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Katherine Lundquist
Katherine Lundquist
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An immersed boundary method for the weather research and forecasting model
KA Lundquist, FK Chow, JK Lundquist
Monthly Weather Review 138 (3), 796-817, 2010
1232010
An immersed boundary method enabling large-eddy simulations of flow over complex terrain in the WRF model
KA Lundquist, FK Chow, JK Lundquist
Monthly Weather Review 140 (12), 3936-3955, 2012
1112012
Improving wind energy forecasting through numerical weather prediction model development
JB Olson, JS Kenyon, I Djalalova, L Bianco, DD Turner, Y Pichugina, ...
Bulletin of the American Meteorological Society 100 (11), 2201-2220, 2019
692019
Intercomparison of mesoscale model simulations of the daytime valley wind system
J Schmidli, B Billings, FK Chow, SFJ de Wekker, J Doyle, V Grubišić, ...
Monthly Weather Review 139 (5), 1389-1409, 2011
592011
Crossing multiple gray zones in the transition from mesoscale to microscale simulation over complex terrain
FK Chow, C Schär, N Ban, KA Lundquist, L Schlemmer, X Shi
Atmosphere 10 (5), 274, 2019
582019
A new vertical grid nesting capability in the Weather Research and Forecasting (WRF) Model
MH Daniels, KA Lundquist, JD Mirocha, DJ Wiersema, FK Chow
Monthly Weather Review 144 (10), 3725-3747, 2016
522016
Large-eddy simulation over complex terrain using an improved immersed boundary method in the Weather Research and Forecasting Model
J Bao, FK Chow, KA Lundquist
Monthly Weather Review 146 (9), 2781-2797, 2018
362018
Topographic effects on radiation in the WRF Model with the immersed boundary method: Implementation, validation, and application to complex terrain
RS Arthur, KA Lundquist, JD Mirocha, FK Chow
Monthly Weather Review 146 (10), 3277-3292, 2018
312018
Mesoscale to microscale simulations over complex terrain with the immersed boundary method in the Weather Research and Forecasting Model
DJ Wiersema, KA Lundquist, FK Chow
Monthly Weather Review 148 (2), 577-595, 2020
262020
Assessment of vertical mesh refinement in concurrently nested large-eddy simulations using the Weather Research and Forecasting Model
JD Mirocha, KA Lundquist
Monthly Weather Review 145 (8), 3025-3048, 2017
132017
Using a canopy model framework to improve large-eddy simulations of the neutral atmospheric boundary layer in the weather research and forecasting model
RS Arthur, JD Mirocha, KA Lundquist, RL Street
Monthly Weather Review 147 (1), 31-52, 2019
122019
Immersed boundary methods for high-resolution simulation of atmospheric boundary-layer flow over complex terrain
KA Lundquist
University of California, Berkeley, 2010
122010
Comparison of three different implementations of the immersed boundary method in WRF (WRF-IBM)
J Bao, KA Lundquist, FK Chow
22nd Symp. on Boundary Layers and Turbulence, 2016
102016
13.1 IMPROVED SUBFILTER TURBULENCE MODELING FOR LARGE EDDY SIMULATION USING WRF
JD Mirocha, FK Chow, JK Lundquist, KA Lundquist
92007
Examining the climate effects of a regional nuclear weapons exchange using a multiscale atmospheric modeling approach
BM Wagman, KA Lundquist, Q Tang, LG Glascoe, DC Bader
Journal of Geophysical Research: Atmospheres 125 (24), e2020JD033056, 2020
82020
Evaluating implementations of the immersed boundary method in the Weather Research and Forecasting Model
RS Arthur, KA Lundquist, DJ Wiersema, J Bao, FK Chow
Monthly Weather Review 148 (5), 2087-2109, 2020
82020
Sensitivity of a Bayesian source-term estimation model to spatiotemporal sensor resolution
DD Jensen, DD Lucas, KA Lundquist, LG Glascoe
Atmospheric Environment: X 3, 100045, 2019
62019
10.1 Numerical errors in flow over steep topography: analysis and alternatives
KA Lundquist, FK Chow, JK Lundquist
62010
An immersed boundary method for flow over complex terrain
KA Lundquist, FK Chow, JK Lundquist
13th Conference on Mountain Meteorology, 10, 2008
62008
An improved WRF for urban-scale and complex-terrain applications
JK Lundquist, FK Chow, JD Mirocha, KA Lundquist
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2007
62007
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Artikelen 1–20