@article{987,
  keywords = {Data handling, Database systems, Sea ice, Dynamical process, Multi-model approaches, Multi-model ensemble, Near-real time, Project database, Research communities, Seasonal forecasts, Seasonal prediction, Forecasting},
  author = {F. Vitart and C. Ardilouze and A. Bonet and A. Brookshaw and M. Chen and C. Codorean and M. Déqué and L. Ferranti and E. Fucile and M. Fuentes and H. Hendon and J. Hodgson and H.-S. Kang and A. Kumar and H. Lin and G. Liu and X. Liu and P. Malguzzi and I. Mallas and M. Manoussakis and D. Mastrangelo and C. MacLachlan and P. McLean and A. Minami and R. Mladek and T. Nakazawa and S. Najm and Y. Nie and M. Rixen and A.W. Robertson and P. Ruti and C. Sun and Y. Takaya and M. Tolstykh and F. Venuti and D. Waliser and S. Woolnough and T. Wu and D.-J. Won and H. Xiao and R. Zaripov and L. Zhang},
  title = {The subseasonal to seasonal (S2S) prediction project database},
  year = {2017},
  journal = {Bulletin of the American Meteorological Society},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011676258&doi=10.1175%2fBAMS-D-16-0017.1&partnerID=40&md5=c8a69a51bbaa62928b2a0cef75172384},
  doi = {10.1175/BAMS-D-16-0017.1},
}