The DOI matches its DataCite record.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cited by
Sorted by citations
Items 701–800 of 1,000
Well-Balanced, Conservative Finite Difference Algorithm for Atmospheric Flows
Ghosh, D., & Constantinescu, E. (2016) · doi:10.2514/1.j054580 · Cited by 47
“WRF [16] uses a finite difference discretization, and the solution is obtained with a fifth-order upwind scheme in x and a third-order upwind scheme in y [17].”
MethodInfluentialCui, Y., Brioude, J., Mckeen, S., Angevine, W., Kim, S.-W., Frost, G., Ahmadov, R., Peischl, J., Bousserez, N., Liu, Z., et al. (2015) · doi:10.1002/2014jd023002 · Cited by 47
“High-resolution meteorological simulations were performed using the Weather Research and Forecasting (WRF) model [ Skamarock et al ., 2005] to drive FLEXPART [ Brioude et al ., 2013b].”
Bauer, H., Schwitalla, T., Wulfmeyer, V., Bakhshaii, A., Ehret, U., Neuper, M., & Caumont, O. (2015) · doi:10.3402/tellusa.v67.25047 · Cited by 47
Cyclone‐cyclone interactions through the ocean pathway
Balaguru, K., Taraphdar, S., Leung, L.-Y. R., Foltz, G. R., & Knaff, J. A. (2014) · Geophysical Research Letters · doi:10.1002/2014gl061489 · Cited by 55
“To evaluate the effects of Katia’s cooling on Maria’s intensity, numerical simulations were performed using the nonhydrostatic compressible WRF-ARW (Advanced Weather Research and Forecasting) model version 3.3.1 developed by National Center for Atmospheric Research [Skamarock et al., 2005].”
MethodInfluentialFritz, C., & Wang, Z. (2013) · doi:10.1175/jas-d-12-018.1 · Cited by 47
“The reduction of the ue difference prior to genesis is consistent with the observational diagnosis by Wang (2012b) and Smith and Montgomery (2011).”
BackgroundResultObservational Undersampling in Tropical Cyclones and Implications for Estimated Intensity
Uhlhorn, E. W., & Nolan, D. S. (2011) · Monthly Weather Review · doi:10.1175/mwr-d-11-00073.1 · Cited by 44
“This simulation was performed using the Weather Research and Forecasting (WRF) model version 2.2.1 (Skamarock et al. 2005).”
MethodInfluentialA case of offshore convective initiation by interacting land breezes near Darwin, Australia
Wapler, K., & Lane, T. (2012) · Meteorology and atmospheric physics (Print) · doi:10.1007/s00703-011-0180-6 · Cited by 47
“The WRF model is a compressible nonhydrostatic finite difference model that has a variety of physics options, including explicit moisture processes (see Skamarock et al. 2002, for details).”
MethodHuang, H.-L., Wang, C.-C., Chen, G. T., & Carbone, R. (2010) · doi:10.1175/2010mwr3225.1 · Cited by 47
“A nonhydrostatic version (version 2.2) of the Weather Research and Forecasting model (WRF; Skamarock et al. 2005) is used to simulate the present case.”
MethodInfluentialLacasse, K., Splitt, M., Lazarus, S., & Lapenta, W. (2008) · doi:10.1175/2007mwr2167.1 · Cited by 47
“…the NASA Earth Observing System Moderate Resolution Imaging Spectroradiometer (MODIS) on the overlying MABL thermodynamic and kinematic structures as simulated by the Weather Research and Forecasting (WRF; Skamarock et al. 2005) modeling system run at 2-km resolution over the Florida peninsula.”
MethodAn Observational Study of Convection Initiation on 12 June 2002 during IHOP_2002
Weckwerth, T., Murphey, H. V., Flamant, C., Goldstein, J., & Pettet, C. R. (2005) · doi:10.1175/2007mwr2128.1 · Cited by 47
“Simulations using the Weather Research and Forecasting model (WRF; Skamarock et al. 2005) are also underway to supplement hypotheses based on these observations, which alone cannot fully explain the CI event on this day.”
