Abstract

Abstract Diffusion that is implicit in the odd-ordered advection schemes in early versions of the Advanced Research core of the Weather Research and Forecasting (WRF) model is sometimes insufficient to remove noise from kinematical fields. The problem is worst when grid-relative wind speeds are low and when stratification is nearly neutral or unstable, such as in weakly forced daytime boundary layers, where noise can grow until it competes with the physical phenomena being simulated. One solution to this problem is an explicit, sixth-order numerical diffusion scheme that preserves the WRF model’s high effective resolution and uses a flux limiter to ensure monotonicity. The scheme, and how it was added to the WRF model, are explained. The scheme is then demonstrated in an idealized framework and in simulations of salt breezes and lake breezes in northwestern Utah.

Keywords

Weather Research and Forecasting ModelMeteorologyAdvectionDiffusionStratification (seeds)GridMonotonic functionEnvironmental scienceScalar (mathematics)TurbulenceNumerical weather predictionAtmospheric sciencesClimatologyPhysicsMathematicsGeologyMathematical analysisGeometry

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Publication Info

Year
2007
Type
article
Volume
135
Issue
11
Pages
3808-3824
Citations
125
Access
Closed

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Cite This

Jason C. Knievel, George H. Bryan, Joshua P. Hacker (2007). Explicit Numerical Diffusion in the WRF Model. Monthly Weather Review , 135 (11) , 3808-3824. https://doi.org/10.1175/2007mwr2100.1

Identifiers

DOI
10.1175/2007mwr2100.1