Examining Two-Way Grid Nesting for Large Eddy Simulation of the PBL Using the WRF Model

327 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

THE MARTIAN ATMOSPHERIC BOUNDARY LAYER (2011, methodology): “Surface layer values for sensible heat flux Hs and friction velocity u* are passed on to the turbulent diffusion scheme where they modify momentum and potential temperature at the lowest grid levels [Moeng et al., 2007].”
Implementation of a Nonlinear Subfilter Turbulence Stress Model for Large-Eddy Simulation in the Advanced Research WRF Model (2010, methodology): “(5) Here CS is the Smagorinsky coefficient, which, in WRF, is given a default value of 0.25.”
Nested Mesoscale Large-Eddy Simulations with WRF: Performance in Real Test Cases (2012, methodology): “Our aim is to contrast the sensitivity of WRF to SGS closure schemes under idealized and real cases; the reader is referred to other references (Moeng et al. 2007; Mirocha et al. 2010; Kirkil et al. 2012) for an in-depth analysis of SGS closure schemes in WRF.”
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017, background): “If the nested high-resolution simulations feed back onto the ESM, this –5– corresponds to a locally extreme mesh refinement; however, two-way nesting may not always be necessary [e.g., Moeng et al., 2007; Zhu et al., 2010].”