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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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Deb, S., Srivastava, T. P., & Kishtawal, C. (2008) · doi:10.1007/s12040-008-0055-5 · Cited by 37
“The WRF model and experimental design The mesoscale model used in this study is the Weather Research and Forecasting (WRF-ARW version) Model version 2.0.1 developed primarily at National Center for Atmospheric Research (NCAR) with collaboration of different agencies (Skamarock et al 2005).”
MethodInfluentialPBL State Estimation with Surface Observations, a Column Model, and an Ensemble Filter
Hacker, J., & Rostkier-Edelstein, D. (2007) · doi:10.1175/mwr3443.1 · Cited by 37
Bukovsky, M., Carrillo, C., Gochis, D., Hammerling, D., McCrary, R., & Mearns, L. (2015) · doi:10.1175/jcli-d-14-00695.1 · Cited by 37
“2007) WRFG Weather Research and Forecasting Model (Skamarock et al. 2005), Pacific Northwest National Laboratory (PNNL) version”
MethodOn the wind power potential in the northwest of the Yucatan Peninsula in Mexico
Figueroa-Espinoza, B., Salles, P., & Zavala-Hidalgo, J. (2014) · Atmósfera · doi:10.1016/s0187-6236(14)71102-6 · Cited by 37
“…mesoscale numerical weather prediction model that comprises several solvers and applications, based on a numerical Eulerian solver for the fully compressible non-hydrostatic equations, cast in flux-conservative form, using a mass (hydrostatic pressure) vertical coordinate (Skamarock et al., 2005).”
MethodA stochastic optimization model for staged hospital evacuation during hurricanes
Rambha, T., Nozick, L., Davidson, R., Yi, W., & Yang, K. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2021.102321 · Cited by 36
Kilometer-scale modeling projects a tripling of Alaskan convective storms in future climate
Poujol, B., Prein, A. F., & Newman, A. J. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05466-1 · Cited by 54
Chen, Q.-S., Hu, H.-B., Ren, X.-J., & Yang, X.-Q. (2019) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2018jd029589 · Cited by 36
“The WRF model is a compressible, nonhydrostatic, mesoscale model and is known as one of the most advanced mesoscale and regional meteorological models (Skamarock et al., 2005).”
MethodCamargo, L. R., Gruber, K., & Nitsch, F. (2019) · Renewable Energy · doi:10.1016/j.renene.2018.09.015 · Cited by 36
Multi-RCM near-term projections of summer climate extremes over East Asia
Park, C., & Min, S.-K. (2018) · Climate Dynamics · doi:10.1007/s00382-018-4425-7 · Cited by 36
Thomas, L., Malap, N., Grabowski, W., Dani, K., & Prabha, T. (2018) · Atmospheric Chemistry and Physics · doi:10.5194/acp-18-7473-2018 · Cited by 36
“The model used for the two case simulations is the NCAR Weather Research and Forecasting (WRF) model (Skamarock et al., 2005), run in the large eddy simulation (LES) mode.”
MethodAbdulah, S., Ltaief, H., Sun, Y., Genton, M., & Keyes, D. (2018) · IEEE International Conference on Cluster Computing · doi:10.1109/cluster.2018.00089 · Cited by 36
“The advanced research core of WRF (WRF-ARW) is used in this study to generate a regional climate dataset over the Arabian Peninsula [40] in the Middle-East.”
MethodKlein, P., Hu, X.-M., Shapiro, A., & Xue, M. (2016) · Boundary-layer Meteorology · doi:10.1007/s10546-015-0097-6 · Cited by 36
“1 (Skamarock et al. 2008) were conducted for two contrasting episodes: strong LLJs during July 7–9, and weak LLJs during July 17–19.”
