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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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CMAQ modeling and analysis of radicals, radical precursors, and chemical transformations
Czader, B. H., Li, X., & Rappenglück, B. (2013) · Journal of Geophysical Research Atmospheres · doi:10.1002/jgrd.50807 · Cited by 41
An immersed boundary method wall model for high‐Reynolds‐number channel flow over complex topography
Anderson, W. (2013) · doi:10.1002/fld.3727 · Cited by 41
The utility of atmospheric analyses for the mitigation of artifacts in InSAR
Foster, J., Kealy, J. C., Cherubini, T., Businger, S., Lu, Z., & Murphy, M. (2013) · doi:10.1002/jgrb.50093 · Cited by 41
“…(National Center for Atmospheric Research-Penn State Mesoscale Model Version 5) [Grell et al., 1995] and the WRF (Weather Research and Forecasting) [Skamarock et al., 2005], and analyses such as produced by Local Analysis and Prediction System (LAPS) McGinley [1989] and McGinley et al. [1991] are…”
MethodTemperature Trends in the NARCCAP Regional Climate Models
Bukovsky, M. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00588.1 · Cited by 43
WRF/ARPEGE-CLIMAT simulated climate trends over West Africa
Vigaud, N., Roucou, P., Fontaine, B., Sijikumar, S., & Tyteca, S. (2011) · Climate Dynamics · doi:10.1007/s00382-009-0707-4 · Cited by 41
“developed at NCAR (Shamarock et al. 2005) is used in this study to disaggregate large-scale GCM output as well as re-analyses data.”
MethodWheatley, D. M., & Stensrud, D. (2010) · doi:10.1175/2009mwr3042.1 · Cited by 41
“1 2010 American Meteorological Society Unauthenticated | Downloaded 08/01/22 01:16 AM UTC Mitchell 1998) is being increasingly utilized in conjunction with atmospheric models, such as the Weather Research and Forecasting (WRF; Skamarock et al. 2005) model, at increasingly smaller scales.”
MethodFine-scale model simulation of gravity waves generated by Basen nunatak in Antarctica
Valkonen, T., Vihma, T., Kirkwood, S., & Johansson, M. (2010) · doi:10.1111/j.1600-0870.2009.00443.x · Cited by 41
“for research and operational purposes (Skamarock et al., 2007).”
BackgroundMethodInfluentialEvaluations of BDA Scheme Using the Advanced Research WRF (ARW) Model
Xiao, Q., Chen, L.-Q., & Zhang, X. (2009) · doi:10.1175/2008jamc1994.1 · Cited by 41
“1 2009 American Meteorological Society As a replacement for MM5, the Advanced Research Weather Research and Forecasting (WRF) model (ARW; Skamarock et al. 2005) has been developed.”
BackgroundMethodXiao, Q., Kuo, Y., Ma, Z.-Z., Huang, W., Huang, X.-Y., Zhang, X., Barker, D., Michalakes, J., & Dudhia, J. (2008) · doi:10.1175/2008mwr2235.1 · Cited by 41
“It was one of the most severe wind events to strike McMurdo Station in recorded history (Powers 2007; Steinhoff et al. 2008).”
BackgroundSelf-citationDeGaetano, A., Belcher, B. N., & Spier, P. (2008) · doi:10.1175/2008waf2006106.1 · Cited by 41
Bukovsky, M., Gao, J., Mearns, L., & O'Neill, B. (2020) · Earth's Future · doi:10.1029/2020ef001782 · Cited by 40
“This study leverages 25-km resolution Weather Research and Forecasting (WRF; Skamarock et al., 2005) model version 3.5.1 simulations that were produced for NA-CORDEX to save on computational costs (Mearns et al., 2017).”
MethodInfluentialZhang, M., Luo, G., Cao, X.-S., Hamdi, R., Li, T., Cai, P., Ye, H., & He, H.-L. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2019jd030507 · Cited by 40
“However, most LSMs implemented in the RCMs, such as the frequently used Noah LSM coupled with the WRF, lack accurate dynamic irrigation processes (Skamarock et al., 2005).”
