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    A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping

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    A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States

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    A BSC team wins second prize in a challenge to improve temperature and precipitation forecasts using AI

    WMO launched this initiative with the aim of improving sub-seasonal temperature and precipitation forecasts with machine learning and artificial intelligence.

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    A climatic suitability indicator to support Leishmania infantum surveillance in Europe: A modelling study

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    A coupled macroscopic traffic and pollutant emission modelling system for Barcelona

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    A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds

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    El calor pone en peligro el futuro de los Juegos Olímpicos

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    Adaptation AGORA

    Digital tools and co-developed frameworks for citizen engagement in climate change adaptation solutions

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    Administrations stress data’s key role in tackling climate crisis

    BSC, AEMET & C3S host event on climate info needs in Spain.

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    Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector

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