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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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VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science
Li, S.-M., Jaroszynski, S., Pearse, S., Orf, L., & Clyne, J. (2019) · Atmosphere · doi:10.3390/atmos10090488 · Cited by 129
“Most notably, VAPOR understands WRF-ARW, MPAS, and CF-compliant NetCDF files.”
MethodZhao, J., Du, W., Zhang, Y.-J., Wang, Q.-Q., Chen, C., Xu, W.-Q., Han, T., Wang, Y.-Y., Fu, P., Wang, Z.-F., et al. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-17-3215-2017 · Cited by 129
“In this study, the meteorological filed was simulated by the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) with a time resolution of 1 h and spatial resolution of 10 km.”
MethodModelling smoke transport from wildland fires: a review
Goodrick, S. L., Achtemeier, G. L., Larkin, N. K., Liu, Y., & Strand, T. (2012) · International Journal of Wildland Fire · doi:10.1071/wf11116 · Cited by 130
“Another grid model receiving attention for wildland fire related air quality issues is the chemistry version of theWeather Research and Forecasting Model, WRF-Chem (Skamarock et al. 2005; Grell et al. 2005).”
BackgroundThe role of a peri-urban forest on air quality improvement in the Mexico City megalopolis.
Baumgardner, D., Varela, S., Escobedo, F., Chacalo, A., & Ochoa, C. (2012) · Environmental Pollution · doi:10.1016/j.envpol.2011.12.016 · Cited by 129
Sun, J.-H., & Zhang, F.-Q. (2012) · doi:10.1175/mwr-d-11-00041.1 · Cited by 129
“The advanced research core of the Weather Research and Forecasting (WRF) model, version 3.2 (Skamarock et al. 2005) is used for this study.”
MethodInfluentialAn Immersed Boundary Method for the Weather Research and Forecasting Model
Lundquist, K., Chow, F., & Lundquist, J. (2010) · doi:10.1175/2009mwr2990.1 · Cited by 129
“This work uses the Advanced Research WRF (ARW) model dynamics solver, which is a conservative finite-difference model that solves the nonhydrostatic compressible Navier–Stokes equations (Skamarock et al. 2007).”
BackgroundMethodResultKhain, A. P., & Lynn, B. H. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd011827 · Cited by 127
The Impact of Dropwindsonde Data on Typhoon Track Forecasts in DOTSTAR
Wu, C.-C., Chou, K.-H., Lin, P., Aberson, S., Peng, M., & Nakazawa, T. (2007) · doi:10.1175/2007waf2006062.1 · Cited by 129
“It features multiple dynamical cores, a 3DVAR data assimilation system, and a software architecture allowing for computational parallelism and system extensibility (Skamarock et al. 2005).”
MethodLiu, B., Liu, H., Xie, L., Guan, C., & Zhao, D.-L. (2011) · doi:10.1175/2010mwr3396.1 · Cited by 129
“More details about the WRF model are referred to Skamarock et al. (2007) and Wang et al. (2007).”
BackgroundMethodReal-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model
Osuri, K., Mohanty, U. C., Routray, A., Mohapatra, M., & Niyogi, D. (2013) · doi:10.1175/jamc-d-12-0313.1 · Cited by 127
Ochoa, A., Pineda, L., Crespo, P., & Willems, P. (2014) · doi:10.5194/hess-18-3179-2014 · Cited by 124
“In a regional atmospheric reanalysis setting, the weather research and forecasting model (WRF, Skamarock et al., 2005) was forced by applying boundary conditions of the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis project (NNRP,…”
MethodChen, H., Zhang, D.-L., Carton, J., & Atlas, R. (2011) · doi:10.1175/waf-d-11-00001.1 · Cited by 124
Upstream urbanization exacerbates urban heat island effects
Zhang, D.-L., Shou, Y.-X., & Dickerson, R. (2009) · doi:10.1029/2009gl041082 · Cited by 124
Changes in hail and flood risk in high-resolution simulations over Colorado's mountains
Mahoney, K. M., Alexander, M., Thompson, G., Barsugli, J., & Scott, J. D. (2012) · Nature Climate Change · doi:10.1038/nclimate1344 · Cited by 123
Aksoy, A., Dowell, D. C., & Snyder, C. (2009) · Monthly Weather Review · doi:10.1175/2009mwr3086.1 · Cited by 129
“The numerical model is version 2.1 of the Advanced Research WRF (Skamarock et al. 2005), which is nonhydrostatic and employs a mass coordinate.”
