Search Results - "Cofiño, A.S."

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  1. 1

    The R-based climate4R open framework for reproducible climate data access and post-processing by Iturbide, M., Bedia, J., Herrera, S., Baño-Medina, J., Fernández, J., Frías, M.D., Manzanas, R., San-Martín, D., Cimadevilla, E., Cofiño, A.S., Gutiérrez, J.M.

    “…Climate-driven sectoral applications commonly require different types of climate data (e.g. observations, reanalysis, climate change projections) from…”
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    Journal Article
  2. 2

    Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications by Manzanas, R., Gutiérrez, J.M., Fernández, J., van Meijgaard, E., Calmanti, S., Magariño, M.E., Cofiño, A.S., Herrera, S.

    Published in Climate services (01-01-2018)
    “…This work describes the results of a comprehensive intercomparison experiment of dynamical and statistical downscaling methods performed in the framework of…”
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    Journal Article
  3. 3

    The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services by Cofiño, A.S., Bedia, J., Iturbide, M., Vega, M., Herrera, S., Fernández, J., Frías, M.D., Manzanas, R., Gutiérrez, J.M.

    Published in Climate services (01-01-2018)
    “…Sectorial applications of seasonal forecasting require data for a reduced number of variables from different datasets, mainly (gridded) observations,…”
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    Journal Article
  4. 4

    Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model by Fernández-Quiruelas, V., Fernández, J., Cofiño, A.S., Fita, L., Gutiérrez, J.M.

    “…Grid computing is nowadays an established technology in fields such as High Energy Physics and Biomedicine, offering an alternative to traditional HPC for…”
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  5. 5

    An R package to visualize and communicate uncertainty in seasonal climate prediction by Frías, M.D., Iturbide, M., Manzanas, R., Bedia, J., Fernández, J., Herrera, S., Cofiño, A.S., Gutiérrez, J.M.

    “…Interest in seasonal forecasting is growing fast in many environmental and socio-economic sectors due to the huge potential of these predictions to assist in…”
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  6. 6

    Large-scale climate simulations harnessing clusters, grid and cloud infrastructures by Fernández-Quiruelas, V., Blanco, C., Cofiño, A.S., Fernández, J.

    Published in Future generation computer systems (01-10-2015)
    “…The current availability of a variety of computing infrastructures including HPC, Grid and Cloud resources provides great computer power for many fields of…”
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    Journal Article
  7. 7

    Evolving modular networks with genetic algorithms: application to nonlinear time series by Cofiño, A.S., Gutiérrez, J.M., Ivanissevich, M.L.

    Published in Expert systems (01-09-2004)
    “…: A key problem of modular neural networks is finding the optimal aggregation of the different subtasks (or modules) of the problem at hand. Functional…”
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  8. 8

    A comparison of different evolutive niching strategies for identifying a set of selfsimilar contractions for the IFS inverse problem by Gutiérrez Llorente, José Manuel, Ivanissevich, María Laura, Cofiño, Antonio S

    “…The key problem in fractal image compression is that of obtaining the IFS code (a set of linear transformations)which approximates a given image with a certain…”
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    Journal Article