Meso-gamma scale forecasts using the nonhydrostatic model LM

By J. Steppeler, G. Doms, U. Schättler, H. Bitzer, A. Gassmann, U. Damrath, G. Gregorič. 2003

919 citations recorded by the source corpus.

Subfields: Atmospheric Science, Oceanography

View Paper: https://www.semanticscholar.org/paper/58aa825fbd323e0eb45c869f592688d795057f02

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Citations in the corpus

Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models (2008, methodology): “(consortium for small-scale modeling) formerly known as ‘‘Local Model’’ [Steppeler et al., 2003].”
Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression (2014, methodology): “The COSMO-DE forecast dataset consists of a 20-member ensemble.”
Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO (2010, methodology): “Implementation of FLake into the limited-area NWP model COSMO As a lake parameterisation scheme, FLake is implemented into the limited-area NWP model COSMO (formerly called LM, Steppeler et al. 2003).”
Evaluation of the convection‐resolving climate modeling approach on continental scales (2017, methodology): “COSMO is a nonhydrostatic limited-area model that solves the fully compressible governing equations using finite difference methods on a structured grid [Steppeler et al., 2003; Förstner and Doms, 2004].”
A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “Although climate mitigation and adaptation measures are evaluated and applied at local to regional level, current state-of-the-art large-scale models (LSM) (global climate model (GCM) and regional climate model (RCM)) operate at horizontal grid spacing (Δx) larger than 100 km [e.g., Intergovernmenta”
Benefit of convection permitting climate model simulations in the representation of convective precipitation (2014, methodology): “3 Data and models COSMO is a non-hydrostatic local area model originally created by the German Weather Service (DWD) for weather predictions (Steppeler et al. 2003) and later adapted to perform climatological simulations by the COSMO-CLM community (Böhm et al.”
The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region (2011, methodology): “The Swiss version, INCA-CH, for example, uses Consortium for Small-Scale Modeling (COSMO; Steppeler et al. 2003) fields as a first guess.”
Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom (2008, background): “Other examples include the Japan Meteorological Agency (JMA; Narita and Ohmori 2007) and Germany’s National Meteorological Service, the Deutscher Wetterdienst (DWD; Steppeler et al. 2003).”
Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011, methodology): “The non-hydrostatic compressible COSMO model1 is a limited-area numerical weather prediction (NWP) model developed by Deutscher Wetterdienst (DWD) and the COSMO consortium (Steppeler et al., 2003).”
Influence of microphysical processes on the potential vorticity development in a warm conveyor belt: a case‐study with the limited‐area model COSMO (2012, methodology): “In order to investigate the influence of different microphysical processes on the PV development, simulations with the regional numerical weather prediction model COSMO (COnsortium for Small-scale MOdelling) (Steppeler et al., 2003) are performed.”
SAL—A Novel Quality Measure for the Verification of Quantitative Precipitation Forecasts (2008, methodology): “Comparing with the SAL values of the examples discussed in section 4a (cf. Table 3) indicates that example 1 belongs to the 5% best COSMO-aLMo forecasts, and example 3 to the best 15%.”
A new terrain-following vertical coordinate formulation for atmospheric prediction models (2002, methodology): “Other schemes to be considered include higherorder versions of the leapfrog scheme, the upstream scheme, and two versions of the Smolarkiewicz scheme ( Smolarkiewicz 1984 ).”
Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP (2008, background): “…suggest that, for the geographical, phenomenological, and temporal parameters of this study, any added value provided by decreasing the grid increment from 4 to 2 km (with commensurate adjustments to the vertical resolution) may not be worth the considerable increases in computational expense.”
Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing (2009, background): “Similar studies in other parts of the world (e.g., Roberts 2003; Speer et al. 2003; Steppeler et al. 2003) yielded equally encouraging results, and convection-allowing forecasts were extended to larger domains and longer time periods when 4-km next-day forecasts were produced in support of the Bow…”
Added value of convection permitting seasonal simulations (2013, methodology): “A detailed description of the COSMO model is given by Steppeler et al. (2003) and Doms and Förstner (2004) and for the CCLM model by Böhm et al. (2006) and Rockel et al. (2008).”