apl. Prof. Dr. Siegfried Raasch

apl. Prof. Dr. Siegfried Raasch
Adresse
Herrenhäuser Straße 2
30419 Hannover
Gebäude
Raum
apl. Prof. Dr. Siegfried Raasch
Adresse
Herrenhäuser Straße 2
30419 Hannover
Gebäude
Raum
Funktionen
Professorinnen und Professoren
Grenzschichtmeteorologie
Institut für Meteorologie und Klimatologie
Professorinnen und Professoren
AG Grenzschichtmeteorologie

Publikationsliste

Journale

  • Frederickson, L. B., Russell, H. S., Raasch, S., Zhang, Z., Schmidt, J.A., Johnson, M.S., and O. Hertel (2024): Urban vertical air pollution gradient and dynamics investigated with low-cost sensors and large-eddy simulationsAtmos. Env., 316, 120126
    DOI: 10.1016/j.atmosenv.2023.120162
  • Klamt, J., S. Giersch, and S. Raasch (2024): Saltation-Induced Dust Emission of Dust Devils in the Convective Boundary Layer—An LES Study on the Meter ScaleJ. Geophys. Res. Atmos., 129(7), e2023JD040058
    DOI: 10.1029/2023JD040058
  • Giersch, S. and S. Raasch, (2023): How Do Dust Devil-Like Vortices Depend on Model Resolution? A Grid Convergence Study Using Large-Eddy SimulationBound.-Layer Meteorol., 187, 703-742
    DOI: 10.1007/s10546-023-00792-3
  • Gryschka, M., Gryanik, V. M., Lüpkes, C., Mostafa, Z., Sühring, M., Witha, B., Raasch, S. (2023): Turbulent heat exchange over polar leads revisited: A large eddy simulation studyJournal of Geophysical Research: Atmosphere
    DOI: 10.1029/2022JD038236
    ISSN: 2169-897X
  • Rahlves, C., F. Beyrich, and S. Raasch (2022): Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluationAtmos. Meas. Tech., 15, 2839–2856
    DOI: 10.5194/amt-15-2839-2022
  • Giersch, S., O. El Guernaouia, S. Raasch, M. Sauer, and M. Palomar (2022): Atmospheric flow simulation strategies to assess turbulent wind conditions for safe drone operations in urban environmentsJ. Wind Eng. Ind. Aerodyn., 229, 105136
    DOI: 10.1016/j.jweia.2022.105136
  • Hellsten, A., K. Ketelsen, M. Sühring, M. Auvinen, B. Maronga, C. Knigge, F. Barmpas, G. Tsegas, N. Moussiopoulos, and S. Raasch (2021): A nested multi-scale system implemented in the Large-Eddy simulation model PALM model system 6.0Geosci. Model Dev., 14, 3185–3214
    DOI: 10.5194/gmd-14-3185-2021
  • Khan, B., S. Banzhaf, E.C. Chan, R. Forkel, F. Kanani-Sühring, K. Ketelsen, M. Kurppa, B. Maronga, M. Mauder, S. Raasch, E. Russo, M. Schaap, and M. Sühring (2021): Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applicationsGeosci. Model Dev., 14, 1171–1193
    DOI: 10.5194/gmd-14-1171-2021
  • Gronemeier, T., K. Surm, F. Harms, B. Leitl, B. Maronga, and S. Raasch (2021): Evaluation of the dynamic core of the PALM model system 6.0 in a neutrally stratified urban environment: comparison between LES and wind-tunnel experimentsGeosci. Model Dev., 14, 3317–3333
    DOI: 10.5194/gmd-14-3317-2021
  • Giersch, S. and S. Raasch (2021): Evolution and Features of Dust Devil-Like Vortices in Turbulent Rayleigh-Bénard Convection—A Numerical Study Using Direct Numerical SimulationJ. Geophys. Res. Atmos., 126(7), e2020JD034334
    DOI: 10.1029/2020JD034334
