| 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 | 146 | 2010 |
| 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 | 135 | 2012 |
| 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 | 106 | 2019 |
| 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 | 104 | 2019 |
| 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 | 66 | 2016 |
| 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 | 62 | 2011 |
| 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 | 53 | 2020 |
| 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 | 50 | 2018 |
| 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 | 46 | 2018 |
| 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 | 21 | 2020 |
| 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 | 18 | 2019 |
| 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 | 17 | 2017 |
| 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 | 15 | 2020 |
| 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 | 14 | 2019 |
| Immersed boundary methods for high-resolution simulation of atmospheric boundary-layer flow over complex terrain KA Lundquist University of California, Berkeley, 2010 | 11 | 2010 |
| 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 | 9 | 2016 |
| 13.1 IMPROVED SUBFILTER TURBULENCE MODELING FOR LARGE EDDY SIMULATION USING WRF JD Mirocha, FK Chow, JK Lundquist, KA Lundquist | 9 | 2007 |
| Improving wind energy forecasting through numerical weather prediction model development, B. Am. Meteorol. Soc., 100, 2201–2220 JB Olson, JS Kenyon, I Djalalova, L Bianco, DD Turner, Y Pichugina, ... | 8 | 2019 |
| Evaluation of turbulence and dispersion in multiscale atmospheric simulations over complex urban terrain during the joint urban 2003 field campaign DJ Wiersema, KA Lundquist, JD Mirocha, F Katopodes Chow Monthly Weather Review 150 (12), 3195-3209, 2022 | 7 | 2022 |
| Development of a multiscale modeling framework for urban simulations in the Weather Research and Forecasting model DJ Wiersema, KA Lundquist, FK Chow Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018 | 7 | 2018 |
