Search Results - "Cofiño, A.S."
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The R-based climate4R open framework for reproducible climate data access and post-processing
Published in Environmental modelling & software : with environment data news (01-01-2019)“…Climate-driven sectoral applications commonly require different types of climate data (e.g. observations, reanalysis, climate change projections) from…”
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Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications
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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The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
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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Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model
Published in Environmental modelling & software : with environment data news (01-09-2011)“…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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An R package to visualize and communicate uncertainty in seasonal climate prediction
Published in Environmental modelling & software : with environment data news (01-01-2018)“…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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Large-scale climate simulations harnessing clusters, grid and cloud infrastructures
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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Evolving modular networks with genetic algorithms: application to nonlinear time series
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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A comparison of different evolutive niching strategies for identifying a set of selfsimilar contractions for the IFS inverse problem
Published in Journal of computer science and technology (La Plata) (01-10-2001)“…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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