  • Kadasch, E., M. Sühring, T. Gronemeier, and S. Raasch (2020): Mesoscale nesting interface of the PALM model system 6.0Geosci. Model Dev., 14, 5435–5465
    DOI: 10.5194/gmd-14-5435-2021
  • Brereton, A., Y. Noh, and S. Raasch (2020): Modelling a simple mechanism for the formation of phytoplankton thin layers using large-eddy simulation: in situ growthMar Ecol Prog Ser., 653,77-90
    DOI: 10.3354/meps13471
  • Maronga, B., S. Banzhaf, C. Burmeister, T. Esch, R. Forkel, D. Fröhlich, V. Fuka, K.F. Gehrke, J. Geletič, S. Giersch, T. Gronemeier, G. Groß, W. Heldens, A. Hellsten, F. Hoffmann, A. Inagaki, E. Kadasch, F. Kanani-Sühring, K. Ketelsen, B. A. Khan, C. Knigge, H. Knoop, P. Krč, M. Kurppa , H. Maamari, A. Matzarakis, M. Mauder, M. Pallasch, D. Pavlik, J. Pfafferott, J. Resler, S. Rissmann, E. Russo, M. Salim, M. Schrempf, J. Schwenkel, G. Seckmeyer, S. Schubert, M. Sühring, R. von Tils, L. Vollmer, S. Ward, B. Witha, H. Wurps, J. Zeidler, and S. Raasch (2020): Overview of the PALM model system 6.0Geosci. Model Dev., 13, 1335-1372
    DOI: 10.5194/gmd-13-1335-2020
  • Maronga, B., C. Knigge, and S. Raasch (2020): An improved surface boundary condition for large eddy simulations based on Monin-Obukhov similarity theory: Evaluation and consequences for grid convergence in neutral and stable conditionsBoundary-Layer Meteorol., 174, 297-325
    DOI: 10.1007/s10546-019-00485-w
  • Schultze, L.K.P., L.M. Merckelbach, J. Horstmann, S. Raasch and J.R. Carpenter (2020): Increase mixing and turbulence in the wake of offshore wind farm foundationsJ. Geophys. Res.: Oceans, 125
    DOI: 10.1029/2019JC015858
  • Han, C., S. Brdar, S. Raasch, and S. Kollet (2019): Large-eddy simulation of catchment-scale circulationQ. J. R. Meteorol. Soc., 145, 1218-1233
    DOI: 10.1002/qj.3491
  • Huq, S., F. De Roo, S. Raasch and M. Mauder (2019): Vertically nested LES for high-resolution simulation of the surface layer in PALM (version 5.0)Geosci. Model Dev., 12, 2523-2538
    DOI: 10.5194/gmd-12-2523-2019
  • Maronga, B., G. Groß, S. Raasch, S. Banzhaf, R. Forkel, W. Heldens, F. Kanani-Sühring, A. Matzarakis, M. Mauder, D. Pavlik, J. Pfafferott, S. Schubert, G. Seckmeyer, H. Sieker, K. Winderlich (2019): Development of a new urban climate model based on the model PALM - Project overview, planned work, and first achievements Met. Z., 28, 105-119
    DOI: 10.1127/metz/2019/0909
  • Scherer D., F. Antretter, S. Bender, J. Cortekar, S. Emeis, U. Fehrenbach, G. Gross, G. Halbig, J. Hasse, B. Maronga, S. Raasch, and K. Scherber (2019): Urban Climate Under Change [UC]² - A National Research Programme for Developing a Buildung-Resolving Atmospheric Model for Entire City RegionsMet. Zeit., Nr. 2, 28(2), 95-104
    DOI: 10.1127/metz/2019/0913
  • Wang, W., Y. Xu, E. Ng, and S. Raasch (2018): Evaluation of satellite-derived building height extraction by CFD simulations: A case study of neighborhood-scale ventilation in Hong KongLandscape and Urban Planning, 170, 90-102
    DOI: 10.1016/j.landurbplan.2017.11.008
  • Noh, Y., D. Oh, F. Hoffmann, and S. Raasch (2018): A Cloud Microphysics Parameterization for Shallow Cumulus Clouds Based on Lagrangian Cloud Model SimulationsJ. Atmos. Sci., 75(11), 4031-4047
