MiKlip II improves the decadal climate prediction system of the first MiKlip phase through further research and development. Module D provides the essential scientific and technical infrastructure for the prediction system.
The main goals of Module D are:
MiKlip II is divided in two development stages: one pre-operational and one quasi-operational phase. In each of the phases Module D produces retrospective predictions – “hindcasts”, predictions, as well as analysis of these. All of these are accessible for all project partners on the project-owned server – the MiKlip server.
Smith, D. | N. Dunstone, R. Eade , D. Fereday, J. Murphy, H. Pohlmann, and A. Scaife, A
Smith, D. M. | A. A. Scaife, G. J. Boer, M. Caian, F. J. Doblas-Reyes, V. Guemas, E. Hawkins, W. Hazeleger, L. Hermanson, C. K. Ho, M. Ishii, V. Kharin, M. Kimoto, B. Kirtman, J. Lean, D. Matei, W. A. Müller, H. Pohlmann, A. Rosati, B. Wouters, and K. Wyser
Pohlmann, H. | W. A. Müller, K. Kulkarni, M. Kameswarrao, D. Matei, F. S. E. Vamborg, C. Kadow, S. Illing, J. Marotzke
Menary, M. B. | C. D. Roberts, M. D. Palmer, P. R. Halloran, L. Jackson, R. A. Wood, W. A. Müller, D. Matei, and S.-K. Lee
Hazeleger, W. | B. Wouters, G. van Oldenborgh, S. Corti, D. Smith, N. Dunstone, J. Kroeger, H. Pohlmann, and J.-S. von Storch
Smith, D. | R. Eade, and H. Pohlmann
Pohlmann, H. | D. Smith, M. Balmaseda, N. Keenlyside, S. Masina, D. Matei, W. Müller, and P. Rogel
Müller, W. A. | J. Baehr, H. Haak, J. H. Jungclaus, J. Kröger, D. Matei, D. Notz, H. Pohlmann, J.-S. von Storch, and J. Marotzke