MethodInfluentialTHE STRATOSPHERE-TROPOSPHERE ANALYSES OF REGIONAL TRANSPORT 2008 EXPERIMENT
Pan, L., Bowman, K., Atlas, E., Wofsy, S., Zhang, F.-Q., Bresch, J., Ridley, B., Pittman, J., Homeyer, C., Romashkin, P., et al. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2009bams2865.1 · Cited by 123
“The flight tracks followed regions where gravity wave generation was predicted by the real-time mesoscale analysis and forecast system using the Advanced Research WRF model (Skamarock et al. 2005) and an ensemble-based multiphysics data assimilation (Meng and Zhang et al. 2008a,b; Fig.”
MethodEvaluation of WRF and HadRM Mesoscale Climate Simulations over the U.S. Pacific Northwest
Zhang, Y.-X., Dulière, V., Mote, P., & Salathe, E. (2009) · doi:10.1175/2009jcli2875.1 · Cited by 123
Zhang, M., & Zhang, F. (2011) · Monthly Weather Review · doi:10.1175/mwr-d-11-00023.1 · Cited by 118
“…realistic observation studies, ranging from convective to global scales with different NWP models: (i) for local storms, the EnKF was widely used by Snyder and Zhang (2003), Zhang et al. (2004), Dowell et al. (2004), and Tong and Xue (2005), while Sun and Crook (1997), Guo et al. (2000), and…”
BackgroundMethodProjected Changes in East African Rainy Seasons
Cook, K. H., & Vizy, E. K. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00455.1 · Cited by 121
“The National Oceanic and Atmospheric Administration (NOAA)/National Center for Atmospheric Research (NCAR) Weather Research and Forecasting (WRF; Skamarock et al. 2005) regional model, version 3.1.1, is used with 32 vertical levels, 90-km horizontal resolution, and a time step of 3 min.”
BackgroundInfluentialde Foy, B., Krotkov, N., Bei, N., Herndon, S., Huey, L., Martinez, A., Ruiz-Suárez, L., Wood, E., Zavala, M., & Molina, L. (2009) · doi:10.5194/acp-9-9599-2009 · Cited by 121
“Figures4 and 5 show the total planetary boundary layer columns of SO2 measured by the OMI sensor as well as columns simulated by CAMx for all sources (urban, Tula and Popocatepetl) for eight days during the campaign.”
MethodInfluentialCoupling between Sea Surface Temperature and Low-Level Winds in Mesoscale Numerical Models
Song, Q.-T., Chelton, D., Esbensen, S., Thum, N., & O'Neill, L. (2009) · doi:10.1175/2008jcli2488.1 · Cited by 121
Mori, N., & Takemi, T. (2015) · Weather and Climate Extremes · doi:10.1016/j.wace.2015.09.002 · Cited by 132
Zambon, J., He, R., & Warner, J. (2014) · Deutsche Hydrographische Zeitschrift · doi:10.1007/s10236-014-0777-7 · Cited by 120
The Impact of Positive-Definite Moisture Transport on NWP Precipitation Forecasts
Skamarock, W., & Weisman, M. (2009) · doi:10.1175/2008mwr2583.1 · Cited by 120
“This case is also discussed in Weisman et al. (2008), where it is shown that the forecast was relatively insensitive to variations in model physics and initialization procedures.”
ResultSelf-citationImpact of climate change and El Niño episodes on droughts in sub-Saharan Africa
Gizaw, M. S., & Gan, T. Y. (2016) · Climate Dynamics · doi:10.1007/s00382-016-3366-2 · Cited by 150
“2004) and the Weather Research and Forecasting model (WRF) (Warner 2011; Skamarock et al. 2005) that could provide reliable seasonal weather forecasts.”
