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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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Patel, P., Karmakar, S., Ghosh, S., & Niyogi, D. (2020) · Urban Climate · doi:10.1016/j.uclim.2020.100616 · Cited by 65
Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment
Patel, P., Ghosh, S., Kaginalkar, A., Islam, S., & Karmakar, S. (2019) · Atmospheric research · doi:10.1016/j.atmosres.2019.03.005 · Cited by 65
Imran, H. M., Kala, J., Ng, A., & Muthukumaran, S. (2019) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.3580 · Cited by 65
“A commonly used numerical modeling tool is Weather Research and Forecasting (WRF: Skamarock et al., 2005), coupled to the Single-Layer Urban Canopy Model (SLUCM: Kusaka et al., 2001), which has been used to investigate the response of urban meteorology to land-use changes, including urbanization,…”
MethodAssessment of the Indian summer monsoon in the WRF regional climate model
Raju, A., Parekh, A., Chowdary, J., & Gnanaseelan, C. (2015) · Climate Dynamics · doi:10.1007/s00382-014-2295-1 · Cited by 65
Gao, Y.-H., Leung, L. R., Zhang, Y.-X., & Lan, C. (2015) · doi:10.1175/jcli-d-14-00581.1 · Cited by 65
“The Weather Research and Forecasting (WRF) Model (http://www.wrf-model.org/index.php; Skamarock et al. 2005) was used in the high-resolution regional climate simulation.”
MethodKikumoto, H., Ooka, R., Arima, Y., & Yamanaka, T. (2015) · doi:10.1016/j.scs.2014.08.007 · Cited by 65
Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts
Johnson, A., Wang, X.-G., Kong, F., & Xue, M. (2013) · doi:10.1175/mwr-d-13-00027.1 · Cited by 65
“The upgrade from version 3.0.1 to 3.1.1 in 2010 included an upgrade from the WRF version 2 Thompson microphysics scheme (Skamarock et al. 2005) to the WRF version 3 Thompson microphysics scheme (Skamarock et al. 2008).”
MethodInfluentialPrediction of In-Cloud Icing Conditions at Ground Level Using the WRF Model
Nygaard, B., Kristjánsson, J., & Makkonen, L. (2011) · doi:10.1175/jamc-d-11-054.1 · Cited by 65
“1 (Skamarock et al. 2005).”
InfluentialWu, L., Bocquet, M., Lauvaux, T., Chevallier, F., Rayner, P. J., & Davis, K. J. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2011jd016198 · Cited by 65
“[ 40 ] The atmospheric transport is simulated using the meteorological WRF model [ Skamarock et al. , 2005] with a horizontal resolution of 10 km.”
MethodAtmospheric effects of the Kuroshio large meander during 2004-05.
Xu, H.-M., Tokinaga, H., & Xie, S.-P. (2010) · doi:10.1175/2010jcli3267.1 · Cited by 65
“Our budget analysis is similar to those of Small et al. (2003) and Koseki and Watanabe (2010).”
BackgroundResultWheatley, D. M., & Trapp, R. (2008) · doi:10.1175/2008mwr2294.1 · Cited by 65
Pu, Z., Li, X.-L., Velden, C., Aberson, S., & Liu, W. T. (2008) · Weather and Forecasting · doi:10.1175/2007waf2007006.1 · Cited by 65
“…cumulus parameterization (Betts and Miller 1986), Ferrier microphysics scheme, Yonsei University (YSU) planetary boundary layer parameterization (Skamarock et al. 2005; Hong and Pan 1996), and the Rapid Radiative Transfer Model (RRTM; Mlawer et al. 1997) longwave and Dudhia shortwave…”
BackgroundMethodInfluentialImpact of biomass burning on pollutants surface concentrations in megacities of the Gulf of Guinea
Menut, L., Flamant, C., Turquety, S., Deroubaix, A., Chazette, P., & Meynadier, R. (2017) · doi:10.5194/acp-2017-852 · Cited by 65
Disentangling the Mesoscale Ocean‐Atmosphere Interactions
Renault, L., Masson, S., Oerder, V., Jullien, S., & Colas, F. (2019) · Journal of Geophysical Research - Oceans · doi:10.1029/2018jc014628 · Cited by 64
“The atmospheric component is the Weather Research and Forecasting (WRF) version 3.3.1, which solves compressible, nonhydrostatic Euler equations with the Advanced Research WRF (ARW) dynamical solver (Skamarock et al., 2005).”
