Waves to Weather
print


Breadcrumb Navigation


Content

Publications

  • Peer-reviewed articles and PhD theses published within the framework of W2W are listed below.
  • Peer-reviewed articles by W2W researchers published before W2W started (i.e. before July 1st, 2015) that are relevant to W2W are listed in "Previous publications" below.
  • Peer-reviewed articles by W2W researchers published during W2W that are relevant to W2W but that are not within the framework of W2W are listed in "Other publications" below.
--> Browse the AMS special collection "W2W" to read W2W articles published in AMS journals.
--> Browse the Special Online Collection "W2W" in QJRMS to read W2W articles published in the Quarterly Journal of the Royal Meteorological Society.

2019

  • Barrett, A., C. Wellmann, A. Seifert, C. Hoose, B. Vogel, and M. Kunz: One Step at a Time: How Model Time Step Significantly Affects Convection‐Permitting Simulations, J. Adv. Model. Earth Sy., 11(3), 641-658, doi: 10.1029/2018MS001418. (Link to online article)
  • Baumgart, M. A. and M. Riemer: Processes governing the amplification of ensemble spread in a medium-range forecast with large forecast uncertainty, Q. J. Royal Meteorol. Soc., in press, doi:10.1002/qj.3617. (Link to online article)
  • Baumgart, M., P. GhinassiV. Wirth, T. Selz, G. C. Craig, and M. Riemer: Quantitative view on the processes governing the upscale error growth up to the planetary scale using a stochastic convection scheme, Mon. Weather Rev., 147, 1713-1731, doi:10.1175/MWR-D-18-0292.1. (Link to online article)
  • Baumgartner, M. and P. Spichtinger: Homogeneous nucleation frm an asymptotic point of view, Theor. Comput. Fluid Dyn., 33, 83-106, doi:10.1007/s00162-019-00484-0. (Link to online article)
  • Crnivec, N., and B. Mayer: Quantifying the bias of radiative heating rates in numerical weather prediction models for shallow cumulus clouds, Atmos. Chem. Phys., 19, 8083-8100, doi: 10.5194/acp-19-8083-2019. (Link to online article)
  • Di Muzio, E., M. Riemer, A. H. Fink, and M. Maier-Gerber: Assessing the predictability of Medicanes in ECMWF ensemble forecasts using an object‐based approach, Q. J. Royal Meteorol. Soc., 145, 1202-1217, doi:10.1002/qj.3489. (Link to online article)
  • Euler, C., M. Riemer, T. Kremer, and E. Schömer: Lagrangian Description of Air Masses Associated with Latent Heat Release in Tropical Storm Karl (2016) during Extratropical Transition, Mon. Weather Rev., 147, 2657-2676, doi:10.1175/MWR-D-18-0422.1. (Link to online article)
  • Keil, C., Baur, F., Bachmann, K., Rasp, S., Schneider, L., and Barthlott, C.: Relative contribution of soil moisture, boundary layer and microphysical perturbations on convective predictability in different weather regimes, Q. J. Royal Meteorol. Soc., Accepted Author Manuscript, doi:10.1002/qj.3607. (Link to online article)