MethodSupari, S., Tangang, F., Juneng, L., Cruz, F. A. T., Chung, J. X., Ngai, S. T., Salimun, E., Mohd, M. S. F., Santisirisomboon, J., Singhruck, P., et al. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109350 · Cited by 150
Xue, M., Luo, X., Zhu, K.-F., Sun, Z.-Q., & Fei, J.-F. (2018) · doi:10.1029/2018jd028368 · Cited by 118
“Numerical Model Configurations The primary model data set used in this study is from experimental real-time WRF-ARW model (Powers et al., 2017; Skamarock et al., 2005) forecasts that cover the entire continental China.”
MethodThe PreVOCA experiment: Modeling the Lower Troposphere in the Southeast Pacific
Wyant, M., Wood, R., Bretherton, C., Mechoso, C., Bacmeister, J., Balmaseda, M., Barrett, B., Codron, F., Earnshaw, P., Fast, J., et al. (2009) · Atmospheric chemistry and physics · doi:10.5194/acp-10-4757-2010 · Cited by 118
“The University of Chile runs use the WRF model (Skamarock et al., 2005), version 2.2 run continuously over October 2006 with NCEP/NCAR reanalysis for initial and lateral boundary conditions.”
MethodInfluentialContinuous Single-Column Model Evaluation at a Permanent Meteorological Supersite
Neggers, R. A. J., Siebesma, A. P., & Heus, T. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00162.1 · Cited by 117
“…model of the Max Planck Institute for Meteorology in Hamburg (Roeckner et al. 2003), the Hirlam Aladdin Research for Mesoscale Operational NWP in Europe (HARMONIE) mesoscale weather prediction model (http://hirlam.org/), and the Weather Research and Forecasting Model (WRF; Skamarock et al. 2005).”
MethodZhang, Y.-H., Xue, M., Zhu, K.-F., & Zhou, B.-W. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2018jd029834 · Cited by 117
“The model data set is from real‐time forecasts produced at Nanjing University using the Advanced Research Weather Research and Forecast (WRF‐ARW) model (Skamarock et al., 2005), which covers the entire mainland China. The model was run at a 4‐km grid spacing during June through August since 2013 at Nanjing University,…”
MethodInfluentialFountoukis, C., Racherla, P., van der Gon, H. D., Polymeneas, P., Charalampidis, P., Pilinis, C., Wiedensohler, A., Dall'Osto, M., O'Dowd, C., & Pandis, S. (2011) · Atmospheric chemistry and physics · doi:10.5194/acp-11-10331-2011 · Cited by 116
Raju, P. V. S., Potty, J., & Mohanty, U. C. (2011) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-011-0151-y · Cited by 117
“The WRF model is a non-hydrostatic mesoscale model designed for simulation and prediction of fine-scale atmospheric phenomena, emphasizing horizontal grid lengths of a few kilometers or less (Michalakes et al. 2005; Skamarock et al. 2005 ).”
MethodSouri, A., Nowlan, C., Wolfe, G., Lamsal, L., Miller, C. E. C., Abad, G. G., Janz, S., Fried, A., Blake, D., Weinheimer, A., et al. (2020) · doi:10.1016/j.atmosenv.2020.117341 · Cited by 115
Estimation of total lightning from various storm parameters: A cloud-resolving model study
Barthe, C., Deierling, W., & Barth, M. (2010) · doi:10.1029/2010jd014405 · Cited by 115
“The model solves the conservative (flux‐form), nonhydrostatic compressible equations using a split‐explicit time‐integration method on the basis of a third‐order Runge‐Kutta scheme [ Skamarock et al., 2005; Wicker and Skamarock, 2002].”
InfluentialBhaskaran, P., Nayak, S., Bonthu, S., Murty, P. L. N., & Sen, D. (2013) · Environmental Fluid Mechanics · doi:10.1007/s10652-013-9284-5 · Cited by 114
“The present version of WRF [42] is portable in a parallel computing environment.”
MethodGenesis of Pre–Hurricane Felix (2007). Part I: The Role of the Easterly Wave Critical Layer
Wang, Z., Montgomery, M., & Dunkerton, T. (2010) · Journal of the Atmospheric Sciences · doi:10.1175/2009jas3420.1 · Cited by 114
“a. WRF model The mesoscale model used in this study is the Weather Research and Forecasting (WRF) model version 3.0 (Skamarock et al. 2005).”