MethodInfluentialMaximizing Throughput on a Dragonfly Network
Jain, N., Bhatele, A., Ni, X., Wright, N., & Kalé, L. (2014) · International Conference for High Performance Computing, Networking, Storage and Analysis · doi:10.1109/sc.2014.33 · Cited by 64
“It represents a two-dimensional stencil-based communication found in many applications such as WRF [28].”
BackgroundExploiting performance counters to predict and improve energy performance of HPC systems
Chetsa, G. L. T., Lefèvre, L., Pierson, J., Stolf, P., & Costa, G. D. (2014) · Future generations computer systems · doi:10.1016/j.future.2013.07.010 · Cited by 64
“For the experiments, we use three benchmarks (LU, BT and SP) from NPB suite and two real-life applications: Molecular Dynamics Simulation (MDS) [27] and the Advance Research Weather Research and Forecasting (WRF-ARW) model [28, 23].”
MethodA Theory for Buoyancy and Velocity Scales in Deep Moist Convection
Parodi, A., & Emanuel, K. (2009) · Journal of the Atmospheric Sciences · doi:10.1175/2009jas3103.1 · Cited by 64
“For a comprehensive description of this model, the reader is referred to Skamarock et al. (2005).”
BackgroundRain shadow development during the growth of mountain ranges: An atmospheric dynamics perspective
Galewsky, J. (2009) · doi:10.1029/2008jf001085 · Cited by 64
Mistral and Tramontane wind speed and wind direction patterns in regional climate simulations
Obermann-Hellhund, A., Bastin, S., Belamari, S., Conte, D., Gaertner, M., Li, L. Z. X., & Ahrens, B. (2018) · Climate Dynamics · doi:10.1007/s00382-016-3053-3 · Cited by 63
“An introduction to WRF 3 is given in Skamarock et al. (2008).”
BackgroundBurkart, J., Willis, M. D., Bozem, H., Thomas, J. L., Law, K. S., Hoor, P. M., Aliabadi, A. A., Köllner, F., Schneider, J., Herber, A., et al. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-5515-2017 · Cited by 70
Briant, R., Tuccella, P., Deroubaix, A. M., Khvorostyanov, D., Menut, L., Mailler, S., & Turquéty, S. (2017) · Geoscientific model development · doi:10.5194/gmd-10-927-2017 · Cited by 77
“The WRF model is used in its non-hydrostatic configuration (Skamarock et al., 2007) and forced every 3 h by the meteorological analysis data of NCEP/GFS (Kalnay et al.”
BackgroundMethodInfluentialGhotbi, S., Sotoudeheian, S., & Arhami, M. (2016) · Atmospheric Environment · doi:10.1016/j.atmosenv.2016.06.057 · Cited by 68
Gao, Y., Leung, L.-Y. R., Salathé, E. P., Domínguez, F., Nijssen, B., & Lettenmaier, D. P. (2012) · Geophysical Research Letters · doi:10.1029/2012gl051560 · Cited by 67
“All RCM simulations were performed using the Weather Research & Forecasting (WRF) model [Skamarock et al., 2005].”
MethodHuang, M., Carmichael, G., Adhikary, B., Kulkarni, S., Cheng, Y.-F., Wei, C., Tang, Y.-H., Parrish, D., Oltmans, S., D'Allura, A., et al. (2010) · doi:10.5194/acp-10-6947-2010 · Cited by 63
“…study, meteorology fields for all three grids were generated by the Advanced Research Weather Research & Forecasting Model (WRF-ARW) Version 2.2.1 (Skamarock et al., 2007) with forecast and reanalyzed meteorological inputs (Mesinger et al., 2006) for the 60 km and 12 km simulations, respectively.”
BackgroundMethodInfluentialThe Influence of the Andes on Cutoff Lows: A Modeling Study*
Garreaud, R., & Fuenzalida, H. (2007) · doi:10.1175/mwr3350.1 · Cited by 63
Mitigation of urban heat stress - a modelling case study for the area of Stuttgart
Fallmann, J., Emeis, S. M., & Suppan, P. (2013) · Die Erde · doi:10.12854/erde-144-15 · Cited by 63
“In the current study, the numerical mesoscale Weather Research and Forecasting Model WRF 3.4 (Skamarock et al. 2005) is used to analyse the urban climate on a regional scale.”