BackgroundMethodInfluentialProjected changes in Malawi’s growing season
Vizy, E., Cook, K., Chimphamba, J., & McCusker, B. (2015) · Climate Dynamics · doi:10.1007/s00382-014-2424-x · Cited by 36
Herron-Thorpe, F., Mount, G., Emmons, L., Lamb, B., Jaffe, D., Wigder, N., Chung, S., Zhang, R., Woelfle, M., & Vaughan, J. (2014) · doi:10.5194/acp-14-12533-2014 · Cited by 36
“gov/) reported that over 800 000 acres burned in Nevada during July 2007. By 31 August the Great Basin and Northern Rockies had wildfires that burned over 4 million acres, nearly twice the typical year-to-date area burned, with eight large fires or complexes having burned more than 100 000 acres 15 each. The summer of…”
Wave Climate Hindcasts for the Bohai Sea, Yellow Sea, and East China Sea
Liang, B., Liu, X., Li, H.-J., Wu, Y.-J., & Lee, D.-Y. (2014) · doi:10.2112/jcoastres-d-14-00017.1 · Cited by 36
“The wind parameters used to simulate the waves are obtained from the Weather Research and Forecasting Model.”
MethodGrasso, L. D., Lindsey, D., Lim, K., Clark, A., Bikos, D., & Dembek, S. (2014) · doi:10.1175/mwr-d-14-00005.1 · Cited by 36
“Otkin et al. (2009) conducted a Weather Research and Forecasting (WRF; Skamarock et al. 2005) simulation that covered the full disk scene of the Spinning Enhanced Visible and Infrared Imager (SEVIRI).”
MethodRAMP FORECASTING PERFORMANCE FROM IMPROVED SHORT-TERM WIND POWER FORECASTING
Zhang, J., Florita, A., Hodge, B., & Freedman, J. (2014) · Design Automation Conference · doi:10.1115/detc2014-34775 · Cited by 36
“term horizons more than one hour (daily or hourly forecasts), the impact of atmospheric dynamics becomes more important and NWP models—such as the Advanced Regional Prediction System (ARPS) [6, 7], the Weather Research & Forecasting Model (WRF) [8], and Global Forecast System (GFS) [9]— become more suitable.”
BackgroundZhang, M., Zupanski, M., Kim, M.-J., & Knaff, J. (2013) · doi:10.1175/mwr-d-12-00340.1 · Cited by 36
“Through the Advanced Research core of the Weather Research and Forecasting Model (ARW- WRF; Skamarock et al. 2005) with its three-dimensional variational data assimilation system (3DVAR; Barker et al. 2004), Xiao et al. (2009) and Pu et al. (2009) successfully assimilated airborne Doppler radar (ADR) data into the TC…”
MethodKunii, M., Miyoshi, T., & Kalnay, E. (2012) · doi:10.1175/mwr-d-11-00205.1 · Cited by 36
“…(2008), the ensemble-based method for estimating the impact of observations is implemented with the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005) and the local ensemble transform Kalman filter (LETKF; Ott et al. 2004; Hunt et al. 2007) and is tested with real observations…”
MethodReduction of systematic biases in regional climate downscaling through ensemble forcing
Yang, H.-W., & Wang, B. (2012) · Climate Dynamics · doi:10.1007/s00382-011-1006-4 · Cited by 36
“The WRF model (Skamarock et al. 2005), a primitive equation model using sigma coordinates, is used in this study.”
MethodYu, S.-C., Mathur, R., Pleim, J., Pouliot, G., Wong, D., Eder, B., Schere, K., Gilliam, R., & Rao, S. (2011) · doi:10.5194/acp-12-4091-2012 · Cited by 36
“The WRF model is a state-of-science mesoscale model framework with two available dynamic cores: the Non-hydrostatic Mesoscale Model (NMM) developed by NCEP (Janjic, 2003) and the Advanced Research WRF (ARW) developed by NCAR (Skamarock et al., 2005).”
MethodInfluentialRakesh, V., & Goswami, P. (2011) · doi:10.1029/2011jd015751 · Cited by 36
Hydrometeorological Short-Range Ensemble Forecasts in Complex Terrain. Part II: Economic Evaluation
McCollor, D., & Stull, R. B. (2008) · Weather and Forecasting · doi:10.1175/2007waf2007064.1 · Cited by 32
“…on the west coast of North America where the upwind Pacific data void introduces greater uncertainty (Hacker et al. 2003; McMurdie and Mass 2004; Spagnol et al. 2004) into the initial conditions of numerical weather forecasts than for regions in the center and on the eastern side of the…”
BackgroundEnvironmental stability control of the intensity of squall lines under low‐level shear conditions
Takemi, T. (2007) · doi:10.1029/2007jd008793 · Cited by 36
Duan, K., Sun, G., Zhang, Y., Yahya, K., Wang, K., Madden, J. M., Caldwell, P., Cohen, E., & McNulty, S. (2016) · Climatic Change · doi:10.1007/s10584-016-1850-7 · Cited by 36
“Although a chemistry module has been incorporated into the standard versions of CESM released by NCAR, it simulates highly simplified gas-phase chemistry and aerosol processes.”