MethodCombination of WENO and Explicit Runge–Kutta Methods for Wind Transport in the Meso-NH Model
Lunet, T., Lac, C., Auguste, F., Visentin, F., Masson, V., & Escobar, J. (2017) · doi:10.1175/mwr-d-16-0343.1 · Cited by 40
Exploring the wakes of large offshore wind farms
Emeis, S., Siedersleben, S. K., Lampert, A., Platis, A., Bange, J., Djath, B., Stellenfleth, J. S., & Neumann, T. (2016) · doi:10.1088/1742-6596/753/9/092014 · Cited by 40
“The absence of a longer wake was confirmed by WRF [11] wind field simulations for that day (not shown) and fits to results from the analytical model [4].”
BackgroundMethodQuantifying local-scale dust emission from the Arabian Red Sea coastal plain
Anisimov, A., Tao, W.-C., Stenchikov, G., Kalenderski, S., Prakash, P. J., Yang, Z.-L., & Shi, M. (2016) · Atmospheric chemistry and physics · doi:10.5194/acp-17-993-2017 · Cited by 40
“The driving meteorological fields for CLM4 are provided by the WRF model (Skamarock et al., 2008) run at a 10 km× 10 km resolution over the Arabian Peninsula (8.06–34.6◦ N, 30.3–60.9◦ E) for the period of 2009–2011.”
MethodInfluentialMateus, P., Nico, G., & Catalao, J. P. S. (2015) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2015.2446758 · Cited by 40
“The Mellor–Yamada–Janjic turbulent kinetic energy scheme is used for the planetary boundary layer and the Betts–Miller–Janjic scheme of convection [30].”
MethodOgle, S. M., Davis, K. J., Lauvaux, T., Schuh, A. E., Cooley, D., West, T. O., Heath, L. S., Miles, N. L., Richardson, S. J., Breidt, F. J., et al. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/3/034012 · Cited by 40
“The regional inversion utilized the Weather Research and Forecast model for atmospheric transport (Skamarock et al 2005), Lagrangian particle dispersion model to associate surface fluxes and boundary conditions with atmospheric measurement data (Uliasz 1994), and a Bayesian style least squares…”
MethodDesigning optimal greenhouse gas observing networks that consider performance and cost
Lucas, D., Kwok, C. Y., Cameron-smith, P., Graven, H., Bergmann, D., Guilderson, T., Weiss, R., & Keeling, R. (2014) · doi:10.5194/gi-4-121-2015 · Cited by 40
“The archive was constructed using version 3.4 of the Weather Research and Forecasting model with coupled chemistry (WRF-Chem) (Grell et al., 2005), which uses the Advanced Research WRF dynamical core (Skamarock et al., 2005; Skamarock and Klemp, 2007).”
MethodInfluentialLi, L., Li, W.-H., & Jin, J.-M. (2014) · Climate Dynamics · doi:10.1007/s00382-013-2031-2 · Cited by 40
“2.3 Model descriptions and experiment setups The RCM used in this study is the WRF model with the Advanced Research WRF (ARW) dynamic core version 3.4 (Skamarock et al. 2008).”
MethodInfluentialXie, X.-N., Liu, X.-D., Peng, Y.-R., Wang, Y., Yue, Z., & Li, X.-Z. (2013) · doi:10.3402/tellusb.v65i0.19054 · Cited by 40
“…WRFmodel is a state-of-the-art mesoscale numerical weather prediction system, which can be suitable for a broad spectrum of applications across scales ranging from metres to thousands of kilometres, and can serve both operational forecasting and atmospheric research needs (Skamarock et al., 2005).”
BackgroundLi, J.-N., Wang, G., Lin, W., He, Q.-H., Feng, Y., & Mao, J. (2013) · doi:10.1016/j.atmosres.2012.08.015 · Cited by 40
WRF simulations of convectively generated gravity waves in opposite QBO phases
Evan, S., Alexander, M., & Dudhia, J. (2012) · doi:10.1029/2011jd017302 · Cited by 40
“[19] WRF version 3.1 is used for this study [Skamarock et al., 2005].”