    DOI: 10.1175/JAS-D-18-0080.1
  • Neves. T., G. Fisch, and S. Raasch (2018): Local convection and turbulence in the Amazonia using large eddy simulation modelAtmosphere, 9, 399
    DOI: 10.3390/atmos9100399
  • Knoop, H., T. Gronemeier, M. Sühring, P. Steinbach, M. Noack, F. Wende, T. Steinke, C. Knigge, S. Raasch, and K. Ketelsen. (2018): Porting the MPI-parallelized LES model PALM to multi-GPU systems and many integrated core processors - an experience reportInt. J. Computational Science and Engineering, 17(3), 297–309
    DOI: 10.1504/IJCSE.2018.095850
  • Kurppa, M., A. Hellsten, M. Auvinen, S. Raasch, T. Vesala, and L. Järvi (2018): Ventilation and air quality in city blocks using large-eddy simulation - Urban planning perspectiveAtmosphere, 9, 65
    DOI: 10.3390/atmos9020065
  • Wulfmeyer, V., D.D. Turner, B. Baker, R. Banta, A. Behrendt, T. Bonin, W.A. Brewer, M. Buban, A. Choukulkar, E. Dumas, R.M. Hardesty, T. Heus, J. Ingwersen, D. Lange, T. Lee, S. Metzendorf, S. Muppa, T. Meyers, R. Newsom, M. Osman, S. Raasch, J. Santanello, C. Senff, F. Späth, T. Wagner, and T. Weckwerth (2018): A New Research Approach for Observing and Characterizing Land-Atmosphere FeedbackBull. Amer. Meteor. Soc., 99, 1639-1667
    DOI: 10.1175/BAMS-D-17-0009.1
  • Schwenkel, J., F. Hoffmann, and S. Raasch (2018): Improving collisional growth in Lagrangian cloud models: development and verification of a new splitting algorithmGeosci. Model Dev.,11, 3929-3944
    DOI: 10.5194/gmd-11-3929-2018
  • Gronemeier, T., F. Kanani-Sühring, and S. Raasch (2017): Do shallow cumulus clouds have the potential to trigger secondary circulations via shading?Boundary-Layer Meteorol., 162(1), 143-169
    DOI: 10.1007/s10546-016-0180-7
  • Wang, W., E. Ng, C. Yuan, and S. Raasch (2017): Large-eddy simulations of ventilation for thermal comfort — A parametric study of generic urban configurations with perpendicular approaching windsUrban climate, 20, 202-227
    DOI: 10.1016/j.uclim.2017.04.007
  • Heinze, R., Moseley, C., Böske, L. N., Muppa, S., Maurer, V., Raasch, S., and Stevens, B. (2017): Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaignAtmos. Chem. Phys., 17, 7083-7109
    DOI: 10.5194/acp-17-7083-2017
  • Kanani-Sühring, F. and S. Raasch (2017): Enhanced scalar concentrations and fluxes in the lee of forest patches: a large-eddy simulation studyBoundary-Layer Meteorol., 164, 1–17
    DOI: 10.1007/s10546-017-0239-0
  • Hoffmann, F., Y. Noh, and S. Raasch (2017): The route to raindrop formation in a shallow cumulus cloud simulated by a Lagrangian cloud modelJ. Atmos. Sci., 74, 2125-2142
    DOI: 10.1175/JAS-D-16-0220.1
  • Gronemeier, T., S. Raasch, and E. Ng (2017): Effects of unstable stratification on ventilation in Hong KongAtmosphere, 8 (9), 168
    DOI: 10.3390/atmos8090168
  • Spiga, A., E. Barth, Z. Gu, F. Hoffmann, J. Ito, B. Jemmett-Smith, M. Klose, S. Nishizawa, S. Raasch, S. Rafkin, T. Takemi, D. Tyler, W. Wei (2016): Large-eddy simulations of dust devils and convective vorticesSpace Sci. Rev.