MethodInfluentialUsing sensor web protocols for environmental data acquisition and management
Conover, H., Berthiau, G., Botts, M., Goodman, H., Li, X., Lu, Y., Maskey, M., Regner, K., & Zavodsky, B. (2010) · Ecological Informatics · doi:10.1016/j.ecoinf.2009.08.009 · Cited by 36
Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing
Xue, M., & Droegemeier, K. (2007) · doi:10.1201/9781584889106-16 · Cited by 36
“The same is true for the WRF model except that it uses a mass-based vertical coordinate [23] that is close to the hydrostatic pressure-based sigmacoordinate used in large-scale NWP models.”
Yang, C., Liu, J., & Xu, S. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001938 · Cited by 59
“The atmospheric model component in the COAWST modeling system is the Advanced Research Weather Research and Forecasting model (ARW, Skamarock et al., 2005).”
MethodSingh, K. S., Mandal, M., & Bhaskaran, P. (2019) · Meteorology and atmospheric physics (Print) · doi:10.1007/s00703-017-0552-7 · Cited by 35
“A more detailed description of the model physics, dynamics, and equations was presented in Skamarock et al. (2005).”
BackgroundThe Portuguese man-of-war: Gone with the wind
Ferrer, L., & Pastor, A. (2017) · doi:10.1016/j.rsma.2017.05.004 · Cited by 35
Wu, Y.-K., Su, P.-E., & Hong, J.-S. (2016) · IEEE transactions on industry applications · doi:10.1109/tia.2016.2524439 · Cited by 35
Shi, R., Guo, X.-Y., Wang, D.-X., Zeng, L., & Chen, J. (2015) · doi:10.1016/j.dsr2.2013.12.018 · Cited by 35
“The Weather Research and Forecasting (WRF) model with the Advanced Research WRF (ARW) dynamic solver (Skamarock et al., 2005) is used to confirm the response of sea surface winds to mesoscale SST perturbations over the NSCS coastal fronts.”
MethodPhysical Mechanisms of Tropopause Polar Vortex Intensity Change
Cavallo, S. M., & Hakim, G. (2013) · doi:10.1175/jas-d-13-088.1 · Cited by 35
Panda, J., & Sharan, M. (2012) · doi:10.1016/j.atmosres.2012.04.001 · Cited by 35
Simulations of Subtropical Cyclones in a Baroclinic Channel Model
Davis, C. (2010) · Journal of the Atmospheric Sciences · doi:10.1175/2010jas3411.1 · Cited by 35
“The ARW is a nonhydrostatic, primitive equation model described in Skamarock et al. (2005).”
MethodZeitlin, V. (2008) · doi:10.1175/2008jas2481.1 · Cited by 35
“To be close to the previously described two-layer case, the WRF runs were done periodically in the x-direction channel on the f plane with the flat bottom without a boundary layer.”
MethodIdentification of the sources of inertia-gravity waves in the Andes Cordillera region
Spiga, A., Téitelbaum, H., & Zeitlin, V. (2008) · doi:10.5194/angeo-26-2551-2008 · Cited by 35
“2.5 Mesoscale numerical simulations Three-dimensional mesoscale simulations using the Weather Research Forecast model (WRF, Skamarock et al., 2005, website: www.mmm.ucar.edu/wrf/users) can be performed firstly to access the scales in the analysis not reached by the ECMWF, and secondly to check…”
MethodInfluentialWater resource quality monitoring using heterogeneous data and high-performance computations
Kravchenko, A., Kussul, N., Lupian, E., Savorsky, V. P., Hluchý, L., & Shelestov, A. (2008) · doi:10.1007/s10559-008-9032-x · Cited by 35
“Among regional weather prediction models, we should mention models with open MM5 codes (http://www.mmm.ucar.edu/mm5/) and WRF (http://www.wrf-model.org/index.php and http://www.mmm. ucar.edu/wrf/users/) [ 9 ].”