MethodInfluentialSelf-citationEnvironmental Influences on the Strength of Tropical Storm Debby (2006)
Sippel, J., Braun, S., & Shie, C. (2011) · doi:10.1175/2011jas3648.1 · Cited by 40
“…an AEW. a. Forecast model and ensemble initialization The Advanced Research version of the Weather Research and Forecasting model version 2.2 (WRF; Skamarock et al. 2005), is used to capture the evolution of the system, from the pre-Debby wave over Africa through Debby’s intensification over the…”
MethodInfluentialOtkin, J. A., Hartung, D. C., Turner, D. D., Petersen, R. A., Feltz, W. F., & Janzon, E. (2011) · Monthly Weather Review · doi:10.1175/2011mwr3622.1 · Cited by 53
“The reader is referred to Skamarock et al. (2005) for a complete description of the WRF modeling system. b. Data assimilation system Assimilation experiments were conducted using the EnKF algorithm implemented in the Data Assimilation Research Testbed (DART) system developed at the National Center…”
MethodObservational Error Estimation of FORMOSAT-3/COSMIC GPS Radio Occultation Data
Chen, S.-Y., Huang, C.-Y., Kuo, Y., & Sokolovskiy, S. (2011) · doi:10.1175/2010mwr3260.1 · Cited by 40
“A description of the model can be found at the online (see http://wrf-model.org/index.php) as well as in Skamarock et al. (2005).”
BackgroundDependence of the precipitation intensity in mesoscale convective systems to temperature lapse rate
Takemi, T. (2010) · Atmospheric Research · doi:10.1016/j.atmosres.2009.09.002 · Cited by 40
“2 (Skamarock et al., 2005), which is a non-hydrostatic, compressible atmospheric model developed mainly at National Center for Atmospheric Research in the United States.”
BackgroundMethodInfluentialDong, N., Liu, Z., Luo, M., Fang, C., & Lin, H. (2019) · Earth s Future · doi:10.1029/2018ef000932 · Cited by 57
“Maintained and supported as a community model to facilitate the wide use for research and teaching in the academic community, it is suitable for applications across scales ranging from meters to thousands of kilometers (Skamarock et al., 2005).”
BackgroundNumerical study of sediment dynamics during hurricane Gustav
Zang, Z., Xue, Z., Bao, S., Chen, Q., Walker, N., Haag, A. S., Ge, Q., & Yao, Z.-G. (2018) · Ocean Modelling · doi:10.1016/j.ocemod.2018.04.002 · Cited by 39
Gayatri, K., Patade, S., & Prabha, T. (2017) · doi:10.1175/jas-d-17-0034.1 · Cited by 39
“Simulations were performed with the Weather Research and Forecasting (WRF) Model, version 3.6.1, developed at NCAR (Skamarock et al. 2005).”
InfluentialTracking an atmospheric river in a warmer climate: from water vapor to economic impacts
Dominguez, F., Dall’erba, S., Huang, S., Avelino, A., Mehran, A., Hu, H.-C., Schmidt, A., Schick, L. J., & Lettenmaier, D. (2017) · doi:10.5194/esd-9-249-2018 · Cited by 39
“Our atmospheric simulations of the December 2007 event used the Advanced Research version (ARW) of the WRF model (Skamarock et al., 2005), version 3.4.1, with two nested domains, one of 15 km and the inner domain of 3 km (Fig.”
MethodInfluentialLee, D., Min, S.-K., Jin, J., Lee, J.-W., Cha, D., Suh, M., Ahn, J.-B., Hong, S.-Y., Kang, H.-S., & Joh, M. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3566-4 · Cited by 39
de Marco, A., Sicard, P., Fares, S., Tuovinen, J., Anav, A., & Paoletti, E. (2016) · Atmospheric Environment · doi:10.1016/j.atmosenv.2016.09.066 · Cited by 39
“CHIMERE is forced by the Weather Research and Forecasting (WRF) model (Skamarock et al., 2008; De Meij et al., 2009; Sicard et al., 2012).”
MethodKinnon, M. M., Shaffer, B., Carreras-Sospedra, M., Dabdub, D., Samuelsen, G., & Brouwer, J. (2016) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2016.07.054 · Cited by 39
Isentropic Analysis of a Simulated Hurricane
Mrowiec, A., Pauluis, O., & Zhang, F.-Q. (2016) · doi:10.1175/jas-d-15-0063.1 · Cited by 39
“…WRF Model setup In this study, we apply isentropic analysis to an idealized hurricane simulation produced using theWeather Research and Forecasting (WRF) mesoscale numerical model with version 2.2 of the Advanced Research WRF dynamical solver (Skamarock et al. 2005) in a nested grid configuration.”
