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A Description of the Advanced Research WRF Version 2
Open accessAbstract
The Technical Note series provides an outlet for a variety of NCAR manuscripts that contribute in specialized ways to the body of scientific knowledge but which are not suitable for journal, monograph, or book publication. Reports in this series are issued by the NCAR Scientific Di-visions; copies may be obtained on request from the Publications Office of NCAR. Designation symbols for the series include: EDD: Engineering, Design, or Development Reports Equipment descriptions, test results, instrumentation, and operating and maintenance manuals. IA: Instructional Aids Instruction manuals, bibliographies, film supplements, and other research or instructional aids. PPR: Program Progress Reports Field program reports, interim and working reports, survey reports, and plans for experiments. PROC: Proceedings Documentation of symposia, colloquia, conferences, workshops, and lectures. (Distribution may be limited to attendees.) STR: Scientific and Technical Reports Data compilations, theoretical and numerical investigations, and experimental results. The National Center for Atmospheric Research (NCAR) is operated by the University Corpora-tion for Atmospheric Research (UCAR) and is sponsored by the National Science Foundation. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Salamanca, F., Zhang, Y.-Z., Barlage, M., Chen, F., Mahalov, A., & Miao, S. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1002/2018jd028377 · Cited by 96
Zajaczkowski, F., Haupt, S., & Schmehl, K. (2011) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2011.01.023 · Cited by 96
Sugimoto, S., Crook, N. A., Sun, J.-Z., Xiao, Q., & Barker, D. (2009) · doi:10.1175/2009mwr2839.1 · Cited by 96
“The balanced component is modeled via a regression analysis of the field using specific predictor fields [e.g., streamfunction; see Skamarock et al. (2005) and Wu et al. (2002) for further details].”
BackgroundMethodInfluentialSelf-citationHill, K. A., & Lackmann, G. (2009) · doi:10.1175/2008mwr2220.1 · Cited by 96
“a. Model Version 2.1.21 of the WRF-ARW model (Skamarock et al. 2005) was used to conduct two separate sets of model experiments designed to test the sensitivity to model physics and grid spacing (Table 1), with each set utilizing either the Yonsei University (YSU) or the Mellor–Yamada–Janjic (MYJ)…”
MethodInfluentialSheng, Y., Zhang, Y., & Paramygin, V. (2010) · doi:10.1016/j.ocemod.2010.09.004 · Cited by 96
Ullrich, P. A., Xu, Z., Rhoades, A. M., Dettinger, M. D., Mount, J. F., Jones, A. D., & Vahmani, P. (2018) · Earth s Future · doi:10.1029/2018ef001007 · Cited by 132
Validation of simulated hurricane drop size distributions using polarimetric radar
Brown, B. R., Bell, M., & Frambach, A. J. (2015) · doi:10.1002/2015gl067278 · Cited by 95
“The current study uses six different microphysical parameterizations available in the Advanced Research Weather Research and Forecasting model (WRF) [Skamarock et al., 2005] version 3.6.1.”
MethodInfluentialSrivastava, P. K., Han, D., Rico‐Ramirez, M. A., & Islam, T. (2013) · Hydrological Processes · doi:10.1002/hyp.9946 · Cited by 97
Forecast of Low Visibility and Fog from NCEP: Current Status and Efforts
Zhou, B., Du, J., Gültepe, I., & DiMego, G. (2011) · Pure and Applied Geophysics · doi:10.1007/s00024-011-0327-x · Cited by 92
Osuri, K., Mohanty, U. C., Routray, A., & Mohapatra, M. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.596849 · Cited by 95
“A detailed description of the model equations, physics and dynamics is available in Dudhia (2004) and Skamarock et al. (2005).”
BackgroundMiyoshi, T., & Kunii, M. (2012) · Pure and Applied Geophysics · doi:10.1007/s00024-011-0373-4 · Cited by 95
Khain, A., Leung, L., Lynn, B., & Ghan, S. (2009) · doi:10.1029/2009jd011902 · Cited by 95
Bao, J., Michelson, S., Persson, P., Djalalova, I., & Wilczak, J. (2008) · Journal of Applied Meteorology and Climatology · doi:10.1175/2008jamc1822.1 · Cited by 95
“In this study, the 29 July–3 August 2000 high-ozone episode is investigated using observations collected during the CCOS field experiment and the advanced research version of the Weather Research and Forecasting Model (WRF; Skamarock et al. 2005).”