MethodInfluentialTornado maintenance investigated with high-resolution Dual-Doppler and EnKF analysis
Marquis, J. N., Richardson, Y. P., Markowski, P., Dowell, D., & Wurman, J. (2012) · Monthly Weather Review · doi:10.1175/mwr-d-11-00025.1 · Cited by 114
“The Advanced Research Weather Research and Forecasting model (WRF-ARW; Skamarock et al. 2005) is used to perform the numerical simulation of each of the 50 ensemble members.”
MethodImpact of climate change on mid-twenty-first century growing seasons in Africa
Cook, K. H., & Vizy, E. K. (2012) · Climate Dynamics · doi:10.1007/s00382-012-1324-1 · Cited by 107
“The NCAR/NOAA Weather Research and Forecasting (WRF; Skamarock et al. 2005) regional model V3.”
Foehn Winds in the McMurdo Dry Valleys, Antarctica: The Origin of Extreme Warming Events*
Speirs, J. C., Steinhoff, D., McGowan, H., Bromwich, D., & Monaghan, A. J. (2010) · doi:10.1175/2010jcli3382.1 · Cited by 113
He, X.-D., Li, Y.-H., Wang, X.-R., Chen, L., Yu, B., Zhang, Y.-Z., & Miao, S. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.10.086 · Cited by 112
“WRF is a non-hydrostatic, compressible model with a mass coordinate system in which land surface model (LSM) uses the variables from the atmospheric boundary layer, radiation, cloud microphysics and convective schemes, and the input parameters including the major information about land-surface properties, to calculate…”
BackgroundMethodBozkurt, D., Rondanelli, R., Marín, J. C., & Garreaud, R. D. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027796 · Cited by 153
Santanello, J., Peters-Lidard, C., Kennedy, A., & Kumar, S. V. (2013) · doi:10.1175/jhm-d-12-023.1 · Cited by 112
“For this study, NU-WRF has been specified with a 5-s advection time step, Ferrier microphysics, RapidRadiative TransferModel (RRTM; Skamarock et al. 2005) longwave radiation, Goddard shortwave radiation, and the Monin–Obukhov surface layer scheme.”
MethodAllen, D., Pickering, K., Pinder, R., Henderson, B., Appel, K., & Prados, A. (2012) · doi:10.5194/acp-12-1737-2012 · Cited by 112
“When the averaging period is increased to one day, more than 90 % of the strikes occur in WRF grid boxes with convective precipitation (not shown).”
MethodInfluentialZhang, D.-L., Shou, Y.-X., Dickerson, R., & Chen, F. (2011) · doi:10.1175/jamc-d-10-05008.1 · Cited by 112
“2) model (see Skamarock et al. 2005), coupled with a single-layer urban canopy model (UCM) (see Kusaka et al. 2001; Chen et al. 2004, 2010).”
MethodMohanty, U. C., Osuri, K., Routray, A., Mohapatra, M., & Pattanayak, S. (2010) · doi:10.1080/01490419.2010.518061 · Cited by 112
Kain, J., Dembek, S., Weiss, S., Case, J., Levit, J., & Sobash, R. (2010) · Weather and Forecasting · doi:10.1175/2010waf2222430.1 · Cited by 112
“This study was conducted using the Weather Research and Forecasting Model (WRF; Skamarock et al. 2005) as part of a collaborative effort between the National Severe Storms Laboratory (NSSL) and the Storm Prediction Center (SPC), hence its focus on severe convective weather.”
MethodNew York City's Vulnerability to Coastal Flooding
Colle, B., Buonaiuto, F., Bowman, M., Wilson, R. E., Flood, R., Hunter, R., Mintz, A., & Hill, D. (2008) · doi:10.1175/2007bams2401.1 · Cited by 111
Cloud-scale model intercomparison of chemical constituent transport in deep convection
Barth, M., Kim, S.-W., Wang, C., Pickering, K., Ott, L., Stenchikov, G., Leriche, M., Cautenet, S., Pinty, J., Barthe, C., et al. (2007) · doi:10.5194/acp-7-4709-2007 · Cited by 111
“Skamarock et al. (2003) analyzed the UND Citation aircraft data taken across the 20 anvil of the storm.”