MethodInfluential“Prophetic vision, vivid imagination”: The 1927 Mississippi River flood
Smith, J. A., & Baeck, M. (2015) · doi:10.1002/2015wr017927 · Cited by 39
12 September 2012: A supercell outbreak in NE Italy?
Manzato, A., Davolio, S., Miglietta, M., Pucillo, A., & Setvák, M. (2015) · doi:10.1016/j.atmosres.2014.07.019 · Cited by 39
Zambon, J., He, R., & Warner, J. (2014) · doi:10.1002/2014gl061357 · Cited by 39
“Received 31 JUL 2014 Accepted 19 NOV 2014 Accepted article online 25 NOV 2014 Weather Research and Forecasting (WRF) model [Skamarock et al., 2005], and the Simulating Waves Nearshore (SWAN) model [Booij et al., 1999], respectively.”
BackgroundChambon, P., Zhang, S. Q., Hou, A., Zupanski, M., & Cheung, S. (2014) · doi:10.1002/qj.2215 · Cited by 39
“140: 1219–1235 (2014) Impact of Pre-GPM Microwave Precipitation Observations 1221 The Advanced Research WRF (ARW) model is incorporated in the assimilation system with mesoscale NWP configuration (Skamarock et al., 2005).”
MethodSijikumar, S., John, L., & Manjusha, K. (2013) · Meteorology and atmospheric physics (Print) · doi:10.1007/s00703-013-0238-8 · Cited by 39
Torn, R., & Cook, D. (2013) · doi:10.1175/mwr-d-12-00086.1 · Cited by 39
“2006), and similarity theory land surfacemodel (Skamarock et al. 2005) that includes the updated enthalpy andmomentum drag formulations described in Davis et al.”
BackgroundMethodInfluentialGilleland, E. (2013) · Monthly Weather Review · doi:10.1175/mwr-d-12-00155.1 · Cited by 39
“…with other spatial verification methods, the 32 verification sets containing Advanced Research Weather Research and Forecasting Model (ARW-WRF; Skamarock et al. 2005) and the Nonhydrostatic Mesoscale Model (NMM) forecasts paired with stage II analyses studied in Davis et al. (2009) and…”
MethodAchtemeier, G., Goodrick, S. L., & Liu, Y.-Q. (2012) · Atmosphere · doi:10.3390/atmos3030352 · Cited by 39
“Xindi Bian of the USDA Forest Service North Central Station provided the MM5 weather data and Mehemet Odman of the Georgia Institute of Technology provided the WRF weather data needed to initialize the models.”
MethodInfluentialHuman-induced changes in wind, temperature and relative humidity during Santa Ana events
Hughes, M., Hall, A., & Kim, J. (2011) · Climatic Change · doi:10.1007/s10584-011-0300-9 · Cited by 39
“1 (Skamarock et al. 2005).”
MethodInfluentialParameterization of Riming Intensity and Its Impact on Ice Fall Speed Using ARM Data
Lin, Y.-L., Donner, L., & Colle, B. (2011) · doi:10.1175/2010mwr3299.1 · Cited by 39
“To improve the simulation of clouds, prognostic bulk microphysical schemes have been used in general circulation models (GCMs) (e.g., Tiedtke 1993; Fowler et al. 1996) and numerical weather prediction models, such as the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005).”
BackgroundMethodModelling land cover change impact on the summer climate of the Marmara Region, Turkey
Sertel, E., Ormeci, C., & Robock, A. (2011) · doi:10.1504/ijgw.2011.038379 · Cited by 39
“We used the WRF (Skamarock et al., 2005) modelling system to conduct numerical simulations to analyse the impact of land cover change on regional climate of the region.”
MethodInfluentialImpact of airborne Doppler wind lidar profiles on numerical simulations of a tropical cyclone
Pu, Z., Zhang, L., & Emmitt, G. (2010) · doi:10.1029/2009gl041765 · Cited by 39
Lemone, M., Chen, F., Tewari, M., Dudhia, J., Geerts, B., Miao, Q., Coulter, R., & Grossman, R. (2010) · doi:10.1175/2009mwr3003.1 · Cited by 39
“The numerical simulations are done with the coupled Advanced Research Weather Research and Forecasting modeling system (ARW-WRF; Skamarock et al. 2005), initialized using the High-Resolution Land Data Assimilation System (HRLDAS; Chen et al. 2007), and coupled to the Noah land surface model (LSM;…”
MethodSelf-citationVizy, E., & Cook, K. (2009) · doi:10.1175/2009jas3064.1 · Cited by 39
“The model used to conduct the simulations for this study is the NCAR–NOAA WRF model (Skamarock et al. 2005).”
