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An R package to visualize and communicate uncertainty in seasonal climate prediction

Abstract: Interest in seasonal forecasting is growing fast in many environmental and socio-economic sectors due to the huge potential of these predictions to assist in decision making processes. The practical application of seasonal forecasts, however, is still hampered to some extent by the lack of tools for an effective communication of uncertainty to non-expert end users. visualizeR is aimed to fill this gap, implementing a set of advanced visualization tools for the communication of probabilistic forecasts together with different aspects of forecast quality, by means of perceptual multivariate graphical displays (geographical maps, time series and other graphs). These are illustrated in this work using the example of the strong El Niño 2015/16 event forecast. The package is part of the climate4R bundle providing transparent access to the ECOMS-UDG climate data service. This allows a flexible application of visualizeR to a wide variety of specific seasonal forecasting problems and datasets.

 Autoría: Frías M., Iturbide M., Manzanas R., Bedia J., Fernández J., Herrera S., Cofiño A., Gutiérrez J.,

 Fuente: Environmental Modelling and Software Volume 99, January 2018, Pages 101-110

Editorial: Elsevier Ltd

 Fecha de publicación: 01/01/2018

Nº de páginas: 10

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.envsoft.2017.09.008

ISSN: 1364-8152,1873-6726

Proyecto europeo: info:eu-repo/grantAgreement/EC/FP7/308291/EU/EUropean Provision Of Regional Impact Assessment on a Seasonal-to-decadal timescale/EUPORIAS/

Url de la publicación: https://doi.org/10.1016/j.envsoft.2017.09.008