  • Keller, J. H., C. M. Grams, M. Riemer, H. M. Archambault, L. Bosart, J. D. Doyle, J. L. Evans, T. J. Galarneau, K. Griffin, P. A. Harr, N. Kitabatake, R. McTaggart-Cowan, F. Pantillon, J. F. Quinting, C. A. Reynolds, E. A. Ritchie, R. D. Torn, and F. F. Zhang: The Extratropical Transition of Tropical Cyclones Part II: Interaction with the midlatitude flow, downstream impacts, and implications for predictability, Mon. Weather Rev., 147, 1077-1106, doi: 10.1175/MWR-D-17-0329.1. (Link to online article)
  • Kumpf, A., M. Rautenhaus, M. Riemer, and R. Westermann: Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities, IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/tvcg.2018.2864901. (Link to online article)
  • Maier-Gerber, M., Riemer, M., Fink, A. H., Knippertz P., Di Muzio E., McTaggart-Cowan R.: Tropical Transition of Hurricane Chris (2012) over the North Atlantic Ocean: A Multi-Scale Investigation of Predictability, Mon. Weather Rev., doi:10.1175/MWR-D-18-0188.1, in press. (Link to online article)
  • Pinto J.G., Pantillon F., Ludwig P., Déroche M.S., Leoncini G., Raible C.C., Shaffrey L.C., Stephenson D.B.: From Atmospheric Dynamics to Insurance Losses – an Interdisciplinary Workshop on European Windstorms, Bull. Amer. Meteorol. Soc., doi:10.1175/ BAMS-D-19-0026.1 (Link to online article)
  • Selz, T., L. Bierdel, and G. C. Craig: Estimation of the variability of mesoscale energy spectra with three years of COSMO-DE analyses, J. Atmos. Sci., doi: 10.1175/JAS-D-18-0155.1. (Link to online article)
  • Schlüter, A., A. H. Fink, P. Knippertz, and P. Vogel: A systematic comparison of tropical waves over northern Africa. Part I: Influence on rainfall, J. Clim., 32, 1501-1523, doi: 10.1175/JCLI-D-18-0173.1. (Link to online article)
  • Schlüter, A., A. H. Fink, and P. Knippertz: A systematic comparison of tropical waves over northern Africa. Part II: Dynamics and thermodynamics, J. Clim., 32, 2605–2625, doi: 10.1175/JCLI-D-18-0651.1. (Link to online article)
  • Schultz, D.M., L.F. Bosart, B.A. Colle, H.C. Davies, C. Dearden, D. Keyser, O. Martius, P.J. Roeber, W.J. Steenburgh, H. Volkert, and A.C. Winters: Extratropical Cyclones: A century of research on meteorology's centerpiece, Chapter 16 in G. McFarquhar et al.: A century of progress in atmospheric and related sciences: celebrating the American Meteorological Society centennial, Meteorol. Monographs, 59, pp. 16.1-16.56, doi: 10.11752/AMSMONOGRAPHS-D-18-0015.1. (Link to online article)
  • Zeifang, J., J. Schütz, K. Kaiser, A. Beck, M. Lukacova-Medvidova, and S. Noelle: A novel full-Euler low Mach number IMEX splitting, accepted in Communications of Computational Physics
  • Zschenderlein, P. , Fink, A. H., Pfahl, S. and Wernli, H.: Processes determining heat waves across different European climates, Q. J. Royal Meteorol. Soc., Accepted Author Manuscript, doi:10.1002/qj.3599. (Link to online article)