MethodLuo, Y.-L., Xu, K., Morrison, H., & McFarquhar, G. (2008) · doi:10.1175/2007jas2467.1 · Cited by 39
Kawase, H., Takao, Y., Hara, M., Ailikun, B., Kimura, F., & Yasunari, T. (2008) · doi:10.2151/sola.2008-019 · Cited by 39
Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction
Emmerson, K., Silver, J., Thatcher, M., Wain, A., Jones, P. J., Dowdy, A., Newbigin, E., Picking, B., Choi, J., Ebert, E., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249488 · Cited by 38
“1 of the Weather Research and Forecasting model (WRF) [33] using boundary conditions from National Centers for Environmental Prediction Final reanalyses (NCEP FNL) [34].”
MethodRomán-Cascón, C., Yagüe, C., Steeneveld, G., Morales, G., Arrillaga, J. A., Sastre, M., & Maqueda, G. (2019) · Atmospheric research · doi:10.1016/j.atmosres.2019.06.018 · Cited by 38
“1) (Skamarock et al., 2005) and the non-hydrostatic convection-permitting HARMONIE (HIRLAM ALADIN Research on Mesoscale Operational NWP In Euromed) model version”
BackgroundMethodInfluentialQin, M., Yu, H., Hu, Y.-T., Russell, A., Odman, M., Doty, K., Pour‐Biazar, A., McNider, R., & Knipping, E. (2019) · Atmospheric Environment · doi:10.1016/j.atmosenv.2019.01.025 · Cited by 38
“The CMAQ model (Byun and Schere, 2006) was applied to simulate O3 in the Great Lakes Region during July 2011, driven by the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005).”
MethodOne Step at a Time: How Model Time Step Significantly Affects Convection‐Permitting Simulations
Barrett, A. I., Wellmann, C., Seifert, A., Hoose, C., Vogel, B., & Kunz, M. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001418 · Cited by 61
“…splitting” (sometimes referred to as “additive splitting,” e.g., in the Weather Research and Forecasting, WRF, model documentation; Skamarock & Klemp, 2008; Skamarock et al., 2005); however, we use the term sequential-update splitting following the terminology of Donahue and Caldwell (2018).”
MethodKumar, R., Monache, L. D., Bresch, J., Saide, P., Tang, Y.-H., Liu, Z.-Q., Silva, A. M., Alessandrini, S., Pfister, G., Edwards, D., et al. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2018jd029009 · Cited by 38
Sante, F. D., Coppola, E., Farneti, R., & Giorgi, F. (2019) · Climate Dynamics · doi:10.1007/s00382-019-04612-8 · Cited by 38
“(2013) using the Weather Research and Forecasting (WRF; Wang et al.”
MethodSkill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222
Chambers, S., Guérette, É.-A., Monk, K., Griffiths, A., Zhang, Y., Duc, H., Cope, M., Emmerson, K., Chang, L., Silver, J., et al. (2018) · Atmosphere · doi:10.3390/atmos10010025 · Cited by 38
“1; [39]) at the University of Melbourne.”
Modelled salmon lice dispersion and infestation patterns in a sub-arctic fjord
Skarðhamar, J., Albretsen, J., Sandvik, A., Lien, V., Myksvoll, M., Johnsen, I., Asplin, L., Ådlandsvik, B., Halttunen, E., & Bjørn, P. (2018) · doi:10.1093/icesjms/fsy035 · Cited by 38
“A detailed description of the WRF model can be found in Skamarock et al. (2008).”
BackgroundShen, F.-F., Xue, M., & Min, J. (2017) · doi:10.1002/met.1663 · Cited by 38
“WRF model and radar data processing Version 3.5 of the WRF model (Skamarock et al., 2005) was employed to conduct numerical experiments.”
