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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.
Please browse the AMS special collection “W2W” to read W2W articles published in AMS journals.

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., Early Online Release. (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)
  • Baumgart, M., M. Riemer, V. Wirth, F. Teubler, S. T. K. Lang: Potential-vorticity dynamics of forecast errors: A quantitative case study, Mon. Wea. Rev., early online, DOI:10.1175/MWR-D-17-0196.1. (Link to online article)
  • Craig, G. C., and T. Selz: Mesoscale dynamical regimes in the midlatitudes, Geophys. Res. Lett., 45, 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.R. 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)
  • 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. (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)
  • 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, doi: 10.1109/TVCG.2017.2745178. (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. R. Meteorol. Soc. Accepted Author Manuscript. 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)
  • Rasp, S., Lerch, S.: Neural networks for post-processing ensemble weather forecasts. (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)
  • Ruckstuhl, Y. and Janjić, T.: Parameter and state estimation with ensemble Kalman filter based algorithms for convective scale applications. Q.J.R. Meteorol. Soc.. Accepted Author Manuscript. doi:10.1002/qj.3257 (Link to online article)
  • Schäfler, A. et al.: The North Atlantic Waveguide and Downstream Impact Experiment. B.A.M.S., 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. Roy. Meteorol. Soc., doi:10.1002/qj.3250 (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)
  • Wirth, V., M. Riemer, E. K. M. Chang, O. Martius: Rossby Wave Packets on the Midlatitude Waveguide - A Review, Mon. Wea. Rev., doi:10.1175/MWR-D-16-0483.1, in press. (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)

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. R. 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 on the mesoscales: Idealized numerical simulations. QJRMS, 144, 682-694, doi: 10.1002/qj.3236. (Link to online article)
  • Bierdel, L., T. Selz, and G. C. Craig: Theoretical aspects of upscale error growth through the mesoscales: an analytical model. QJRMS, 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: http://dx.doi.org/10.1016/j.jcp.2017.01.020.
  • Chertock, A., M. Dudzinski, A. Kurganov, and M. Lukacova-Medvidova: Well-Balanced Schemes for the Shallow Water Equations with Coriolis Forces, Numerische Mathematik, DOI:10.1007/s00211-017-0928-0. (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, doi: 10.1175/JHM-D-16-0218.1. (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., 1-28. (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, SIAM Multiscale Modeling and Simulation, accepted. (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.R. Meteorol. Soc. 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.R. Meteorol. Soc.. Accepted Author Manuscript. doi:10.1002/qj.3130 (Link to online article)
  • 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., 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)
  • 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. (Link to the 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, doi: 10.1109/TVCG.2017.2745178. (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, pp. 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., 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. DOI: 10.1175/JAS-D-17-0258.1 (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: http://dx.doi.org/10.1175/JAS-D-16-0160.1.
  • 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.
  • 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. Wea. Rev., doi:10.1175/MWR-D-16-0355.1, in press. (Link to online article)
  • Zheng, Y., T. Janjic, Y. Ruckstuhl, and M. Verlaan: Ensemble-Type Kalman Filter Algorithm conserving Mass, Total Energy and Enstrophy, Q.J.R. Meteorol. Soc.. Accepted Author Manuscript. doi:10.1002/qj.3142 (Link to online article)

 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)
  • 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)
  • Rasp, S., T. Selz, and G.C. Craig: Convective and slantwise trajectory ascent in convection-permitting simulations of mid-latitude cyclones. Month. Wea. Rev., 144, 3961-3976, DOI: http://dx.doi.org/10.1175/MWR-D-16-0112.1
  • 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, doi:10.1109/TVCG.2016.2599018.
  • 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)