PhD theses - 2019

  • Rasp, S.: Statistical methods and machine learning in weather and climate modeling. Ludwig-Maximilians-Universität. (Link to online document)
  • Ruckstuhl, Y.: Joint state and parameter estimation to address model error in convective scale numerical weather prediction systems. (Link to online document)
  • Vogel, P.: Assessing Predictive Performance: From Precipitation Forecasts over the Tropics to Receiver Operating Characteristic Curves and Back. Karlsruhe Institute of Technology. (Link to online document)
  • Wellmann, C.: Using Statistical Emulation for Sensitivity Studies of Deep Convective Clouds. Karlsruhe Institute of Technology. (Link to online document)

2018

  • Arnault, J., T. Rummler, F. Baur, S. Lerch, S. Wagner, B. Fersch, Z. Zhang, N. Kerandi, C. Keil, and H. Kunstmann: Precipitation sensitivity to the uncertainty of terrestrial water flow in WRF-Hydro – An ensemble analysis for Central Europe, J. Hydrometeorol., 19, 1007-1025, doi: 10.1175/jhm-d-17-0042.1. (Link to online article)
  • Bachmann K., C. Keil, and M. Weissmann: Impact of Radar Data Assimilation and Orography on Predictability of Deep Convection, Q. J. Royal Meteorol. Soc., doi: 10.1002/qj.3412. (Link to online article)
  • Baran, S., and S. Lerch: Combining predictive distributions for the statistical post-processing of ensemble forecasts, Int. J. Forecast., 34, 477-496, doi: 10.1016/j.ijforecast.2018.01.005. (Link to online article)
  • Barthlott, C. and C. Hoose: Aerosol effects on clouds and precipitation over central Europe in different weather regimes, J. Atmos. Sci., doi: 10.1175/jas-d-18-0110.1. (Link to online article)
  • Baumgart, M., M. Riemer, V. Wirth, F. Teubler, S. T. K. Lang: Potential-vorticity dynamics of forecast errors: A quantitative case study, Mon. Weather Rev., 146, 1405-1425, doi:10.1175/MWR-D-17-0196.1. (Link to online article)
  • Baur, F. , C. Keil, and G. C. Craig: Soil Moisture - Precipitation Coupling over Central Europe: Interactions between surface anomalies at different scales and its dynamical implication, Q. J. Royal Meteorol. Soc., doi: 10.1002/qj.3415. (Link to online article)
  • Bierdel, L., T. Selz, and G. C. Craig: Theoretical aspects of upscale error growth on the mesoscales: Idealized numerical simulations, Q. J. Royal Meteorol. Soc., 144, 682-694, doi: 10.1002/qj.3236. (Link to online article)
  • Chertock, A., M. Dudzinski, A. Kurganov, and M. Lukáčová-Medvid’ová: Well-balanced schemes for the shallow water equations with Coriolis forces, Num. Math., 939–973, doi: 10.1007/s00211-017-0928-0. (Link to online article)
  • Craig, G. C., and T. Selz: Mesoscale dynamical regimes in the midlatitudes, Geophys. Res. Lett., 45, 410-417, doi:10.1002/2017GL076174. (Link to online article)
  • Fragkoulidis, G., Wirth, V., Bossmann, P. and Fink, A.H.: Linking Northern Hemisphere temperature extremes to Rossby wave packets, Q. J. Royal Meteorol. Soc., 144, 553-566, doi:10.1002/qj.3228. (Link to online article)
  • Gentine, P., M. Pritchard, S. Rasp, G. Reinaudi and G. Yacalis, 2018: Could machine learning break the convection parameterization deadlock?, Geophys. Res. Lett.45, 5742-5751, doi: 10.1029/2018gl078202. (Link to online article)
  • Ghinassi, P., G. Fragkoulidis, and V. Wirth: Local Finite Amplitude Wave Activity as a diagnostic for Rossby wave packets, Mon. Weather Rev., doi:10.1175/MWR-D-18-0068.1. (Link to online article)
