10.1038/s41467-018-06358-z
2018_metaclip_EMS*	METACLIP: A semantic provenance framework for climate products	Environmental Modelling and Software	https://doi.org/10.1016/j.envsoft.2019.07.005
2019_Iberia01_ESSD*	Iberia01: A new gridded dataset of daily precipitation and temperatures over Iberia	Earth System Science Data Discuss.	https://doi.org/10.5194/essd-11-1947-2019
2019_BNWeatherGen_WRR	Multisite Weather Generators using Bayesian Networks: An illustrative case study for precipitation occurrence	Water Resources Research.	https://doi.org/10.1029/2019WR026416
2019_downscaleR_GMD*	Statistical downscaling with downscaleR: Contribution to the VALUE intercomparison experiment	Geoscientific Model Development	https://doi.org/10.5194/gmd-13-1711-2020
2020_Lamb_ClimDyn*	Improved atmospheric circulation over Europe by the new generation of CMIP6 Earth System Models	Climate Dynamics	submitted
2022_BAMS_CORDEX_grand*	The worldwide C3S CORDEX grand ensemble: A major contribution to assess regional climate change in the IPCC AR6 Atlas	BAMS	submitted

An overview of the notebooks used in courses and workshops:

notebook	Institution	Course/Workshop	Session
2019_climate4R_SU.8.1_A	University of Cantabria	SU.8.1 Adaptecca scenarios: Use of regional climate change scenarios for impact and adaptation studies	Tools for accessing and processing climate data: Case study with R

NOTE: The climate4R packages are being actively developed. Thus, the notebooks often indicate the installation of the package versions that were used at the moment of compiling them. Alternatively, there is usually a Session Information section at the end of each notebook with details on the package versions used to compile. As a result, example code may fail if run with different versions. If you experience problems while running some of the examples, please ensure that you are using the appropriate package versions. If the problem persists, just let us know by dropping a ticket in the Issues section of this repo. Thank you!