MethodInfluentialHuang, L., Zhu, Y.-H., Zhai, H., Xue, S., Zhu, T., Shao, Y., Liu, Z.-Y., Emery, C., Yarwood, G., Wang, Y.-J., et al. (2021) · Atmospheric Chemistry and Physics · doi:10.5194/acp-21-2725-2021 · Cited by 62
“Meteorological data were mostly simulated by the Weather Research Forecasting (WRF) model (Skamarock et al., 2005) in our compiled studies; the Fifth Generation Penn State/NCAR Mesoscale Model (MM5) (Grell et al., 1994) and the Regional Atmospheric Modeling system (RAMS) were used in a few studies.”
Analysis of total column CO 2 and CH 4 measurements in Berlin with WRF-GHG
Zhao, X., Marshall, J., Hachinger, S., Gerbig, C., Frey, M., Hase, F., & Chen, J. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-11279-2019 · Cited by 68
“…3.2 coupled with GHG modules to quantify the uptake and emission of atmospheric GHGs around Berlin at a high resolution of 1 km. WRF follows the fully compressible nonhydrostatic Euler equations (Skamarock et al., 2005, 2008) and is based on the actual meteorological data in this case study.”
BackgroundInfluentialSharma, A. S., Woodruff, S., Budhathoki, M., Hamlet, A. F., Chen, F., & Fernando, H. J. S. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aad93c · Cited by 74
“8, Skamarock et al 2005, Chen et al 2011, Sharma and Huang 2012, Kulkarni et al 2016, Sharma et al 2017).”
BackgroundHeat wave and cold spell changes in Iberia for a future climate scenario
Pereira, S. C., Marta‐Almeida, M., Carvalho, A. C., & Rocha, A. C. (2017) · International Journal of Climatology · doi:10.1002/joc.5158 · Cited by 73
“5 (Skamarock et al., 2005) was used to dynamically downscale climate data from the Max Planck Institute Earth System Model (MPI-ESM-LR) to a high-resolution (9-km) climatic grid over IP (Figure 1(a)), for a recent-past climate (1986–2005).”
MethodSrivastava, P., Islam, T., Gupta, M., Petropoulos, G., & Dai, Q. (2015) · Water resources management · doi:10.1007/s11269-015-0940-z · Cited by 62
“, the Weather Research Forecast (WRF) model was released to the research community (Skamarock et al. 2005).”
MethodO’Brien, T. A., Li, F., Collins, W., Rauscher, S., Ringler, T., Taylor, M. A., Hagos, S. M., & Leung, L. (2013) · Journal of Climate · doi:10.1175/jcli-d-13-00005.1 · Cited by 62
“Additionally, we show that the Weather Research and Fore-casting (WRF) model behaves similarly when used with the CAM4 parameterization suite, indicating that this problem likely originates in one or more of the CAM4 parameterizations.”
InfluentialMahoney, K. M., Alexander, M., Scott, J. D., & Barsugli, J. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00744.1 · Cited by 62
Pryor, S., Barthelmie, R., & Schoof, J. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jd017449 · Cited by 62
Lehmann, C., Kim, Y.-H., Preusse, P., Chun, H., Ern, M., & Kim, S. (2012) · doi:10.5194/amt-5-1637-2012 · Cited by 62
Three‐dimensional properties of Andes mountain waves observed by satellite: A case study
Alexander, M., & Téitelbaum, H. (2011) · doi:10.1029/2011jd016151 · Cited by 62
“[ 12 ] Weather Research Forecasting model (WRF [ Skamarock et al. , 2005]) simulations are configured to investigate whether the waves seen in the satellite data are orographic waves.”
Growth of Spread in Convection-Allowing and Convection-Parameterizing Ensembles
Clark, A., Gallus, W., Xue, M., & Kong, F. (2010) · doi:10.1175/2009waf2222318.1 · Cited by 62
Qian, Y., Ghan, S., & Leung, L. R. (2009) · doi:10.1002/joc.1928 · Cited by 62
“WRF regional climate model The RCM used in this study is based on the Weather Research and Forecasting (WRF) model version 2.2 (Skamarock et al., 2005).”