BackgroundMethodWeverberg, K. V., Vogelmann, A., Morrison, H., & Milbrandt, J. (2012) · doi:10.1175/mwr-d-11-00120.1 · Cited by 94
Zhang, Y., Chen, Y., Sarwar, G., & Schere, K. (2012) · doi:10.1029/2011jd015775 · Cited by 94
“The cloud-radiation interactions are simulated by linking simulated CDNC with the Goddard shortwave radiation scheme and the Lin et al. microphysics scheme [Skamarock et al., 2005].”
MethodSuh, M., Oh, S., Lee, D. K., Cha, D., Choi, S., Jin, C., & Hong, S. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00457.1 · Cited by 95
Modeling transport and deposition of the Mekong River sediment
Xue, Z., He, R., Liu, J.-P., & Warner, J. C. (2012) · doi:10.1016/j.csr.2012.02.010 · Cited by 92
“The COAWST system consists of several stateof-the-science modeling components, including ROMS (Regional Ocean Modeling System, Shchepetkin and McWilliams, 2005, 2009; Haidvogel et al., 2008) for the coastal ocean circulation, WRF (Weather Research and Forecasting Model, Skamarock et al., 2005) for regional atmospheric…”
BackgroundThe Impact of Dry Midlevel Air on Hurricane Intensity in Idealized Simulations with No Mean Flow
Braun, S., Sippel, J., & Nolan, D. (2011) · doi:10.1175/jas-d-10-05007.1 · Cited by 92
Simulation of hurricane response to suppression of warm rain by sub-micron aerosols
Rosenfeld, D., Khain, A., Lynn, B., & Woodley, W. (2007) · doi:10.5194/acp-7-3411-2007 · Cited by 92
Deconstructing the King megafire
Coen, J. L., Stavros, E. N., & Fites‐Kaufman, J. A. (2018) · Ecological Applications · doi:10.1002/eap.1752 · Cited by 92
Fan, C., Myint, S., Kaplan, S., Middel, A., Zheng, B., Rahman, A., Huang, H.-P., Brazel, A., & Blumberg, D. (2017) · Remote Sensing · doi:10.3390/rs9070672 · Cited by 91
“These classes were selected because of ongoing regional climate simulation efforts using the Weather Research and Forecasting (WRF) model [31] to quantify changes in regional climatic parameters associated with land-surface changes.”
Methodde Foy, B., Wilkins, J., Lu, Z.-F., Streets, D., & Duncan, B. (2014) · Atmospheric Environment · doi:10.1016/j.atmosenv.2014.08.051 · Cited by 91
“The meteorological simulations were performed with the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005), and use the North American Regional Reanalysis (Mesinger et al., 2006) for the initial and boundary conditions.”
MethodKonovalov, I., Berezin, E., Ciais, P., Broquet, G., Beekmann, M., Hadji-Lazaro, J., Clerbaux, C., Andreae, M., Kaiser, J., & Schulze, E. (2014) · Atmospheric chemistry and physics · doi:10.5194/acp-14-10383-2014 · Cited by 91
Bukovsky, M., Gochis, D., & Mearns, L. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00538.1 · Cited by 91
The Vertical Structure of Mesoscale Convective Vortices
Davis, C., & Galarneau, T. J. (2009) · doi:10.1175/2008jas2819.1 · Cited by 91
“The principal tool used in this study is numerical simulations using the Advanced Research Weather Research and Forecasting Model (ARW; Skamarock et al. 2005).”
MethodCase, J., Crosson, W., Kumar, S. V., Lapenta, W., & Peters-Lidard, C. (2008) · doi:10.1175/2008jhm990.1 · Cited by 91
“Horizontal diffusion is handled by the two-dimensional Smagorinsky firstorder closure scheme (Smagorinsky et al. 1965).”
MethodNumerical Analysis of a Mediterranean ``Hurricane'' over Southeastern Italy
Moscatello, A., Miglietta, M., & Rotunno, R. (2008) · doi:10.1175/2008mwr2512.1 · Cited by 91
“The model used in this study is the Weather Research and Forecasting (WRF) Model, version 2.2 (Skamarock et al. 2005; Michalakes et al. 2004; see also http://www.wrf-model.org/index.php).”
MethodInfluentialOffshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence
Bodini, N., Lundquist, J., & Kirincich, A. (2019) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/1452/1/012023 · Cited by 90
Extreme Flood Response: The June 2008 Flooding in Iowa
Smith, J. A., Baeck, M. L., Villarini, G., Wright, D. B., & Krajewski, W. F. (2013) · Journal of Hydrometeorology · doi:10.1175/jhm-d-12-0191.1 · Cited by 91
“Moisture convergence time series are derived from downscaled WRF simulation (see text for details). watershed.”
BackgroundMethodInfluentialTranslation of Ensemble Weather Forecasts into Probabilistic Air Traffic Capacity Impact
Steiner, M., Bateman, R. E., Megenhardt, D., Liu, Y., Xu, M., Pocernich, M., & Krozel, J. A. (2010) · Air Traffic Control Quarterly · doi:10.2514/atcq.18.3.229 · Cited by 71
“, 1995] and the Weather Research and Forecasting (WRF) [Skamarock et al., 2007] modeling systems, combined with a mixture of land surface, boundary layer and microphysics packages, multiple perturbation schemes, and different initializations.”
BackgroundInfluentialPowers, J. G. (2007) · doi:10.1175/mwr3459.1 · Cited by 90
“…the WRF single-moment, five-species microphysics scheme (WSM5) (Hong et al. 2004), the Mellor–Yamada–Janjic (aka Eta) planetary boundary layer (PBL) scheme (Mellor and Yamada 1982; Janjic 2002), and the Kain–Fritsch cumulus pa- rameterization (Kain and Fritsch 1993; see also Skamarock et al. 2005).”
MethodInfluentialEncyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires
Heilman, W., Clements, C., Zhong, S., Clark, K., & Bian, X. (2020) · doi:10.1007/978-3-319-51727-8 · Cited by 90
“Similar numerical modeling studies of fireatmosphere interactions have been carried out using the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005) alone or the wildland fire behavior module WRFFire (Coen et al.”
Methodtobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets
Heikenfeld, M., Marinescu, P., Christensen, M., Watson-Parris, D., Senf, F., van den Heever, S. C., & Stier, P. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-4551-2019 · Cited by 89
Wang, Y., Zhang, Y., Schauer, J., de Foy, B., Guo, B., & Zhang, Y.-X. (2016) · Science of the Total Environment · doi:10.1016/j.scitotenv.2016.06.215 · Cited by 89
Osuri, K., Mohanty, U. C., Routray, A., & Niyogi, D. (2015) · doi:10.1175/mwr-d-13-00381.1 · Cited by 89
“The details of the model physics, dynamics, and description of the model equations can be found in Skamarock et al. (2005).”
BackgroundMethane emissions from Alaska in 2012 from CARVE airborne observations
Chang, R., Miller, C., Dinardo, S., Karion, A., Sweeney, C., Daube, B., Henderson, J., Mountain, M., Eluszkiewicz, J., Miller, J. B., et al. (2014) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1412953111 · Cited by 89
Mayer, S., Sandvik, A., Jonassen, M., & Reuder, J. (2012) · Meteorology and atmospheric physics (Print) · doi:10.1007/s00703-010-0063-2 · Cited by 89
“For a detailed description, see Skamarock et al. (2005).”
BackgroundPerformance of the Weather Research and Forecasting Model for Month-Long Pan-Arctic Simulations
Cassano, J., Higgins, M., & Seefeldt, M. (2011) · doi:10.1175/mwr-d-10-05065.1 · Cited by 89
“The Weather Research and Forecasting (WRF) model (Skamarock et al. 2005, 2008) is a regional mesoscale atmospheric model that was developed to be a next-generation mesoscale model that could be used for both research and operational weather forecasting.”
BackgroundRappin, E., Nolan, D. S., & Emanuel, K. A. (2010) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.706 · Cited by 89
“1 mesoscale numerical weather prediction system (Skamarock et al., 2005).”
MethodInfluentialAmmonia in the summertime Arctic marine boundary layer: sources, sinks, and implications
Wentworth, G., Murphy, J., Croft, B., Martin, R., Pierce, J., Côté, J., Courchesne, I., Tremblay, J., Gagnon, J., Thomas, J. L., et al. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-16-1937-2016 · Cited by 88
“The GEOS5-FP data used in this study/project have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center.”
