Articles | Volume 31, issue 3
https://doi.org/10.5194/npg-31-359-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Prognostic assumed-probability-density-function (distribution density function) approach: further generalization and demonstrations
Related authors
Cited articles
Anderson, J. L. and Anderson, S. L.: A Monte-Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts, Mon. Weather Rev., 127, 2741–2758, 1999. a
Bechtold, P., Fravalo, C., and Pinty, J. P.: A model of marine boundary-layer cloudness for mesoscale applications, J. Atmos. Sci., 49, 1723–1744, 1992. a
Bechtold, P., Cuijpers, J. W. M., Mascart, P., and Trouilhet, P.: Modeling of trade-wind cumuli with a low-order turbulence model – Towards a unified description of Cu and Sc clouds in meteorological models, J. Atmos. Sci., 52, 455–463, 1995. a
Bony, S. and Emanuel, K. A.: A parameterization of the cloudness associated with cumulus convection: Evaluation using TOGA COARE data, J. Atmos. Sci., 58, 3158–3183, 2001. a