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Maialen Iturbide

Maialen Iturbide Martínez de Albéniz

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affiliation: Universidad de Cantabria, Meteorology Group, Santander, Spain

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Journal Articles

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2019
[j4]
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  - journals/envsoft/IturbideBGBFFMS19
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  - https://dblp.org/rec/journals/envsoft/IturbideBGBFFMS19
Maialen Iturbide, Joaquín Bedia, Sixto Herrera, Jorge Luis Baño-Medina, Jesús Fernández, María Dolores Frías, Rodrigo Manzanas, Daniel San Martín Segura, Ezequiel Cimadevilla Álvarez, Antonio S. Cofiño, José Manuel Gutiérrez Llorente:
The R-based climate4R open framework for reproducible climate data access and post-processing. Environ. Model. Softw. 111: 42-54 (2019)
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Joaquín Bedia, Daniel San Martín Segura, Maialen Iturbide, Sixto Herrera, Rodrigo Manzanas, José Manuel Gutiérrez:
The METACLIP semantic provenance framework for climate products. Environ. Model. Softw. 119: 445-457 (2019)
2018
[j2]
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María Dolores Frías, Maialen Iturbide, Rodrigo Manzanas, Joaquín Bedia, Jesús Fernández, Sixto Herrera, Antonio S. Cofiño, José Manuel Gutiérrez:
An R package to visualize and communicate uncertainty in seasonal climate prediction. Environ. Model. Softw. 99: 101-110 (2018)
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Maialen Iturbide, Joaquín Bedia, José Manuel Gutiérrez:
Tackling Uncertainties of Species Distribution Model Projections with Package mopa. R J. 10(1): 122 (2018)

Informal and Other Publications

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2023
[i1]
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Jorge Luis Baño-Medina, Maialen Iturbide, Jesús Fernández, José Manuel Gutiérrez:
Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications. CoRR abs/2311.03378 (2023)

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