MethodThree-Dimensional Characteristics of Stratospheric Mountain Waves during T-REX
Doyle, J., Jiang, Q., Smith, R. B., & Grubišić, V. (2007) · doi:10.1175/2010mwr3466.1 · Cited by 35
“The timing of the G-V missions was based on mountain wave activity forecasts from several numerical models including the 2-km-resolution COAMPS (Hodur 1997) and the 4-km resolution Weather Research and Forecasting (WRF) model (Skamarock et al. 2005).”
MethodImproved Vertical Covariance Estimates for Ensemble-Filter Assimilation of Near-Surface Observations
Hacker, J., Anderson, J. L., & Pagowski, M. (2007) · doi:10.1175/mwr3333.1 · Cited by 35
“Our model can be thought of as a simpler cousin to the Weather Research and Forecast (WRF) mesoscale model (Skamarock et al. 2005).”
MethodChen, X., Kang, S., & Yang, J. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.113127 · Cited by 37
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing
Sensi, D. D., Girolamo, S. D., & Hoefler, T. (2019) · International Conference for High Performance Computing, Networking, Storage and Analysis · doi:10.1145/3295500.3356196 · Cited by 34
Changes in intense rainfall events and dry periods across Africa in the twenty-first century
Han, F., Cook, K., & Vizy, E. (2019) · Climate Dynamics · doi:10.1007/s00382-019-04653-z · Cited by 34
Multi-scale modeling of the urban meteorology: Integration of a new canopy model in the WRF model
Mauree, D., Blond, N., & Clappier, A. (2018) · Urban Climate · doi:10.1016/j.uclim.2018.08.002 · Cited by 34
Bieser, J., Slemr, F., Ambrose, J., Brenninkmeijer, C., Brooks, S., Dastoor, A., DeSimone, F., Ebinghaus, R., Gencarelli, C., Geyer, B., et al. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-6925-2017 · Cited by 34
“The atmospheric transport of the tracers is driven by meteorological fields generated with the Weather Research and Forecast modeling system (WRF 3.7.2) (Skamarock et al., 2007), which is fed by operational analysis Atmos.”
BackgroundMethodInfluentialVillegas, J., Dominguez, F., Barron-Gafford, G., Adams, H., Guardiola-Claramonte, M., Sommer, E. D., Selvey, A. W., Espeleta, J. F., Zou, C. B., Breshears, D., et al. (2015) · doi:10.1111/geb.12349 · Cited by 34
“To assess the potential ecohydrological consequences of our experimental results at larger spatial scales, we incorporated our experimentally derived relationships between woody cover and ET partitioning into the Noah Land Surface Model (Chen & Dudhia, 2001; Niu et al., 2011) coupled to the Weather Research and Foreca…”
BackgroundMethodA time-parallel approach to strong-constraint four-dimensional variational data assimilation
Rao, V., & Sandu, A. (2015) · Journal of Computational Physics · doi:10.1016/j.jcp.2016.02.040 · Cited by 34
“, data assimilation with the weather research and forecast model [28].”
Al-Shrafany, D., Rico-Ramírez, M., Han, D.-W., & Bray, M. (2014) · doi:10.1002/met.1357 · Cited by 34
“Although mesoscale model users are being encouraged to move on to the next generation mesoscale model, the Weather Research and Forecasting system (WRF) (Skamarock et al., 2005), the MM5 system is still a popular choice due in part to its performance, availability and stability (see for instance Liguori et al., 2009,…”
BackgroundInfluentialMateus, P., Nico, G., & Catalao, J. P. S. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2318993 · Cited by 34
“In particular, the Weather Research and Forecast (WRF) model is used to estimate the 3-D fields of the main atmospheric physical parameters (potential, temperature, and total pressure) with a ∼1-km spatial resolution and a variable vertical resolution from the Earth surface up to an altitude corresponding to 10 hPa [9…”
MethodA numerical study of a persistent cold air pool episode in the Salt Lake Valley, Utah
Lu, W., & Zhong, S. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd020410 · Cited by 34
“In the current study, theWeather Research and ForecastingModel (WRF) [Skamarock et al., 2005] is used to simulate one of the persistent CAP episodes observed during PCAPS.”