BackgroundMethodInfluentialHeaviside, C., Cai, X. M., & Vardoulakis, S. (2014) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2452 · Cited by 107
Gu, Y., Liou, K., Ou, S., & Fovell, R. (2011) · doi:10.1029/2010jd014574 · Cited by 110
“[7] The WRF model version 2.2 [Skamarock et al., 2005] is a fully compressible, nonhydrostatic model (with a hydrostatic option) suitable for a broad spectrum of applications across scales ranging from a few meters to thousands of kilometers.”
InfluentialModeling Extreme Rainfall, Winds, and Surge from Hurricane Isabel (2003)
Lin, N., Smith, J. A., Villarini, G., Marchok, T., & Baeck, M. (2010) · doi:10.1175/2010waf2222349.1 · Cited by 110
Thermodynamic Aspects of Tropical Cyclone Formation
Wang, Z. (2012) · doi:10.1175/jas-d-11-0298.1 · Cited by 109
“The formation of Felix within the wave critical layer and the evolution of convective and stratiform precipitation were examined by Wang et al. (2010a,b) in the numerical simulations using the Weather Research and Forecasting (WRF) Model (Skamarock et al. 2005).”
MethodInfluentialA model for wet aggregation of ash particles in volcanic plumes and clouds: 2. Model application
Folch, A., Costa, A., Durant, A., & Macedonio, G. (2010) · doi:10.1029/2009jb007176 · Cited by 109
“The model was configured to integrate the primitive equations using the Advanced Research WRF (ARW) dynamics solver [ Skamarock et al., 2005 ] in a high‐resolution nested domain.”
Sharp, E., Dodds, P., Barrett, M., & Spataru, C. (2015) · Renewable Energy · doi:10.1016/j.renene.2014.12.025 · Cited by 108
“[42] 220 MIDAS stations 0.”
Wave-current interaction: Effect on the wave field in a semi-enclosed basin
Benetazzo, A., Carniel, S., Sclavo, M., & Bergamasco, A. (2013) · doi:10.1016/j.ocemod.2012.12.009 · Cited by 108
“(2010) developed and applied to a hurricane scenario the same 3-D COAWST system used in this study, forced with the atmosphere Weather Research and Forecasting model (Skamarock et al., 2005).”
MethodWeverberg, K. V., Vogelmann, A., Lin, W., Luke, E., Cialella, A., Minnis, P., Khaiyer, M., Boer, E. R., & Jensen, M. (2013) · doi:10.1175/jas-d-12-0104.1 · Cited by 108
“a. Model description TheCRMused in this study is theAdvancedResearch Weather Research and Forecasting model (ARW-WRF), version 3.3.1 (Skamarock et al. 2007), which is a threedimensional, fully compressible, nonhydrostatic CRM.”
InfluentialWang, Z.-H., Bou-Zeid, E., Au, S., & Smith, J. A. (2011) · doi:10.1175/2011jamc2685.1 · Cited by 108
“The urban canopy scheme has been adopted in the widely used Weather Research and Forecasting (WRF) model (Skamarock et al. 2005; Chen et al. 2011) and tested extensively against field measurements (e.g., Hamdi and Schayes 2007; Lemonsu et al. 2009; Grimmond et al. 2010, 2011).”
MethodA review of a new generation of wildfire–atmosphere modeling
Bakhshaii, A., & Johnson, E. (2019) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2018-0138 · Cited by 107
“The outline of turbulent mixing parameterizations and other numerical 398 filters is available in the ARW technical note (Skamarock et al., 2008).”
MethodSun, Y.-L., Jiang, Q., Xu, Y., Ma, Y., Zhang, Y.-J., Liu, X.-G., Li, W.-J., Wang, F., Li, J., Wang, P.-C., et al. (2016) · doi:10.1002/2015jd024261 · Cited by 107
“The footprint regions of the sampling site were determined by 2 day backward simulations of particles dispersion based on the Lagrangian particle dispersion model FLEXPART [Stohl et al., 2005] coupled with the Weather Research and Forecasting (WRF) model [Skamarock et al., 2005].”