MethodInfluentialIshida, K., Görgüner, M., Ercan, A., Trinh, T., & Kavvas, M. L. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.03.086 · Cited by 38
Loughner, C. P., Tzortziou, M. A., Shroder, S., & Pickering, K. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2016jd025571 · Cited by 52
Diaconescu, E., Gachon, P., Laprise, R., & Scinocca, J. (2016) · ATMOSPHERE-OCEAN · doi:10.1080/07055900.2016.1185005 · Cited by 38
Garreaud, R., Falvey, M., & Montecinos, A. (2016) · doi:10.1175/jhm-d-15-0170.1 · Cited by 38
“To supplement the observational results, we performed a high-resolution numerical simulation using the WRF Model (version 3.2; Skamarock et al. 2005).”
MethodInfluentialWang, C.-C., Shin, Y.-H., Shin, H.-C., Chang, C.-S., & Tsuboki, K. (2016) · Weather and Forecasting · doi:10.1175/waf-d-15-0045.1 · Cited by 38
“This systemusesmainly theWeatherResearch andForecasting (WRF)Model (Skamarock et al. 2005) with a triply nested grid (Dx5 45, 15, and 5km), and the finemesh is 750km3 900km (Fig.”
BackgroundWang, C.-C. (2015) · doi:10.1175/mwr-d-14-00137.1 · Cited by 38
“As a fundamental property that can arise from the effects of rain-area size alone, the dependency is expected to exist in all models such as the Weather Research and Forecasting Model (Skamarock et al. 2005) with a similar setup.”
MethodModeling inorganic nitrogen deposition in Guangdong province, China
Huang, Z.-J., Wang, S., Zheng, J.-Y., Yuan, Z.-B., Ye, S., & Kang, D. (2015) · doi:10.1016/j.atmosenv.2015.03.014 · Cited by 38
Liu, N., Ling, T., Wang, H., Zhang, Y., Gao, Z., & Wang, Y. (2015) · Journal of Ocean University of China · doi:10.1007/s11802-015-2415-5 · Cited by 38
Wainwright, C., Bonin, T., Chilson, P., Gibbs, J. A., Fedorovich, E., & Palmer, R. (2015) · Boundary-layer Meteorology · doi:10.1007/s10546-014-0001-9 · Cited by 38
“The LES was nudged with output from a Weather Research and Forecasting (WRF, Skamarock et al. 2008) model run with a 4-km horizontal grid spacing, centered over the KAEFS site.”
MethodIngwersen, J., Imukova, K., Högy, P., & Streck, T. (2014) · doi:10.5194/bg-12-2311-2015 · Cited by 38
Impact of Doppler weather radar data on thunderstorm simulation during STORM pilot phase—2009
Prasad, S., Mohanty, U. C., Routray, A., Osuri, K., Ramakrishna, S., & Niyogi, D. (2014) · Natural Hazards · doi:10.1007/s11069-014-1250-0 · Cited by 38
“The model physics options and parameterization details are presented in Skamarock et al. (2008).”
BackgroundHailstorms in southwestern France: Incidence and atmospheric characterization
Merino, A., Wu, X.-K., Gascón, E., Berthet, C., García-Ortega, E., & Dessens, J. (2014) · doi:10.1016/j.atmosres.2014.01.015 · Cited by 38
Assessment of sewer flooding model based on ensemble quantitative precipitation forecast
Lee, C.-S., Ho, H.-Y., Lee, K., Wang, Y.-C., Guo, W., Chen, D., Hsiao, L.-F., Chen, C.-H., Chiang, C.-C., Yang, M.-J., et al. (2013) · doi:10.1016/j.jhydrol.2012.09.053 · Cited by 38
Trail, M. A., Tsimpidi, A. P., Liu, P., Tsigaridis, K., Hu, Y., Nenes, A., Stone, B., & Russell, A. G. (2013) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd020356 · Cited by 36
“…(or decreases in the projected warming trend) [Bull, 1996; Leiby and Rubin, 2003], the implications of LULCCwith regard to climate change are less understood [Akhtar et al., 2008; IPCC (Intergovernmental Panel on Climate Change), 2007; Song et al., 2008; Skamarock et al., 2005; Stooksbury, 2008].”