MethodInfluentialSeasonal modeling of PM2.5 in California's San Joaquin Valley
Chen, J., Lu, J., Avise, J., DaMassa, J., Kleeman, M., & Kaduwela, A. (2014) · doi:10.1016/j.atmosenv.2014.04.030 · Cited by 88
Huber, D., Mechem, D., & Brunsell, N. (2014) · doi:10.3390/cli2020103 · Cited by 88
“WRF is a three-dimensional, non-hydrostatic, fully compressible numerical model [29].”
BackgroundPrediction of lightning flash density with the WRF model
Lynn, B., & Yair, Y. (2010) · doi:10.5194/adgeo-23-11-2010 · Cited by 88
Hurricane Vortex Dynamics during Atlantic Extratropical Transition
Davis, C., Jones, S., & Riemer, M. (2008) · Journal of the Atmospheric Sciences · doi:10.1175/2007jas2488.1 · Cited by 88
“…simplest explanation for the positive correlation of mass flux with shear arises from quasigeostrophic theory, wherein the right-hand side of the omega equation is dominated by the so-called Sutcliffe term, advection of vorticity by the thermal wind, that is, by the vertical shear (Sutcliffe 1947).”
BackgroundSaiz-Lopez, A., Travnikov, O., Sonke, J., Thackray, C., Jacob, D., Carmona-García, J., Francés-Monerris, A., Roca-Sanjuán, D., Acuña, A., Davalos, J., et al. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1922486117 · Cited by 87
“The atmospheric transport of the tracers is driven by meteorological fields generated by the Weather Research and Forecast modeling system (WRF) (38) fed by the operational analysis data from the European Centre for Medium-Range Weather Forecasts (39).”
Impact of WRF model PBL schemes on air quality simulations over Catalonia, Spain.
Banks, R., & Baldasano, J. (2016) · Science of the Total Environment · doi:10.1016/j.scitotenv.2016.07.167 · Cited by 87
“WRF model configuration In this study we useWRF version 3.5.1 with the Advanced Research WRF (ARW) dynamical solver (Skamarock et al., 2005).”
MethodInfluentialEffects of Parameterized Diffusion on Simulated Hurricanes
Rotunno, R., & Bryan, G. (2012) · doi:10.1175/jas-d-11-0204.1 · Cited by 87
“However, to our knowledge all NWP models used in the study of hurricanes distinguish a horizontal and vertical eddy diffusivity (e.g., Skamarock et al. 2005, ch. 4) to ensure that horizontal diffusion is operative to prevent the formation of frontal discontinuities.”
MethodAwan, N., Truhetz, H., & Gobiet, A. (2011) · doi:10.1175/2011jcli3674.1 · Cited by 87
Dulière, V., Zhang, Y.-X., & Salathe, E. (2011) · Journal of Climate · doi:10.1175/2010jcli3224.1 · Cited by 87
Zhang, Y.-X., Dubey, M., Olsen, S., Zheng, J., & Zhang, R.-Y. (2009) · Atmospheric chemistry and physics · doi:10.5194/acp-9-3777-2009 · Cited by 87
“The available microphysics options within WRF include the Kessler scheme, the Lin et al. scheme, WRF SingleMoment schemes, Eta scheme, and the Thompson et al. cheme (Skamarock et al., 2006).”
MethodPlougonven, R., Hertzog, A., & Téitelbaum, H. (2008) · doi:10.1029/2007jd009739 · Cited by 87
“Standard parameterizations were used, including the WRF single-moment 3 class for microphysics and the Yonsei University scheme for the planetary boundary layer [Skamarock et al., 2005].”
MethodInfluentialLarge Projected Decline in Dissolved Oxygen in a Eutrophic Estuary Due to Climate Change
Ni, W., Li, M., Ross, A. C., & Najjar, R. G. (2019) · Journal of Geophysical Research Oceans · doi:10.1029/2019jc015274 · Cited by 122
“WRFG_cgcm3 is the Weather Research and Forecasting Grell model (WRFG; Skamarock et al., 2005) driven by the Third Generation Coupled Global Climate Model (CGCM3; Flato, 2005), projecting large temperature increase but moderate streamflow increase.”
