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Baño-Medina, Jorge
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1

On the use of convolutional neural networks for downscaling..:

Balmaceda-Huarte, Rocío ; Baño-Medina, Jorge ; Olmo, Matias Ezequiel.
Climate Dynamics.  , 2023
Link: https://doi.org/10.1007/..
 
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2

Implementation of FAIR principles in the IPCC: the WGI AR6 ..:

Iturbide, Maialen ; Fernández, Jesús ; Gutiérrez, José M....
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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3

Downscaling multi-model climate projection ensembles with d..:

Baño-Medina, Jorge ; Manzanas, Rodrigo ; Cimadevilla, Ezequiel...
Geoscientific Model Development.  15 (2022)  17 - p. 6747-6758 , 2022
Link: https://doi.org/10.5194/..
 
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4

The Worldwide C3S CORDEX Grand Ensemble: A Major Contributi..:

Diez-Sierra, Javier ; Iturbide, Maialen ; Gutiérrez, José M....
Bulletin of the American Meteorological Society.  103 (2022)  12 - p. E2804-E2826 , 2022
Link: https://doi.org/10.1175/..
 
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5

On the suitability of deep convolutional neural networks fo..:

Baño-Medina, Jorge ; Manzanas, Rodrigo ; Gutiérrez, José Manuel
Climate Dynamics.  57 (2021)  11-12 - p. 2941-2951 , 2021
Link: https://doi.org/10.1007/..
 
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6

Configuration and intercomparison of deep learning neural m..:

Baño-Medina, Jorge ; Manzanas, Rodrigo ; Gutiérrez, José Manuel
Geoscientific Model Development.  13 (2020)  4 - p. 2109-2124 , 2020
Link: https://doi.org/10.5194/..
 
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7

Statistical downscaling with the downscaleR package (v3.1.0..:

Bedia, Joaquín ; Baño-Medina, Jorge ; Legasa, Mikel N....
Geoscientific Model Development.  13 (2020)  3 - p. 1711-1735 , 2020
Link: https://doi.org/10.5194/..
 
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8

Understanding Deep Learning Decisions in Statistical Downsc..:

, In: Proceedings of the 10th International Conference on Climate Informatics,
Baño-Medina, Jorge - p. 79-85 , 2020
Link: https://dl.acm.org/doi/1..
 
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9

Deep Ensembles to Improve Uncertainty Quantification of Sta..:

González-Abad, Jose ; Baño-Medina, Jorge
http://arxiv.org/abs/2305.00975.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Transferability and explainability of deep learning emulato..:

Bano-Medina, Jorge ; Iturbide, Maialen ; Fernandez, Jesus.
http://arxiv.org/abs/2311.03378.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

Using Explainability to Inform Statistical Downscaling Base..:

González-Abad, Jose ; Baño-Medina, Jorge ; Gutiérrez, José Manuel
http://arxiv.org/abs/2302.01771.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

The Worldwide C3S CORDEX Grand Ensemble: A Major Contributi..:

Diez-Sierra, Javier ; Iturbide, Maialen ; Gutiérrez, José M...
info:eu-repo/semantics/altIdentifier/wos/000909959300011.  , 2023
Link: https://publikationen.bi..
 
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13

On the use of Deep Generative Models for Perfect Prognosis ..:

González-Abad, Jose ; Baño-Medina, Jorge ; Cachá, Ignacio Heredia
http://arxiv.org/abs/2305.00974.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Repository supporting the results presented in the manuscri..:

Baño-Medina, Jorge ; Manzanas, Rodrigo ; Cimadevilla, Ezequiel...
Baño-Medina, Jorge; Manzanas, Rodrigo; Cimadevilla, Ezequiel; Fernández, Jesús; González-Abad, Jose; Cofiño, A. S.; Gutiérrez, José M. Downscaling multi-model climate projection ensembles with deep learning (DeepESD): Contribution to CORDEX EUR-44. https://doi.org/10.5194/gmd-15-6747-2022. http://hdl.handle.net/10261/304484.  , 2022
Link: http://hdl.handle.net/10..
 
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15

The Worldwide C3S CORDEX Grand Ensemble: A Major Contributi..:

Diez-Sierra, Javier ; Iturbide, Maialen ; Gutiérrez, José...
info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-22-0111.1.  , 2022
Link: https://hal.science/hal-..
 
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