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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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Clark, A., Kain, J., Marsh, P. T., Correia, J., Xue, M., & Kong, F. (2012) · Weather and Forecasting · doi:10.1175/waf-d-11-00147.1 · Cited by 79
Initial Development and Genesis of Hurricane Dolly (2008)
Fang, J., & Zhang, F.-Q. (2010) · doi:10.1175/2009jas3115.1 · Cited by 79
Kim, S., Chun, H., & Wu, D. L. (2009) · doi:10.1029/2009jd011971 · Cited by 79
Temperature and moist‐stability effects on midlatitude orographic precipitation
Kirshbaum, D. J., & Smith, R. B. (2008) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.274 · Cited by 79
“WRF configuration The numerical experiments conducted herein use the Advanced Weather and Research Forecasting (WRFARW) model version 2.2, which integrates the fully compressible, non-hydrostatic Euler equations (Skamarock et al., 2005).”
BackgroundMethodInfluentialProjected Climate Change Impacts on Hurricane Storm Surge Inundation in the Coastal United States
Camelo, J., Mayo, T., & Gutmann, E. D. (2020) · Frontiers in Built Environment · doi:10.3389/fbuil.2020.588049 · Cited by 98
“The WRF Model is implemented to produce high resolution simulations of hurricanes that impacted the U.S. between October 2000 and September 2013.”
MethodInfluentialChen, X.-T., Kang, S.-C., Cong, Z., Yang, J.-H., & Ma, Y.-M. (2018) · Atmospheric Chemistry and Physics · doi:10.5194/acp-18-12859-2018 · Cited by 78
“In addition, the advanced regional climate-chemistry model, the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005), coupled with chemistry and referred to as WRF-Chem, was successfully applied to air quality research on the TP (Yang et al., 2017, 2018).”
MethodA GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)
Mari, R., Bottai, L., Busillo, C., Calastrini, F., Gozzini, B., & Gualtieri, G. (2011) · doi:10.1016/j.renene.2010.07.005 · Cited by 78
Bodini, N., Lundquist, J., & Newsom, R. (2018) · Atmospheric Measurement Techniques · doi:10.5194/amt-11-4291-2018 · Cited by 77
“, 1994) of the Weather Research and Forecasting model (Skamarock et al., 2005) in a complex terrain region, roughly half of the wind speed variance was due to the accuracy of the parametrization of the turbulence dissipation rate.”
BackgroundChen, L., Zhang, M.-G., Zhu, J., Wang, Y.-W., & Skorokhod, A. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027501 · Cited by 77
Evidence for marine biogenic influence on summertime Arctic aerosol
Willis, M., Köllner, F., Burkart, J., Bozem, H., Thomas, J. L., Schneider, J., Aliabadi, A., Hoor, P., Schulz, H., Herber, A., et al. (2017) · Geophysical Research Letters · doi:10.1002/2017gl073359 · Cited by 77
“FLEXPART-WRF is based on FLEXPART [ Stohl et al. , 2005] and uses the limited area meteorological forecast from WRF [ Skamarock et al. , 2001].”
MethodZhang, J., Cui, M., Hodge, B., Florita, A., & Freedman, J. (2017) · doi:10.1016/j.energy.2017.01.104 · Cited by 77
Mungall, E. L., Croft, B., Lizotte, M., Thomas, J. L., Murphy, J. G., Levasseur, M., Martin, R. V., Wentzell, J. J. B., Liggio, J., & Abbatt, J. P. D. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-6665-2016 · Cited by 92
“The model is driven by meteorology from the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) and was run in backward mode to study the emissions source regions and transport pathways influencing ship-based DMS measurements.”
MethodAn Intercomparison of T-REX Mountain-Wave Simulations and Implications for Mesoscale Predictability
Doyle, J., Gabersek, S., Jiang, Q., Bernardet, L., Brown, J. M., Dörnbrack, A., Filaus, E., Grubišić, V., Kirshbaum, D., Knoth, O., et al. (2011) · doi:10.1175/mwr-d-10-05042.1 · Cited by 77
“…model (DK), the Bryan cloud model (CM1; Bryan and Fritsch 2002), the Eulerian/semi-Lagrangian model (EULAG; Prusa et al. 2008), the Regional Atmospheric Modeling System (RAMS; Pielke et al. 1992), the Met Office Unified Model (UM; Davies et al. 2005), and the WRF-ARW model (Skamarock et al. 2005).”
