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Baño-Medina, Jorge
128
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Online (128)
Mediatypes
E-Books (1)
Articles (Online) (42)
Bookchapter (Online) (8)
OpenAccess-fulltext (77)
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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/..
?
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/..
?
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/..
?
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/..
?
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/..
?
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/..
?
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/..
?
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..
?
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..
?
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..
?
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..
?
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..
?
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..
?
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..
?
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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