    DOI: 10.1007/s11214-016-0284-x
  • Knigge, C. and S. Raasch (2016): Improvement and development of one- and two-dimensional discrete gust models using a large-eddy simulation modelJournal of Wind Engineering and Industrial Aerodynamics, 153, 46–59
    DOI: 10.1016/j.jweia.2016.03.004
  • Heinze, R., D. Mironov and S. Raasch (2016): Analysis of pressure-strain and pressure gradient-scalar covariances in cloud-topped boundary layers: A large-eddy simulation studyJ. Adv. Model. Earth Syst., 8, 3-30
    DOI: 10.1002/2015MS000508
  • Bakkali, M.,A. Inagaki,Y. Ashie, Y. Yoshida, M. Kanda, and S. Raasch (2015): Thermal Large Eddy Simulation with sensible heat flux distribution from various 3d building geometriesJournal of Japan Society of Civil Engineers, Ser.B1(Hydraulic Engineering), Vol.71,No.4,I_433-I_438
    DOI: 10.2208/jscejhe.71.I_433
  • Heinze, R., D. Mironov and S. Raasch (2015): Second-moment budgets in cloud-topped boundary layers: A large-eddy simulation studyJ. Adv. Model. Earth Syst., 07
    DOI: 10.1002/2014MS000376
  • Kanani-Sühring, F. and S. Raasch (2015): Spatial variability of scalar concentrations and fluxes downstream of a clearing-to-forest transition: A large-eddy simulation studyBoundary-Layer Meteorol., 155, 1-27
    DOI: 10.1007/s10546-014-9986-3
  • Hellsten, A., S. Tu, G. Steinfeld, F. Kanani-Sühring, T. Markkanen, L. Järvi, J. Lento, T. Vesala and S. Raasch (2015): Footprint evaluation for flux and concentration measurements for an urban-like canopy with coupled Lagrangian stochastic and large-eddy simulation modelsBoundary-Layer Meteorol., 157, 191-217
    DOI: 10.1007/s10546-015-0062-4
  • Hoffmann, F., S. Raasch and Y. Noh (2015): Entrainment of aerosols and their activation in a shallow cumulus cloud studied with a coupled LCM-LES approachAtmos. Res., 156, 43-57.
    DOI: 10.1016/j.atmosres.2014.12.008
  • Riechelmann, T., U. Wacker, K.D. Beheng, D. Etling and S. Raasch (2015): Influence of turbulence on the drop growth in warm clouds, Part II: Sensitivity studies with a spectral bin microphysics and a Lagrangian cloud modelMeteorol. Z., 24, 293-311
    DOI: 10.1127/metz/2015/0608
  • Knigge, C., T. Auerswald, S. Raasch and J. Bange (2015): Comparison of two different methods that provide highly resolved atmospheric turbulence data for simulations of stall effectsComputers and Fluids, 108, 57–66
    DOI: doi:10.1016/j.compfluid.2014.11.005
  • Maronga, B., M. Gryschka, R. Heinze, F. Hoffmann, F. Kanani-Sühring, M. Keck, K. Ketelsen, M. O. Letzel, M. Sühring, and S. Raasch (2015): The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for Atmospheric and Oceanic Flows: Model Formulation, Recent Developments, and Future PerspectivesGeosci. Model Dev., 8, 2515-2551
    DOI: 10.5194/gmd-8-2515-2015
  • Stawiarski, C., K. Träumner, C. Kottmeier, C. Knigge and S. Raasch (2015): Assessment of surface layer coherent structure detection in dual-doppler lidar data based on virtual measurementsBoundary-Layer Meteorol., 156, 371-393
    DOI: 10.1007/s10546-015-0039-3
  • Gryschka, M., J. Fricke and S. Raasch (2014): On the Impact of Forced Roll Convection on Vertical Turbulent Transport in Cold-air OutbreaksJ. Geophys. Res., 119, 12,513-12,532
    DOI: 10.1002/2014JD022160
  • Hoffmann, F., H. Siebert, J. Schumacher, T. Riechelmann, J. Katzwinkel, B. Kumar, P. Götzfried and S. Raasch (2014): Entrainment and mixing at the interface of shallow cumulus clouds: Results from a combination of observations and simulationsMeteorol. Z., 23, 349-368
    DOI: 10.1127/0941-2948/2014/0597
  • Kanani, F., K. Träumner, B. Ruck and S. Raasch (2014): What determines the differences found in forest edge flow between physical models and atmospheric measurements? -- An LES studyMeteorol. Z., 23(1), 33-49
    DOI: 10.1127/0941-2948/2014/0542
  • Sühring, M., B. Maronga, F. Herbort and S. Raasch (2014): On the effect of surface heat-flux heterogeneities on the mixed-layer top entrainment.Boundary-Layer Meteorol., 151, 531-556
    DOI: 10.1007/s10546-014-9913-7
