An R package to visualize and communicate uncertainty in seasonal climate prediction. - María Dolores Frías; Maialen Iturbide; Rodrigo Manzanas; Joaquín Bedia; Jesús Fernández 001; Sixto Herrera; Antonio S. Cofiño; José Manuel Gutiérrez (Environ. Model. Softw., 2018)

Tackling Uncertainties of Species Distribution Model Projections with Package mopa. - Maialen Iturbide; Joaquín Bedia; José Manuel Gutiérrez (R J., 2018)

The METACLIP semantic provenance framework for climate products. - Joaquín Bedia; Daniel San Martín Segura; Maialen Iturbide; Sixto Herrera; Rodrigo Manzanas; José Manuel Gutiérrez (Environ. Model. Softw., 2019)

The R-based climate4R open framework for reproducible climate data access and post-processing. - Maialen Iturbide; Joaquín Bedia; Sixto Herrera; Jorge Luis Baño-Medina; Jesús Fernández 001; María Dolores Frías; Rodrigo Manzanas; Daniel San Martín Segura; Ezequiel Cimadevilla Álvarez; Antonio S. Cofiño; José Manuel Gutiérrez Llorente (Environ. Model. Softw., 2019)

Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications. - Jorge Luis Baño-Medina; Maialen Iturbide; Jesús Fernández 001; José Manuel Gutiérrez (CoRR, 2023)