Works matching AU Brdar, Slavko
Results: 13
Response of convective boundary layer and shallow cumulus to soil moisture heterogeneity: A large-eddy simulation study.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Catchment-scale circulations in TerrSysMP with ICON.
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- Geophysical Research Abstracts, 2018, v. 20, p. 6314
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ICON opportunities at the Research Center Jülich.
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- Geophysical Research Abstracts, 2018, v. 20, p. 2485
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Introduction of an Experimental Terrestrial Forecasting/Monitoring System at Regional to Continental Scales Based on the Terrestrial Systems Modeling Platform (v1.1.0).
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- Water (20734441), 2018, v. 10, n. 11, p. 1697, doi. 10.3390/w10111697
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Response of Convective Boundary Layer and Shallow Cumulus to Soil Moisture Heterogeneity: A Large‐Eddy Simulation Study.
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- Journal of Advances in Modeling Earth Systems, 2019, v. 11, n. 12, p. 4305, doi. 10.1029/2019MS001772
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Large eddy simulation using the general circulation model ICON.
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- Journal of Advances in Modeling Earth Systems, 2015, v. 7, n. 3, p. 963, doi. 10.1002/2015MS000431
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Comparison of dynamical cores for NWP models: comparison of COSMO and Dune.
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- Theoretical & Computational Fluid Dynamics, 2013, v. 27, n. 3/4, p. 453, doi. 10.1007/s00162-012-0264-z
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Large‐eddy simulation of catchment‐scale circulation.
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- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, n. 720, p. 1218, doi. 10.1002/qj.3491
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Large-eddy simulations over Germany using ICON: a comprehensive evaluation.
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- Quarterly Journal of the Royal Meteorological Society, 2017, v. 143, n. 702, p. 69, doi. 10.1002/qj.2947
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3D diffusion in terrain-following coordinates: testing and stability of horizontally explicit, vertically implicit discretizations.
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- Quarterly Journal of the Royal Meteorological Society, 2016, v. 142, n. 698, p. 2087, doi. 10.1002/qj.2805
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An analytic solution for linear gravity waves in a channel as a test for numerical models using the non-hydrostatic, compressible Euler equations.
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- Quarterly Journal of the Royal Meteorological Society, 2013, v. 139, n. 677, p. 1977, doi. 10.1002/qj.2105
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Best practice regarding the three P's: profiling, portability and provenance when running HPC geoscientific applications.
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- Geoscientific Model Development Discussions, 2017, p. 1, doi. 10.5194/gmd-2017-242
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A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications.
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- Geoscientific Model Development, 2018, v. 11, n. 7, p. 2875, doi. 10.5194/gmd-11-2875-2018
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