Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom

By H. Lean, Peter A. Clark, M. Dixon, N. Roberts, A. C. Fitch, Richard G. Forbes, Carol Halliwell. 2008

420 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/59572d69b8955dc01bd3ee60c4eebe3f7fd6d09b

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Citations in the corpus

A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “…spacings less than 4 km has led to considerable improvements of quantitative precipitation forecasts [Benoit et al., 2002; Richard et al., 2007; Lean et al., 2008; Skamarock and Klemp, 2008; Schwartz et al., 2009; Weusthoff et al., 2010; Baldauf et al., 2011] and climate simulations [e.g.,…”
Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India (2010, methodology): “The high-resolution 3–6 km grid spacing simulations of precipitation using convection allowing configuration showed good promise (Done et al., 2004; Liu et al., 2006; Kain et al., 2006, 2008; Moncrieff and Liu, 2006; Trier et al., 2006; Lean et al., 2008).”
Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP (2008, methodology): “Narita and Ohmori (2007) and Lean et al. (2008) discuss similar efforts with the Japan Meteorological Agency’s (JMA) nonhydrostatic mesoscale model and the U.K.”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes (2015, methodology): “at ‘‘convection permitting’’ scales (horizontal grid spacing Dx of a few kilometers) is now routine at many research and operational centers (e.g., Kain et al. 2008; Lean et al. 2008;Weisman et al. 2008; Clark et al. 2012).”
Mixing‐length controls on high‐resolution simulations of convective storms (2013, background): “A number of studies (Lean et al., 2008; Kain et al., 2008; Weisman et al., 2008; Schwartz et al., 2009; Kendon et al., 2012) have shown that such models yield qualitatively more realistic precipitation fields and are quantitatively more skilful than lower-resolution simulations with parametrized…”
Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations (2011, background): “The representation of these effects is becoming increasingly important since regional-scale numerical weather prediction (NWP) models are now commonly run at the deep-convective scale, with a horizontal grid spacing of the order of 1 km (Kain et al. 2008; Lean et al. 2008).”
Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, neutral): “Many operational forecast centers are now using, or soon plan to use, horizontal grid spacing of O (1 km) (e.g., Weiss et al. 2008; Lean et al. 2008; Seity et al. 2011; Baldauf et al. 2011).”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…power, storm‐scale models with Δx of a few kilometers (often referred to as “convection‐permitting” models) are now routine at many operational weather forecast centers around the world (e.g., Benjamin et al., 2016; Clark et al., 2012; Lean et al., 2008; Milbrandt et al., 2016; Seity et al., 2010).”
Convection‐permitting models: a step‐change in rainfall forecasting (2016, background): “The delay in the initiation is seen to improve as the model grid-length is reduced, because it is essentially less viscous, and is much less of a problem at ∼1 km than at 4 km (Lean et al., 2008).”
Benefit of convection permitting climate model simulations in the representation of convective precipitation (2014, methodology): “Copious literature proves the added value of this spatial resolution in the representation of the precipitation field especially in cases of moist convection and/or in regions with strong orography (Langhans et al. 2013; Mass et al. 2002; Miura et al. 2007; Grell et al. 2000; Richard et al. 2007; Le”
On the interaction of observation and prior error correlations in data assimilation (2018, neutral): “…et al. (2016c) estimated Doppler radial wind observation errors to have correlation length-scales of the order of 20 km, compared with background-error correlation length-scales of the order of 100 km for the Met Ofﬁce’s high resolution U.K. (UKV) 1.5 km limited-area model (Lean et al. , 2008).”