MethodLin, J., An, J.-L., Qu, Y., Chen, Y., Li, Y., Tang, Y.-J., Wang, F., & Xiang, W. (2016) · doi:10.1016/j.atmosenv.2015.08.098 · Cited by 47
Xu, T.-R., Chen, F., He, X.-L., Barlage, M., Zhang, Z., Liu, S.-M., & He, X.-P. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002394 · Cited by 46
“, 2007) and Weather Research and Forecasting model (Skamarock et al., 2007).”
BackgroundTropical cyclone rainbands can trigger meteotsunamis
Shi, L., Olabarrieta, M., Nolan, D. S., & Warner, J. C. (2020) · Nature Communications · doi:10.1038/s41467-020-14423-9 · Cited by 55
Solution and validation of a three dimensional tropical cyclone boundary layer wind field model
Hong, X., Hong, H., & Li, J. (2019) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2019.103973 · Cited by 46
Probabilistic Wind-Power Forecasting Using Weather Ensemble Models
Wu, Y.-K., Su, P.-E., Wu, T.-Y., Hong, J.-S., & Hassan, M. (2018) · IEEE transactions on industry applications · doi:10.1109/tia.2018.2858183 · Cited by 46
“The NWP system, called CWB-Weather Research and Forecasting (WRF) Model, comprises an Advanced Research WRF dynamical core model [35], with a terrain-following, nonhydrostatic, fully compressible, primitive equation, and a 3-D variational data assimilation (3DVAR) system [36].”
MethodGarcía-Hinde, Ó., Terrén-Serrano, G., Hombrados-Herrera, M. Á., Gómez-Verdejo, V., Jiménez-Fernández, S., Casanova-Mateo, C., Sanz, J., Martínez‐Ramón, M., & Salcedo‐Sanz, S. (2018) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2017.12.003 · Cited by 53
“For this reason, numerical methods to construct weather models, such as the Weather Research and Forecasting (WRF) mesoscale model (Skamarock et al., 2005), have also been applied, as they provide significant atmospheric information in the surroundings of the location under study, thus improving…”
MethodInfluentialPachón, J. E., Galvis, B., Lombana, Ó., Carmona, L. G., Fajardo, S., Rincón, A., Meneses, S., Chaparro, R., Nedbor-Gross, R., & Henderson, B. (2018) · doi:10.3390/atmos9020049 · Cited by 46
“Briefly, meteorological modeling has been performed for Bogotá using the Weather Research and Forecasting (WRF) model [44].”
MethodAmini, H., Schindler, C., Hosseini, V., Yunesian, M., & Künzli, N. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02238 · Cited by 43
“4, was used as the meteorological model.(20) This 137 mesoscale model is a state-of-the-art atmospheric simulation system based on the 138 fifth-generation Penn State/ The National Center for Atmospheric Research 139 Mesoscale Model.”
MethodLawston, P. M., Santanello, J., Franz, T., & Rodell, M. (2017) · Hydrology and Earth System Sciences · doi:10.5194/hess-21-2953-2017 · Cited by 46
“LIS can be fully coupled to the Weather Research and Forecasting model (WRF; Skamarock et al., 2005) in the NASA Unified WRF (NU-WRF; Peters-Lidard et al.”
MethodFast Weather Simulation for Inverse Procedural Design of 3D Urban Models
Garcia-Dorado, I., Aliaga, D. G., Bhalachandran, S., Schmid, P., & Niyogi, D. (2017) · TOGS · doi:10.1145/3072959.2999534 · Cited by 46
“The Weather Research and Forecasting (WRF) model [Skamarock et al. 2005; Chen et al. 2011] is one of the state-ofthe-art NWP systems designed to serve both atmospheric research and local operational forecasting needs.”
BackgroundJoint Occurrence of Daily Temperature and Precipitation Extreme Events over Canada
Tencer, B., Weaver, A., & Zwiers, F. (2014) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-13-0361.1 · Cited by 46
“…RCMs were considered: 1 the Met Office Hadley Centre’s regional climate model, version 3 (HRM3; Jones et al. 2003); the Regional Climate Model, version 3 (RCM3; Giorgi et al. 1993a,b; Pal et al. 2000, 2007); and the Weather Research and Fore-casting (hereinafter WRFG) Model (Skamarock et al. 2005).”
MethodPlanetary boundary layer errors in mesoscale inversions of column‐integrated CO2 measurements
Lauvaux, T., & Davis, K. (2014) · doi:10.1002/2013jd020175 · Cited by 46
“The atmospheric transport model used in this study is the Weather Research and Forecasting (WRF-ARW) model [Skamarock et al., 2005], including the chemistry module slightly modified here for passive tracers as in Lauvaux et al. [2012b].”
