A Description of the Advanced Research WRF Version 3

By William C. Skamarock, Joseph B. Klemp, Jimy Dudhia, Dave Gill, D. Barker, Michael G. Duda, Xiang-Yu Huang, Wei Wang, Jordan G. Powers. 2008

10,895 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

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Citations in the corpus

Differentiable Physics-informed Graph Networks (2019, methodology): “, 2018) by using the Weather Research and Forecasting (WRF) model (Skamarock et al., 2008).”
Effects of the Cold Core Eddy on Tropical Cyclone Intensity and Structure under Idealized Air–Sea Interaction Conditions (2013, methodology): “The horizontally uniform ambient temperature and humidity profiles in WRF are specified by the mean tropical sounding of Jordan (1958), and the default humidity values above 450 hPa are given by the linear interpolation.”
On the Intermittency of Gravity Wave Momentum Flux in the Stratosphere (2012, methodology): “The relatively weak coverage of the Southern Ocean by the balloons (especially with respect to its ‘‘perfect’’ counterpart in the simulations) may readily explain why the most infrequent events are better sampled in the WRF simulations (Plougonven et al. 2012).”
Evaluation of cloud‐resolving and limited area model intercomparison simulations using TWP‐ICE observations: 1. Deep convective updraft properties (2014, methodology): “1.1 model [Skamarock et al., 2008] runs described as WRF-1, WRF-2, andWRF-3 in the TWP-ICE LAM intercomparison study [Zhu et al., 2012] and referred to as WRF-W, WRF-T, and WRF-M in this study.”
A Microgrid Energy Management System Based on the Rolling Horizon Strategy (2013, background): “2) Wind Speed: For forecasting the wind speed, this work considers a global forecast system (GFS) for the bounded conditions of a weather research and forecast (WRF) model [20], [21].”
A non-linear least squares enhanced POD-4DVar algorithm for data assimilation (2015, methodology): “To establish a more realistic framework, we use the WRF model version 3 (Skamarock et al., 2008; http://www. wrf-model.org/index.php, the Advanced Research WRF version or ARW is used in our experiments) as the forecast model for the OSSEs.”
A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA (2019, methodology): “ERA5 represents the state of the art in the field of meteorological reanalysis and is used as initial and boundary conditions for the numerical simulations conducted with the Advanced Research core of the Weather Research and Forecasting (WRF-ARW) mesoscale model (Skamarock et al., 2008).”