BackgroundMarras, S., Moragues, M., Vázquez, M., Jorba, O., & Houzeaux, G. (2013) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.10.056 · Cited by 38
“In Table 2, the results relative to the Advanced Research Weather Research and Forecasting modeling system (WRF-ARW) [59] were obtained by [52] using fifth- and third-order FD in the horizontal and vertical directions, respectively, and adding artificial viscosity with diffusivity coefficient K = 15m2 s−1 to preserve…”
ResultSeasonal variations in N2O emissions from central California
Jeong, S., Zhao, C., Andrews, A. E., Dlugokencky, E. J., Sweeney, C., Bianco, L., Wilczak, J. M., & Fischer, M. L. (2012) · Geophysical Research Letters · doi:10.1029/2012gl052307 · Cited by 41
“2) model [Skamarock et al., 2005], which has been slightly modified to be coupled with STILT [Nehrkorn et al.”
MethodInfluentialZhang, Y., Hemperly, J., Meskhidze, N., & Skamarock, W. (2012) · doi:10.4236/acs.2012.23024 · Cited by 38
“The Weather Research and Forecasting (WRF) model has been developed by the National Center for Atmospheric Research (NCAR) to improve weaknesses of the Mesoscale Meteorological Model, Version 5 (MM5) and provide a flexible and portable open-source community model for both atmospheric research and operational forecasti…”
MethodSelf-citationNoel, V., & Pitts, M. (2012) · doi:10.1029/2011jd017318 · Cited by 38
“[8] TheWeather Research and Forecast model [Skamarock et al., 2005], WRF v. 3.2.1, ran on a 100 100 grid cells domain centered on the Peninsula, with 20 km horizontal resolution and 120 vertical levels.”
MethodInfluentialVoss, P., Zaveri, R., Flocke, F., Mao, H., Hartley, T., Deamicis, P., Deonandan, I., Contreras-Jim'enez, G., Mart'ınez-Antonio, O., Estrada, M., et al. (2010) · doi:10.5194/acp-10-7137-2010 · Cited by 38
Sensitivity analyses of OH missing sinks over Tokyo metropolitan area in the summer of 2007
Chatani, S., Shimo, N., Matsunaga, S., Kajii, Y., Kato, S., Nakashima, Y., Miyazaki, K., Ishii, K., & Ueno, H. (2009) · doi:10.5194/acp-9-8975-2009 · Cited by 38
“2.2.1 (Skamarock et al., 2005) is used to prepare meteorological fields.”
MethodInfluentialKirkwood, S., Mihaliková, M., Rao, T.-N., & Satheesan, K. (2009) · doi:10.5194/acp-10-3583-2010 · Cited by 38
“In this study we will use the Advanced Research Weather Research and Forecasting model (WRF-ARW,Skamarock et al., 2005, 2007), which has already been applied with considerable success to modelling mountain waves at highlatitudes (Pluogonven et al., 2008), and we will use radiosondes and atmospheric…”
MethodInfluentialColle, B., Lin, Y.-L., Medina, S., & Smull, B. (2008) · doi:10.1175/2008mwr2369.1 · Cited by 38
“All simulations used the positive definite advective (PDA) scheme in WRF v2.2 for the moisture and hydrometeor advection ( Skamarock 2006 ).”
MethodSensitivity of WRF Forecasts for South Florida to Initial Conditions
Etherton, B., & Santos, P. (2008) · Weather and Forecasting · doi:10.1175/2007waf2006115.1 · Cited by 38
“Skamarock et al. (2005) highlight the major features of version 2 of the ARW system.”
BackgroundA Neural Network Post-processing Approach to Improving NWP Solar Radiation Forecasts
Lauret, P., Diagne, M., & David, M. (2014) · doi:10.1016/j.egypro.2014.10.089 · Cited by 38
Lightning forecasting in southeastern Brazil using the WRF model
Zepka, G. S., Pinto, O., & Saraiva, A. V. (2014) · doi:10.1016/j.atmosres.2013.01.008 · Cited by 38
Wang, M.-J., Zhao, K., Pan, Y.-J., & Xue, M. (2020) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2019jd031527 · Cited by 37
“In this study, TyphoonMatmo (2014) is simulated using four different bulkMP schemes in theWRFmodel and the results are verified against observations collected by a polarimetric radar and a 2DVD.”
MethodInfluentialMeteorological modeling relevant to mesoscale and regional air quality applications: a review
McNider, R., & Pour‐Biazar, A. (2019) · Journal of the Air and Waste Management Association · doi:10.1080/10962247.2019.1694602 · Cited by 37
Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India
Nakoudi, K., Giannakaki, E., Dandou, A., Tombrou, M., & Komppula, M. (2019) · Atmospheric Measurement Techniques · doi:10.5194/amt-12-2595-2019 · Cited by 37
“1 (Skamarock et al., 2005) was also applied in order to determine the PBLH.”