MethodImpact of Land Model Calibration on Coupled Land–Atmosphere Prediction
Santanello, J., Kumar, S. V., Peters-Lidard, C., Harrison, K., & Zhou, S.-J. (2013) · doi:10.1175/jhm-d-12-0127.1 · Cited by 46
“This question is addressed here by combining LSM calibration and spinup approaches to produce best estimates of land surface fluxes for coupling with the Advanced ResearchWeather Research and Forecasting Model (WRF-ARW; Skamarock et al. 2005).”
MethodMerino, A., García-Ortega, E., López, L., Sánchez, J., & Guerrero-Higueras, Á. (2013) · doi:10.1016/j.atmosres.2012.10.021 · Cited by 46
Pappin, A. J., & Hakami, A. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1205561 · Cited by 52
Deterministic Ensemble Forecasts Using Gene-Expression Programming*
Bakhshaii, A., & Stull, R. (2009) · Weather and Forecasting · doi:10.1175/2009waf2222192.1 · Cited by 46
“…Numerical models The NWP models used at UBC for daily limited-area, short-range (60 h) runs are d the Weather Research and Forecasting model (WRF; Skamarock et al. 2005) d the fifth-generation Pennsylvania State University– National Center for Atmospheric Research Mesoscale Model (MM5; Grell et…”
MethodLake-Effect Thunderstorms in the Lower Great Lakes
Steiger, S., Hamilton, R., Keeler, J. M., & Orville, R. (2009) · doi:10.1175/2008jamc1935.1 · Cited by 46
“The operational Eta (Janji c 1994)/WRF-NMM (Skamarock et al. 2005) numerical data were used for our case studies.”
MethodRao, Y. V. R., Hatwar, H. R., Salah, A., & Sudhakar, Y. (2007) · doi:10.1007/s00024-007-0244-1 · Cited by 46
Engemann, K., Svenning, J., Arge, L., Brandt, J. G., Erikstrup, C., Geels, C., Hertel, O., Mortensen, P. B., Plana‐Ripoll, O., Tsirogiannis, C., et al. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109788 · Cited by 61
Zhu, X., Wei, Z., Dong, W.-J., Ji, Z.-M., Wen, X., Zheng, Z.-Y., Yan, D., & Chen, D.-L. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05170-0 · Cited by 45
“In this study, the weather research and forecasting (WRF) model (Skamarock et al. 2005) was used to conduct dynamic downscaling of reanalysis datasets and GCM outputs with different LSM parameterizations to produce high- resolution climate data for the CA.”
MethodSensitivity analysis of the microphysics scheme in WRF-Chem contributions to AQMEII phase 2
Baró, R., Jiménez-Guerrero, P., Balzarini, A., Curci, G., Forkel, R., Grell, G., Hirtl, M., Honzak, L., Langer, M., Pérez, J., et al. (2015) · doi:10.1016/j.atmosenv.2015.01.047 · Cited by 45
“…interactions of clouds and incoming solar radiation have been implemented by linking simulated cloud droplet number with the Goddard shortwave radiation scheme, representing the first indirect effect, and with Lin microphysics, which represents the second indirect effect (Skamarock et al., 2005).”
MethodHarding, K. J., & Snyder, P. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd022575 · Cited by 45
An observation-constrained multi-physics WRF ensemble for simulating European mega heat waves
Stegehuis, A. I., Vautard, R., Ciais, P., Teuling, A. J., Miralles, D. G., & Wild, M. (2015) · Geoscientific model development · doi:10.5194/gmd-8-2285-2015 · Cited by 56
Benamrane, Y., Wybo, J., & Armand, P. (2013) · Journal of Environmental Radioactivity · doi:10.1016/j.jenvrad.2013.07.009 · Cited by 45
Nowcasting: The Promise of New Technologies of Communication, Modeling, and Observation
Mass, C. (2012) · doi:10.1175/bams-d-11-00153.1 · Cited by 45
Clark, A. J., Kain, J. S., Stensrud, D. J., Xue, M., Kong, F., Coniglio, M. C., Thomas, K. W., Wang, Y., Brewster, K. A., Gao, J., et al. (2011) · Monthly Weather Review · doi:10.1175/2010mwr3624.1 · Cited by 140
“…results (e.g., Done et al. 2004; Kain et al. 2005) testing convection-allowing 1 configura-tions of the Weather Research and Forecasting (WRF) model (Skamarock et al. 2008) and a desire to quantify forecast uncertainty at convective scales, the Center for Analysis and Prediction of Storms (CAPS)…”
BackgroundAn observational and numerical study of a flash-flood event over south-eastern Italy
Miglietta, M., & Regano, A. (2008) · doi:10.5194/nhess-8-1417-2008 · Cited by 45
“The Weather Research and Forecasting (WRF) Model (Michalakes et al., 2005; Skamarock et al., 2005;www. wrf-model.org) is a numerical weather prediction system designed to serve both operational forecasting and atmo- spheric research needs.”