MethodSnowbands over the English Channel and Irish Sea during cold‐air outbreaks
Norris, J., Vaughan, G., & Schultz, D. (2013) · doi:10.1002/qj.2079 · Cited by 34
“Figure constructed from images provided by the NOAA/ESRL Physical Sciences Division, Boulder, Colorado, from their web site at http://www.esrl.noaa.gov/psd/data/composites/nssl/day. the Advanced Research WRF (ARW) dynamical core (Skamarock et al., 2005).”
MethodRatnam, J., Behera, S., Ratna, S., Rautenbach, C. J. D. W., Lennard, C., Luo, J.-J., Masumoto, Y., Takahashi, K., & Yamagata, T. (2013) · doi:10.1175/jcli-d-12-00645.1 · Cited by 34
“For example, Ratnam et al. (2012) have demonstrated that by coupling a simple mixed layer ocean model to the Advanced Research Weather Research and Forecasting (WRF)model (ARW; Skamarock et al. 2005) improved austral summer precipitation could be obtained over southern Africa.”
BackgroundMethodInfluentialInfluence of Rain-Rate Initialization, Cloud Microphysics, and Cloud Torques on Hurricane Intensity
Pattnaik, S., Inglish, C., & Krishnamurti, T. N. (2011) · doi:10.1175/2010mwr3382.1 · Cited by 34
“The ARW-WRF dynamic solver version 2.1.1 model (Skamarock et al. 2005) is used for this study.”
MethodInfluentialInclusion of Surface Topography into the Vector Vorticity Equation Model (VVM)
Wu, C.-M., & Arakawa, A. (2011) · doi:10.1029/2011ms000061 · Cited by 34
“Examples are the Weather Research and Forecasting (WRF) model (Skamarock et al. 2005), the Advanced Regional Prediction System (ARPS) model (Xue et al. 2000) and the Regional Atmospheric Modeling System (RAMS) model (Pielke et al. 1992).”
MethodKim, S., & Chun, H. (2010) · doi:10.1175/2010jas3374.1 · Cited by 34
Rakesh, V., Singh, R., & Joshi, P. (2009) · Meteorology and Atmospheric Physics · doi:10.1007/s00703-009-0038-3 · Cited by 34
“The present study used the PSU-NCAR MM5 (Dudhia 1993) and the maturing weather research and forecasting (WRF; Skamarock et al. 2005 ) model to investigate the potential impact of NASA quick scatterometer (QSCAT) surface winds, spectral sensor microwave imager (SSM/I) wind and total precipitable water (TPW) on short-ra…”
MethodInfluentialAn Evaluation of a Diagnostic Wind Model (CALMET)
Wang, W., Shaw, W., Seiple, T., Rishel, J., & Xie, Y.-L. (2008) · doi:10.1175/2007jamc1602.1 · Cited by 34
“It has been shown in earlier studies to be able to reasonably reproduce real wind fields under complex conditions (e.g., Grell et al. 1994; Stauffer and Seaman 1994; Seaman et al. 1995; Shafran et al. 2000; Deng et al. 2004).”
BackgroundSelf-citationA multiple scale modeling system for coastal hurricane wind damage mitigation
Zhu, P. (2008) · doi:10.1007/s11069-008-9240-8 · Cited by 34
Impact of extensive irrigation on the formation of cumulus clouds
Kawase, H., Takao, Y., Hara, M., Kimura, F., Sato, T., & Ohsawa, S. (2008) · doi:10.1029/2007gl032435 · Cited by 34
“[8] Numerical experiments were conducted using a nonhydrostatic numerical model, Advanced Research Weather Research and Forecasting (WRF) modeling system Version 2.2 [ Skamarock et al., 2005 ].”
MethodInfluentialFinite-Volume Methods in Meteorology
Machenhauer, B., Kaas, E., & Lauritzen, P. (2009) · doi:10.1016/s1570-8659(08)00201-9 · Cited by 34
“WILLIAMSON et al. [1992] suggested that the cosine bell is transported along the equator and across the poles with a slight offset to avoid any symmetry.”