MethodError characteristics of high resolution regional climate models over the Alpine area
Suklitsch, M., Gobiet, A., Truhetz, H., Awan, N., Göttel, H., & Jacob, D. (2011) · doi:10.1007/s00382-010-0848-5 · Cited by 77
“For details please refer to Skamarock et al (2005) .”
MethodInfluentialHigh-Resolution Initialization and Simulations of Typhoon Morakot (2009)
Nguyen, H. V., & Chen, Y.-L. (2011) · doi:10.1175/2011mwr3505.1 · Cited by 77
Ice nucleating particles in the marine boundary layer in the Canadian Arctic during summer 2014
Irish, V., Hanna, S. J., Willis, M., China, S., Thomas, J. L., Wentzell, J., Ćirišan, A., Si, M., Leaitch, W., Murphy, J., et al. (2018) · Atmospheric Chemistry and Physics · doi:10.5194/acp-19-1027-2019 · Cited by 76
Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand
Chancham, C., Waewsak, J., & Gagnon, Y. (2017) · doi:10.1016/j.energy.2017.08.026 · Cited by 76
Zhu, L., Meng, Z., Zhang, F.-Q., & Markowski, P. M. (2017) · doi:10.5194/acp-17-13213-2017 · Cited by 76
“A series of convection-permitting numerical simulations were performed with the Advanced Research Weather Research and Forecasting (ARW, Skamarock et al., 2008) model version 3.7.1 to investigate dynamical features of the diurnal cycle of precipitation and its physical mechanisms in particular with…”
MethodInfluentialHsu, C.-H., & Cheng, F.-Y. (2016) · doi:10.1016/j.atmosenv.2016.09.001 · Cited by 76
Luo, Y.-L., Wang, Y.-J., Wang, H.-Y., Zheng, Y.-J., & Morrison, H. (2010) · doi:10.1029/2010jd013873 · Cited by 76
Goeckede, M., Michalak, A. M., Vickers, D., Turner, D. P., & Law, B. E. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd012257 · Cited by 79
Hu, X., Zhang, F., & Nielsen‐Gammon, J. W. (2010) · Geophysical Research Letters · doi:10.1029/2010gl043017 · Cited by 83
“[8] The WRF model version 3.0.1 is used in this study [Skamarock et al., 2005].”
MethodInfluentialThe impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations
de Meij, A., Gzella, A., Cuvelier, C., Thunis, P., Bessagnet, B., Vinuesa, J., Menut, L., & Kelder, H. (2009) · doi:10.5194/acp-9-6611-2009 · Cited by 76
A physical model-based method for retrieving urban land surface temperatures under cloudy conditions
Fu, P., Xie, Y., Weng, Q., Myint, S., Meacham-Hensold, K., & Bernacchi, C. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.05.010 · Cited by 75
Li, J., Chen, Y.-B., Wang, H., Qin, J., Li, J., & Chiao, S. (2016) · doi:10.5194/hess-21-1279-2017 · Cited by 75
“…Forecasts (ECMWF) Ensemble Prediction System (EPS) (Molteni et al., 1996; Barnier et al., 1995), the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005, 2008; Maussion et al., 2011), the numerical weather forecast model of the Japan Meteorological Agency (Takenaka et al.,…”
Srivastava, P., Han, D.-W., Rico-Ramírez, M., & Islam, T. (2013) · doi:10.1002/asl2.427 · Cited by 75
Atmospheric composition forecasting in Europe
Menut, L., & Bessagnet, B. (2010) · doi:10.5194/angeo-28-61-2010 · Cited by 75
“In Europe, the MM5 (Grell et al., 1994) and WRF american models (Skamarock et al., 2007) are the most used, recognized for their ease of implementation and change.”