BackgroundMethodMarras, S., Kelly, J. F., Moragues, M., Müller, A., Kopera, M., Vázquez, M., Giraldo, F., Houzeaux, G., & Jorba, O. (2015) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-015-9152-1 · Cited by 86
“WRF-ARW [271] USA NCAR NH LAM CEE FD SpEx AROME Europe Consortium NH LAM ALADIN ST SI”
BackgroundMethodInfluentialIdentifying hot spots of security vulnerability associated with climate change in Africa
Busby, J. W., Cook, K. H., Vizy, E. K., Smith, T. G., & Bekalo, M. T. (2014) · Climatic Change · doi:10.1007/s10584-014-1142-z · Cited by 87
“The RCM used is the National Center for Atmospheric Research/ National Oceanic and Atmospheric Administration (NCAR/NOAA) Weather Research and Forecasting (Skamarock et al. 2005) regional model.”
MethodWang, Z., Montgomery, M., & Dunkerton, T. (2010) · doi:10.1175/2010jas3435.1 · Cited by 86
“The Weather Research and Forecasting (WRF) model version 3.0 (Skamarock et al. 2005) was used in this study, and the model was described briefly in Part I.”
MethodInfluentialOliveira, P., Nolasco, R., Dubert, J., Moita, T., & Peliz, Á. (2009) · doi:10.1016/j.csr.2008.08.004 · Cited by 86
Wang, Z.-H., Bou-Zeid, E., & Smith, J. A. (2011) · doi:10.1007/s10546-010-9552-6 · Cited by 86
Schuh, A. E., Lauvaux, T., West, T. O., Denning, A. S., Davis, K. J., Miles, N., Richardson, S., Uliasz, M., Lokupitiya, E., Cooley, D., et al. (2013) · Global Change Biology · doi:10.1111/gcb.12141 · Cited by 85
“The WRF-Chem (Skamarock et al., 2005) was used for transport by the PSU inversion system at a resolution of 10 km by 10km.”
MethodCrossing the chasm: how to develop weather and climate models for next generation computers?
Lawrence, B., Rezny, M., Budich, R., Bauer, P., Behrens, J., Carter, M., Deconinck, W., Ford, R. W., Maynard, C. M., Mullerworth, S., et al. (2018) · Geoscientific model development · doi:10.5194/gmd-11-1799-2018 · Cited by 89
“One of the reasons for the popularity of the Weather Research and Forecasting model (WRF; Skamarock et al., 2005) is that it is easy to modify and run, and this productivity–portability benefit out-weighs the use of alternative models even when they perceived to deliver better-quality weather…”
BackgroundEffect of the Andes Cordillera on Precipitation from a Midlatitude Cold Front
Barrett, B., Garreaud, R., & Falvey, M. (2009) · Monthly Weather Review · doi:10.1175/2009mwr2881.1 · Cited by 85
“…evolution of this precipitation event, we ran a 72-h simulation using version 2.2 of the Advanced Research Weather Research and Forecasting Model (ARW-WRF, or simply WRF; Skamarock et al. 2005), initialized at 1200 UTC 25 May 2008, about 24 h before the onset of precipitation in central Chile.”
MethodInfluentialBow Echo Mesovortices. Part II: Their Genesis
Atkins, N. T., & Laurent, M. S. (2009) · doi:10.1175/2008mwr2650.1 · Cited by 85
Ntelekos, A. A., Smith, J. A., Baeck, M. L., Krajewski, W. F., Miller, A. J., & Goska, R. (2008) · Water Resources Research · doi:10.1029/2007wr006346 · Cited by 88
“In this study, the Advanced Research vers WRF, ARW V2.2, was used for all model analyses [see Skamarock et al., 2007 ].”
MethodInfluentialWater and energy budgets of hurricanes and implications for climate change
Trenberth, K. E., & Fasullo, J. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jd008304 · Cited by 91
“In this paper we make use of the control run simulation results of Trenberth et al. [2007] for Katrina in August 2005 made with the high-resolution (4 km) Advanced Research Weather and Research Forecasting (WRF) model that avoids the use of parameterized convection.”
InfluentialRicchi, A., Miglietta, M., Falco, P., Benetazzo, A., Bonaldo, D., Bergamasco, A., Sclavo, M., & Carniel, S. (2016) · doi:10.1016/j.atmosres.2015.12.023 · Cited by 84
Sun, J.-Z., Chen, M.-X., & Wang, Y.-C. (2010) · doi:10.1175/2010waf2222336.1 · Cited by 84
“During the Olympics, the MM5 was replaced by the Weather Research and Forecasting (WRF; Skamarock et al. 2005) model with a 3-hourly Rapid Update Cycle and a 1-h forecast interval (BJRUC).”
