2010
DOI: 10.1175/2009mwr2990.1
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An Immersed Boundary Method for the Weather Research and Forecasting Model

Abstract: This paper describes an immersed boundary method that facilitates the explicit resolution of complex terrain within the Weather Research and Forecasting (WRF) model. Mesoscale models, such as WRF, are increasingly used for high-resolution simulations, particularly in complex terrain, but errors associated with terrain-following coordinates degrade the accuracy of the solution. The use of an alternative-gridding technique, known as an immersed boundary method, alleviates coordinate transformation errors and eli… Show more

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Cited by 98 publications
(68 citation statements)
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“…Applications include, atmosphere-land interactions (Patton et al 2005), boundary layers with surface water wave effects (Sullivan and McWilliams 2010;Sullivan et al 2007Sullivan et al , 2008, weakly stable nocturnal flows (Beare et al 2006), flow in complex terrain (Lundquist et al 2010), stratocumulus clouds (Stevens et al 2005), tropical boundary layers beneath deep convection (Moeng et al 2009), and coupling with mesoscale weather events (Bryan et al 2003), to mention just a few.…”
Section: Introductionmentioning
confidence: 99%
“…Applications include, atmosphere-land interactions (Patton et al 2005), boundary layers with surface water wave effects (Sullivan and McWilliams 2010;Sullivan et al 2007Sullivan et al , 2008, weakly stable nocturnal flows (Beare et al 2006), flow in complex terrain (Lundquist et al 2010), stratocumulus clouds (Stevens et al 2005), tropical boundary layers beneath deep convection (Moeng et al 2009), and coupling with mesoscale weather events (Bryan et al 2003), to mention just a few.…”
Section: Introductionmentioning
confidence: 99%
“…For slopes lower than 30 degrees those errors are negligible, but at higher slopes model errors become large and can cause stability problems. Recently, the immersed boundary method (IBM) has become popular in numerical simulation of atmospheric flows over complex terrain in urban and mountainous areas [8][9][10][11][12][13][14][15][16]. The advantage of IBM is that it offers a simple strategy to use a regular computational grid while solving flow problems with complex geometries.…”
Section: Introductionmentioning
confidence: 99%
“…Most modeling systems standardly employ numerical filters on terrain elevation. These filters primarily smooth mountain peaks and valley lows but have little effect on steep slopes, another primary source of numerical instability, for which methods are being developed in WRF such as the immersed boundary method [52]. The CAWFE model, built upon the Clark-Hall atmospheric model optimized for use at very high resolution (100 s of m) in steep mountainous terrain, allows the user to filter either or both terrain elevation and the terrain gradient.…”
Section: Terrainmentioning
confidence: 99%