BackgroundMethodDreano, D., Raitsos, D., Gittings, J., Krokos, G., & Hoteit, I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168440 · Cited by 74
Jewtoukoff, V., Plougonven, R., & Hertzog, A. (2013) · doi:10.1002/jgrd.50781 · Cited by 74
Porter, D. F., Cassano, J., & Serreze, M. (2012) · doi:10.1029/2011jd016969 · Cited by 74
Brioude, J., Kim, S.-W., Angevine, W., Frost, G., Lee, S.-H., Mckeen, S., Trainer, M., Fehsenfeld, F., Holloway, J., Ryerson, T., et al. (2011) · doi:10.1029/2011jd016215 · Cited by 74
Impact of tropospheric ozone on the Euro‐Mediterranean vegetation
Anav, A., Menut, L., Khvorostyanov, D., & Viovy, N. (2011) · doi:10.1111/j.1365-2486.2010.02387.x · Cited by 74
Coniglio, M., Elmore, K., Kain, J., Weiss, S., Xue, M., & Weisman, M. (2010) · doi:10.1175/2009waf2222258.1 · Cited by 74
“…years, the primary focus in 2008 was on the examination of convection-allowing configurations of the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005) covering approximately the eastern three-fourths of the conterminous United States (CONUS) in a simulated severe…”
BackgroundPu, Z., Li, X.-L., & Sun, J.-Z. (2009) · doi:10.1175/2009jas3121.1 · Cited by 74
“Details of the model are provided in Skamarock et al. (2005).”
Source of the 2007 Ist meteotsunami (Adriatic Sea)
Šepić, J., Vilibić, I., & Belušić, D. (2009) · doi:10.1029/2008jc005092 · Cited by 74
Mölders, N. (2008) · Weather and Forecasting · doi:10.1175/2008waf2007062.1 · Cited by 74
“Atmospheric boundary layer processes are dealt with by the Yonsei University scheme, a nonlocal K scheme with an explicit entrainment layer and parabolic K profile in the unstable mixed layer; the surfacelayer physics follow Monin–Obukhov similarity theory in conjunction with the Carlson–Boland viscous sublayer ( Skam…”
BackgroundMethodFan, S., Fan, Q., Yu, W., Luo, X.-Y., Wang, B.-M., Song, L. L., & Leong, K. (2011) · doi:10.5194/acpd-11-4807-2011 · Cited by 74
Sun, X.-G., Xue, M., Brotzge, J., Mcpherson, R., Hu, X.-M., & Yang, X.-Q. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2016jd024796 · Cited by 73
“WRF is a fully compressible, nonhydrostatic model with hydrostatic-pressure-based terrain-following vertical coordinates [Skamarock et al., 2005].”
BackgroundBhati, S., & Mohan, M. (2015) · Theoretical and Applied Climatology · doi:10.1007/s00704-015-1589-5 · Cited by 73
Nowlan, C., Liu, X., Leitch, J., Chance, K., Abad, G. G., Liu, C., Zoogman, P., Cole, J., Delker, T., Good, W., et al. (2015) · Atmospheric measurement techniques · doi:10.5194/amt-9-2647-2016 · Cited by 73
“CMAQ used offline meteorology from the Advanced Research Weather Research and Forecasting (WRFARW) model (Skamarock et al., 2008) via the Meteorology– Chemistry Interface Processor (MCIP) (Otte and Pleim, 2010).”
MethodMulti-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data
Gessner, U., Machwitz, M., Esch, T., Tillack, A., Naeimi, V., Kuenzer, C., & Dech, S. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.03.029 · Cited by 73
Scales of perception: public awareness of regional and neighborhood climates
Ruddell, D. M., Harlan, S. L., Grossman‐Clarke, S., & Chowell, G. (2011) · Climatic Change · doi:10.1007/s10584-011-0165-y · Cited by 71
“3.2 Simulated weather conditions To investigate spatial temperature variability within the urban area, we used the Weather Research and Forecast (WRF) model (Skamarock et al. 2005) to simulate local weather conditions.”
MethodInfluentialUotila, P., Vihma, T., Pezza, A., Simmonds, I., Keay, K., & Lynch, A. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jd015358 · Cited by 73
“…model employed was the Polar Mesoscale Model 5 (Polar ‐ MM5) [ Bromwich et al. , 2001; Cassano et al. , 2001] until March 2006, when the polar ‐ optimized version of the Weather Research and Forecasting model (Polar ‐ WRF) was implemented [ Skamarock et al. , 2005, 2008; Hines and Bromwich , 2008].”