  • Lee, J.H., Y. Noh, S. Raasch, T. Riechelmann and L.-P. Wang (2014): Investigation of Droplet Dynamics in a Convective Cloud Using a Lagrangian Cloud ModelMeteorology and Atmospheric Physics
    DOI: 10.1007/s00703-014-0311-y
  • Maronga, B., O. K. Hartogensis, S. Raasch and F. Beyrich (2014): The effect of surface heterogeneity on the structure parameters of temperature and humidity - An LES case study for the LITFASS-2003 experimentBoundary-Layer Meteorol., 153, 441–470
    DOI: 10.1007/s10546-014-9955-x
  • Maronga, B. and S. Raasch (2013): Large-Eddy Simulations of Surface Heterogeneity Effects on the Convective Boundary Layer During the LITFASS-2003 ExperimentBoundary-Layer Meteorol., 148, 309-331
    DOI: 10.1007/s10546-012-9748-z
  • Stawiarski, C., K. Träumner, C. Knigge, R. Calhoun (2013): Scopes and Challenges of Dual-Doppler Lidar Wind Measurements — An Error AnalysisJ. Atmos. Oceanic Technol., 30, 2044–2062
    DOI: 10.1175/JTECH-D-12-00244.1
  • Maronga, B., A. F. Moene, D. van Dinther, S. Raasch, F. Bosveld and B. Gioli (2013): Derivation of structure parameters of temperature and humidity in the convective boundary layer from large-eddy simulations and implications for the interpretation of scintillometer observationsBoundary-Layer Meteorology, 148, 1-30
    DOI: 10.1007/s10546-013-9801-6
  • Kanda, M., A. Inagaki, T. Miyamoto, M. Gryschka and S. Raasch (2013): A New Aerodynamic Parameterization for Real Urban SurfacesBoundary-Layer Meteorol., 148, 357-377
    DOI: 10.1007/s10546-013-9818-x
  • Sühring, M. and S. Raasch (2013): Heterogeneity-induced heat flux patterns in the convective boundary layer: Can they be detected from observations and is there a blending height? - A large-eddy simulation study for the LITFASS-2003 experimentBoundary-Layer Meteorol., 148, 309-331
    DOI: 10.1007/s10546-013-9822-1
  • Letzel, M.O., C. Helmke, E. Ng, X. An, A. Lai and S. Raasch (2012): LES case study on pedestrian level ventilation in two neighbourhoods in Hong Kong.Meteorol. Z., 21, 575-589, associated movie publication
    DOI: 10.1127/0941-2948/2012/0356
  • Beyrich, F., J. Bange, O. Hartogensis, S. Raasch, M. Braam, D. van Dinter, D. Gräf, B. van Kesteren, A. van den Kroonenberg, B. Maronga, S. Martin and A. F. Moene (2012): Towards a validation of scintillometer measurements: The LITFASS-2009 experiment.Boundary-Layer Meteorol., 144, 83-112
    DOI: 10.1007/s10546-012-9715-8
  • Heinze, R., S. Raasch and D. Etling (2012): The structure of Karman vortex streets in the atmospheric boundary layer derived from large eddy simulation.Meteorol. Z., 21, 221-237
    DOI: 10.1127/0941-2948/2012/0313
  • Riechelmann, T., Y. Noh and S. Raasch (2012): A new method for large-eddy simulations of clouds with Lagrangian droplets including the effects of turbulent collision.New J. Phys., 14, 065008
    DOI: 10.1088/1367-2630/14/6/065008
  • Park, S.B., J.J. Baik, S. Raasch and M.O. Letzel (2012): A large-eddy simulation study of thermal effects on turbulent flow and dispersion in and above a street canyon.J. Appl. Meteor. Climatol., 51, 829-841
    DOI: 10.1175/JAMC-D-11-0180.1
  • Lüpkes, C., T. Vihma, G. Birnbaum, S. Dierer, T. Garbrecht, V. Gryanik, M. Gryschka, J. Hartmann, G. Heinemann, L. Laleschke, S. Raasch, H. Savijärvi, K.H. Schlünzen and U. Wacker, (2012): Mesoscale modelling of the arctic atmospheric boundary layer and its interaction with sea iceP. Lemke and H.-W. Jacobi: Arctic climate change. The ACSYS decade and beyond. Atmospheric and Oceanographic Sciences Library, Vol. 43, Springer,
    DOI: 10.1007/978-94-007-2027-5
  • Noh, Y, G. Goh and S. Raasch (2011): Influence of Langmuir Circulation on the Deepening of the Wind-Mixed LayerJ. Phys. Oceanogr., 41, 472-484
    DOI: 10.1175/2010JPO4494.1
  • Iwado, T., R. Moriwaki, S. Raasch and M.O. Letzel (2011): Numerical experiments on turbulent flow within and above urban canopies with different building aspect ratio (in Japanese).Annual J. Hydraulic Eng., JSCE, 55, S331-S336.
