Visualizar por autor "Bedia Jiménez, Joaquín"

An R package to visualize and communicate uncertainty in seasonal climate prediction

Frías Domínguez, María Dolores

; Iturbide Martínez de Albéniz, Maialen

; García Manzanas, Rodrigo

; Bedia Jiménez, Joaquín

; Fernández Fernández, Jesús (matemático)

; Herrera García, Sixto

; Cofiño González, Antonio Santiago

; Gutiérrez Llorente, José Manuel (Elsevier Ltd, 2018-01)

Análisis de series temporales climáticas mediante técnicas de agrupamiento. Implementación y aplicaciones.

Fernández de la Granja, Juan Antonio

(2020-07)

Analysis of the observational uncertainty associated to the estimation of drought impact indices in Spain

Arce Calva, Elvira (2015-07)

Background sampling and transferability of species distribution model ensembles under climate change

Iturbide Martínez de Albéniz, Maialen

; Bedia Jiménez, Joaquín

; Gutiérrez Llorente, José Manuel (Elsevier, 2018-03)

Data-driven insights into ischaemic heart disease: exploring individual, environmental and social influences through machine learning

Cano Mazón, Juan Miguel (2024-07)

Desarrollo de técnicas de aprendizaje automático para la planificación radioterapéutica

Sordo Veci, David (2021-07-19)

Detección automática de la estación de fuegos a escala global: Aplicación para el desarrollo de un sistema predictivo de incendios

Valle Miñón, Marcos (2021-09-16)

Downscaling of climate scenarios for wildfire danger assessment: development and applications

Bedia Jiménez, Joaquín

(2015-12-02)

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models

Turco, Marco; Rosa Cánovas, Juan José; Bedia Jiménez, Joaquín

; Jerez, Sonia; Montávez, Juan Pedro; Llasat, Maria Carmen; Provenzale, Antonello (Nature Publishing Group, 2018-09)

Impacto del cambio climático en el territorio de la Mancomunidad de Municipios Sostenibles de Cantabria: resultados aplicables a la gestión del territorio

Alonso del Val, Francisco Javier; Bedia Jiménez, Joaquín

; Bruschi, Viola María

; Fernández López, José María

; Ferrer i Marco, Ferran; Francés Arriola, Enrique

; Gutiérrez Llorente, José Manuel; Herrera García, Sixto

(Asociación Española de Climatología, 2012)

Multisite Downscaling of Precipitation with Bayesian Networks

Legasa Ríos, Mikel Néstor

(2017-10-16)

On the need of bias adjustment for more plausible climate change projections of extreme heat

Iturbide Martínez de Albéniz, Maialen

; Casanueva Vicente, Ana

; Bedia Jiménez, Joaquín

; Herrera García, Sixto

; Milovac, Josipa; Gutiérrez Llorente, José Manuel (Wiley-Blackwell, 2022-02)

Projecting wildfire occurrence at regional scale from Land Use/Cover and climate change scenarios

Vilar, Lara; Tafur-García, Etel; Yebra, Marta; Herrera García, Sixto

; Bedia Jiménez, Joaquín

; Martínez-Vega, Javier; Martín, M.Pilar (Copernicus GmbH, 2019)

Regional projection of climate impact indices over the Mediterranean region

Casanueva Vicente, Ana

; Frías Domínguez, María Dolores

; Herrera García, Sixto

; Bedia Jiménez, Joaquín

; San Martín Segura, Daniel; Gutiérrez Llorente, José Manuel; Zaninovic, Ksenija (Copernicus GmbH, 2014)

Sensitivity of species climate envelope models to baseline climatology and effect on RCM-BASED future projections

Bedia Jiménez, Joaquín

; Gutiérrez Llorente, José Manuel; Herrera García, Sixto

(Asociación Española de Climatología, 2012)

Tackling Uncertainties of Species Distribution Model Projections with Package mopa

Iturbide Martínez de Albéniz, Maialen

; Gutiérrez Llorente, José Manuel; Bedia Jiménez, Joaquín

(R Foundation for Statistical Computing, 2018-07)

The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services

Cofiño González, Antonio Santiago

; Bedia Jiménez, Joaquín

; Iturbide Martínez de Albéniz, Maialen

; Vega Saldarriaga, Manuel

; Herrera García, Sixto

; Fernández Fernández, Jesús (matemático)

; Frías Domínguez, María Dolores

; García Manzanas, Rodrigo

; Gutiérrez Llorente, José Manuel (Elsevier B.V., 2018-01)

Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment

Widmann. Martin; Bedia Jiménez, Joaquín

; Gutiérrez Llorente, José Manuel; Bosshard, Thomas; Hertig, Elke; Maraun, Douglas; Casado, María J.; Ramos, Petra; Cardoso, Rita Margarida; Soares, Pedro M.M.; Ribalaygua, Jaime; Pagé, Christian; Fischer, Andreas M.; Herrera García, Sixto

; Huth, Radan (John Wiley and Sons Ltd, 2019-01-31)

Visualizar por autor "Bedia Jiménez, Joaquín"

An R package to visualize and communicate uncertainty in seasonal climate prediction

Análisis de series temporales climáticas mediante técnicas de agrupamiento. Implementación y aplicaciones.