MethodComposite Structure of Tropopause Polar Cyclones
Cavallo, S. M., & Hakim, G. (2010) · doi:10.1175/2010mwr3371.1 · Cited by 73
“We use the Advanced Research Weather (ARW) version of the Weather Research and Forecasting (WRF) model version 2.2.1 (Skamarock et al. 2005) and the WRF Preprocessing System (WPS) version 2.2.”
MethodInfluentialOn the Impact of WRF Model Vertical Grid Resolution on Midwest Summer Rainfall Forecasts
Aligo, E., Gallus, W., & Segal, M. (2009) · doi:10.1175/2008waf2007101.1 · Cited by 73
Trier, S., Chen, F., Manning, K. W., Lemone, M., & Davis, C. (2008) · doi:10.1175/2007mwr2289.1 · Cited by 73
“We integrate the Advanced Research WRF (ARW version 2) described by Skamarock et al. (2005) over the single subcontinental-scale domain shown in Fig.”
MethodMichalakes, J., Hacker, J., Loft, R., Mccracken, M. O., Snavely, A., Wright, N., Spelce, T., Gorda, B., & Walkup, R. (2007) · International Conference on Software Composition · doi:10.1145/1362622.1362701 · Cited by 73
“The WRF model [1] is a limited-area model of the atmosphere for mesoscale research and operational NWP.”
MethodYang, Q., Houze, R., Leung, L. R., & Feng, Z. (2017) · doi:10.1002/2017jd027033 · Cited by 72
“1 of the Weather Research and Forecasting (WRF) model (Skamarock et al., 2008) with the YSU planetary boundary layer scheme (Hong et al., 2006), the two-moment cloud microphysical scheme of Morrison et al. (2009), and the Rapid Radiative Transfer Model (Mlawer et al.”
MethodInfluentialInfluence of Cloud Microphysics and Radiation on Tropical Cyclone Structure and Motion
Fovell, R., Bu, Y., Corbosiero, K. L., Tung, W., Cao, Y., Kuo, H.-C., Hsu, L.-H., & Su, H. (2016) · doi:10.1175/amsmonographs-d-15-0006.1 · Cited by 72
“WRF-ARW and HWRF analyses employed a customized version of the RIP package, created by Dr. Mark Stoelinga.”
MethodInfluentialCarniel, S., Benetazzo, A., Bonaldo, D., Falcieri, F., Miglietta, M., Ricchi, A., & Sclavo, M. (2016) · doi:10.1016/j.ocemod.2016.03.007 · Cited by 72
Forecasting Tornadoes Using Convection-Permitting Ensembles
Gallo, B. T., Clark, A., & Dembek, S. (2016) · doi:10.1175/waf-d-15-0134.1 · Cited by 72
Archer-Nicholls, S., Lowe, D., Utembe, S., Allan, J., Zaveri, R., Fast, J., Hodnebrog, Ø., van der Gon, H. D., & Mcfiggans, G. (2014) · Geoscientific Model Development · doi:10.5194/gmd-7-2557-2014 · Cited by 72
“WRF-Chem is built around the well-established Advanced Research WRF (ARW) core, which handles the meteorology, physics and transport components of the model (Skamarock et al., 2005).”
BackgroundMethodNumerical forecast and analysis of a tropical-like cyclone in the Ionian Sea
Davolio, S., Miglietta, M., Moscatello, A., Pacifico, F., Buzzi, A., & Rotunno, R. (2009) · doi:10.5194/nhess-9-551-2009 · Cited by 72
“…after initialization, and the non-hydrostatic model WRF/ARW, version 2.2, implemented in a two-way nesting Published by Copernicus Publications on behalf of the European Geosciences Union. configuration (for the model descriptions see Davolio et al., 2007 and Skamarock et al., 2005, respectively).”
MethodInfluentialJankov, I., Schultz, P., Anderson, C., & Koch, S. (2007) · Journal of Hydrometeorology · doi:10.1175/jhm630.1 · Cited by 72
“For this purpose, high-resolution [3-km grid spacing Advanced Research Weather Research and Forecasting (WRF) model (ARW) dynamic core (Skamarock et al. 2005; Wicker and Skamarock 2002; Michalakes et al. 1998) and 32 vertical levels] simulations of 4 HMT events were examined.”
