Maialen Iturbide
Maialen Iturbide
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Zitiert von
Zitiert von
An intercomparison of a large ensemble of statistical downscaling methods over Europe: results from the VALUE perfect predictor cross‐validation experiment
JM Gutiérrez, D Maraun, M Widmann, R Huth, E Hertig, R Benestad, ...
International journal of climatology, 2018
A framework for species distribution modelling with improved pseudo-absence generation
M Iturbide, J Bedia, S Herrera, O del Hierro, M Pinto, JM Gutiérrez
Ecological modelling 312, 166-174, 2015
Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe
J Bedia, N Golding, A Casanueva, M Iturbide, C Buontempo, JM Gutiérrez
Climate Services 9, 101-110, 2018
The R-based climate4R open framework for reproducible climate data access and post-processing
M Iturbide, J Bedia, S Herrera, J Baño-Medina, J Fernández, MD Frías, ...
Environmental Modelling & Software 111, 42-54, 2019
The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
AS Cofiño, J Bedia, M Iturbide, M Vega, S Herrera, J Fernández, MD Frías, ...
Climate Services 9, 33-43, 2018
Assessing variations of extreme indices inducing weather-hazards on critical infrastructures over Europe—the INTACT framework
A Reder, M Iturbide, S Herrera, G Rianna, P Mercogliano, JM Gutiérrez
Climatic Change 148 (1-2), 123-138, 2018
An R package to visualize and communicate uncertainty in seasonal climate prediction
MD Frías, M Iturbide, R Manzanas, J Bedia, J Fernández, S Herrera, ...
Environmental Modelling & Software 99, 101-110, 2018
Background sampling and transferability of species distribution model ensembles under climate change
M Iturbide, J Bedia, JM Gutiérrez
Global and Planetary Change 166, 19-29, 2018
Tackling Uncertainties of Species Distribution Model Projections with Package mopa
M Iturbide, J Bedia, JM Gutiérrez
The R Journal, 2018
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