MethodThe Mesoscale Kinetic Energy Spectrum of a Baroclinic Life Cycle
Waite, M. L., & Snyder, C. (2009) · doi:10.1175/2008jas2829.1 · Cited by 84
Performance Characteristics of a Pseudo-Operational Ensemble Kalman Filter
Torn, R., & Hakim, G. (2008) · doi:10.1175/2008mwr2443.1 · Cited by 84
“1 of the Advanced Research version (ARW) of Weather Research and Forecasting (WRF), a nonhydrostatic primitive equation mesoscale model (Skamarock et al. 2005), on a numerical grid with 45km horizontal grid spacing and 33 vertical levels.”
BackgroundMethodInfluentialEffects of obliquity and water vapor/trace gas greenhouses in the early martian climate
Mischna, M. A., Baker, V., Milliken, R., Richardson, M., & Lee, C. (2013) · Journal of Geophysical Research: Planets · doi:10.1002/jgre.20054 · Cited by 84
“…the Mars Weather Research and Forecasting (MarsWRF) GCM. MarsWRF is a global model derived from the terrestrial mesoscale WRF model [Michalakes et al., 2004; Skamarock et al., 2005; Skamarock and Klemp, 2008] and is a Mars-specific implementation of the PlanetWRF GCM [Richardson et al., 2007].”
MethodHigh-resolution simulation of heatwave events in New York City
Ramamurthy, P., Li, D., & Bou-Zeid, E. (2017) · Theoretical and Applied Climatology · doi:10.1007/s00704-015-1703-8 · Cited by 83
Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones
Xu, D.-M., Liu, Z.-Q., Huang, X.-Y., Min, J., & Wang, H. (2013) · Meteorology and atmospheric physics (Print) · doi:10.1007/s00703-013-0276-2 · Cited by 83
“Note that the WRF model does not predict O3 (Skamarock et al. 2008), thus no O3 profiles were used in CRTM in the above calculations.”
MethodCan a Regional Climate Model Improve the Ability to Forecast the North American Monsoon
Castro, C., Chang, H.-I., Dominguez, F., Carrillo, C., Schemm, J., & Juang, H. (2012) · doi:10.1175/jcli-d-11-00441.1 · Cited by 83
“a. Regional climate model with spectral nudging TheRCM that used is theAdvancedResearch version of the Weather Research and Forecasting model (ARWWRF, hereafter WRF), version 3.1 (Skamarock et al. 2005).”
MethodInfluentialLarsén, X., Ott, S., Badger, J., Hahmann, A., & Mann, J. (2012) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-11-090.1 · Cited by 83
Evaluating climate change over the Colorado River basin using regional climate models
Gao, Y.-H., Vano, J., Zhu, C., & Lettenmaier, D. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jd015278 · Cited by 83
“…Model (CRCM; Laprise et al., 1998), the NCEP Experimental Climate Prediction Center Regional Spectral Model (ECPC RSM; Juang et al., 1997), the MM5- PSU/NCAR mesoscale model (MM5; Grell et al. 1993), and the Weather Research and Forecasting model (WRF; Skamarock et al., 2005; Leung et al., 2005).”
BackgroundRivera, C., Sosa, G., Wöhrnschimmel, H., de Foy, B., Johansson, M., & Galle, B. (2009) · doi:10.5194/acp-9-6351-2009 · Cited by 83
“The mesoscale meteorology was simulated with the Weather Research and Forecast (WRF) model version 3.0.1 (Skamarock et al., 2005).”
MethodInfluentialMatsui, H., Koike, M., Kondo, Y., Takegawa, N., Kita, K., Miyazaki, Y., Hu, M., Chang, S.-Y., Blake, D., Fast, J., et al. (2009) · Journal of Geophysical Research · doi:10.1029/2008jd010906 · Cited by 83
Banks, R., Tiana-Alsina, J., Rocadenbosch, F., & Baldasano, J. (2015) · Boundary-layer Meteorology · doi:10.1007/s10546-015-0056-2 · Cited by 82
“PBL parametrization schemes are employed in atmospheric models to handle the vertical diffusion in the whole column of the boundary layer (Skamarock et al. 2008), while surface-layer and land-surface schemes provide the surfacefluxes needed for PBL schemes to determine theflux profiles within the well-mixed boundary l…”
MethodKondo, Y., Oshima, N., Kajino, M., Mikami, R., Moteki, N., Takegawa, N., Verma, R. L., Kajii, Y., Kato, S., & Takami, A. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2011jd015637 · Cited by 80
Zhang, J.-Y., Wang, W.-C., & Leung, L. R. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jd010136 · Cited by 82
Self-citationGonçalves, M., Jiménez-Guerrero, P., & Baldasano, J. (2008) · doi:10.5194/acp-9-849-2009 · Cited by 82
“The Weather Research and Forecasting (WRF) Model (Michalakes et al., 2004; Skamarock et al., 2005) provides the meteorology parameters as inputs to CMAQ.”