  • Hanser, K., O. Klein, B. Rieck, B. Wiebe, T. Selz, M. Piatkowski, A. Sagrista, B. Zheng, M. Lukacova, G. Craig, H. Leitte, and F. Sadlo: Visualization of Parameter Sensitivity of 2D Time-Dependent Flow. In Lecture notes in computer science: advances in visual computing (proceedings of international symposium on visual computing). Springer Berlin Heidelberg, 359-370, doi: 10.1007/978-3-030-03801-4_32. (Link to online article)
  • Jordan, A., F. Krüger, and S. Lerch: Evaluating probabilistic forecasts with scoring Rules, J. Stat. Softw., 86, accepted. (Link to online preprint)
  • Kerandi, N., J. Arnault, P. Laux, S. Wagner, J. Kitheka, and H. Kunstmann: Joint atmospheric-terrestrial water balances for East Africa: A WRF-Hydro case study for the upper Tana River basin, Theor. Appl. Climatol., 131, 1337–1355, doi:10.1007/s00704-017-2050-8. (Link to online article)
  • Kern, M., T. Hewson, F. Sadlo, R. Westermann and M. Rautenhaus: Robust detection and visualization of jet-stream core lines in atmospheric flow, IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2743989. (Link to online article)
  • Kern M., T. Hewson, A. Schäfler, R. Westermann, and M. Rautenhaus: Interactive 3D Visual Analysis of Atmospheric Fronts, IEEE Transactions on Visualization and Computer Graphics, doi:10.1109/tvcg.2018.2864806. (Link to online article)
  • Knippertz, P., F. Pantillon, and A.H. Fink: The devil in the details of storms, Environ. Res. Lett., 13, 051001, doi: 10.1088/1748-9326/aabd3e. (Link to online article)
  • Kumpf, A., B. Tost, M. Baumgart, M. Riemer, R. Westermann, and M. Rautenhaus: Visualizing confidence in cluster-based ensemble weather forecast analyses, IEEE Transactions on Visualization and Computer Graphics, 24, 109-119, doi: 10.1109/TVCG.2017.2745178. (Link to online article)
  • Lentik, H.S., C.M. Grams, M. Riemer, and S. C. Jones: The effects of orography on the extratropical transition of tropical cyclones: a case study of typhoon Sinlaku (2008), Mon. Weather Rev., 146, 4231-4246, doi: 10.1175/MWR-D-18-0150.1. (Link to online article)
  • Pantillon, F., Lerch, S., Knippertz, P. and Corsmeier, U.: Forecasting wind gusts in winter storms using a calibrated convection‐permitting ensemble, Q. J. Royal Meteorol. Soc., 1-18, doi:10.1002/qj.3380. (Link to online article)
  • Pantillon, F., Wieser, A., Adler, B., Corsmeier, U., Knippertz, P.: Overview and first results of the Wind and Storms Experiment (WASTEX): a field campaign to observe the formation of gusts using a Doppler lidar, Adv. Sci. Res., 15, 91–97, doi:10.5194/asr-15-91-2018. (Link to online article)
  • Porz, N., M. Hanke, M. Baumgartner, and P. Spichtinger: A model for warm
    clouds with implicit droplet activation, avoiding saturation adjustment, Math. Clim. Weather Forecast., 4, 50-78, doi: 10.1515/mcwf-2018-0003. (Link to online article)
  • Rasp, S. and S. Lerch: Neural networks for post-processing ensemble weather forecasts, Mon. Weather Rev., doi: 10.1175/mwr-d-18-0187.1. (Link to online article)
  • Rasp, S., M. S. Pritchard, and P. Gentine: Deep learning to represent sub-grid processes in climate models. Proc. Natl. Acad. Sci., doi: 10.1073/pnas.1810286115. (Link to online article)
  • Rautenhaus, M., M. Böttinger, S. Siemen, R. Hoffman, R.M. Kirby, M. Mirzargar, N. Röber, and R. Westermann: Visualization in Meteorology - A Survey of Techniques and Tools for Data Analysis Tasks, IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2779501 (Link to online article
  • Riboldi, J., C. M. Grams, and M. Riemer, and H. M. Archambault: A phase-locking perspective on Rossby wave amplification and atmospheric blocking downstream of recurving western North Pacific tropical cyclones, Mon. Weather Rev., doi: 10.1175/MWR-D-18-0271.1. (Link to online article)