BackgroundAn Integrated Hydrologic Modeling and Data Assimilation Framework
Kumar, S. V., Peters-Lidard, C., Tian, Y., Reichle, R., Geiger, J., Alonge, C., Eylander, J., & Houser, P. (2008) · Computer · doi:10.1109/mc.2008.511 · Cited by 45
Modern Meteorology and Atmospheric Icing
Fikke, S., Kristjánsson, J., & Nygaard, B. (2008) · doi:10.1007/978-1-4020-8531-4_1 · Cited by 45
Shen, H.-F., & Zhang, L.-P. (2023) · Science China. Earth Sciences · doi:10.1007/s11430-022-9999-9 · Cited by 44
“In the numerical simulation, scientists from various countries have built a variety of atmospheric numerical models (Skamarock et al., 2005), land surface process models (Meng and Dai, 2013), hydrological models (Arnold et al., 1998), etc., and developed Earth System Simulator based on…”
BackgroundWang, Y.-H., Walter, R. K., White, C., Farr, H., & Ruttenberg, B. (2019) · Renewable Energy · doi:10.1016/j.renene.2018.10.008 · Cited by 44
Maheng, D., Ducton, I., Lauwaet, D., Zevenbergen, C., & Pathirana, A. (2019) · Atmosphere · doi:10.3390/atmos10030151 · Cited by 56
Multiscale simulation of wind field on a long-span bridge site in mountainous area
Han, Y., Shen, L., Xu, G.-J., Cai, C., Hu, P., & Zhang, J.-R. (2018) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2018.04.012 · Cited by 44
Eiras-Barca, J., Dominguez, F., Hu, H.-C., Garaboa-Paz, D., & Míguez-Macho, G. (2017) · doi:10.5194/esd-8-1247-2017 · Cited by 44
Chen, C.-S., Lin, Y., Zeng, H., Chen, C.-Y., & Liu, C.-L. (2013) · doi:10.1016/j.atmosres.2012.10.008 · Cited by 44
“The mesoscale processes associated with the development and maintenance of the heavy rainfall event under the influence of orography are investigated by the WRF model (Skamarock et al., 2005).”
MethodToward reliable ensemble Kalman filter estimates of CO2 fluxes
Chatterjee, A., Michalak, A. M., Anderson, J. G., Mueller, K., & Yadav, V. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jd018176 · Cited by 36
A simple regional coupled model experiment for summer-time climate simulation over southern Africa
Ratnam, J., Behera, S., Masumoto, Y., Takahashi, K., & Yamagata, T. (2012) · Climate Dynamics · doi:10.1007/s00382-011-1190-2 · Cited by 44
DiLiberto, T., Colle, B., Georgas, N., Blumberg, A., & Taylor, A. (2011) · Weather and Forecasting · doi:10.1175/waf-d-10-05055.1 · Cited by 44
“The SBSS ensemble surge system consists of eight separate ADCIRC members run every 0000 UTC to hour 48 with the surface wind and pressure from either the Weather Research and Forecasting Model (WRF; Skamarock et al. 2005) or the MM5 (Grell et al. 1995).”
MethodZhao, Z., Chen, S.-H., Kleeman, M., Tyree, M., & Cayan, D. (2011) · Journal of Climate · doi:10.1175/2011jcli3849.1 · Cited by 44
“In this study, WRF model (Skamarock et al. 2007), a community mesoscale meteorology model, was applied to dynamically downscale PCM data under the BAU future forcing scenario (Dai et al. 2001) to investigate the meteorological conditions and their changes in CA, especially SJV and SoCAB.”