MethodAssessing the Impacts of Different WRF Precipitation Physics in Hurricane Simulations
Nasrollahi, N., Aghakouchak, A., Li, J., Gao, X.-G., Hsu, K., & Sorooshian, S. (2012) · doi:10.1175/waf-d-10-05000.1 · Cited by 107
Jacobson, M. Z., Kaufman, Y. J., & Rudich, Y. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2007jd008922 · Cited by 113
“D models have treated the evolution of bulk (non-sizeresolved) cloud liquid and ice [e.g., Klemp and Wilhelmson, 1978; Clark, 1979; Proctor, 1989; Wang and Chang, 1993; Skamarock et al., 1994; 2005; Lee and Park, 1994; Chen and Lamb, 1999; Walko et al., 1995; Molders and Olson, 2004].”
BackgroundPetascale Computing: Algorithms and Applications
Bader, D. A. (2007) · Chapman & Hall/CRC eBooks · doi:10.1201/9781584889106 · Cited by 107
Puysségur, B., Michel, R., & Avouac, J. (2007) · doi:10.1029/2006jb004352 · Cited by 107
“[33] Estimate of W should benefit from enhanced radiometric measurements and meteorological models, including the newly released Weather Research and Forecasting Model (WRF) [Skamarock et al., 2005].”
Rahn, D. A., & Garreaud, R. (2009) · Atmospheric chemistry and physics · doi:10.5194/acp-10-4491-2010 · Cited by 106
On-line economic optimization of energy systems using weather forecast information
Zavala, V. M., Constantinescu, E. M., Krause, T. R., & Anitescu, M. (2009) · Journal of Process Control · doi:10.1016/j.jprocont.2009.07.004 · Cited by 91
“The Weather Research and Forecasting (WRF) model is a state-of-the-art mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs [49].”
BackgroundImpact of cloud microphysics on hurricane track forecasts
Fovell, R., & Su, H. (2007) · doi:10.1029/2007gl031723 · Cited by 106
Particle number concentrations over Europe in 2030: the role of emissions and new particle formation
Ahlm, L., Julin, J., Fountoukis, C., Pandis, S., & Riipinen, I. (2013) · doi:10.5194/acp-13-10271-2013 · Cited by 105
“WRF is driven by static geographical data and dynamic meteorological data, including 27 sigma-p layers up to 0.1 bars in the vertical dimension.”
InfluentialImpact of realistic hourly emissions profiles on air pollutants concentrations modelled with CHIMERE
Menut, L., Goussebaile, A., Bessagnet, B., Khvorostiyanov, D., & Ung, A. (2012) · doi:10.1016/j.atmosenv.2011.11.057 · Cited by 105
“1: the meteorological domain for WRF covers almost the whole Europe and includes the CHIMERE domain.”
MethodInfluentialPagowski, M., Grell, G., Mckeen, S., Peckham, S., & Dévényi, D. (2010) · doi:10.1002/qj.700 · Cited by 105
Tewari, M., Kusaka, H., Chen, F., Coirier, W., Kim, S., Wyszogrodzki, A., & Warner, T. (2010) · doi:10.1016/j.atmosres.2010.01.006 · Cited by 105
“0, Skamarock et al., 2005) released in May 2004.”
BackgroundLoridan, T., Grimmond, C., Grossman‐Clarke, S., Chen, F., Tewari, M., Manning, K. W., Martilli, A., Kusaka, H., & Best, M. (2010) · doi:10.1002/qj.614 · Cited by 105
“The methodology is applied to the single-layer urban canopy parametrization (Kusaka et al. , 2001) implemented in the WRF model (Skamarock et al. , 2005), using hourly data from a measurement cam-paign in Marseille (Grimmond et al. , 2004; Lemonsu et al. , 2004).”
Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area
Jiang, X.-Y., Wiedinmyer, C., Chen, F., Yang, Z.-L., & Lo, J. (2008) · doi:10.1029/2008jd009820 · Cited by 105
“[7] The physically based Weather Research and Forecasting Model [Skamarock et al., 2005] with Chemistry (WRF/ Chem) is a new-generation atmosphere-chemistry model developed collaboratively among several groups including the National Center for Atmospheric Research (NCAR) and the National Oceanic…”
BackgroundA Multimodel Assessment of RKW Theory’s Relevance to Squall-Line Characteristics
Bryan, G., Knievel, J., & Parker, M. (2006) · doi:10.1175/mwr3226.1 · Cited by 105
“The third numerical model is version 2.0.3.1 of the Advanced Research core of the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005).”
