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Previous publications

Peer-reviewed articles published before W2W started (i.e. before July 1st 2015) that are relevant to the collaborative research center are listed here.

     2015

  • Barthlott, C., and Hoose, C.: Spatial and temporal variability of clouds and precipitation over Germany: multiscale simulations across the "gray zone". Atmos. Chem. Phys., 15, 12361-12384, doi:10.5194/acp-15-12361-2015. (Link to online article)
  • Ehmele, F., C. Barthlott, and U. Corsmeier: The influence of Sardinia on Corsican rainfall in the western Mediterranean Sea: A numerical sensitivity study. Atmos. Res., 153, 451-464. (PDF)
  • Kober, K., A. M. Foerster, and G. C. Craig: Examination of a Stochastic and Deterministic Convection Parameterization in the COSMO Model. Mon. Wea. Rev., 143, 4088-4103, doi: 10.1175/MWR-D-15-0012.1. (Link to online article)
  • Rautenhaus, M., Kern, M., Schäfler, A., and Westermann, R.: Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0). Geosci. Model Dev., 8, 2329-2353, doi:10.5194/gmd-8-2329-2015. (Link to online article)
  • Rautenhaus, M., Grams, C. M., Schäfler, A., and Westermann, R.: Three-dimensional visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns. Geosci. Model Dev., 8, 2355-2377, doi:10.5194/gmd-8-2355-2015. (Link to online article)
  • Selz, T. and G. C. Craig: Upscale Error Growth in a High-Resolution Simulation of a Summertime Weather Event over Europe. Mon. Wea. Rev., 143, 813-827. (PDF)
  • Selz, T., and G.C. Craig: Simulation of upscale error growth with a stochastic convection scheme. Geophys. Res. Lett., 42, 3056–3062, doi: 10.1002/2015GL063525.
  • Trezeciak, T. M., P. Knippertz, J. S. R. Pieert, and K. D. Williams: Can we trust climate models to realistically represent severe European windstorms? Clim. Dyn., doi:10.1007/s00382-015-2777-9. (PDF)
  • Wolf, G., and V. Wirth: Implications of the semigeostrophic nature of Rossby waves for Rossby wave packet detection. Mon. Wea. Rev., 143, 26-38. (PDF)

  • 2014

  • Janjic, T., D. McLaughlin, S. E. Cohn, and M. Verlaan: Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms. Mon. Wea. Rev., 142, 755-773. (PDF)
  • Keil, C., F. Heinlein, and G. C. Craig: The convective adjustment time-scale as indicator of predictability of convective precipitation. Q. J. R. Meteorol. Soc., 140, 480-490. (PDF)
  • Kostka, P. M., M. Weissmann, R. Buras, B. Mayer, and O. Stiller: Observation Operator for Visible and Near-Infrared Satellite Reflectances. J. Atmos. Oceanic Technol., 31, 1216–1233. (PDF)
  • Kühnlein, C., C. Keil, G. C. Craig, and C. Gebhardt: The impact of downscaled initial condition perturbations on convective-scale ensemble forecasts of precipitation. Q. J. R. Meteorol. Soc., 140, 1552-1562. (PDF)
  • Wirth, V., and J. Eichhorn: Long-lived Rossby wave trains as precursors to strong winter cyclones over Europe. Quart. J. Roy. Met. Soc., 140, 729-737. (PDF)

    2013

  • Barthlott, C. and D. Kirshbaum: Sensitivity of deep convection to terrain forcing over Mediterranean islands, Q. J. R. Meteorol. Soc., 139, 1762-1779, DOI:10.1002/qj.2089
  • Kober, K., G. C. Craig, and C. Keil: Aspects of short-term probabilistic blending in different weather
    regimes. Q. J. Roy. Meteor. Soc., 140, 1179-1188, doi:10.1002/qj.2220. (Link to online article)

    2012

  • Hoose, C. and O. Möhler: Heterogeneous ice nucleation on atmospheric aerosols: A review of results from laboratory experiments. Atmos. Chem. Phys., 12, 9817-9854, doi:10.5194/acp-12-9817-2012. (Link to online article)
  • Schmidt K., M. Hagen, H. Höller, E. Richard and H. Volkert: Detailed flow, hydrometeor and lightning characteristics of an isolated thunderstorm during COPS. Atmos. Chem. Phys., 12, 6679-6698, doi:10.5194/acp-12-6679-2012. (Link to online article)

    2011

  • Barthlott, C. and N. Kalthoff: A numerical sensitivity study on the impact of soil moisture on convection-related parameters and convective precipitation over complex terrain. J. Atmos. Sci., 68, 2971-2987, DOI:10.1175/JAS-D-11-027.1
  • Corsmeier, U., N. Kalthoff, C. Barthlott, F. Aoshima, A. Behrendt, P. Di Girolamo, M. Dorninger, J. Handwerker, C. Kottmeier, H. Mahlke, S. D. Mobbs, E. G. Norton, J. Wickert, and V. Wulfmeyer: Processes driving deep convection over complex terrain: a multi-scale analysis of observations from COPS IOP 9c. Q. J. R. Meteorol. Soc., 137, 137-155. (PDF)
  • Keil, C., and G. C. Craig: Regime-dependent forecast uncertainty of convective precipitation. Meteorol. Z., 20, 145-151. (PDF)
  • Zimmer, M., G. C. Craig, C. Keil, and H. Wernli: Classification of precipitation events with a convective response timescale and their forecasting characteristics. Geophys. Res. Lett., 38, doi: 10.1029/2010GL046199. (PDF)

    2010

  • Hoose, C., J. E. Kristjánsson, J.-P. Chen and A. Hazra: A classical-theory-based parameterization of heterogeneous ice nucleation by mineral dust, soot and biological particles in a global climate model. J. Atmos. Sci., 67(8), 2483–2503. (Link to online article)

    2009

  • Knippertz, P., and A. H. Fink: Prediction of Dry-Season Precipitation in Tropical West Africa and Its Relation to Forcing from the Extratropics. Wea. Forecasting, 24, 1064-1084. (PDF)

    2008

  • Tafferner A., C. Forster, M. Hagen, C. Keil, T. Zinner and H. Volkert: Development and propagation of severe thunderstorms in the Upper Danube catchment area: Towards an integrated nowcasting and forecasting system using real-time data and high-resolution simulations. Meteorol. Atmos. Phys., 101, 211-227, doi: 10.1007/s00703-008-0322-7. (Link to online article)

    2007

  • Gneiting, T., F. Balabdaoui, and A. E. Raftery: Probabilistic forecasts, calibration and sharpness. J. R. Stat. Soc. Ser. B Stat. Methodol., 69, 243-268, doi:10.1111/j.1467-9868.2007.00587.x
  • Gneiting, T., and A.E. Raftery: Strictly Proper Scoring Rules, Prediction, and Estimation. J. Amer. Statist. Assoc., 102, 359-378, doi:10.1198/016214506000001437.

     2005

  • Gneiting, T., A. E. Raftery, A. H. Westveld III, and T. Goldman: Calibrated Probabilistic Forecasting Using Ensemble Model Outputs Statistics and Minimum CRPS Estimation. Mon. Wea. Rev., 133, 1098-1118. (PDF)
  • Raftery, A. E., T. Gneiting, F. Balabdaoui, and M. Polakowski: Using Bayesian Model Averaging to Calibrate Forecast Ensembles. Mon. Wea. Rev., 133, 1155-1174. (PDF)

    1997

  • M. Hanke: A regularizing Levenberg-Marquardt scheme, with applications to inverse groundwater filtration problems. Inverse Problems, 13, 79-95. (PDF)