BackgroundMethodInfluentialMastrangelo, D., Horvath, K., Riccio, A., & Miglietta, M. (2011) · doi:10.1016/j.atmosres.2010.10.010 · Cited by 44
“…for long-wave radiation based onMlawer et al. (1997), the Dudhia (1989) scheme for short-wave radiation, the Yonsei University (YSU) scheme for the boundary layer (Hong and Pan, 1996), a five-layer thermal diffusion soil scheme (Skamarock et al., 2005), and the Thompson et al. (2004) microphysics.”
MethodTrier, S., Lemone, M., Chen, F., & Manning, K. W. (2011) · doi:10.1175/2010waf2222426.1 · Cited by 44
“Horizontal mixing is determined using a Smagorinsky first-order closure discussed in 4.1.3 of Skamarock et al. (2005).”
BackgroundMethodInfluentialNorman, M., Nair, R., & Semazzi, F. (2011) · Journal of Computational Physics · doi:10.1016/j.jcp.2010.11.022 · Cited by 44
“[40], leaving only perturbations from hydrostatic balance for the vertical pressure gradient and for density in the gravity source term.”
de Foy, B., Burton, S., Ferrare, R., Hostetler, C., Hair, J., Wiedinmyer, C., & Molina, L. (2010) · doi:10.5194/acp-11-3543-2011 · Cited by 44
Adhikary, B., Carmichael, G., Kulkarni, S., Wei, C., Tang, Y.-H., D'Allura, A., Mena-Carrasco, M., Streets, D., Zhang, Q., Pierce, R., et al. (2010) · doi:10.5194/acp-10-2091-2010 · Cited by 44
Sun, D., Lau, W. K. M., Kafatos, M. C., Boybeyi, Z., Leptoukh, G. G., Yang, C., & Yang, R. (2009) · Journal of Climate · doi:10.1175/2009jcli2738.1 · Cited by 41
“…in the Atlantic basin, we performed data assimilation and numerical simulation experiments for the Hurricane Florence with an Advanced Research WRF (ARW-WRF, version 3.0; Dudhia 2004; Skamarock et al. 2005) and its three-dimensional variational data assimilation (3DVAR) system (Barker et al. 2004).”
MethodInfluentialSchlosser, E., Duda, M., Powers, J. G., & Manning, K. W. (2008) · doi:10.1029/2008jd009968 · Cited by 44
“Since 2005, AMPS has also been running the Advanced Research WRF (Weather Research and Forecasting) model [ Skamarock et al., 2005 ].”
MethodChalla, V., Indrcanti, J., Baham, J. M., Patrick, C., Rabarison, M. K., Young, J. H., Hughes, R. L., Swanier, S. J., Hardy, M. G., & Yerramilli, A. (2008) · doi:10.1007/s10652-008-9098-z · Cited by 44
A Data Assimilation Case Study Using a Limited-Area Ensemble Kalman Filter
Dirren, S., Torn, R., & Hakim, G. (2007) · doi:10.1175/mwr3358.1 · Cited by 44
“We implement the EnKF with the WRF, a nonhydrostatic primitive equation, mesoscale model (Skamarock et al. 2005).”
MethodStudy of the Indian summer monsoon using WRF–ROMS regional coupled model simulations
Samala, B. K., C., N., Banerjee, S., Kaginalkar, A., & Dalvi, M. (2013) · doi:10.1002/asl2.409 · Cited by 44
A Dynamical Investigation of the May 2004 McMurdo Antarctica Severe Wind Event Using AMPS
Steinhoff, D., Bromwich, D., Lambertson, M., Knuth, S., & Lazzara, M. (2008) · doi:10.1175/2007mwr1999.1 · Cited by 44
Wind plants can impact long-term local atmospheric conditions
Bodini, N., Lundquist, J., & Moriarty, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-02089-2 · Cited by 43
Fu, P.-L., Zhu, K.-F., Zhao, K., Zhou, B.-W., & Xue, M. (2018) · Advances in Atmospheric Sciences · doi:10.1007/s00376-018-8095-5 · Cited by 43
“The forecast data are from the 4-km Nanjing University real-time forecast system (Zhu et al., 2018), which uses the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) (hereafter referred to as NJU WRF).”
