Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities

By Michael A. Baldauf, A. Seifert, Jochen Förstner, D. Majewski, M. Raschendorfer, T. Reinhardt. 2011

1,154 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fc2872143c206b51a3cf990db1093e911fec3049

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Citations in the corpus

Analysis of Fractions Skill Score properties for random precipitation fields and ECMWF forecasts (2016, methodology): “Many studies use the FSS for verification of precipitation (e.g. Baldauf et al., 2011; Rennie et al., 2011; Sobash et al., 2011; Romine et al., 2013; Wang et al., 2013a, 2013b).”
Neural Code Comprehension: A Learnable Representation of Code Semantics (2018, neutral): “Lines Size Pairs Machine Learning Tensorflow [1] 2,492 16,943,893 220,554 260,250,973 High-Performance Computing AMD APP SDK [9] 123 1,304,669 4,146 45,081,359 BLAS [22] 300 280,782 566 283,856 Benchmarks NAS [57] 268 572,521 1,793 1,701,968 Parboil [59] 151 118,575 2,175 151,916 PolybenchGPU [27] 4”
Overview of the PALM model system 6.0 (2019, methodology): “INIFOR is a stand-alone pre-processor that derives realistic initial and boundary conditions for the PALM domain from the operational mesoscale weather prediction model COSMO-DE/D2 (Baldauf et al., 2011). The pre-processed output is stored in a dynamic driver (see Sect. 5.2.1), a netCDF file that PA”
A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “They showed that the maximum atmospheric instability occurs before convective precipitation only when convection is not parameterized, which is in good agreement with results from numerical weather forecast [e.g., Baldauf et al., 2011].”
Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions (2015, methodology): “…weather prediction (NWP) centers are now running their models using 2–10-km horizontal resolution (Davies et al. 2005; Saito et al. 2006; Charles and Colle 2009; Baldauf et al. 2011; Seity et al. 2011), and some will be reaching sub-kilometer grid size within a few years (Hong and Dudhia 2012).”
Probabilistic quantitative precipitation forecasting using Ensemble Model Output Statistics (2013, methodology): “COSMO-DE-EPS is a multi-analysis and multi-physics ensemble prediction system based on the high-resolution numerical weather prediction (NWP) model COSMO-DE (Baldauf et al., 2011) 2011).”
Convection‐permitting models: a step‐change in rainfall forecasting (2016, methodology): “Similar developments were happening elsewhere over a similar period, including the development of the Weather Research and Forecasting (WRF) model (Michalakes et al., 2001), COnsortium for Small-scale MOdelling (COSMO) (Baldauf et al., 2011), Applications of Research to Operations at MEsoscale (AROM”
Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011, methodology): “For more details we refer to Baldauf et al.(2011).”
Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE (2012, methodology): “The COSMO-DE model This study is based on the HR-NWP model COSMODE (Baldauf et al. 2011), which is operated by DWD.”
Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “The ICON simulations are further compared with a reference simulation with the COnsortium for Small-scale MOdelling (COSMO) model (Baldauf et al., 2011) at a horizontal resolution of 2.8 km in a corresponding set-up, which is similar to Barthlott and Hoose (2015).”
A 35-GHz Polarimetric Doppler Radar for Long-Term Observations of Cloud Parameters—Description of System and Data Processing (2015, methodology): “…ice water content (lwc and iwc, respectively) using backscatter profiles of a ceilometer, the liquid water path of a microwave radiometer, temperature and humidity information of the small-scale numerical weather prediction model COSMO-DE [Consortium for Small-Scale Modeling (Baldauf et al. 2011).]”
The libRadtran software package for radiative transfer calculations (version 2.0.1) (2015, methodology): “Three visible channels of the SEVIRI instrument on the MSG (Meteosat Second Genera-965 tion) satellite were simulated based on input data from the operational COSMO-DE forecast (Baldauf et al., 2011) of Deutscher Wetterdienst for the 15th July 2012, 12 UTC.”
Entrainment and detrainment in cumulus convection: an overview (2013, neutral): “Finally, we are entering an new era in which highresolution models (∼ 1–10 km) become operational as NWP models (e.g. Staniforth and Wood, 2008; Weisman, 2008; Baldauf et al., 2011; Seity et al., 2011).”
Evaluation of the convection‐resolving climate modeling approach on continental scales (2017, methodology): “…SIMULATION 5251 can be reduced to a certain degree by carefully calibrating the turbulent-mixing lengths used in turbulence closure models [Baldauf et al., 2011], there seems to be a trade-off between correctly representing small convective cells and larger storms [Hanley et al., 2015].”
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).”
The LAGRANTO Lagrangian analysis tool – version 2.0 (2015, background): “In particular, a fully functional version exists for the COSMO non-hydrostatic regional model (Baldauf et al., 2011).”
Evaluation of the convection‐resolving regional climate modeling approach in decade‐long simulations (2014, background): “This change is beneficial for the initiation of deep convection in CRM2, even though it slightly deteriorates the forecast of large-scale stratiform precipitation and leads to a slight warm bias of near-surface temperature [Baldauf et al., 2011].”
Online coupled regional meteorology chemistry models in Europe: current status and prospects (2013, methodology): “COSMO Baldauf et al. (2011), Steppeler NonSemiMoist: Tiedtke Prognostic TKE δ two-stream COSMO-ART,”