MethodInfluentialWang, J., Huang, B., Fu, D., Atkinson, P. M., & Zhang, X. (2016) · Applied Geography · doi:10.1016/j.apgeog.2016.02.010 · Cited by 115
Recent Trends in Variable Generation Forecasting and Its Value to the Power System
Orwig, K., Ahlstrom, M., Banunarayanan, V., Sharp, J., Wilczak, J., Freedman, J., Haupt, S., Cline, J., Bartholomy, O., Hamann, H., et al. (2015) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2014.2366118 · Cited by 104
Characteristics of gravity waves resolved by ECMWF
Preusse, P., Ern, M., Bechtold, P., Eckermann, S., Kalisch, S., Trinh, Q., & Riese, M. (2014) · doi:10.5194/acp-14-10483-2014 · Cited by 104
“This differs from e.g., the typhoon simulations of Kim et al. (2009) using the WRF model (Skamarock et al., 2005).”
MethodAre global wind power resource estimates overstated?
Adams, A., & Keith, D. W. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/1/015021 · Cited by 104
A Dynamical Initialization Scheme for Real-Time Forecasts of Tropical Cyclones Using the WRF Model
Cha, D., & Wang, Y.-Q. (2012) · doi:10.1175/mwr-d-12-00077.1 · Cited by 103
Possible Aerosol Effects on Lightning Activity and Structure of Hurricanes
Khain, A. P., Cohen, N. Y., Lynn, B. H., & Pokrovsky, A. (2008) · Journal of the Atmospheric Sciences · doi:10.1175/2008jas2678.1 · Cited by 108
Eichelmann, E., Hemes, K., Knox, S., Oikawa, P., Chamberlain, S., Sturtevant, C., Verfaillie, J., & Baldocchi, D. (2018) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2018.03.007 · Cited by 102
Impact of surface roughness and soil texture on mineral dust emission fluxes modeling
Menut, L., García-Pando, C. P., Haustein, K., Bessagnet, B., Prigent, C., & Alfaro, S. (2013) · doi:10.1002/jgrd.50313 · Cited by 101
Nolan, D. S., Atlas, R., Bhatia, K., & Bucci, L. (2013) · doi:10.1002/jame.20031 · Cited by 101
The effects of aerosols on intense convective precipitation in the northeastern United States
Ntelekos, A. A., Smith, J. A., Donner, L. J., Fast, J. D., Gustafson, W. I., Chapman, E. G., & Krajewski, W. F. (2009) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.476 · Cited by 92
“The model is able to satisfactorily conserve mass and scalar quantities with the use of a positive-definite advection scheme (PD Advection; Skamarock et al., 2005).”
MethodBow Echo Mesovortices. Part I: Processes That Influence Their Damaging Potential
Atkins, N. T., & Laurent, M. S. (2009) · doi:10.1175/2008mwr2649.1 · Cited by 101
“All simulations presented herein were carried out with the Advanced Research Weather Research and Forecasting (ARW-WRF) model (Skamarock et al. 2005).”
MethodConsistent Response of Indian Summer Monsoon to Middle East Dust in Observations and Simulations
Jin, Q., Wei, J.-F., Yang, Z.-L., Pu, B., & Huang, J. (2015) · doi:10.5194/acp-15-9897-2015 · Cited by 100
Impact of Irrigation Methods on Land Surface Model Spinup and Initialization of WRF Forecasts
Lawston, P. M., Santanello, J., Zaitchik, B., & Rodell, M. (2015) · Journal of Hydrometeorology · doi:10.1175/jhm-d-14-0203.1 · Cited by 100
“Similarly, in a study using the Regional Atmospheric Modeling System (RAMS), Adegoke et al. (2007) found irrigation increased latent heat flux by 36% in Nebraska, decreasing temperatures by 1.28C and increasing dewpoints by 2.38C.”