MethodComparative study of PV power forecast using parametric and nonparametric PV models
Almeida, M. P., Muñoz, M., de la Parra, Í., & Perpiñán, O. (2017) · Solar Energy · doi:10.1016/j.solener.2017.07.032 · Cited by 81
“It regularly publishes results from a regional mesoscale1 NWP model, namely Weather Research and Forecasting (WRF) (Skamarock et al., 2005), freely at its THREDDS server2.”
BackgroundTornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity
Clark, A. J., Gao, J.-D., Marsh, P. T., Smith, T. M., Kain, J., Correia, J., Xue, M., & Kong, F. (2013) · Weather and Forecasting · doi:10.1175/waf-d-12-00038.1 · Cited by 81
Spatio-temporal prediction of site index based on forest inventories and climate change scenarios
Nothdurft, A., Wolf, T., Ringeler, A., Böhner, J., & Saborowski, J. (2012) · Forest Ecology and Management · doi:10.1016/j.foreco.2012.05.018 · Cited by 81
Application of the WRF Hybrid ETKF–3DVAR Data Assimilation System for Hurricane Track Forecasts
Wang, X.-G. (2011) · doi:10.1175/waf-d-10-05058.1 · Cited by 81
Bukovsky, M., & Karoly, D. (2011) · Journal of Climate · doi:10.1175/2010jcli3447.1 · Cited by 81
The WRF Model Forecast-Derived Low-Level Wind Shear Climatology over the United States Great Plains
Storm, B., & Basu, S. (2010) · doi:10.3390/en3020258 · Cited by 81
“In this work, we generated high-resolution shear climatologies utilizing a state-of-the-art NWP model, known as the WRF model [16].”
MethodImpacts of aerosols on the development and precipitation of a mesoscale squall line
Li, G., Wang, Y., Lee, K., Diao, Y., & Zhang, R. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jd011581 · Cited by 82
Water and energy budgets of hurricanes: Case studies of Ivan and Katrina
Trenberth, K. E., Davis, C. A., & Fasullo, J. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jd008303 · Cited by 86
“This version of WRF avoids the use of a cumulus parameterization by using the 4-km grid and treating deep convection and precipitation formation explicitly using a simple cloud scheme in which cloud water, rain and snow were predicted variables.”
MethodInfluentialEnsemble Kalman Filter Assimilation of Fixed Screen-Height Observations in a Parameterized PBL
Hacker, J. P., & Snyder, C. (2005) · Monthly Weather Review · doi:10.1175/mwr3022.1 · Cited by 74
“Whitaker and Hamill (2002), Mitchell et al. (2002), and Snyder and Zhang (2003) implemented it with more complex primitive equation models.”
BackgroundUrban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
Sun, Y., Zhang, N., Miao, S., Kong, F.-H., Zhang, Y.-Z., & Li, N.-N. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002382 · Cited by 80
“The Weather Research and Forecasting (WRF) model developed by NCEP and NCAR is the most commonly used mesoscale numerical model that has been widely employed in simulations of urban meteorological environments (Grimmond et al., 2010; Millstein & Menon, 2011; Skamarock et al., 2005; Susca et al., 2011).”
MethodFast and accurate learned multiresolution dynamical downscaling for precipitation
Wang, J., Liu, Z., Foster, I. T., Chang, W., Kettimuthu, R., & Kotamarthi, V. R. (2021) · Geoscientific model development · doi:10.5194/gmd-14-6355-2021 · Cited by 80
“To compare the performance of our proposed learned multiresolution dynamical downscaling approach with that of the state-of-the-art SR technique, we develop an SR model based on the original 12 km WRF modeled precipitation and an upscaled 12 km-to-50 km dataset.”
