A time-split nonhydrostatic atmospheric model for weather research and forecasting applications

By William C. Skamarock, Joseph B. Klemp. Journal of Computational Physics, 2008

2,134 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ad3b78cd2d2b993ae04d0589b2157b993d5174e6

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Citations in the corpus

Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities (2011, neutral): “As pointed out by Skamarock and Klemp (2008) and others, there are some issues to derive an appropriate PBL scheme for grid sizes between 100 m and 5 km.”
Quantitative attribution of climate effects on Hurricane Harvey’s extreme rainfall in Texas (2018, methodology): “Simulations using the Advanced Research Weather Research and Forecasting (WRF-ARW) model (Skamarock and Klemp 2008) version 3.8 were performed for the heavy precipitation period over southeast Texas from 0000 UTC 26 August to 0000 UTC 30 August 2017.”
Changes in Spatiotemporal Precipitation Patterns in Changing Climate Conditions (2016, methodology): “Model bias in rainstorm characteristics, while a cause for concern, does not necessarily invalidate the utility of the present–future model comparison.”
Overview of the Meso-NH model version 5.4 and its applications (2018, methodology): “Cloud optical properties (optical depth, single scattering albedo and asymmetry parameter) are then computed as a function of the particle effective radius following the parameterizations of Fouquart (1988) or Slingo (1989) for one-moment schemes, and Savijärvi et al.”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part III: Introduction of Multiple Free Categories (2016, methodology): “Three simulations were run using WRF v3.”
An Upper Gravity-Wave Absorbing Layer for NWP Applications (2008, methodology): “For this purpose, we simulate an idealized two-dimensional squall line using the WRF–ARW, version 2.2 (Skamarock et al. 2005; Klemp et al. 2007; Skamarock and Klemp 2007).”
Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model (2010, methodology): “The STILT model, based on the HYSPLIT model developed at NOAA’s Air Resources Laboratory (Draxler and Hess 1997, 1998), is described in Lin et al. (2003), while the WRF model is described in Skamarock and Klemp (2008) and extensively documented in Skamarock et al. (2005).”
The AROME-France Convective-Scale Operational Model (2011, methodology): “1998), the Weather Research and Forecasting model (WRF; Janjic 2003; Skamarock and Klemp 2008), or the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5; Grell et al.”
Evaluation of the convection‐resolving climate modeling approach on continental scales (2017, background): “At this resolution the lower horizontal size limit of convective cells is still set by the effective resolution [Skamarock and Klemp, 2008], and condensation processes exhibit a high sensitivity to the grid spacing [Bryan and Morrison, 2012].”
A new model to simulate the Martian mesoscale and microscale atmospheric circulation: Validation and first results (2009, methodology): “Finally, the built-in ARW-WRF vertical interpolation onto the final mesoscale terrain-following levels can be performed, as the problem of extrapolation is solved by the use of the intermediate pressure levels p 0 .”
Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE (2012, background): “Today, many meteorological services use HR-NWP models for operational forecasts (Skamarock and Klemp 2008; Saito et al. 2006; Staniforth and Wood 2008; Baldauf et al. 2011; Seity et al. 2011).”
The pros and cons of diffusion, filters and fixers in Atmospheric General Circulation Models (2011, background): “WRF is a nonhydrostatic, deep-atmosphere, finite-difference model on a staggered C-grid with a split-explicit temporal discretization (Skamarock and Klemp 2008; Skamarock et al 2008).”