  • Rosemeier, J., M. Baumgartner, and P. Spichtinger: Intercomparison of Warm-Rain Bulk Microphysics Schemes using Asymptotics, Math. Clim. Weather Forecast., 4, 104-124, doi:10.1515/mcwf-2018-0005. (Link to online article)
  • Ruckstuhl, Y. and Janjić, T.: Parameter and state estimation with ensemble Kalman filter based algorithms for convective scale applications, Q. J. Royal Meteorol. Soc., 144, 826-841, doi:10.1002/qj.3257. (Link to online article)
  • Schäfler, A., G. Craig, H. Wernli, P. Arbogast, J.D. Doyle, R. McTaggart-Cowan, J. Methven, G. Rivière, F. Ament, M. Boettcher, M. Bramberger, Q. Cazenave, R. Cotton, S. Crewell, J. Delanoë, A. Dörnbrack, A. Ehrlich, F. Ewald, A. Fix, C.M. Grams, S.L. Gray, H. Grob, S. Groß, M. Hagen, B. Harvey, L. Hirsch, M. Jacob, T. Kölling, H. Konow, C. Lemmerz, O. Lux, L. Magnusson, B. Mayer, M. Mech, R. Moore, J. Pelon, J. Quinting, S. Rahm, M. Rapp, M. Rautenhaus, O. Reitebuch, C.A. Reynolds, H. Sodemann, T. Spengler, G. Vaughan, M. Wendisch, M. Wirth, B. Witschas, K. Wolf, and T. Zinner: The North Atlantic Waveguide and Downstream Impact Experiment, Bull. Amer. Meteor. Soc., 99, 1607-1637, doi: 10.1175/BAMS-D-17-0003.1. (Link to online article)
  • Schneider, L., C. Barthlott, A.I. Barrett, C. Hoose: The precipitation response to variable terrain forcing over low mountain ranges in different weather regimes, Q. J. Royal Meteorol. Soc., 144, 970-989, doi:10.1002/qj.3250. (Link to online article)
  • Selz, T.: Estimating the intrinsic limit of predictability using a stochastic convection scheme. J. Atmospheric Sci., doi: 10.1175/JAS-D-17-0373.1. (Link to online article
  • Taylor, C. M., A. H. Fink, D. J. Parker, C. Klein, F. Guichard, P. P. Harris, and K. R. Knapp: Earlier seasonal onset of intense Mesoscale Convective Systems in the Congo Basin since 1999, Geophys. Res. Lett., 45, doi: 10.1029/2018GL080516. (Link to online article)
  • van der Does, M., P. Knippertz, P. Zschenderlein, R. Giles Harrison, J.-B. W. Stuut: The mysterious long-range transport of giant mineral dust particles, Sci. Adv., 4, doi: 10.1126/sciadv.aau2768. (Link to online article)
  • Vogel, P., P. Knippertz, A. Fink, A. Schlueter, and T. Gneiting: Skill of Global Raw and Postprocessed Ensemble Predictions of Rainfall over Northern Tropical Africa, Wea. Forecasting., 33, 369-388, doi:10.1175/WAF-D-17-0127.1. (Link to online article)
  • Wellmann, C., A.I. Barrett, J.S Johnson, M. Kunz, B. Vogel, K.S Carslaw, and C. Hoose: Using emulators to understand the sensitivity of deep convective clouds and hail to environmental conditions, J. Adv. Model. Earth Syst., doi:10.1029/2018MS001465. (Link to online article)
  • Wirth, V., M. Riemer, E. K. M. Chang, O. Martius: Rossby Wave Packets on the Midlatitude Waveguide - A Review, Mon. Weather Rev., 146, 1965-2001, doi:10.1175/MWR-D-16-0483.1. (Link to online article)
  • Zeng, Y., Janjic, T., de Lozar, A., Blahak, U., Reich, H., Keil, C., and Seifert, A.: Representation of model error in convective-scale data assimilation: additive noise, relaxation methods and combinations, J. Adv. Model. Earth Syst. doi:10.1029/2018MS001375. (Link to online article)
  • Zschenderlein, P., G. Fragkoulidis, A. H. Fink, and V. Wirth: Large-scale Rossby wave and synoptic-scale dynamic analyses of the unusually late 2016 heat wave over Europe. Weather, 73(9), 275-283, doi: 10.1002/wea.3278. (Link to online article)

