Quantifying Predictability
Quantifying Predictability
Editor(s): Z. Toth and R. Buizza

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31 Dec 2003
Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: ensemble statistics
V. Pérez-Muñuzuri, M. N. Lorenzo, P. Montero, K. Fraedrich, E. Kirk, and F. Lunkeit
Nonlin. Processes Geophys., 10, 453–461, https://doi.org/10.5194/npg-10-453-2003,https://doi.org/10.5194/npg-10-453-2003, 2003
31 Dec 2003
Increasing the horizontal resolution of ensemble forecasts at CMC
G. Pellerin, L. Lefaivre, P. Houtekamer, and C. Girard
Nonlin. Processes Geophys., 10, 463–468, https://doi.org/10.5194/npg-10-463-2003,https://doi.org/10.5194/npg-10-463-2003, 2003
31 Dec 2003
Can an ensemble give anything more than Gaussian probabilities?
J. C. W. Denholm-Price
Nonlin. Processes Geophys., 10, 469–475, https://doi.org/10.5194/npg-10-469-2003,https://doi.org/10.5194/npg-10-469-2003, 2003
31 Dec 2003
A comparison of assimilation results from the ensemble Kalman Filter and a reduced-rank extended Kalman Filter
X. Zang and P. Malanotte-Rizzoli
Nonlin. Processes Geophys., 10, 477–491, https://doi.org/10.5194/npg-10-477-2003,https://doi.org/10.5194/npg-10-477-2003, 2003
31 Dec 2003
Conditional nonlinear optimal perturbation and its applications
M. Mu, W. S. Duan, and B. Wang
Nonlin. Processes Geophys., 10, 493–501, https://doi.org/10.5194/npg-10-493-2003,https://doi.org/10.5194/npg-10-493-2003, 2003
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