2016-Publications

  • Alessandri, A., F. Catalano, M. De Felice, B. Van Den Hurk, F.J. Doblas Reyes, S. Boussetta, G. Balsamo and P.A. Miller (2016). Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth. Climate Dynamics, doi: 10.1007/s00382-016-3372-4.
  • Batté, L. and M. Déqué (2016). Randomly correcting model errors in the ARPEGE-Climate v6.1 component of CNRM-CM: applications for seasonal forecasts. Geosci. Model Dev., 9, 2055-2076, doi:10.5194/gmd-9-2055-2016.
  • Bellprat, O., Massonnet, F., García-Serrano, J., Fučkar, N.S., Guemas, V., and F. Doblas-Reyes (2016). The role of Arctic sea ice and sea surface temperatures on the cold 2015 February over North America. In Explaining Extreme Events of 2015 from a Climate Perspective. Bulletin of American Meteorological Society, 97, S36-S41, doi:10.1175/BAMS-D-16-0159.1.
  • Benestad, R. E., R. Senan and Y. Orsolini (2016). The use of regression for assessing a seasonal forecast model experiment. Earth System Dynamics, doi:10.5194/esd-7-851-2016.
  • Camp, J. and L.-P. Caron (2016). Analysis of Atlantic hurricane landfall forecasts in coupled GCMs on seasonal and multi-annual timescales. Chapter in Hurricanes and Climate Change. 3nd edition. Springer.
  • Carrassi, A., V. Guemas, F.J. Doblas-Reyes, D. Volpi and M. Asif (2016). Sources of skill in near-term climate prediction. Part I: Generating initial conditions. Climate Dynamics, doi:10.1007/s00382-016-3036-4.
  • Catalano, F., A.  Alessandri, M. De Felice, Z. Zhu, and R. B. Myneni (2016). Observationally based analysis of land–atmosphere coupling. Earth System Dynamics, doi:10.5194/esd-7-251-2016.
  • Day, J., S. Tietsche, M. Collins, H. Goessling, V. Guemas, A. Guillory, W. Hurlin, M. Ishii, S. Keeley, D. Matei, R. Msadek, M. Sigmond, H. Tatebe and E. Hawkins (2016). The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1. Geoscientific Model Devevelopment Discussions, 9, 2255-2270, doi:10.5194/gmd-9-2255-2016.
  • Fučkar, N.S, F. Massonnet, V. Guemas, J. García-Serrano, O. Bellprat, F.J. Doblas-Reyes and M. Acosta (2016). Record low northern hemisphere sea ice extent in March 2015. In Explaining Extreme Events of 2015 from a Climate Perspective. Bulletin of American Meteorological Society, 97, S136-S140, doi:10.1175/BAMS-D-16-0153.1.
  • Guemas, V., M. Chevallier, M. Déqué, O. Bellprat and F.J. Doblas‐Reyes (2016). Impact of sea ice initialization on sea ice and atmosphere prediction skill on seasonal timescales. Geophysical Research Letters, 43, 3889-3896, doi:10.1002/2015GL066626.
  • Lienert, F. and F.J. Doblas-Reyes (2016). Prediction of interannual North Atlantic sea surface temperature and its remote influence over land. Climate Dynamics, doi:10.1007/s00382-016-3254-9.
  • Massonnet, F., O. Bellprat, V. Guemas and F. J. Doblas-Reyes (2016). Using climate models to estimate the quality of global observational data sets. Science, 6311, 452-455, doi:10.1126/science.aaf6369.
  • Manubens-Gil, D., J. Vegas-Regidor, C. Prodhomme, O. Mula-Valls and F.J. Doblas-Reyes, (2016), Seamless management of ensemble climate prediction experiments on HPC platforms. Proceedings of the International Conference on High Performance Computing & Simulation (HPCS 2016), doi:10.1109/HPCSim.2016.7568429.
  • Pohlmann, H., J. Kröger, R. J. Greatbatch and W. Müller (2016). Initialization shock in decadal hindcasts due to errors in wind stress over the tropical Pacific. Climate Dynamics, doi:10.1007/s00382-016-3486-8.
  • Prodhomme, C., L. Batté, F. Massonnet, P. Davini, O. Bellprat, V. Guemas, and F.J. Doblas-Reyes (2016). Benefits of increasing the model resolution for the seasonal forecast quality in EC-Earth. Journal of Climate, 29, 9141-9162, doi: 10.1175/JCLI-D-16-0117.1.
  • Senan, R., Y.J. Orsolini, A. Weisheimer, F. Vitart, G. Balsamo, T.N. Stockdale, E. Dutra, F.J. Doblas-Reyes and D. Basang (2016). Impact of springtime Himalayan-Tibetan Plateau snowpack on the onset of the Indian summer monsoon in coupled seasonal forecasts. Climate Dynamics, doi:10.1007/s00382-016-2993-y.
  • Siegert, S., D. Stephenson, O. Bellprat, M. Ménégoz, and F. Doblas-Reyes (2016). Detecting improvements in forecast correlation skill: Statistical testing and power analysis. Monthly Weather Review, doi: 10.1175/MWR-D-16-0037.1.
  • Sienz, F., W. A. Müller, H. Pohlmann (2016). Ensemble size impact on the decadal predictive skill assessment. Meteorologische Zeitschrift, doi:10.1127/metz/2016/0670.
  • Smith M. D.,B. B. Booth, N. J. Dunstone, R. Eade, L. Hermanson, G. S. Jones, A. A. Scaife, K. L. Sheen and V. Thompson (2016). Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown. Nature Publishing Group, doi:10.1038/nclimate3058.
  • Volpi, D., V. Guemas, F.J. Doblas-Reyes, E. Hawkins and N. Nichols (2016). Decadal climate prediction with a refined anomaly initialisation approach. Climate Dynamics, doi:10.1007/s00382-016-3176-6.
  • Volpi, D., V. Guemas and F.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, doi: 10.1007/s00382-016-3373-3.