PhD theses - 2018

  • Schneider, L.: Relative Impact of Surface and Aerosol Heterogeneities on Deep Convection. Karlsruhe Institute of Technologie. (Link to online document)

2017

  • Barthlott, C., B. Mühr, and C. Hoose: Sensitivity of the 2014 Pentecost storms over Germany to different model grids and microphysics schemes, Q. J. Royal Meteorol. Soc., 143, 1485-1503, doi:10.1002/qj.3019. (Link to online article)
  • Bierdel, L., T. Selz, and G. C. Craig: Theoretical aspects of upscale error growth through the mesoscales: an analytical model, Q. J. Royal Meteorol. Soc., 143, 3048-3059, doi: 10.1002/qj.3160. (Link to online article)
  • Bispen, G., M. Lukacova-Medvidova, L. Yelash: Asymptotic preserving IMEX finite volume schemes for low Mach number Euler equations with gravitation. J. Comp. Phys., 335, 222-248, doi: 10.1016/j.jcp.2017.01.020. (Link to online article)
  • Engel, T., A.H. Fink, P. Knippertz, G. Pante, and Jan Bliefernicht: Extreme precipitation in the West African cities of Dakar and Ouagadougou – atmospheric dynamics and implications for flood risk assessments, J. Hydromet, 18, 2937-2957, doi: 10.1175/JHM-D-16-0218.1. (Link to online article)
  • Evans, C., K. M. Wood, S. D. Aberson, H. M. Archambault, S. M. Milrad, L. F. Bosart, K. L. Corbosiero, C. A. Davis, J. R. D. Pinto, J. Doyle, C. Fogarty, T. J. Galarneau, C. M. Grams, K. S. Griffin, J. Gyakum, R. E. Hart, N. Kitabatake, H. S. Lentink, R. McTaggart- Cowan, W. Perrie, J. F. D. Quinting, C. A. Reynolds, M. Riemer, E. A. Ritchie, Y. Sun, and F. Zhang: The extratropical transition of tropical cyclones. Part I: Cyclone evolution and direct impacts, Mon. Weather Rev., 145, 4317-4344, doi: 10. 1175/MWR-D-17-0027.1. (Link to online article)
  • Feireisl, E., and M. Lukacova-Medvidova: Convergence of a mixed finite element finite volume scheme for the isentropic Navier-Stokes system via dissipative measure-valued solutions, Found. Comput. Math., 18(3), 703-730. (Link to online article)
  • Feireisl, E., M. Lukacova-Medvidova, S. Necasova, A. Novotny, and B. She: Asymptotic preserving error estimates for numerical solutions of compressible Navier-Stokes equations in the low Mach number regime, Multiscale Model. Simul., 16(1), 150-183, doi:10.1137/16M1094233. (Link to online article)
  • Gustafsson, N., Janjic, T., Schraff, C., Leuenberger, D., Weissman, M., Reich, H., Brousseau, P., Montmerle, T., Wattrelot, E., Bučánek, A., Mile, M., Hamdi, R., Lindskog, M., Barkmeijer, J., Dahlbom, M., Macpherson, B., Ballard, S., Inverarity, G., Carley, J., Alexander, C., Dowell, D., Liu, S., Ikuta, Y. and Fujita, T.: Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres, Q. J. Royal Meteorol. Soc., 144, 1218-1256, doi:10.1002/qj.3179. (Link to online article)
  • Janjić, T., Bormann, N., Bocquet, M., Carton, J. A., Cohn, S. E., Dance, S. L., Losa, S. N., Nichols, N. K., Potthast, R., Waller, J. A. and Weston, P.: On the representation error in data assimilation, Q. J. Royal Meteorol. Soc., 144, 1257-1278, doi:10.1002/qj.3130. (Link to online article)
  • Jung, P., Hausner, P., Pilz, L., Stern, J., Euler, C., Riemer, M., and Sadlo, F.: Tumble-vortex core line extraction. In Proceedings of sibgrapi wvis. (Link to online article)
  • Klinger, C., B. Mayer, F. Jakub, T. Zinner, S.-B. Park, and P. Gentine: Effects of 3-D thermal radiation on the development of a shallow cumulus cloud field, Atmos. Chem. Phys., 17, 5477-5500, doi: 10.5194/acp-17-5477-2017. (Link to online article)
  • Knippertz P., A.H. Fink, A. Deroubaix, E. Morris, F. Tocquer, M.J. Evans, C. Flamant, M. Gaetani, C. Lavaysse, C. Mari, J.H. Marsham, R. Meynadier, A. Affo-Dogo, T. Bahaga, F. Brosse, K. Deetz, R. Guebsi, I. Latifou, M. Maranan, P.D. Rosenberg, and A. Schlüter: A meteorological and chemical overview of the DACCIWA field campaign in West Africa in June–July 2016, Atmos. Chem. Phys., 17, 10893-10918, doi: 10.5194/acp-17-10893-2017. (Link to online article)
  • Lange, H., G.C. Craig, G. C., and T. Janjić: Characterizing noise and spurious convection in convective data assimilation, Q. J. Royal Meteorol. Soc., 143(709), 3060–3069, doi:10.1002/qj.3162. (Link to online article)