MethodInfluentialDewitte, B., Vázquez, J., Goubanova, K., Illig, S., Takahashi, K. I., Cambon, G., Purca, S., Correa, D., Gutiérrez, D., Sifeddine, A., et al. (2012) · Deep Sea Research Part II Topical Studies in Oceanography · doi:10.1016/j.dsr2.2012.04.011 · Cited by 120
Dynamical Analysis of the Boundary Layer and Surface Wind Responses to Mesoscale SST Perturbations
O'Neill, L., Esbensen, S., Thum, N., Samelson, R., & Chelton, D. (2010) · doi:10.1175/2009jcli2662.1 · Cited by 100
“a. Model description The WRF atmospheric mesoscale modeling system (Skamarock et al. 2005) is utilized to simulate the MABL response to mesoscale SST perturbations over the Agulhas Return Current.”
MethodBae, C., Kim, B.-U., Kim, H. C., Yoo, C., & Kim, S. (2019) · Atmosphere · doi:10.3390/atmos11010048 · Cited by 99
“WRF Description Version 3.4.1 Initial field FNL Planetary boundary layer scheme YSU Microphysics WSM6 Land surface model scheme NOAH Short wave radiation NASA Goddard Emission input data were divided into South Korea and Northeast Asia.”
MethodInfluentialTravnikov, O., Angot, H., Artaxo, P., Bencardino, M., Bieser, J., D'Amore, F., Dastoor, A., Simone, F. D., Diéguez, M. D. C., Dommergue, A., et al. (2016) · doi:10.5194/acp-17-5271-2017 · Cited by 99
“Atmospheric transport of the tracers is driven by meteorological fields generated by the Weather Research and Forecast modeling system (WRF) (Skamarock et al., 2007) fed by operational analysis data from the European Centre for MediumRange Weather Forecasts (ECMWF) (ECMWF, 2017).”
MethodTorn, R. (2010) · doi:10.1175/2010mwr3361.1 · Cited by 99
“2006), and the similarity theory land surface model (Skamarock et al. 2005) that includes the updated enthalpy and momentum drag formulations described in Davis et al.”
BackgroundThe effect of vertical shear orientation on tropical cyclogenesis
Rappin, E., & Nolan, D. S. (2012) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.977 · Cited by 98
Inertial Particle Dynamics in a Hurricane
Sapsis, T., & Haller, G. (2009) · doi:10.1175/2009jas2865.1 · Cited by 98
“Details for the WRF model can be found in Skamarock et al. (2005).”
Exploring the future change space for fire weather in southeast Australia
Clarke, H., & Evans, J. P. (2019) · Theoretical and Applied Climatology · doi:10.1007/s00704-018-2507-4 · Cited by 98
“Future climate projections used the weather research and forecasting (WRF) modelling system (Skamarock et al. 2005), which has demonstrated skill in simulating southeast Australian fire weather (Clarke et al. 2013b) and climate more generally (Evans and McCabe 2010, 2013).”
MethodKain, J., Xue, M., Coniglio, M., Weiss, S., Kong, F., Jensen, T. L., Brown, B., Gao, J.-D., Brewster, K., Thomas, K., et al. (2010) · doi:10.1175/2010waf2222405.1 · Cited by 97
An Idealized Comparison of One-Way and Two-Way Grid Nesting
Harris, L., & Durran, D. (2010) · doi:10.1175/2010mwr3080.1 · Cited by 97
“The expression in Skamarock et al. (2005) produces a weight of zero for the innermost point of the sponge zone (called the ‘‘relaxation zone’’ in WRF), and so the true width of the sponge zone is one grid point less than that specified by the user.”
BackgroundMethodInfluentialFormation of horizontal convective rolls in urban areas
Miao, S.-G., & Chen, F. (2008) · doi:10.1016/j.atmosres.2008.02.013 · Cited by 97
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96
“(2012a) developed a GOSSYM-based, geographically distributed cotton growth model that has been coupled with the ClimateWeather Research Forecasting Model (Skamarock et al., 2005) for studying the effects of changing climate on cotton production.”
MethodIterative integration of deep learning in hybrid Earth surface system modelling
Chen, M., Qian, Z., Boers, N., Jakeman, A. J., Kettner, A. J., Brandt, M., Kwan, M., Batty, M., Li, W., Zhu, R., et al. (2023) · Nature Reviews Earth & Environment · doi:10.1038/s43017-023-00452-7 · Cited by 116
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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