MethodThe impact of an urban canopy and anthropogenic heat fluxes on Sydney's climate
Ma, S., Pitman, A. J., Hart, M., Evans, J. P., Haghdadi, N., & MacGill, I. F. (2017) · International Journal of Climatology · doi:10.1002/joc.5001 · Cited by 78
“7.1) model (Skamarock et al., 2008), coupled with a single-layer urban canopy model (SLUCM) (Kusaka et al., 2001; Kusaka and Kimura, 2004; Chen et al., 2011).”
MethodInfluentialCoastal Ocean Forecasting: system integration and evaluation
Kourafalou, V. H., Mey, P. D., Hénaff, M. L., Charria, G., Edwards, C. A., He, R., Herzfeld, M., Pascual, A., Stanev, E. V., Tintoré, J., et al. (2015) · Journal of Operational Oceanography · doi:10.1080/1755876x.2015.1022336 · Cited by 80
“Coastal Ocean Forecasting: system integration and evaluation V.H. Kourafaloua*,n, P. De Meyb,n, M. Le Hénaffa, G. Charriac, C.A. Edwardsd, R. Hee,n, M. Herzfeldf,n, A. Pascualg, E.V. Stanevh,n, J. Tintorég,n,i, N. Usuij, A.J. van der Westhuysenk,n, J. Wilkinl and X. Zhum,n aUniversity of Miami, Rosenstiel School of Ma…”
MethodInfluentialImpact of grid resolution on the predicted fine PM by a regional 3-D chemical transport model
Fountoukis, C., Koraj, D., van der Gon, H. D., Charalampidis, P., Pilinis, C., & Pandis, S. (2013) · doi:10.1016/j.atmosenv.2012.11.008 · Cited by 71
Effect of Beta Shear on Simulated Tropical Cyclones
Fang, J., & Zhang, F.-Q. (2012) · doi:10.1175/mwr-d-10-05021.1 · Cited by 71
“…there is a b skirt outside of the eyewall to constrain the asymmetric flow and facilitate the transfer of perturbation vorticity and kinetic energy from sporadic deep convection to the azimuthal mean flow as predicted by quasi-linear axisymmetrization dynamics (Terwey and Montgomery 2008).”
BackgroundMethodResultInfluentialEnsemble Data Assimilation Applied to RAINEX Observations of Hurricane Katrina (2005)
Torn, R., & Hakim, G. (2009) · doi:10.1175/2009mwr2656.1 · Cited by 71
Airborne spread of foot-and-mouth disease--model intercomparison.
Gloster, J., Jones, A., Redington, A., Burgin, L., Sørensen, J. H., Turner, R., Dillon, M., Hullinger, P., Simpson, M., Astrup, P., et al. (2008) · The Veterinary Journal · doi:10.1016/j.tvjl.2008.11.011 · Cited by 71
“USA (Nasstrom et al. 2007; Leone et al. 2005; Skamarock et al. 2005.”
BackgroundDoran, J. C., Fast, J. D., Barnard, J. C., Laskin, A., Desyaterik, Y., Gilles, M. K., & Hopkins, R. J. (2008) · Atmospheric chemistry and physics · doi:10.5194/acp-8-1377-2008 · Cited by 59
Zhuo, L., Dai, Q., Han, D.-W., Chen, N., & Zhao, B. (2019) · Hydrology and Earth System Sciences · doi:10.5194/hess-23-4199-2019 · Cited by 70
“The WRF model is a next-generation, non-hydrostatic mesoscale NWP system designed for both atmospheric research and operational forecasting applications (Skamarock et al., 2005).”
MethodThe Response of Atlantic Tropical Cyclones to Suppression of African Easterly Waves
Patricola, C., Saravanan, R., & Chang, P. (2018) · Geophysical Research Letters · doi:10.1002/2017gl076081 · Cited by 70
Zhang, F., Zhang, M., & Poterjoy, J. (2012) · Monthly Weather Review · doi:10.1175/mwr-d-12-00075.1 · Cited by 74
Patricola, C. M., & Cook, K. H. (2010) · Climate Dynamics · doi:10.1007/s00382-010-0907-y · Cited by 57
Zhang, M., Zhang, F., Huang, X.-Y., & Zhang, X. (2010) · Monthly Weather Review · doi:10.1175/2010mwr3610.1 · Cited by 69
“In this study, the regional Advanced Research Weather Research and Forecasting (ARW-WRF) model (Skamarock et al. 2005) version 3.1.1 is employed as the platform to investigate all DA approaches in a realistic scenario.”