MethodInfluentialPotential Vorticity Diagnosis of a Tropopause Polar Cyclone
Cavallo, S. M., & Hakim, G. (2009) · doi:10.1175/2008mwr2670.1 · Cited by 62
“…to estimate the diabatic terms in the PV budget as described in section 3. a. Numerical model We use the Advanced Research Weather (ARW) version of the Weather Research and Forecasting (WRF) model, version 2.1.2 (Skamarock et al. 2005), and the WRF Standard Initialization (WRF-SI), version 2.1.”
MethodInfluentialRisk and Exposure to Extreme Heat in Microclimates of Phoenix, AZ
Ruddell, D. M., Harlan, S. L., Grossman‐Clarke, S., & Buyantuev, A. (2009) · Springer eBooks · doi:10.1007/978-90-481-2238-7_9 · Cited by 59
The inequality labor loss risk from future urban warming and adaptation strategies
He, C., Zhang, Y., Schneider, A., Chen, R.-J., Zhang, Y., Ma, W.-C., Kinney, P., & Kan, H.-D. (2022) · Nature Communications · doi:10.1038/s41467-022-31145-2 · Cited by 61
Duan, W., & Huo, Z. (2016) · doi:10.1175/jas-d-15-0138.1 · Cited by 61
“Therefore, to demonstrate the superiority of CNOPs in ensemble forecasting compared to RPs, realistic weather models, such as the Fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5; Dudhia 1993) or Weather Research and Forecasting (WRF; Skamarock et al. 2005) M…”
MethodSingh, R. S., Reager, J., Miller, N. L., & Famiglietti, J. (2015) · doi:10.1002/2014wr015686 · Cited by 61
“…including COSMO-CLM [Meissner and Gerd, 2009], and the NASA Land Information System (LIS) [Kumar et al., 2006], and at catchment scales approaching even higher resolution [Christensen et al., 1998; Giorgi, 1990; Jin et al., 2010; Jones et al., 1995; Rigon et al., 2006; Skamarock et al., 2005].”
BackgroundPan, Y., Zhu, K., Xue, M., Wang, X., Hu, M., Benjamin, S. G., Weygandt, S. S., & Whitaker, J. S. (2014) · Monthly Weather Review · doi:10.1175/mwr-d-13-00242.1 · Cited by 77
Climate change projection of snowfall in the Colorado River Basin using dynamical downscaling
Wi, S., Dominguez, F., Durcik, M., Valdés, J., Diaz, H. F., & Castro, C. (2012) · doi:10.1029/2011wr010674 · Cited by 61
“…an important consideration given the strong influence of ENSO-PDO on precipitation variability in the western U.S. [12] The HadCM3 global data was used as forcing for the Advanced Research version (ARW) of the Weather Research and Forecasting (WRF) regional climate model [Skamarock et al., 2005].”
MethodBraun, S., Montgomery, M., Mallen, K., & Reasor, P. (2010) · doi:10.1175/2009jas3140.1 · Cited by 61
“…State University–National Center for Atmospheric Research (NCAR) Mesoscale Model (MM5) similarity-theory surface-layer scheme (Zhang and Anthes 1982; Skamarock et al. 2005), the Noah land surface scheme (Chen and Dudhia 2001), the Kain–Fritsch cumulus scheme (Kain and Fritsch 1990, 1993;…”
BackgroundMethodInfluentialOtkin, J., Greenwald, T., Sieglaff, J., & Huang, H.-L. (2009) · doi:10.1175/2009jamc2142.1 · Cited by 61
Frehlich, R., & Sharman, R. (2008) · Monthly Weather Review · doi:10.1175/2007mwr2250.1 · Cited by 61
“For these studies the Advanced Research WRF (ARW) dynamical core (Skamarock et al. 2005) was used with a grid spacing of 13.3 km and 50 vertical levels.”
MethodInfluentialThe influence of residential and workday population mobility on exposure to air pollution in the UK.
Reis, S., Liška, T., Vieno, M., Carnell, E., Beck, R., Clemens, T., Dragosits, U., Tomlinson, S., Leaver, D., & Heal, M. (2018) · Environment International · doi:10.1016/j.envint.2018.10.005 · Cited by 60
Da, F., Friedrichs, M. A. M., & St‐Laurent, P. (2018) · Journal of Geophysical Research Oceans · doi:10.1029/2018jc014009 · Cited by 67
“The meteorological information derived from the Weather Research and Forecasting 3.4 model (Skamarock et al., 2008) and CB05TU chemistry mechanisms (Sarwar et al., 2013) are required inputs for CMAQ.”