BackgroundCasciaro, G., Cavaiola, M., & Mazzino, A. (2022) · Atmospheric Environment · doi:10.1016/j.atmosenv.2022.119259 · Cited by 33
Downscaling Climate Information
Mearns, L., Bukovsky, M., Pryor, S., & Magaña, V. (2021) · Lectures in Climate Change · doi:10.1007/978-3-319-65058-6_8 · Cited by 33
Cuesta, J., Costantino, L., Beekmann, M., Siour, G., Menut, L., Bessagnet, B., Landi, T., Dufour, G., & Eremenko, M. (2021) · Atmospheric Chemistry and Physics · doi:10.5194/acp-2021-785 · Cited by 33
“1 (Skamarock et al., 2007) forced by NCEP/GFS global fields (Kalnay et al.”
Roy, B. L., Lemonsu, A., & Schoetter, R. (2021) · Climate Dynamics · doi:10.1007/s00382-020-05600-z · Cited by 42
Reappraising the appropriate calculation of a common meteorological quantity: Potential Temperature
Baumgartner, M., Weigel, R., Harvey, A., Plöger, F., Achatz, U., & Spichtinger, P. (2020) · Atmospheric Chemistry and Physics · doi:10.5194/acp-2020-361 · Cited by 33
Improving US extreme precipitation simulation: sensitivity to physics parameterizations
Sun, C., & Liang, X. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05267-6 · Cited by 42
Hansen, C., Shiva, J. S., McDonald, S., & Nabors, A. (2019) · JAWRA Journal of the American Water Resources Association · doi:10.1111/1752-1688.12784 · Cited by 33
“…model, developed by the U.S. National Center for Atmospheric Research and other National Science Foundation and university collaborator has been widely used for regional atmospheric research (Skamarock et al. 2005; Kioutsioukis et al. 2016; Kerandi et al. 2018; Lin et al. 2018; Zhou et al. 2018).”
MethodZhang, Y.-L., Zhu, B., Gao, J.-H., Kang, H.-Q., Yang, P., Wang, L.-L., & Zhang, J.-K. (2017) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2016.10.0442 · Cited by 33
Cornejo-Bueno, L., Cuadra, L., Jiménez-Fernández, S., Acevedo-Rodríguez, J., Prieto, L., & Salcedo-Sanz, S. (2017) · doi:10.3390/en10111784 · Cited by 33
“…ones, so it is straightforward to tackle the WPRE prediction by using alternative models, such as the well-known Weather Research and Forecasting (WRF) meso-scale model [91], to predict future values of the predictive variables and, then, the corresponding WPRE prediction for a given wind farm.”
MethodA modeling study of convection initiation prior to the merger of a sea-breeze front and a gust front
Abulikemu, A., Xu, X., Wang, Y., Ding, J., Zhang, S.-S., & Shen, W. (2016) · doi:10.1016/j.atmosres.2016.07.003 · Cited by 33
Probabilistic fire spread forecast as a management tool in an operational setting
Pinto, R. M. S., Benali, A., Sá, A. C. L., Fernandes, P. M., Soares, P. M. M., Cardoso, R. M., Trigo, R. M., & Pereira, J. M. C. (2016) · SpringerPlus · doi:10.1186/s40064-016-2842-9 · Cited by 38
First field-based atmospheric observation of the reduction of reactive mercury driven by sunlight
de Foy, B., Tong, Y.-D., Yin, X.-F., Zhang, W., Kang, S.-C., Zhang, Q.-G., Zhang, G.-S., Wang, X.-J., & Schauer, J. (2016) · doi:10.1016/j.atmosenv.2016.03.028 · Cited by 33
Observation and modeling of black soil wind-blown erosion from cropland in Northeastern China
Zhang, X.-L., Zhou, Q., Chen, W.-W., Wang, Y., & Tong, D. (2015) · doi:10.1016/j.aeolia.2015.07.009 · Cited by 33
Robles-Morúa, A., Che, D., Mayer, A., & Vivoni, E. (2015) · doi:10.1080/02626667.2013.878462 · Cited by 33
“Nevertheless, the approach taken here allows for a more realistic use of climate change projections in water resources management, since the dynamical downscaling offers improvements in the representation of orographic precipitation, as shown by Wi et al. (2012) for the winter season.”