MethodGu, H., Yu, Z., Yang, C., & Ju, Q. (2018) · Water · doi:10.3390/w10091279 · Cited by 45
“HadGEM3-RA Hadley Centre Global Environmental Model version 3 regional climate model The Met Office Hadley Centre ≈50 km [49] WRF Fifth-Generation Penn State/NCAR Mesoscale Model National Center for Atmospheric Research 50 km [50] MM5 Fifth-Generation Penn State/NCAR Mesoscale Model National Center for Atmospheric Res…”
BackgroundProjected changes in dust emissions and regional air quality due to the shrinking Salton Sea
Parajuli, S. P., & Zender, C. (2018) · doi:10.1016/j.aeolia.2018.05.004 · Cited by 43
“WRF (Weather Research and Forecasting) is a latest mesoscale weather forecast model with several options for atmospheric processes (Skamarock et al., 2005).”
BackgroundImran, H. M., Kala, J., Ng, A. W. M., & Muthukumaran, S. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3758-y · Cited by 47
“Cumulus schemes are necessary to parameterize convection for grid resolutions between 5 and 10 km or coarser resolutions (Skamarock et al. 2005).”
BackgroundZhang, Y.-C., Zhang, F.-Q., Davis, C., & Sun, J.-H. (2018) · doi:10.1175/jas-d-17-0197.1 · Cited by 43
Effects of wet deposition on the abundance and size distribution of black carbon in East Asia
Kondo, Y., Moteki, N., Oshima, N., Ohata, S., Koike, M., Shibano, Y., Takegawa, N., & Kita, K. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2015jd024479 · Cited by 68
“In the present study, APT values were calculated by the Weather Research and Forecasting (WRF) model [Skamarock et al., 2005], as described in detail in section A1.”
MethodInfluentialJosé, R. S., Pérez, J., Callén, M., López, J., & Mastral, A. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.02.025 · Cited by 43
“…linked to the mesoscale meteorological model Weather & Research Forecasting system (WRF) developed by NCAR and others (Michalakes et al., 2001; Skamarock et al., 2005), which is used here to calculate the meteorological input fields so CMAQ model is driven by WRF meteorological model with 1 h…”
MethodAggarwal, R., Guhathakurta, S., Grossman‐Clarke, S., & Lathey, V. (2012) · Water Resources Research · doi:10.1029/2011wr010924 · Cited by 43
“The simulated temperatures were obtained from the Weather Research and Forecasting (WRF) model version 2 [Skamarock et al., 2005], which numerically solves a set of differential equations that govern the evolution of the state of the atmosphere in space and time in terms of air temperature, pressure, specific humidity…”
MethodBacktracking drifting objects using surface currents from high-frequency (HF) radar technology
Abascal, A., Castanedo, S., Fernández, V., & Medina, R. (2012) · Deutsche Hydrographische Zeitschrift · doi:10.1007/s10236-012-0546-4 · Cited by 43
Zhang, Y.-X., Qian, Y., Dulière, V., Salathé, E. P. J., & Leung, L. R. (2012) · Climatic Change · doi:10.1007/s10584-011-0088-7 · Cited by 43
“To address these issues, this study examines the WRF (Weather Research and Forecasting; Skamarock et al. 2006) climate model and HadRM (Hadley Centre Regional Model) simulations over the western United States driven by three global climate models: MPI-M (Max Planck Institute for Meteorology) ECHAM5, NCAR Community Cli…”
MethodJohnson, A., Wang, X.-G., Kong, F., & Xue, M. (2011) · doi:10.1175/mwr-d-11-00015.1 · Cited by 43
“consisted of 20 members, with 10 members from the Advanced Research Weather Research and Forecasting model (ARW-WRF; Skamarock et al. 2005), 8 members from the WRF Nonhydrostatic Mesoscale Model (NMM; Janjić 2003), and 2 members from the CAPS Advanced Regional Prediction System (ARPS; Xue et al.”
BackgroundBei, N., Lei, W., Zavala, M., & Molina, L. (2010) · Atmospheric chemistry and physics · doi:10.5194/acp-10-6295-2010 · Cited by 43
“The PBL schemes determine the flux profiles within the well-mixed boundary layer and the stable layer, and thus provide atmospheric trends of temperature, moisture (including clouds), and horizontal momentum in the entire atmospheric column (Skamarock et al., 2005).”