Analysis of the observational uncertainty associated to the estimation of drought impact indices in Spain

Background sampling and transferability of species distribution model ensembles under climate change

Data-driven insights into ischaemic heart disease: exploring individual, environmental and social influences through machine learning

Desarrollo de técnicas de aprendizaje automático para la planificación radioterapéutica

Detección automática de la estación de fuegos a escala global: Aplicación para el desarrollo de un sistema predictivo de incendios

Downscaling of climate scenarios for wildfire danger assessment: development and applications

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models

Impacto del cambio climático en el territorio de la Mancomunidad de Municipios Sostenibles de Cantabria: resultados aplicables a la gestión del territorio

Multisite Downscaling of Precipitation with Bayesian Networks

On the need of bias adjustment for more plausible climate change projections of extreme heat

Projecting wildfire occurrence at regional scale from Land Use/Cover and climate change scenarios

Regional projection of climate impact indices over the Mediterranean region

Sensitivity of species climate envelope models to baseline climatology and effect on RCM-BASED future projections

Tackling Uncertainties of Species Distribution Model Projections with Package mopa

The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services

Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment

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Visualizar por autor "Bedia Jiménez, Joaquín"

An R package to visualize and communicate uncertainty in seasonal climate prediction ﻿

Análisis de series temporales climáticas mediante técnicas de agrupamiento. Implementación y aplicaciones. ﻿

Analysis of the observational uncertainty associated to the estimation of drought impact indices in Spain ﻿

Background sampling and transferability of species distribution model ensembles under climate change ﻿

Data-driven insights into ischaemic heart disease: exploring individual, environmental and social influences through machine learning ﻿

Desarrollo de técnicas de aprendizaje automático para la planificación radioterapéutica ﻿

Detección automática de la estación de fuegos a escala global: Aplicación para el desarrollo de un sistema predictivo de incendios ﻿

Downscaling of climate scenarios for wildfire danger assessment: development and applications ﻿

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models ﻿

Impacto del cambio climático en el territorio de la Mancomunidad de Municipios Sostenibles de Cantabria: resultados aplicables a la gestión del territorio ﻿

Multisite Downscaling of Precipitation with Bayesian Networks ﻿

On the need of bias adjustment for more plausible climate change projections of extreme heat ﻿

Projecting wildfire occurrence at regional scale from Land Use/Cover and climate change scenarios ﻿

Regional projection of climate impact indices over the Mediterranean region ﻿

Sensitivity of species climate envelope models to baseline climatology and effect on RCM-BASED future projections ﻿

Tackling Uncertainties of Species Distribution Model Projections with Package mopa ﻿

The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services ﻿

Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment ﻿

An R package to visualize and communicate uncertainty in seasonal climate prediction

Análisis de series temporales climáticas mediante técnicas de agrupamiento. Implementación y aplicaciones.

Analysis of the observational uncertainty associated to the estimation of drought impact indices in Spain

Background sampling and transferability of species distribution model ensembles under climate change

Data-driven insights into ischaemic heart disease: exploring individual, environmental and social influences through machine learning

Desarrollo de técnicas de aprendizaje automático para la planificación radioterapéutica

Detección automática de la estación de fuegos a escala global: Aplicación para el desarrollo de un sistema predictivo de incendios

Downscaling of climate scenarios for wildfire danger assessment: development and applications

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models

Impacto del cambio climático en el territorio de la Mancomunidad de Municipios Sostenibles de Cantabria: resultados aplicables a la gestión del territorio

Multisite Downscaling of Precipitation with Bayesian Networks

On the need of bias adjustment for more plausible climate change projections of extreme heat

Projecting wildfire occurrence at regional scale from Land Use/Cover and climate change scenarios

Regional projection of climate impact indices over the Mediterranean region

Sensitivity of species climate envelope models to baseline climatology and effect on RCM-BASED future projections

Tackling Uncertainties of Species Distribution Model Projections with Package mopa

The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services

Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment