Articles | Volume 9, issue 6
Geosci. Model Dev., 9, 2031–2053, 2016
Geosci. Model Dev., 9, 2031–2053, 2016

Model description paper 03 Jun 2016

Model description paper | 03 Jun 2016

A new subgrid-scale representation of hydrometeor fields using a multivariate PDF

Brian M. Griffin and Vincent E. Larson

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Cited articles

Anderson, T. W.: On the Distribution of the Two-Sample Cramer-von Mises Criterion, Ann. Math. Statist., 33, 1148–1159, 1962.
Bogenschutz, P. A. and Krueger, S. K.: A simplified PDF parameterization of subgrid-scale clouds and turbulence for cloud-resolving models, J. Adv. Model. Earth Syst., 5,, 2013.
Bogenschutz, P. A., Krueger, S. K., and Khairoutdinov, M.: Assumed Probability Density Functions for Shallow and Deep Convection, J. Adv. Model. Earth Syst., 2, 10,, 2010.
Boutle, I., Abel, S., Hill, P., and Morcrette, C.: Spatial variability of liquid cloud and rain: Observations and microphysical effects, Q. J. Roy. Meteor. Soc., 140, 583–594, 2014.
Short summary
A multivariate probability density function (PDF) can be used to represent the subgrid (below grid-box size) variability of atmospheric fields. The PDF was previously extended to include hydrometeor fields, such as rain water mixing ratio. Now, the PDF of hydrometeor fields is altered to account for precipitating and precipitation-less regions of the subgrid domain. Accounting for these regions allowed the hydrometeor PDF to produce an improved match to results from large-eddy simulations.