BackgroundMethodInfluentialBosy, J., Rohm, W., Borkowski, A., Kroszczyński, K., & Figurski, M. (2010) · doi:10.1016/j.atmosres.2009.12.012 · Cited by 43
DOMUS: DOppler MUltiple-Scattering Simulator
Battaglia, A., & Tanelli, S. (2011) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2052818 · Cited by 43
“As shown in [17] and [22]–[24], the combination of the large platform velocity and large footprint size generates large biases in the Doppler velocity when the field of scatterers is not homogeneous along the direction of flight.”
BackgroundJennings, K., & Molotch, N. (2019) · Hydrology and Earth System Sciences · doi:10.5194/hess-23-3765-2019 · Cited by 42
“For example, the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) has been used to simulate snow cover accumulation and ablation over large study domains in the western United States when coupled to a land surface model (Ikeda et al.”
MethodEmpirical values and assumptions in the microphysics of numerical models
Tapiador, F., Sánchez, J., & García-Ortega, E. (2018) · Atmospheric research · doi:10.1016/j.atmosres.2018.09.010 · Cited by 42
Eddy-induced cross-shelf export of high Chl-a coastal waters in the SE Bay of Biscay
Rubio, A., Caballero, A., Orfila, A., Hernández‐Carrasco, I., Ferrer, L., González, M., Solabarrieta, L., & Mader, J. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.10.037 · Cited by 48
Li, M., Wang, T., Xie, M., Zhuang, B., Li, S., Han, Y., & Cheng, N. (2016) · Theoretical and Applied Climatology · doi:10.1007/s00704-016-1903-x · Cited by 48
“The Advanced Research WRF model version 3.7 (Skamarock et al. 2008) released in April 2015 is applied in this study.”
MethodInfluentialZhu, K.-F., & Xue, M. (2016) · Advances in Atmospheric Sciences · doi:10.1007/s00376-016-6202-z · Cited by 42
“The WRF model (Skamarock et al., 2005) is used with its various physics parameterizations.”
MethodInfluentialWang, Q.-Y., Yi, S., & Sun, W.-K. (2016) · doi:10.1093/gji/ggw293 · Cited by 42
Aliabadi, A., Thomas, J. L., Herber, A., Staebler, R., Leaitch, W., Schulz, H., Law, K., Marelle, L., Burkart, J., Willis, M., et al. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-16-7899-2016 · Cited by 42
“Particle size distribution for particle diameters greater than 0.25 µm was measured using a Sky optical particle counter (OPC GRIMM Model 1.129).”
MethodInfluentialLong-term simulation of large-scale urbanization effect on the East Asian monsoon
Feng, J.-M., Wang, Y.-L., & Ma, Z.-G. (2015) · Climatic Change · doi:10.1007/s10584-013-0885-2 · Cited by 42
“Simulation was done using of WRF version 3.3 with the Advanced Research WRF (ARW) dynamic core (Skamarock et al. 2008).”
MethodInfluentialDulière, V., Zhang, Y.-X., & Salathe, E. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00818.1 · Cited by 42
“The physics package includes microphysics, cumulus parameterization, planetary boundary layer (PBL), land surfacemodels (LSMs), and longwave and shortwave radiation (Skamarock et al. 2005).”
MethodSaito, K., Seko, H., Kunii, M., & Miyoshi, T. (2012) · doi:10.3402/tellusa.v64i0.11594 · Cited by 42
“They applied two methods, LBPs provided by a larger domain and a simpler alternative method employing presumed spatial and temporal covariance relationships to an EPS using the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) and suggested that ensemble LBCs can be specified without a global ensem…”
MethodSources of nickel, vanadium and black carbon in aerosols in Milwaukee
de Foy, B., Smyth, A. M., Thompson, S., Gross, D. S., Olson, M. R., Sager, N., & Schauer, J. (2012) · doi:10.1016/j.atmosenv.2012.06.002 · Cited by 42
Pattanayak, S., Mohanty, U. C., & Osuri, K. (2012) · TheScientificWorldJournal · doi:10.1100/2012/671437 · Cited by 42
“The four land surface physics schemes are NMM [28], Thermal Diffusion [27], Noah [29] and RUC [30, 31], which thereafter referred as N, T, NO and R respectively.”