MethodInfluentialXiao, Q., Zhang, X., Davis, C., Tuttle, J., Holland, G., & Fitzpatrick, P. (2009) · doi:10.1175/2009mwr2828.1 · Cited by 70
“The newly developed WRF three-dimensional variational data assimilation (3DVAR) system (Skamarock et al. 2005) is one such advanced data assimilation algorithm.”
MethodInfluentialModeling of dust soiling effects on solar photovoltaic performance: A review
Younis, A., & Alhorr, Y. (2021) · doi:10.1016/j.solener.2021.04.011 · Cited by 69
Caumont, O., Cimini, D., Löhnert, U., Alados-Arboledas, L., Bleisch, R., Buffa, F., Ferrario, M., Haefele, A., Huet, T., Madonna, F., et al. (2016) · doi:10.1002/qj.2860 · Cited by 69
“The Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) and an ensemble Kalman filter (EnKF) algorithm were used to assimilate simulated MWR temperature and humidity profiles at a horizontal resolution of 18 km every hour during a period of 24 h.”
MethodFast, J., Allan, J., Bahreini, R., Craven, J., Emmons, L., Ferrare, R., Hayes, P. L., Hodzic, A., Holloway, J., Hostetler, C., et al. (2014) · doi:10.5194/acp-14-10013-2014 · Cited by 69
Berezin, E., Konovalov, I., Ciais, P., Richter, A., Tao, S., Janssens-Maenhout, G., Beekmann, M., & Schulze, E. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-13-9415-2013 · Cited by 69
“The simulations were performed with a horizontal resolution of 1 (Skamarock et al., 2005; Wicker and Scamarock, 2002), which was run with a horizontal resolution of 90 × 90km 2 and driven with the NCEP Reanalysis-2 data.”
MethodBecagli, S., Ghedini, C., Peeters, S., Rottiers, A., Traversi, R., Udisti, R., Chiari, M., Jalba, A., Despiau, S., Dayan, U., et al. (2011) · Atmospheric Environment · doi:10.1016/j.atmosenv.2011.04.041 · Cited by 69
Trier, S., & Sharman, R. (2009) · Monthly Weather Review · doi:10.1175/2008mwr2770.1 · Cited by 69
“Other necessary physical parameterizations were obtained using the Rapid Radiative Transfer Model (RRTM) longwave (Mlawer et al. 1997) and Dudhia (1989) shortwave radiation schemes, and the Noah land surface model (Ek et al. 2003).”
MethodInfluentialSato, T., Takao, Y., Satoh, M., Miura, H., & Fujinami, H. (2008) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj.86a.17 · Cited by 69
Observational analysis of a Mediterranean ‘hurricane’ over south‐eastern Italy
Moscatello, A., Miglietta, M. M., & Rotunno, R. (2008) · doi:10.1002/wea.231 · Cited by 69
“In order to further analyse the event, a set of numerical simulations were performed using the Weather Research and Forecasting Model (WRF), version 2.2 (Skamarock et al., 2007).”
MethodInfluentialLarge-Eddy Simulation of the Onset of the Sea Breeze
Antonelli, M., & Rotunno, R. (2007) · doi:10.1175/2007jas2261.1 · Cited by 69
Vizy, E., & Cook, K. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3628-7 · Cited by 69
Stæhr, P. A. U., Testa, J. M., & Carstensen, J. (2016) · Estuaries and Coasts · doi:10.1007/s12237-016-0117-x · Cited by 71
“Hourly wind speed data has been provided by Department of Environmental Science, Aarhus University and was extracted from the meteorological model WRF (Skamarock et al. 2005) in a setup with several nests and driven by the global ERA-Interim meteorological data from the European Centre for Medium Range Weather Forecas…”
MethodFalco, M., Carril, A., Menéndez, C., Zaninelli, P., & Li, L. Z. X. (2018) · Climate Dynamics · doi:10.1007/s00382-018-4412-z · Cited by 68
Li, Y., Thompson, T. M., Damme, M. V., Chen, X., Benedict, K. B., Shao, Y., Day, D. E., Boris, A. J., Sullivan, A. P., Ham, J. M., et al. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-6197-2017 · Cited by 81
“5.1, was used to develop meteorological inputs to the air quality model (Skamarock et al., 2005).”