  • Raasch, S. and T. Franke (2011): Structure and formation of dust devil-like vortices in the atmospheric boundary layer: A high-resolution numerical study.J. Geophys. Res.
    DOI: 10.1029/2011JD016010
  • Foken, T., M. Mauder, C. Liebethal, F. Wimmer, F. Beyrich, J.-P. Leps, S. Raasch, H. A. R. DeBruin, W. M. L. Meijninger and J. Bange (2010): Energy balance closure for the LITFASS-2003 experiment Theor. Appl. Clim., 101, 149-160
    DOI: 10.1007/s00704-009-0216-8
  • Noh, Y., G. Goh and S. Raasch (2010): Examination of the mixed layer deepening process during convection using LESJ. Phys. Oceanogr., 40, 2189-2195
    DOI: 10.1175/2010JPO4277.1
  • Markkanen, T., G. Steinfeld, N. Kljun, S. Raasch and T. Foken (2010): A numerical case study on footprint model performance under inhomogeneous flow conditionsMeteorol. Z., 19, 539-547
  • Noh, Y., G. Goh, S. Raasch and M. Gryschka (2009): Formation of a diurnal thermocline in the ocean mixed layer simulated by LES J. Phys. Oceanogr., 39, 1244-1257
    DOI: 10.1175/2008JPO4032.1
  • Markkanen, T., G. Steinfeld, N. Kljun, S. Raasch and T. Foken (2009): Comparison of conventional Lagrangian stochastic footprint models against LES driven footprint estimates Atmos. Chem. Phys., 9, 5575-5586
  • Lüpkes C., V. Gryanik, B. Witha, M. Gryschka, S. Raasch and T. Gollnik (2008): Modeling convection over arctic leads with LES and a non-eddy-resolving microscale modelJ. Geophys. Res., 113, C09028
    DOI: 10.1029/2007JC004099
  • Letzel, M. O., G. Gaus, S. Raasch, N. Jensen and M. Kanda (2008): Turbulent flow around high-rise office buildings in downtown TokyoDynamic Visualization in Science, No. 13100, originally published under the URL http://www.dyvis.org/DyVis?Sig=13100 (dead Link) or Youtube https://www.youtube.com/watch?v=SlfxemIZq2o
  • Steinfeld, G., S. Raasch and T. Markkanen (2008): Footprints in homogeneously and heterogeneously driven boundary layers derived from a Lagrangian stochastic particle model embedded into large-eddy simulationBoundary-Layer Meteorol., 129, 225-248
  • Letzel, M.O., M. Krane and S. Raasch (2008): High resolution urban large-eddy simulation studies from street canyon to neighbourhood scaleAtmos. Env., 42, 8770-8784
    DOI: 10.1016/j.atmosenv.2008.08.001
  • Gryschka, M., C. Drüe, D. Etling and S. Raasch (2008): On the influence of sea-ice inhomogeneities onto roll convection in cold-air outbreaksGeophys. Res. Lett., 35, L23804
    DOI: 10.1029/2008GL035845
  • Steinfeld, G., M. O. Letzel, S. Raasch, M. Kanda and A. Inagaki (2007): Spatial representativeness of single tower measurements and the imbalance problem with EC fluxes - results of an LES studyBoundary-Layer Meteorol., 123, 77-98
    DOI: 10.1007/s10546-006-9133-x
  • Noh, Y., Kang, I.S., Herold, M. and S. Raasch (2006): Large-eddy simulation of particle settling in the ocean mixed layerPhys. of Fluids, 18, 085109