BackgroundInfluentialHow Will Air Quality Change in South Asia by 2050?
Kumar, R., Barth, M. C., Pfister, G. G., Monache, L. D., Lamarque, J., Archer‐Nicholls, S., Tilmes, S., Ghude, S. D., Wiedinmyer, C., Naja, M., et al. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027357 · Cited by 103
Multi-scale modelling to evaluate building energy consumption at the neighbourhood scale
Mauree, D., Coccolo, S., Kaempf, J., & Scartezzini, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183437 · Cited by 80
Angot, H., Dastoor, A., Simone, F. D., Gårdfeldt, K., Gencarelli, C., Hedgecock, I., Langer, S., Magand, O., Mastromonaco, M. N., Nørdstrom, C., et al. (2016) · doi:10.5194/acp-16-10735-2016 · Cited by 80
“The atmospheric transport of tracers is driven by meteorological fields generated by the Weather Research and Forecast (WRF) modeling system (Skamarock et al., 2007) fed by the operational analysis data from ECMWF.”
MethodPieri, A., von Hardenberg, J., Parodi, A., & Provenzale, A. (2015) · doi:10.1175/jhm-d-14-0221.1 · Cited by 80
“1, which is a nonhydrostatic, compressible, and scalar-conserving state-of-the-art atmospheric model (Skamarock et al. 2005).”
BackgroundMethodInfluentialTrier, S., Davis, C., & Ahijevych, D. (2010) · doi:10.1175/2009jas3247.1 · Cited by 80
Ozone response to emission changes: a modeling study during the MCMA-2006/MILAGRO Campaign
Song, J., Lei, W., Bei, N., Zavala, M., de Foy, B., Volkamer, R., Cárdenas, B., Zheng, J., Zhang, R., & Molina, L. T. (2010) · Atmospheric chemistry and physics · doi:10.5194/acp-10-3827-2010 · Cited by 74
Glider observations of sediment resuspension in a Middle Atlantic Bight fall transition storm
Glenn, S. M., Jones, C. P., Twardowski, M., Bowers, L., Kerfoot, J., Kohut, J., Webb, D., & Schofield, O. (2008) · Limnology and Oceanography · doi:10.4319/lo.2008.53.5_part_2.2180 · Cited by 80
“Weather forecasts using the weather research and forecast model (Skamarock et al. 2005) were generated.”
MethodIncreased sensitivity of tropical cyclogenesis to wind shear in higher SST environments
Nolan, D. S., & Rappin, E. (2008) · Geophysical Research Letters · doi:10.1029/2008gl034147 · Cited by 80
“The Weather Research and Forecast Model (WRF) version 2.1.2 [Skamarock et al., 2005] is used to simulate environments of RCE on the doubly periodic f-plane, with 4 km horizontal grid spacing and 40 vertical levels equally spaced in pressure coordinates.”
MethodInfluentialWehbe, Y., Temimi, M., Weston, M., Chaouch, N., Branch, O., Schwitalla, T., Wulfmeyer, V., Zhan, X., Liu, J., & Mandous, A. A. (2019) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-19-1129-2019 · Cited by 79
“WRF is designed to be a next-generation mesoscale forecast model and data assimilation system for the purpose of advancing the understanding and prediction of mesoscale weather, and accelerating the transfer of research advances into operations (Skamarock et al., 2005).”
Li, H.-X., Chen, H.-P., Wang, H.-J., & Yu, E. (2018) · Science of the Total Environment · doi:10.1016/j.scitotenv.2018.05.324 · Cited by 79
Metadata
- Authors
- Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Barker, D., & Wang, W.
- Venue
- NSF National Center for Atmospheric Research
- Publisher
- NSF National Center for Atmospheric Research
- Published
- 2005
- OpenAlex
- W2152984210
- Cited by
- 2,504
- References
- 0
- Citations by year
- 2026: 9 · 2025: 32 · 2024: 61 · 2023: 76 · 2022: 105 · 2021: 154 · 2020: 129 · 2019: 160 · 2018: 155 · 2017: 118 · 2016: 143 · 2015: 127 · 2014: 123 · 2013: 159 · 2012: 154
- Type
- report
- Language
- en
- Open access
- green
- doi.org
- Locations
- Defense Technical Information Center (DTIC) (submittedVersion)
- UCAR/NCAR
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- numerical weather prediction, regional climate modeling, WRF model, model description
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