BackgroundMethodInfluentialHurricane Damage and Loss Estimation Using an Integrated Vulnerability Model
Yau, S.-C., Lin, N., & Vanmarcke, E. (2011) · doi:10.1061/(asce)nh.1527-6996.0000035 · Cited by 42
WRF Model Experiments on the Antarctic Atmosphere in Winter
Tastula, E.-M., & Vihma, T. (2011) · doi:10.1175/2010mwr3478.1 · Cited by 42
The Aerosol Modeling Testbed: A Community Tool to Objectively Evaluate Aerosol Process Modules
Fast, J., Gustafson, W., Chapman, E., Easter, R., Rishel, J., Zaveri, R., Grell, G., & Barth, M. (2011) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams2868.1 · Cited by 42
Rakesh, V., Singh, R., Pal, P., & Joshi, P. (2009) · Weather and Forecasting · doi:10.1175/2009waf2222242.1 · Cited by 42
“Assimilation experiments have been performed with the Weather Research and Forecasting (WRF) model’s three-dimensional variational data assimilation (3DVAR) scheme to assess the impacts of NASA’s Quick Scatterometer (QuikSCAT) near-surface winds, and Special Sensor Microwave Imager (SSM/I) wind speed and total precipi…”
MethodInfluentialWang, B., & Yang, H.-W. (2008) · doi:10.1007/s00382-008-0385-7 · Cited by 42
“The WRF model system offers multiple options for various physical packages (Skamarock et al. 2005).”
BackgroundBelušić, D., & Mahović, N. S. (2009) · doi:10.1016/j.pce.2009.08.009 · Cited by 42
“The WRF-ARW model is a non-hydrostatic, fully compressible primitive equation model suitable for simulations of atmospheric processes over the scales ranging from the planetary motions to turbulence.”
MethodLal, P., Shekhar, A., & Kumar, A. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.766328 · Cited by 51
“The horizontal grid is the Arakawa-C grid (Skamarock et al., 2005).”
BackgroundHow Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere?
Stenchikov, G. L., Ukhov, A., Osipov, S., Ahmadov, R., Grell, G., Cady‐Pereira, K., Mlawer, E. J., & Iacono, M. J. (2021) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd033829 · Cited by 73
The Impact of Winter Storms on Sediment Transport Through a Narrow Strait, Bohai, China
Wang, C., Liu, Z.-Q., Harris, C., Wu, X., Wang, H.-J., Bian, C., Bi, N.-S., Duan, H., & Xu, J.-P. (2020) · Journal of Geophysical Research - Oceans · doi:10.1029/2020jc016069 · Cited by 41
“…include Regional Ocean Modeling System (ROMS) hydrodynamic model (Shchepetkin & McWilliams, 2005), Weather Research and Forecasting (WRF) model (Skamarock et al., 2005), Simulating Waves Nearshore (SWAN) wave model (Booij et al., 1999), and Community Sediment Transport Modeling Systems (CSTMS)…”
BackgroundZhao, D., Huang, M., Tian, P., He, H., Lowe, D., Zhou, W., Sheng, J., Wang, F., Bi, K., Kong, S., et al. (2019) · Atmospheric Environment · doi:10.1016/j.atmosenv.2019.06.007 · Cited by 60
Qian, Q.-F., Lin, Y.-L., Luo, Y.-L., Zhao, X., Zhao, Z., Luo, Y., & Liu, X. (2018) · doi:10.1002/2017jd027734 · Cited by 41
“6.1 (Skamarock et al., 2005) with three domains (27, 9, and 3 km) and two-way nesting (Figure 1b).”
BackgroundInfluentialWesselmann, M., González‐Wangüemert, M., Serrão, E. Á., Engelen, A. H., Renault, L., García‐March, J. R., Duarte, C. M., & Hendriks, I. E. (2018) · Scientific Reports · doi:10.1038/s41598-018-23004-2 · Cited by 45
Konovalov, I. B., Beekmann, M., Berezin, E. V., Petetin, H., Mielonen, T., Kuznetsova, I. N., & Andreae, M. O. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-15-13269-2015 · Cited by 47
“6) model (Skamarock et al., 2005) was used as a meteorological driver for CHIMERE.”
Method
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review