BackgroundJiang, X.-M., Yuan, H.-L., Xue, M., Chen, X., & Tan, X. (2014) · Journal of Meteorological Research · doi:10.1007/s13351-014-3139-y · Cited by 33
“0 is a 3-h update and cycling data assimilation and forecast system based on the WRF (Weather Research and Forecasting) model and WRFDA (WRF Data Assimilation) system (Skamarock et al., 2005).”
MethodBormann, N., Hernandez-Carrascal, A., Borde, R., Lutz, H., Otkin, J., & Wanzong, S. (2014) · doi:10.1175/jamc-d-12-0336.1 · Cited by 33
“Part I 2 Model data, simulated images and AMV derivation This study uses a simulation performed with the Weather Research and Forecasting (WRF) regional model (Skamarock et al., 2005), and covers the 24-hour study period starting on 16 August 2006 at 00 UTC.”
MethodWong, W., Lau, C., & Chan, P. (2013) · doi:10.1155/2013/532475 · Cited by 33
Raju, P., Potty, J., & Mohanty, U. C. (2012) · Natural Hazards · doi:10.1007/s11069-011-9918-1 · Cited by 33
“The WRF model is a non-hydrostatic mesoscale model designed for the simulation and prediction of fine-scale atmospheric phenomena, emphasizing horizontal grid lengths of a few kilometers or less (Michalakes et al. 2005; Skamarock et al. 2005).”
MethodYu, S.-C., Mathur, R., Pleim, J., Pouliot, G., Wong, D., Eder, B., Schere, K., Gilliam, R., & Rao, S. (2012) · doi:10.5094/apr.2012.015 · Cited by 33
“By examining the uncertainty associated with photochemical modeling using the Variable-Grid Urban Airshed Model (UAM-V) with two different prognostic meteorological models (e.g., the Regional Atmospheric Modeling System (RAMS) and FifthGeneration NCAR / Penn State Mesoscale Model (MM5)), Biswas and Rao (2001) found th…”
MethodExtreme Rainfall Mechanisms Exhibited by Typhoon Morakot (2009)
Huang, C.-Y., Wong, C., & Yeh, T.-C. (2011) · doi:10.3319/tao.2011.07.01.01(tm · Cited by 33
A Robust Dual-Frequency Radar Profiling Algorithm
Grecu, M., Tian, L., Olson, W., & Tanelli, S. (2011) · doi:10.1175/2011jamc2655.1 · Cited by 33
Quantile-copula density forecast for wind power uncertainty modeling
Bessa, R., Mendes, J., Miranda, V., Botterud, A., Wang, J.-H., & Zhou, Z. (2011) · 2011 IEEE Trondheim PowerTech · doi:10.1109/ptc.2011.6019180 · Cited by 33
“Midwest. The NWP data was generated with the Weather Research and Forecasting (WRF) model [ 18 ] by Argonne National Laboratory and consists of several weather variables (e.g.”
MethodLi, J., Li, J., Otkin, J., Schmit, T., & Liu, C.-Y. (2011) · doi:10.1175/2010jamc2441.1 · Cited by 33
Grotjahn, R. (2011) · doi:10.1007/s00382-011-0999-z · Cited by 33
“The pilot scheme’s average RMSD of 1.4‐1.9 K seems comparable, if not better than, the mean error by the US Weather Research and Forecasting (WRF) model ( Skamarock et al. 2005 ) in forecasting high temperatures for the CV. In early testing of model output statistics for the contiguous states, WRF had a mean absolute…”
InfluentialMoisture recycling and the maximum of precipitation in spring in the Iberian Peninsula
Rios-Entenza, A., & Míguez-Macho, G. (2010) · Climate Dynamics · doi:10.1007/s00382-013-1971-x · Cited by 33
“…i ¼ r r DPh i ð3:26Þ and DPamp ¼ 1 r r DPh i ð3:27Þ 3.5 Model configuration and set up of the simulations We carry out simulations for eleven months of May (from May 2000 to May 2010) with the WRF (Weather Research and Forecasting, Skamarock et al., 2005) ARW model, version 3.0.1.1.”