MethodInfluentialSpatial and temporal variability of winds in the Northern European Seas
Karagali, I., Badger, M., Hahmann, A., Peña, A., Hasager, C., & Sempreviva, A. (2013) · doi:10.1016/j.renene.2013.01.017 · Cited by 60
Stuefer, M., Freitas, S. R., Grell, G., Webley, P. W., Peckham, S. E., McKeen, S. A., & Egan, S. (2013) · Geoscientific model development · doi:10.5194/gmd-6-457-2013 · Cited by 70
“…were produced with a developmental version of WRF-Chem 3.3.1 (Grell et al., 2005) which employs the Advanced Research WRF dynamical core (ARW, Skamarock et al., 2005) with the following parameterizations of physical processes: Mellor-Yamada-Janji´c (MYJ) boundary layer parameterization…”
InfluentialPan, L.-L., Chen, S.-H., Cayan, D., Lin, M.-Y., Hart, Q., Zhang, M.-H., Liu, Y.-B., & Wang, J.-Z. (2011) · Climate Dynamics · doi:10.1007/s00382-010-0961-5 · Cited by 60
Montgomery, M., Wang, Z., & Dunkerton, T. (2009) · doi:10.5194/acp-10-10803-2010 · Cited by 60
“…and infrequently sampled cloud-system and cloud-scale process (meso-beta and meso-gamma, including VHTs) q Model and eClieriment design q A W qq model The numerical model used is the Weather Research and Fore-casting (WRF) model, developed and maintained by NCAR (Skamarock et al., 2005).”
InfluentialKumar, P., & Varma, A. K. (2017) · doi:10.1002/qj.2929 · Cited by 60
“The Weather Research and Forecasting (WRF) model customized in this study is a non-hydrostatic, mass-based terrain-following sigma coordinate mesoscale model (Skamarock et al., 2005).”
MethodSmets, B., d'Oreye, N., Kervyn, F., Kervyn, M., Albino, F., Arellano, S., Bagalwa, M., Balagizi, C., Carn, S., Darrah, T., et al. (2013) · Bulletin of Volcanology · doi:10.1007/s00445-013-0787-1 · Cited by 60
“It uses global circulation model (GCM) datasets as an input to give the initial and boundary conditions for an atmospheric simulation run where many parameters, including wind, are calculated (Skamarock et al. 2005).”
MethodHong, S.-Y., Lim, K.-S. S., Kim, J.-H., Lim, J.-O. J., & Dudhia, J. (2009) · Journal of Applied Meteorology and Climatology · doi:10.1175/2008jamc1960.1 · Cited by 60
Self-citationRegional climate change projections from NA-CORDEX and their relation to climate sensitivity
Bukovsky, M., & Mearns, L. (2020) · Climatic Change · doi:10.1007/s10584-020-02835-x · Cited by 59
“Table 1 Regional climate models used in this analysis Acronym Model name Contributing institution(s) Major reference(s) 1 CanRCM4 Canadian Regional Climate Model version 4 Canadian Centre for Climate Modelling and Analysis (CCCma) Scinocca et al. 2016 2 HIRHAM5 High-Resolution Limited Area Model with ECHAM physics, ve…”
BackgroundInfluentialMa, J., Lin, W.-L., Zheng, X.-D., Xu, X.-B., Li, Z.-Q., & Yang, L.-L. (2014) · Atmospheric chemistry and physics · doi:10.5194/acp-14-5311-2014 · Cited by 59
Jiménez, P., Dudhia, J., González-Rouco, J. F., Montávez, J., García-Bustamante, E., Navarro, J., de Arellano, J. V., & Muñoz-Roldan, A. (2013) · doi:10.1002/jgrd.50585 · Cited by 59
“CFN1 was performed with WRF version 2.1.2 [Skamarock et al., 2005], whereas CFN2 used WRF version 3.1.1 [Skamarock et al., 2008].”
MethodInfluentialSelf-citationObjective Classification of Tornadic and Nontornadic Severe Weather Outbreaks
Mercer, A., Shafer, C., Doswell, C., Leslie, L., & Richman, M. (2009) · doi:10.1175/2009mwr2897.1 · Cited by 59
“These top 50 events are simulated with the Weather and Research Forecast model (WRF; Skamarock et al. 2005) initialized with synoptic-scale input.”