MethodInfluentialProgress and challenges in short- to medium-range coupled prediction
Brassington, G. B., Martin, M. J., Tolman, H. L., Akella, S., Balmeseda, M., Chambers, C. R. S., Chassignet, E. P., Cummings, J. A., Drillet, Y., Jansen, P. A. E. M., et al. (2015) · Journal of Operational Oceanography · doi:10.1080/1755876x.2015.1049875 · Cited by 64
“In hurricane modelling, the impact of ocean temperature and heat content on intensi fi cation has been long recognized, and operational GFDL and HWRF models have included an active ocean component for more than a decade (Bender et al. 1993, 2007; Bender & Ginis 2000; Yablonsky & Ginis 2008, 2009; Tallapragada et al. 20…”
Global-to-Regional Nested Grid Climate Simulations in the GFDL High Resolution Atmospheric Model
Harris, L., & Lin, S.-J. (2014) · doi:10.1175/jcli-d-13-00596.1 · Cited by 68
“…climate models (RCMs; Christensen et al. 2007) typically use a limited-area numerical model, such as theWeather Research and Forecasting model (WRF; Skamarock et al. 2005) or the Regional Climate Model (RegCM; Giorgi et al. 2012), with lateral boundary supplied by either a reanalysis or a global…”
MethodNumerical ship navigation based on weather and ocean simulation
Chen, C., Shiotani, S., & Sasa, K. (2013) · doi:10.1016/j.oceaneng.2013.05.019 · Cited by 68
“First, the mesoscale meteorological model of WRF-ARW version 3.4 (Weather Research and Forecasting Model) (Skamarock et al., 2005) was used to generate high-resolution wind data, which was then put into SWAN (Simulating Waves Nearshore) (Booji et al., 1999; The SWAN Team, 2009) and POM (Princeton…”
MethodInfluentialImpact of Doppler weather radar data on numerical forecast of Indian monsoon depressions
Routray, A., Mohanty, U. C., Rizvi, S., Niyogi, D., Osuri, K., & Pradhan, D. (2010) · doi:10.1002/qj.678 · Cited by 68
“We used the Advanced Research version of the WRF (ARW) modelling system (Skamarock et al., 2005).”
MethodRegional-scale geostatistical inverse modeling of North American CO 2 fluxes: a synthetic data study
Gourdji, S., Hirsch, A. I., Mueller, K. L., Yadav, V., Andrews, A. E., & Michalak, A. M. (2010) · Atmospheric chemistry and physics · doi:10.5194/acp-10-6151-2010 · Cited by 60
Sarrat, C., Noilhan, J., Dolman, A., Gerbig, C., Ahmadov, R., Tolk, L., Meesters, A., Hutjes, R., ter Maat, H. T., Pérez-Landa, G., et al. (2007) · Biogeosciences · doi:10.5194/bg-4-1115-2007 · Cited by 68
“1 The WRF model The Max-Planck Institute for Biogeochemistry ran the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) for meteorology and CO2 transport.”
MethodSource contributions of surface ozone in China using an adjoint sensitivity analysis.
Wang, M.-Y., Yim, S., Wong, D., & Ho, K.-F. (2019) · Science of the Total Environment · doi:10.1016/j.scitotenv.2019.01.116 · Cited by 67
Jankov, I., Grasso, L. D., Sengupta, M., Neiman, P., Zupanski, D., Zupanski, M., Lindsey, D., Hillger, D., Birkenheuer, D., Brummer, R., et al. (2010) · doi:10.1175/2010jhm1282.1 · Cited by 67
“Detailed mesoscale analyses of this event are discussed in Reeves et al. (2008), Jankov et al. (2009), and Smith et al. (2010).”