MethodMinda, T. T., van der Molen, M., Struik, P., Combe, M., Jiménez, P., Khan, M. R., & de Arellano, J. V. (2018) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2018.07.009 · Cited by 37
“The numerical atmospheric model experiment employed the WRF model, version 3.4.1 (Skamarock et al., 2005).”
MethodInfluentialEvaluation of planetary boundary layer simulations for wind resource study in east of Iran
Penchah, M. M., Malakooti, H., & Satkin, M. (2017) · doi:10.1016/j.renene.2017.03.040 · Cited by 37
Synoptic analysis and urban signatures of a heavy rainfall on 7 August 2015 in Beijing
Yu, M., Miao, S., & Li, Q.-C. (2017) · doi:10.1002/2016jd025420 · Cited by 37
Torn, R. (2016) · doi:10.1175/mwr-d-16-0108.1 · Cited by 37
“…has focused around probabilistic prediction of TC track (e.g., Majumdar and Finocchio 2010; Reynolds et al. 2011a; Dupont et al. 2011; Hamill et al. 2011; Lang et al. 2012), or TC genesis (e.g., Elsberry et al. 2010; Snyder et al. 2010; Majumdar and Torn 2014; Komaromi and Majumdar 2015).”
BackgroundWeather Features Associated with Aircraft Icing Conditions: A Case Study
Fernández-González, S., Sánchez, J., Gascón, E., López, L., García-Ortega, E., & Merino, A. (2014) · TheScientificWorldJournal · doi:10.1155/2014/279063 · Cited by 37
Oshima, N., Koike, M., Kondo, Y., Nakamura, H., Moteki, N., Matsui, H., Takegawa, N., & Kita, K. (2013) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd020262 · Cited by 36
“2) [Skamarock et al., 2005], was used to calculate the spatial distributions of mass concentration of BC and its regional-scale transport.”
MethodInfluentialSimulating 3-D radiative transfer effects over the Sierra Nevada Mountains using WRF
Gu, Y., Liou, K., Lee, W.-L., & Leung, L. (2012) · doi:10.5194/acp-12-9965-2012 · Cited by 37
“We have incorporated this parameterization into the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) to 20 investigate the impact of 3-D mountains over the Sierra Nevada areas on the simulated surface solar insolation patterns and associated sensible and latent heat fluxes, as well as the surface…”
BackgroundMethodHerron-Thorpe, F., Mount, G., Emmons, L., Lamb, B., Chung, S., & Vaughan, J. (2012) · doi:10.5194/acp-12-5603-2012 · Cited by 37
Seaman, N., Gaudet, B., Stauffer, D., Mahrt, L., Richardson, S., Zielonka, J. R., & Wyngaard, J. (2012) · Monthly Weather Review · doi:10.1175/mwr-d-11-00061.1 · Cited by 37
Jung, B.-J., Kim, H., Zhang, F.-Q., & Wu, C.-C. (2012) · doi:10.3402/tellusa.v64i0.14984 · Cited by 37
“4For the quality control (QC; e.g. gross check and consistency check) of observations, the pre-processes of WRF data assimilation system are used (Skamarock et al., 2005). and TC best track information on the TC track forecast (Table 2).”
MethodInfluentialSuselj, K., & Sood, A. (2010) · doi:10.1007/s10546-010-9502-3 · Cited by 37
“In our study, the MLS implemented in the MY level-2.5 model in the boundary layer, and the MY level-2 in the surface layer as part of the Weather Research and Forecasting Model (WRF)–Advanced Research WRF (ARW), Version 2 ( Skamarock et al. 2005 )b y Janji´c (2002) (therefore MYJ model), was modified based on the appr…”
BackgroundMethodInfluentialNonlinear development of inertial instability in a barotropic shear
Plougonven, R., & Zeitlin, V. (2009) · doi:10.1063/1.3242283 · Cited by 37
Forecasting wind gusts in complex terrain
Ágústsson, H., & Ólafsson, H. (2009) · doi:10.1007/s00703-008-0347-y · Cited by 37
“the WRF-model (Skamarock et al. 2005), with different dynamics.”
BackgroundMethodInfluential
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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