MethodMultirate infinitesimal step methods for atmospheric flow simulation
Wensch, J., Knoth, O., & Galant, A. (2009) · doi:10.1007/s10543-009-0222-3 · Cited by 59
Fabry, F., & Sun, J.-Z. (2010) · Monthly Weather Review · doi:10.1175/2009mwr2883.1 · Cited by 59
“The tool used was the Advanced Research Weather Research and Forecasting (WRF) model, version 2.2 (Skamarock et al. 2005), with Thompson et al. (2004) microphysics, the Yonsei University PBL, the radiation scheme following Mlawer et al. (1997) for the longwave and the approach used by Dudhia (1989)…”
MethodInfluentialA forecasting model for wave heights based on a long short-term memory neural network
Gao, S., Huang, J., Li, Y., Liu, G., Bi, F., & Bai, Z. (2021) · Acta Oceanologica Sinica · doi:10.1007/s13131-020-1680-3 · Cited by 70
Rummler, T., Arnault, J., Gochis, D., & Kunstmann, H. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2018jd029004 · Cited by 58
“Likewise, Maxwell et al. (2011) coupled the hydrologic model ParFlow with the Weather Research and Forecasting (WRF) model (Skamarock et al., 2005) and applied it to the Little Washita watershed in the southern Great Plains.”
BackgroundMethodDelaying precipitation by air pollution over the Pearl River Delta: 2. Model simulations
Lee, S. S., Guo, J., & Li, Z. (2016) · Journal of Geophysical Research Atmospheres · doi:10.1002/2015jd024362 · Cited by 70
A method for probabilistic flash flood forecasting
Hardy, J., Gourley, J., Kirstetter, P., Yang, H., Kong, F., & Flamig, Z. (2016) · Journal of Hydrology · doi:10.1016/j.jhydrol.2016.04.007 · Cited by 58
“…the CAPS ensemble had 24 members: 18 members that were pro-140 duced using the Weather Research and Forecast (WRF) Advanced Research WRF core (ARW; Skamarock et al. 2005), four members produced using the WRF Nonhydrostatic Mesoscale Model (NMM; Janjic 2003), one member produced using the CAPS…”
MethodThe Genesis of Mesovortices within a Real-Data Simulation of a Bow Echo System
Xu, X., Xue, M., & Wang, Y. (2015) · doi:10.1175/jas-d-14-0209.1 · Cited by 58
“The Advanced Research version of the Weather Research and Forecasting Model (ARW; Skamarock et al. 2005) is used to produce the real-data, convectionresolving numerical simulation of the 8 May 2009 bow echo case.”
MethodWave energy balance in wave models (SWAN) for semi-enclosed domains–Application to the Catalan coast
Pallarés, E., Sánchez-Arcilla, A., & Espino, M. (2014) · doi:10.1016/j.csr.2014.03.008 · Cited by 58
Webley, P., Steensen, T., Stuefer, M., Grell, G., Freitas, S., & Pavolonis, M. (2012) · doi:10.1029/2011jd016817 · Cited by 58
The Influence of Shallow Convection on Tropical Cyclone Track Forecasts
Torn, R., & Davis, C. (2012) · doi:10.1175/mwr-d-11-00246.1 · Cited by 58
“…Wang et al. 2004; de Szoeke et al. 2006), other studies have shown this process is an important component of the Madden–Julian oscillation (e.g., Johnson et al. 1999; Benedict and Randall 2007), and other convectively coupled equatorial waves (e.g., Straub and Kiladis 2002; Kiladis et al. 2009).”
BackgroundSimulating cold season snowpack: Impacts of snow albedo and multi-layer snow physics
Waliser, D., Kim, J., Xue, Y.-K., Chao, Y., Eldering, A., Fovell, R., Hall, A., Li, Q.-B., Liou, K.-N., McWilliams, J., et al. (2011) · doi:10.1007/s10584-011-0312-5 · Cited by 58
“Many regional climate models including the newly developed community model, the Weather Research and Forecast (WRF) community model (Skamarock et al. 2005), use a singlelayer snow model.”
MethodInfluentialZhang, F.-Q., Weng, Y., Kuo, Y., Whitaker, J., & Xie, B.-G. (2010) · doi:10.1175/2010waf2222414.1 · Cited by 58
“…a total of 62 convection-permitting simulations of the Morakot event with the Advanced Research version (ARW) of the next-generation mesoscale Weather Research and Forecast Model (WRF) currently being developed and employed at the National Center for Atmospheric Research (Skamarock et al. 2005).”