MethodInfluentialPadmanabhan, S., Reising, S., Vivekanandan, J., & Iturbide-Sanchez, F. (2009) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2009.2031107 · Cited by 33
“The spatial scales of water vapor variability in the troposphere were calculated using outputs of a fine-resolution Weather Research and Forecasting (WRF) model with a 500-m resolution [36].”
MethodTakao, Y., Kimura, F., Kawase, H., & Nozawa, T. (2012) · doi:10.2151/sola.2012-033 · Cited by 33
Wapler, K., Lane, T., May, P., Jakob, C., Manton, M., & Siems, S. (2010) · doi:10.1175/2009mwr2993.1 · Cited by 33
Chae, J., & Sherwood, S. (2010) · Journal of the Atmospheric Sciences · doi:10.1175/2009jas3099.1 · Cited by 33
“Skamarock et al. (2005) have described the model in detail.”
Russell, J., Aiyyer, A., & White, J. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001706 · Cited by 32
“We perform simulations using the Weather Research and Forecasting model (WRF-ARW version 3.9.1.1; Skamarock et al., 2005).”
MethodInfluentialGuo, Z., Fang, J., Sun, X.-G., Tang, J., Yang, Y., & Tang, J.-P. (2019) · Climate Dynamics · doi:10.1007/s00382-019-05061-z · Cited by 32
Evidence of daily hydrological loading in GPS time series over Europe
Springer, A., Karegar, M. A., Kusche, J., Keune, J., Kurtz, W., & Kollet, S. (2019) · Journal of Geodesy · doi:10.1007/s00190-019-01295-1 · Cited by 32
Gavidia-Calderón, M., Vara-Vela, A., Crespo, N., & Andrade, M. (2018) · Atmospheric Environment · doi:10.1016/j.atmosenv.2018.09.026 · Cited by 32
The Influence of Real‐World Wind Turbine Deployments on Local to Mesoscale Climate
Pryor, S., Barthelmie, R., & Shepherd, T. (2018) · Journal of Geophysical Research - Atmospheres · doi:10.1029/2017jd028114 · Cited by 32
“The simulations analyzed herein were conducted using the WRF model (v 3.8.1; Powers et al., 2017; Skamarock et al., 2005) and employ the Fitch parameterization to describe the action of WT (Fitch, 2015; Fitch et al., 2012, 2013).”
MethodInfluentialOh, S.-G., Suh, M., Lee, Y.-S., Ahn, J.-B., Cha, D., Lee, D.-K., Hong, S.-Y., Min, S.-K., Park, S., & Kang, H.-S. (2016) · Asia-Pacific Journal of Atmospheric Sciences · doi:10.1007/s13143-016-0018-8 · Cited by 32
“4, Skamarock et al., 2005), the Regional Climate Model version 4.0 (RegCM4, Giorgi et al., 2012), the Global/Regional Integrated Model system (GRIMs, Hong et al., 2013), the Hadley Centre Global Environment Model version 3 regional atmospheric version (HadGEM3-RA, Hewitt et al., 2010).”
BackgroundInfluentialChan, P., & Hon, K.-K. (2016) · doi:10.1155/2016/1454513 · Cited by 32
“In particular, an aviation model (AVM), based on Weather Forecast and Research (WRF) model [6], has been running for the airport area with a spatial resolution down to 200m.”
MethodChoi, I.-J., Jin, E., Han, J.-Y., Kim, S., & Kwon, Y.-O. (2015) · doi:10.1002/2015jd023810 · Cited by 32
Cai, H.-Q., & Dumais, R. (2015) · doi:10.1175/waf-d-15-0008.1 · Cited by 32
“They found that the WRF Model (http://wrf-model.org) was good at reproducing storm characteristics except for small storms in which some model bias was noted.”
MethodInfluentialOne-Way Coupling of the WRF–QUIC Urban Dispersion Modeling System
Kochanski, A., Pardyjak, E., Stoll, R., Gowardhan, A., Brown, M. J. I., & Steenburgh, W. J. (2015) · doi:10.1175/jamc-d-15-0020.1 · Cited by 32
“Here, the authors investigate the performance of the building-resolving Quick Urban Industrial Complex (QUIC) Dispersion Modeling System driven with mean wind profiles from the mesoscale Weather Research and Forecasting (WRF) Model.”
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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