  • Lerch, S., and S. Baran: Similarity-based semilocal estimation of post-processing models, J. Roy. Statist. Soc., Ser. C (Applied Statistics), 66(1), 29-51, doi: 10.1111/rssc.12153. (Link to online article)
  • Lukacova-Medvidova, M., J. Rosemeier, P. Spichtinger, and B. Wiebe: IMEX finite volume methods for cloud simulation, in: Clement Cances, Pascal Omnes (eds.) Finite Volumes for Complex Applications VIII - Hyperbolic, Elliptic and Parabolic Problems, 179-187. (Link to online chapter)
  • Maier-Gerber, M., F. Pantillon, E. di Muzio, M. Riemer, A. H. Fink, and P. Knippertz: Birth of the Biscane, Weather, 72 (8), 236-241, doi:10.1002/wea.2995. (Link to the online article)
  • Pantillon, F., P. Knippertz, and U. Corsmeier: Revisiting the synoptic-scale predictability of severe European winter storms using ECMWF ensemble reforecasts, Nat. Hazards Earth Syst. Sci., 17, 1795-1810, doi:10.5194/nhess-2017-122. (Link to online article)
  • Rasp, S., Selz, T., and Craig, G.C.: Variability and clustering of mid-latitude summertime convection: Testing the Craig and Cohen (2006) theory in a convection-permitting ensemble with stochastic boundary layer perturbations, J. Atmos. Sci., 75, 691-706, doi: 10.1175/JAS-D-17-0258.1. (Link to online article)
  • Sagrista, A., S. Jordan, A. Just, F. Dias, L.G. Nonato, and F. Sadlo: Topological Analysis of Inertial Dynamics, IEEE Transactions on Visualization & Computer Graphics, 950-959, doi:10.1109/TVCG.2016.2599018. (Link to online article)
  • Selz, T., L. Fischer, and G. C. Craig: Structure function analysis of water vapor simulated with a convection-permitting model and comparison to airborne lidar observations. J. Atmos. Sci., 74, 1201-1210, doi: 10.1175/JAS-D-16-0160.1. (Link to online article)
  • Spreitzer, E.J., Marschalik, M.P., and Spichtinger, P.: Subvisible cirrus clouds – a dynamical system approach. Nonlin. Processes Geophys., 24, 307-328, doi:10.5194/npg-24-307-2017. (Link to online article)
  • van der Linden, R., A. Fink, J. Pinto, and T. Phan-Van: The Dynamics of an Extreme Precipitation Event in Northeastern Vietnam in 2015 and its Predictability in the ECMWF Ensemble Prediction System, Wea. Forecasting, 32, 1041-1056, doi: 10.1175/WAF-D-16-0142.1. (Link to online article)
  • Volkert, H.: Putting faces to names: Snapshots of two committee meetings, 95 years apart, emphasize continuous international cooperation in the atmospheric sciences, Adv. Atmos. Sci., 34, 571-576, doi:10.1007/s00376-017-6329-6. (Link to online article)
  • Wolf, G., and V. Wirth: Diagnosing the horizontal propagation of Rossby wave packets along the midlatitude waveguide, Mon. Weather Rev., doi:10.1175/MWR-D-16-0355.1, 145, 3247-3264. (Link to online article)
  • Zeng, Y., T. Janjic, Y. Ruckstuhl, and M. Verlaan: Ensemble-Type Kalman Filter Algorithm conserving Mass, Total Energy and Enstrophy, Q. J. Royal Meteorol. Soc., 143(708), 2902-2914, doi: 10.1002/qj.3142. (Link to online article)

PhD theses - 2017

  • Bierdel, L.: On the relevance of rotational and divergent modes of motion to mesoscale dynamics and upscale error growth. Ludwig-Maximilians-Universität. (Link to online document)

2016

  • Kober, K., and G. C. Craig: Physically-based stochastic perturbations (PSP) in the boundary layer to represent uncertainty in convective initiation, J. Atmos. Sci., 73, 2893-2911, doi:10.1175/JAS-D-15-0144.1. (Link to online article)
  • Rasp, S., T. Selz, and G.C. Craig: Convective and slantwise trajectory ascent in convection-permitting simulations of mid-latitude cyclones, Mon. Weather Rev., 144, 3961-3976, doi: 10.1175/MWR-D-16-0112.1. (Link to online article)
  • Volkert, H.: Aerological data spurred dynamical meteorology: Richard Scherhag's contribution of 1934 as an early milestone, Meteorol. Z., 25, 521-526, doi: 10.1127/metz/2016/0784. (Link to online article)

PhD theses - 2016

  • Lerch, S.: Probabilistic forecasting and comparative model assessment, with focus on extreme events. Karlsruhe Institute of Technology. (Link to online document)