BackgroundWill Perturbing Soil Moisture Improve Warm-Season Ensemble Forecasts? A Proof of Concept
Sutton, C., Hamill, T., & Warner, T. (2006) · doi:10.1175/mwr3248.1 · Cited by 67
“a. WRF configuration WRF is a nonhydrostatic, Eulerian mesoscale model (Michalakes et al. 2001; Skamarock et al. 2001, 2005; Wicker and Skamarock 2002).”
BackgroundImproving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module
Ukhov, A., Ahmadov, R., Grell, G., & Stenchikov, G. (2021) · Geoscientific model development · doi:10.5194/gmd-14-473-2021 · Cited by 66
“…the studies mentioned above were conducted within the group of Atmospheric and Climate Modeling at King Abdullah University of Science and Technology (KAUST) using the Weather Research and Forecasting model with chemistry (WRF-Chem) (Skamarock et al., 2005; Grell et al., 2005; Powers et al., 2017).”
MethodChen, L., Zhu, J., Liao, H., Gao, Y., Qiu, Y., Zhang, M., Liu, Z., Li, N., & Wang, Y. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-10845-2019 · Cited by 114
“7) is used to simulate meteorological fields and concentrations of gases and aerosols simultaneously (Skamarock et al., 2008; Grell et al., 2005).”
MethodThe Adriatic Sea and Coast modelling suite: Evaluation of the meteotsunami forecast component
Denamiel, C., Šepić, J., Ivanković, D., & Vilibić, I. (2019) · Ocean Modelling · doi:10.1016/j.ocemod.2019.02.003 · Cited by 107
Perlin, N., de Szoeke, S. D., Chelton, D., Samelson, R., Skyllingstad, E., & O'Neill, L. (2014) · doi:10.1175/mwr-d-13-00332.1 · Cited by 66
“The WRF Model is a 3D nonhydrostatic mesoscale atmospheric model designed and widely used for both operational forecasting and atmospheric research studies (Skamarock et al. 2005).”
BackgroundKumar, A., Chen, F., Barlage, M., Ek, M., & Niyogi, D. (2014) · doi:10.1175/jamc-d-13-0247.1 · Cited by 66
“0.1 (Skamarock et al. 2005).”
InfluentialJohnson, A., & Wang, X.-G. (2012) · doi:10.1175/mwr-d-11-00356.1 · Cited by 66
“The 2009 ensemble contained 20 members: 10 with ARW-WRF (Skamarock et al. 2005), 8 with WRF-NMM (Janjic 2003), and 2 with the Advanced Regional Prediction System (ARPS; Xue et al. 2003).”
BackgroundInfluentialClear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter
Otkin, J. A. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd013759 · Cited by 76
Solomon, A., Morrison, H., Persson, O., Shupe, M., & Bao, J. (2009) · doi:10.1175/2009mwr2688.1 · Cited by 66
“2 model (Skamarock et al. 2005) is used for this study with three nested grids with horizontal grid spacings of 18, 6, and 1 km (Fig.”
MethodJankov, I., Bao, J., Neiman, P., Schultz, P., Yuan, H.-L., & White, A. (2009) · doi:10.1175/2009jhm1059.1 · Cited by 66
“The simulations were performed by using the Advanced Research Weather Research and Forecasting (ARW-WRF) (Skamarock et al. 2005; Wicker and Skamarock 2002; Michalakes et al. 1999) community numerical model with four different microphysics options.”
MethodInfluentialBaldasano, J., Jiménez-Guerrero, P., Jorba, O., García-Pando, C. P., López, E., Güereca, P., Martín, F., Vivanco, M. G., Palomino, I., Querol, X., et al. (2008) · doi:10.5194/asr-2-89-2008 · Cited by 66
Spiga, A., Forget, F., Dolla, B., Vinatier, S., Melchiorri, R., Drossart, P., Gendrin, A., Bibring, J., Langevin, Y., & Gondet, B. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006je002870 · Cited by 66
“[68] To analyze more precisely the interaction between flow and topography, three-dimensional non-hydrostatic fully compressible idealized simulations were performed with the mesoscale Weather Research Forecast (WRF) model version 2.1.2 [Skamarock et al., 2005].”
MethodInfluential
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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