  • Beare, R.J, M.A.J. Cortes, J. Cuxart, I. Esau, C. Golaz, A.A.M. Holtslag, M. Khairoutdinov, B. Kosovic, D. Lewellen, T. Lund, J. Lundquist, A. Mccabe, M.K. Macvean, A. Moene, Y. Noh, G. Poulos, S. Raasch and P. Sullivan (2006): An intercomparison of large-eddy simulations of the stable boundary layerBoundary-Layer Meteorol., 118, 247-272
  • Mengelkamp, H.-T., F. Beyrich, G. Heinemann, F. Ament, J. Bange, F. Berger, J. Bösenberg, T. Foken, B. Hennemuth, C. Heret, S. Huneke, K.-P. Johnsen, M. Kerschgens, W. Kohsiek, J.-P. Leps, C. Liebethal, H. Lohse, M. Mauder, W. Meijninger, S. Raasch, C. Simmer, T. Spieß, A. Tittebrand, J. Uhlenbrock and P. Zittel (2006): Evaporation over a heterogeneous land surface: The EVA-GRIPS projectBull. Amer. Meteor., Soc., 87, 775-786
  • Inagaki, A., M.O. Letzel, S. Raasch and M. Kanda (2006): Impact of surface heterogeneity on energy imbalance: A study using LESJ. Meteor. Soc. Japan, 84, 187-198
    DOI: 10.2151/jmsj.84.187
  • Gryanik, V., J. Hartmann, S. Raasch and M. Schröter (2006): A refinement of the Millionshchikov quasi-normality hypothesis for convective boundary layer turbulenceJ. Atmos. Sci., 62, 2632-2638
  • Gryschka, M. and S. Raasch (2005): Roll convection during a cold air outbreak: A large-eddy simulation with stationary model domainGeophys. Res. Lett., 32, L14805
    DOI: 10.1029/2005GL022872
  • Inagaki, A., M. Kanda, M.O. Letzel and S. Raasch (2005): The impact of the surface heterogeneity on the energy imbalance problem using LES (in Japanese)Annual J. Hydraulic Eng., JSCE, 49, 343-348
  • Raabe, A., K. Arnold, A. Ziemann, F. Beyrich, J.-P. Leps, J. Bange, P. Zittel, T. Spiess, T. Foken, M. Göckede, M. Schröter and S. Raasch (2005): STINHO - Structure of turbulent transport under inhomogeneous surface conditions - part 1: The micro-a scale field experimentMeteorol. Z., 14, 315-327
  • Schröter, M., S. Raasch and H. Jansen (2005): New results on the cell broadening problem during cold air outbreaks from high resolution large-eddy simulationsJ. Atmos. Sci., 62, 2023-2032
  • Kanda, M., A. Inagaki, M.O. Letzel, S. Raasch and T. Watanabe (2004): LES study of the energy imbalance problem with eddy covariance fluxesBoundary-Layer Meteorol., 110, 381-404
    DOI: 10.1023/B:BOUN.0000007225.45548.7a
  • Kim, H.-J., Y. Noh and S. Raasch (2004): Interaction between wind and temperature fields under the heterogeneous heat flux in the planetary boundary layerBoundary-Layer Meteorol., 111, 225-246
    DOI: 10.1023/B:BOUN.0000016471.75325.75
  • Noh, Y., H.S. Min and S. Raasch (2004): Large-eddy simulation of the ocean mixed layer: The effects of wave breaking and Langmuir circulationJ. Phys. Oceanogr., 34, 720-735
    DOI: 10.1175/1520-0485(2004)034<0720:LESOTO>2.0.CO;2
  • Weinbrecht, S., S. Raasch, A. Ziemann, K. Arnold and A. Raabe (2004): Comparison of large-eddy simulation data with spatially averaged measurements obtained by acoustic tomography - presuppositions and first resultsBoundary-Layer Meteorol., 111, 441-465
    DOI: 10.1023/B:BOUN.0000016501.92974.a5
  • Inagaki, A., M. Kanda, M.O. Letzel and S. Raasch (2003): LES study of the energy imbalance problem for heterogeneous surface (in Japanese)Annual J. Hydraulic Eng., JSCE, 47, 37-42
