Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3105-2015
https://doi.org/10.5194/gmd-8-3105-2015
Development and technical paper
 | 
06 Oct 2015
Development and technical paper |  | 06 Oct 2015

Assessment of valley cold pools and clouds in a very high-resolution numerical weather prediction model

J. K. Hughes, A. N. Ross, S. B. Vosper, A. P. Lock, and B. C. Jemmett-Smith

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Cited articles

Barr, S. and Orgill, M. M.: Influence of external meterology on nocturnal valley drainage winds, J. Appl. Meteor., 28, 497–517, https://doi.org/10.1175/1520-0450(1989)028<0497:IOEMON>2.0.CO;2, 1989.
Beare, R. and Macvean, M.: Resolution sensitivity and scaling of large-edy simulations of the stable boundary layer., Bound.-Lay. Meteorol., 112, 257–281, https://doi.org/10.1023/B:BOUN.0000027910.57913.4d, 2004.
Beare, R. J., Macvean, M. K., Holtslag, A. A. M., Cuxart, J., Esau, I., Golaz, J. C., Jimenez, M. A., Khairoutdinov, M., Kosovic, B., Lewellen, D., Lund, T. S., Lundquist, J. K., Mccabe, A., Moene, A. F., Noh, Y., Raasch, S., and Sullivan, P.: An intercomparison of large-eddy simulations of the stable boundary layer, Bound.-Lay. Meteorol., 118, 247–272, https://doi.org/10.1007/s10546-004-2820-6, 2006.
Boutle, I., Eyre, J., and Lock, A. P.: Seamless Stratocumulus Simulation across the Turbulent Gray Zone, Mon. Weather Rev., 142, 1655–1668, https://doi.org/10.1175/MWR-D-13-00229.1, 2014.
Hong, S. and Dudhia, J.: Next-Generation Numerical Weather Prediction: Bridging Parameterization, Explicit Clouds, and Large Eddies., Bull. Amer. Meteor. Soc., 93, ES6–ES9, https://doi.org/10.1175/2011BAMS3224.1, 2011.
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Short summary
The formation of cold air pools in valleys under stable conditions represents an important challenge for numerical weather prediction (NWP). In this study a two-month cold pool simulation is presented using a high-resolution NWP model. Results are compared to observations and assumptions made in the cloud parametrization scheme about the sub-grid variability of humidity are shown to dominate model bias. Our results show that this is a key area for very high resolution modelling development.
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