MethodAnalyzing the Image Warp Forecast Verification Method on Precipitation Fields from the ICP
Gilleland, E., Lindström, J., & Lindgren, F. (2010) · doi:10.1175/2010waf2222365.1 · Cited by 58
WRF and GISS SCM simulations of convective updraft properties during TWP‐ICE
Wu, J., Genio, A. D., Yao, M., & Wolf, A. (2009) · doi:10.1029/2008jd010851 · Cited by 58
Jourdain, N., Marchesiello, P., Menkes, C., Lefèvre, J., Vincent, E. M., Lengaigne, M., & Chauvin, F. (2011) · doi:10.1175/2010jcli3559.1 · Cited by 58
Kilometer-scale convection-allowing model emulation using generative diffusion modeling
Pathak, J., Cohen, Y., Garg, P., Harrington, P., Brenowitz, N., Durran, D. R., Mardani, M., Vahdat, A., Xu, S., Kashinath, K., et al. (2026) · Science Advances · doi:10.1126/sciadv.adv0423 · Cited by 61
“While not bound by constraints like the Courant-Friedrichs-Lewy (CFL) condition, deterministic ML models will predict the ensemble mean and filter-out any spatial scales not predictable at that lead time producing unrealistically smooth forecasts.”
Air quality co-benefits from climate mitigation for human health in South Korea
Kim, S. E., Xie, Y., Dai, H., Fujimori, S., Hijioka, Y., Honda, Y., Hashizume, M., Masui, T., Hasegawa, T., Xu, X., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.105507 · Cited by 77
Zhu, K.-F., Xue, M., Zhou, B.-W., Zhao, K., Sun, Z.-Q., Fu, P.-L., Zheng, Y., Zhang, X.-L., & Meng, Q.-T. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd027445 · Cited by 57
On the filtering properties of ensemble averaging for storm-scale precipitation forecasts
Surcel, M., Zawadzki, I., & Yau, M. K. (2014) · doi:10.1175/mwr-d-13-00134.1 · Cited by 57
Otkin, J. A. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jd017568 · Cited by 62
Winkler, J. A., Guentchev, G. S., Perdinan, Tan, P., Zhong, S., Liszewska, M., Abraham, Z., Niedźwiedź, T., & Ustrnul, Z. (2011) · Geography Compass · doi:10.1111/j.1749-8198.2011.00425.x · Cited by 56
Uotila, P., Pezza, A., Cassano, J., Keay, K., & Lynch, A. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jd011583 · Cited by 57
“The outermost domain is two-way nested to the second domain, which has 30 (20) km resolution in the Polar MM5 (WRF) versions of AMPS.”
MethodInfluentialVivoni, E., Tai, K., & Gochis, D. (2009) · doi:10.1175/2008jhm1069.1 · Cited by 57
“Although the study is limited to September 2003, the experiments provide insight into the soil moisture effects on rainfall and flood response in a broader NAM region. b. Atmospheric model The atmospheric model used here is the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005).”
MethodDynamics of the Shallow Meridional Circulation around Intertropical Convergence Zones
Nolan, D., Zhang, C.-D., & Chen, S.-H. (2007) · Journal of the Atmospheric Sciences · doi:10.1175/jas3964.1 · Cited by 57
“WRF is a regional, fully compressible model of the atmosphere suitable for simulations on a wide range of horizontal scales and grid resolutions (Michalakes et al. 2001; Skamarock et al. 2005 ).”
BackgroundSalameh, T., Drobinski, P., & Dubos, T. (2010) · doi:10.1002/qj.518 · Cited by 57
“This appropriate solution of basic data assimilation contributes to widely spread the indiscriminate nudging option in many up-todate regional numerical models such as MM5 (Grell et al., 1993), WRF (Skamarock et al., 2005), Méso-NH (Lafore et al., 1998), RAMS (Pielke et al., 1992), and LMDZ (Genthon et al., 2002).”
MethodMauree, D., Coccolo, S., Perera, A. T. D., Nik, V., Scartezzini, J., & Naboni, E. (2018) · Sustainability · doi:10.3390/su10041134 · Cited by 56
“Meteorological models (for example WRF [23], MESO-NH [24]) have been improved to include parameterizations such as BEP-BEM [25–27] or TEB [28] or UCM [29], that would better show the influence of urban areas on meteorological variables.”
