@article{10902/15085,
year = {2018},
month = {1},
url = {http://hdl.handle.net/10902/15085},
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.},
organization = {This work has been funded by the European Union 7th Framework Program [FP7/20072013] under Grant Agreement 308291 (EUPORIAS Project). We are grateful to the EUPORIAS team on Communicating levels of con dence (Work Package 33).},
publisher = {Elsevier Ltd},
publisher = {Environmental Modelling and Software Volume 99, January 2018, Pages 101-110},
title = {An R package to visualize and communicate uncertainty in seasonal climate prediction},
author = {Frías Domínguez, María Dolores and Iturbide Martínez de Albéniz, Maialen and García Manzanas, Rodrigo and Bedia Jiménez, Joaquín and Fernández Fernández, Jesús (matemático) and Herrera García, Sixto and Cofiño González, Antonio Santiago and Gutiérrez Llorente, José Manuel},
}