Francisco J Doblas Reyes

2016

• Comparison of full field and anomaly initialisation for decadal climate prediction: towards an optimal consistency between the ocean and sea-ice anomaly initialisation state.

  Climate Dynamics

  D. Volpi, V. Guemas, and F. Javier Doblas-Reyes
• Using climate models to estimate the quality of global observational data sets

  Science

  F. Massonnet, O. Bellprat, V. Guemas, and F. Javier Doblas-Reyes
• The Decadal Climate Prediction Project (DCPP) contribution to CMIP6

  Geoscientific Model Development

  G. J. Boer, D. M.. Smith, C. Cassou, F. Javier Doblas-Reyes, G. Danabasoglu, B. Kirtman, Y. Kushnir, M. Kimoto, G. A. Meehl, R. Msadek, W. A. Mueller, K. Taylor, and F. Zwiers
• Requisitos de cómputo de alto rendimiento para la investigación en clima y calidad del aire

  Presentation

  F. JavierDoblas-Reyes
• Seamless management of ensemble climate prediction experiments on HPC platforms

  Proceedings

  D. Manubens, J. Vegas-Regidor, C. Prodhomme, O. Mula-Valls, and F. Javier Doblas-Reyes
• Performance tools for climate models optimization

  Presentation

  M. Castrillo, O. Tintó, G. Llort, K. Serradell, O. Mula, and F. Javier Doblas-Reyes
• Relation between mean bias and Atlantic Niño representation in the CMIP5 models

  Presentation

  C. Prodhomme, A-L. Deppenmeier, E. Exarchou, J. García-Serrano, V. Guemas, and F. Javier Doblas-Reyes
• HPC and data requirements for weather, climate and air quality research

  Presentation

  F. JavierDoblas-Reyes
• Decadal climate prediction with a refined anomaly initialisation approach

  Climate Dynamics

  D. Volpi, V. Guemas, and F. Javier Doblas-Reyes
• NEWA project. First results on predictability assessment.

  Presentation

  A. Soret, V. Torralba-Fernandez, S.. Lozano, N. Cortesi, J.. Sanz, and F. Javier Doblas-Reyes