Now showing items 1-9 of 9

    • Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth 

      Bilbao, Roberto; Wild, Simon; Ortega Montilla, Pablo; Acosta Navarro, Juan Camilo; Arsouze, Thomas; Bretonnière, Pierre-Antoine; Caron, Louis-Philippe; Castrillo, Miguel; Cruz García, Rubén; Cvijanovic, Ivana; Doblas-Reyes, Francisco; Donat, Markus; Dutra, Emanuel; Echevarria, Pablo; Ho, An-Chi; Loosveldt-Tomas, Saskia; Moreno Chamarro, Eduardo; Pérez-Zanón, Núria; Ramos, Arthur; Ruprich-Robert, Yohan; Sicardi, Valentina; Tourigny, Etienne; Vegas-Regidor, Javier (Copernicus Publications, 2021)
      Article
      Open Access
      In this paper, we present and evaluate the skill of an EC-Earth3.3 decadal prediction system contributing to the Decadal Climate Prediction Project – Component A (DCPP-A). This prediction system is capable of skilfully ...
    • Climate change adaptation stories: Co-creating climate services with reindeer herders in Finland 

      Terrado, Marta; Pérez-Zanón, Núria; Bojovic, Dragana; González Reviriego, Nube; Versteeg, Gerrit; Octenjak, Sara; Martínez Botí, Albert; Joona, Tanja (Elsevier, 2024)
      Article
      Restricted access - publisher's policy
      Reindeer husbandry in the Arctic region is strongly affected by the local climate. Reindeer herders are used to coping with adverse weather, climate, and grazing conditions through autonomous adaptation. However, today's ...
    • Climate forecast analysis tools framework 

      Pérez-Zanón, Núria; Ho, An-Chi; Benincasa, Francesco; Bretonnière, Pierre-Antoine; Caron, Louis-Philippe; Chou, Chihchung; Delgado-Torres, Carlos; Lledó, Llorenç; Manubens, Nicolau; Palma, Lluís (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      The climate forecast analysis tools provide functions implementing the steps required for the analysis of sub-seasonal, seasonal and decadal forecast and operational climate services, allowing researchers to manipulate ...
    • Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP 

      Eyring, Veronika; Bock, Lisa; Lauer, Axel; Righi, Mattia; Schlund, Manuel; Andela, Bouwe; Arnone, Enrico; Bellprat, Omar; Brötz, Björn; Caron, Louis-Philippe; Carvalhais, Nuno; Cionni, Irene; Cortesi, Nicola; Crezee, Bas; Davin, Edouard L.; Davini, Paolo; Debeire, Kevin; Mora, Lee, de; Deser, Clara; Docquier, David; Earnshaw, Paul; Ehbrecht, Carsten; Gier, Bettina K.; Gonzalez-Reviriego, Nube; Goodman, Paul; Hagemann, Stefan; Hardiman, Steven; Hassler, Birgit; Hunter, Alasdair; Kadow, Christopher; Kindermann, Stephan; Koirala, Sujan; Koldunov, Nikolay; Lejeune, Quentin; Lembo, Valerio; Lovato, Tomas; Lucarini, Valerio; Massonnet, François; Müller, Benjamin; Pandde, Amarjiit; Pérez-Zanón, Núria; Phillips, Adam; Predoi, Valeriu; Russell, Joellen; Sellar, Alistair; Serva, Federico; Stacke, Tobias; Swaminathan, Ranjini; Torralba, Verónica; Vegas-Regidor, Javier; Hardenberg, Jost, von; Weigel, Katja; Zimmermann, Klaus (Copernicus Publications, 2020)
      Article
      Open Access
      The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine evaluation of Earth system models (ESMs) participating in the Coupled ...
    • Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP 

      Lauer, Axel; Eyring, Veronika; Bellprat, Omar; Bock, Lisa; Gier, Bettina K.; Hunter, Alasdair Hunter; Pérez-Zanón, Núria (Copernicus Publications, 2020)
      Article
      Open Access
      The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for evaluation and analysis of Earth system models (ESMs), is designed to facilitate a more comprehensive and rapid ...
    • Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP 

      Weigel, Katja; Bock, Lisa; Gier, Bettina K.; Lauer, Axel; Lauer, Axel; Caron, Louis-Philippe; Hunter, Alasdair; Lledó, Llorenç; Pérez-Zanón, Núria; Vegas-Regidor, Javier (Copernicus Publications, 2021)
      Article
      Open Access
      This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact ...
    • How reliable are decadal climate predictions of near-surface air temperature? 

      Verfaillie, Deborah; Doblas-Reyes, Francisco; Donat, Markus; Pérez-Zanón, Núria; Solaraju Murali, Balakrishnan; Torralba, Verónica; Wild, Simon (American Meteorological Society (AMS), 2020)
      Article
      Open Access
      Decadal climate predictions are being increasingly used by stakeholders interested in the evolution of climate over the coming decade. However, investigating the added value of those initialized decadal predictions over ...
    • Quality Management Framework for Climate Datasets 

      Lacagnina, Carlo; Doblas-Reyes, Francisco; Larnicol, Gilles; Buontempo, Carlo; Obregón, André; Costa Surós, Montserrat; Bretonnière, Pierre-Antoine; Llabrés Brustenga, Alba; Pérez-Zanón, Núria (Ubiquity Press, 2022)
      Article
      Open Access
      Data from a variety of research programmes are increasingly used by policy makers, researchers, and private sectors to make data-driven decisions related to climate change and variability. Climate services are emerging as ...
    • StartR: a tool for large multi-dimensional data processing 

      Pérez-Zanón, Núria; Ho, An-Chi; Manubens, Nicolau; Benincasa, Francesco; Bretonnière, Pierre-Antoine (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      Nowadays, the huge amount of data produced in various scientific domains has made data analysis challenging. In the climate science domain, with the constant increase of resolution in all possible dimensions of model ...