Atmospheric inverse modeling with known physical bounds: an example from trace gas emissions
Miller, S. M., Michalak, A. M., & Levi, P. J. (2014) · Geoscientific model development · doi:10.5194/gmd-7-303-2014 · Cited by 59
Analysis of the ability of water resources to reduce the urban heat island in the Tokyo megalopolis.
Nakayama, T., & Hashimoto, S. (2011) · Environmental Pollution · doi:10.1016/j.envpol.2010.11.016 · Cited by 56
“Many researchers have attempted to reproduce the heat island by using some regional weather forecast models (Pielke et al., 1992; Dudhia, 1993; Skamarock et al., 2005).”
Determination of particulate lead using aerosol mass spectrometry: MILAGRO/MCMA-2006 observations
Salcedo, D., Onasch, T. B., Aiken, A. C., Williams, L. R., de Foy, B., Cubison, M. J., Worsnop, D. R., Molina, L. T., & Jimenez, J. L. (2010) · Atmospheric chemistry and physics · doi:10.5194/acp-10-5371-2010 · Cited by 48
“Wind fields for the trajectories were simulated using the Weather Research and Forecast model (WRF; Skamarock et al., 2005) and were evaluated using a combination of statistical metrics, cluster analysis and CFA (deFoy et al.”
Block-structured adaptive meshes and reduced grids for atmospheric general circulation models
Jablonowski, C., Oehmke, R., & Stout, Q. (2009) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2009.0150 · Cited by 56
Pattanaik, D. R., & Ramarao, Y. (2009) · doi:10.1007/s12040-009-0031-8 · Cited by 56
“It is non-local-K scheme with an explicit entrainment layer and parabolic K profile in unstable mixed layer (Skamarock et al 2005).”
de Foy, B., Zavala, M., Bei, N., & Molina, L. (2009) · doi:10.5194/acp-9-4419-2009 · Cited by 56
Lin, Y.-L., & Colle, B. (2009) · doi:10.1175/2008mwr2653.1 · Cited by 56
Ocean‐Wave‐Atmosphere Interaction Processes in a Fully Coupled Modeling System
Wu, L.-C., Breivik, Ø., & Rutgersson, A. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001761 · Cited by 55
“WRF is a three-dimensional nonhydrostatic atmospheric model (Skamarock et al., 2005).”
BackgroundCOSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees
Mussetti, G., Brunner, D., Henne, S., Allegrini, J., Krayenhoff, E. S., Schubert, S., Feigenwinter, C., Vogt, R., Wicki, A., & Carmeliet, J. (2019) · Geoscientific Model Development · doi:10.5194/gmd-2019-220 · Cited by 55
“In the meantime, the Weather Research and Forecasting model (WRF; Skamarock et al., 2005) has replaced MM5 and, to the authors’ best knowledge, DA-SM2-U was not ported to WRF. Lee and Park (2008) developed an urban canopy model with an explicit representation of street trees named Vegetated Urban…”
MethodSeamless management of ensemble climate prediction experiments on HPC platforms
Manubens-Gil, D., Vegas-Regidor, J., Prodhomme, C., Mula-Valls, O., & Doblas-Reyes, F. (2016) · International Symposium on High Performance Computing Systems and Applications · doi:10.1109/hpcsim.2016.7568429 · Cited by 55
“More specific tools for WRF in grid environments have been shown to be useful in [2].”
BackgroundModelling the dispersion of particle numbers in five European cities
Kukkonen, J., Karl, M., Keuken, M., van der Gon, H. D., Denby, B., Singh, V., Douros, J., Manders, A., Samaras, Z., Moussiopoulos, N., et al. (2015) · Geoscientific model development · doi:10.5194/gmd-9-451-2016 · Cited by 55
“The application of the methodology was based on meteorological fields predicted by the WRF meteorological model (version 3.2.1, Skamarock et al., 2005), which was applied for 2008 with a horizontal grid resolution of 50 km and a temporal resolution or 3 h.”
MethodInfluentialA long-term perspective of wind power output variability
Kirchner-Bossi, N., García‐Herrera, R., Prieto, L., & Trigo, R. M. (2014) · International Journal of Climatology · doi:10.1002/joc.4161 · Cited by 55
“The latter include meteorological reanalysis projects (Kalnay et al., 1996; Compo et al., 2011) and circulation models at global (GCMs) and regional (RCMs) scales (e.g. Skamarock et al., 2005).”
Background
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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