  • Letzel, M.O. and S. Raasch (2003): Large-eddy simulation of thermally induced oscillations in the convective boundary layerJ. Atmos. Sci., 60, 2328-2341
    DOI: 10.1175/1520-0469(2003)060<2328:LESOTI>2.0.CO;2
  • Noh, Y., W.-G. Cheon, S.-Y. Hong and S. Raasch (2003): Improvement of the K-profile model for the planetary boundary layer based on large-eddy simulation dataBoundary-Layer Meteorol., 107, 401-427
    DOI: 10.1023/A:1022146015946
  • Noh, Y., W.-G. Cheon and S. Raasch (2003): The role of preconditioning in the evolution of open-ocean deep convectionJ. Phys. Oceanogr., 33, 1145-1166 (selected among "Papers of note" in the Bull. Amer. Meteor. Soc., 84, 574-575, in May 2003)
    DOI: 10.1175/1520-0485(2003)033<1145:TROPIT>2.0.CO;2
  • Kanda, M., M.O. Letzel, A. Inagaki and S. Raasch (2002): Investigation on spatial representativeness of point measurements - implication for imbalance problem (in Japanese)Annual J. Hydraulic Eng., JSCE, 46, 97-102 (awarded the Best Paper Price of the 46th "Suiko" Conference (Water Civil Engineering) in Nagoya, Japan, by the Japan Society of Civil Engineers on 12 March 2002)
  • Kanda, M., T. Watanabe, M.O. Letzel and S. Raasch (2002): LES study on the energy imbalance problem with eddy covariance fluxes. I. Analysis for convective boundary layers (in Japanese)J. Japan Soc. Hydro. Water Res., 15, 243-252
  • Letzel, M.O. and S. Raasch (2002): Large-eddy simulation of thermally induced oscillations in the convective boundary layerAnnual J. Hydraulic Eng., JSCE, 46, 67-72
  • Olbrich, S., H. Pralle and S. Raasch (2001): Using streaming and parallelization techniques for 3D visualization in a high-performance computing and networking environmentLecture Notes in Computer Science, 2110, 231-240
  • Raasch, S. and G. Harbusch (2001): An analysis of secondary circulations and their effects caused by small-scale surface inhomogeneities using large-eddy simulationBoundary-Layer Meteorol., 101, 31-59
    DOI: 10.1023/A:1019297504109
  • Raasch, S. and M. Schröter (2001): PALM - A large-eddy simulation model performing on massively parallel computersMeteorol. Z., 10, 363-372
    DOI: 10.1127/0941-2948/2001/0010-0363
  • Weinbrecht, S. and S. Raasch (2001): High resolution simulations of the turbulent flow in the vicinity of an arctic leadJ. Geophys. Res., 106 C11, 27035-27046
  • Schröter, M., J. Bange and S. Raasch (2000): Simulated airborne flux measurements in a LES generated convective boundary layerBoundary-Layer Meteorol., 95, 437-456
    DOI: 10.1023/A:1002649322001
  • Raasch, S. and D. Etling (1998): Modeling deep ocean convection: Large-eddy simulation in comparison with laboratory experimentsJ. Phys. Oceanogr., 28, 1786-1802
    DOI: 10.1175/1520-0485(1998)028<1786:MDOCLE>2.0.CO;2
  • Hartmann, J., C. Kottmeier and S. Raasch (1997): Roll vortices and boundary-layer development during a cold air outbreakBoundary-Layer Meteorol., 84, 45-65
    DOI: 10.1023/A:1000392931768