Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP

By J. Kain, S. Weiss, D. Bright, M. Baldwin, Jason J. Levit, Gregory W. Carbin, Craig S. Schwartz, M. Weisman, Kelvin Droegemeier, D. Weber and 1 more. 2008

471 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c345fa7e43bfe113e625236e9ac821bb6952aed4

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Citations in the corpus

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…”
Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, unknown): “Thus, with recent advances in computing power they have been used for regional-scale numerical weather prediction (NWP), with a focus on warm season convection forecasting (e.g., Done et al. 2004; Kain et al. 2008; Weisman et al. 2008).”
Convection‐permitting models: a step‐change in rainfall forecasting (2016, background): “It is the view of many American scientists when assessing forecasts of such large convective systems that any benefits from using models with higher resolution than 4 km are outweighed by the additional cost (Kain et al., 2008).”
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).”
Toward Better Understanding of the Contiguous Rain Area (CRA) Method for Spatial Forecast Verification (2009, methodology): “As a ﬁnal test of the strengths and weaknesses of the CRA method, veriﬁcation was performed on 24-h fore-casts of 60-min accumulated rainfall for nine convective event cases (Table 3) for which 2-or 4-km conﬁgurations of the WRF model were run during the 2005 Storm Prediction Center Spring Program (”
The Method for Object-Based Diagnostic Evaluation (MODE) Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring Program (2009, unknown): “Additional information about the setup of the models may be found in Baldwin and Elmore (2005) and Kain et al. (2008).”