NAWDEX-related publications

2024:


• Krüger, K., A. Schäfler, M. Weissmann, G. C. Craig, 2024: Influence of radiosonde observations on the sharpness and altitude of the midlatitude tropopause in the ECMWF IFS. Weather Clim. Dynam., 5, 491-509, doi: 10.5194/wcd-5-491-2024.
  
  2023:
  
  
• Beckert, A. A., L. Eisenstein, A. Oertel, T. Hewson, G. C. Craig, M. Rautenhaus, 2023: The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models. Geosci. Model Dev., 16, 4427-4450, doi: 10.5194/gmd-16-4427-2023.



• Mazoyer, M., D. Ricard, G. Rivière, J. Delaaoë, S. Riette, C. Augros, M. Borderies, B. Vié, 2023: Impact of Mixed-Phase Cloud Parameterization on Warm Conveyor Beltsand Upper-Tropospheric Dynamics. Mon. Wea. Rev., 151, 1073-1091, doi: 10.1175/MWR-D-22-0045.1.



• Neuhauser, C., M. Hieronymus, M. Kern, M. Rautenhaus, A. Oertel, R. Westermann, 2023: Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1). Geosci. Model Dev., 16, 4617-4638, doi: 10.5194/gmd-16-4617-2023.



• Oertel, A., A. K. Miltenberger, C. M. Grams, C. Hoose, 2023: Interaction of microphysics and dynamics in a warm conveyor belt simulated with the ICOsahedral Nonhydrostatic (ICON) model. Atmos. Chem. Phys., 23, 8553-8581, doi: 10.5194/acp-23-8553-2023.


2022:


• Choudhary, A., A. Voigt, 2022: Impact of grid spacing, convective parameterization and cloud microphysics in ICON simulations of a warm conveyor belt. Weather Clim. Dynam., 3, 1199-1214, doi: 10.5194/wcd-3-1199-2022.



• Krüger, K., A. Schäfler, M. Wirth, M. Weissmann, G. C. Craig, 2022: Vertical structure of the lower-stratospheric moist bias in the ERA5 reanalysis and its connection to mixing processes. Atmos. Chem. Phys., 22, 15559-15577, doi: 10.5194/acp-22-15559-2022.



• Wimmer, M., G. Rivière, P. Arbogast, J.-M. Piriou, J. Delanoë, C. Labadie, Q. Cazenave, J. Pelon, 2022: Diabatic processes modulating the vertical structure of the jetstream above the cold front of an extratropical cyclone: sensitivity to deep convection schemes. Weather Clim. Dynam., 3, 863-882, doi: 10.5194/wcd-3-863-2022.


2021:


• Binder, H., G. Rivière, P. Arbogast, K. Maynard, P. Bosser, B. Joly, and C. Labadie, 2021: Dynamics of forecast error growth along cut-off Sanchez and its consequence for the prediction of a high-impact weather event over southern France. Q. J. R. Meteorol. Soc., 147, 3263-3285, https://doi.org/10.1002/qj.4127.



• Blanchard, N., F. Pantillon, J.-P. Chaboureau, and J. Delanoë, 2021: Mid-level convection in a warm conveyor belt accelerates the jet stream. Weather Clim. Dynam., 2, 37-53, https://doi.org/10.5194/wcd-2-37-2021.



• Bland, J., S. Gray, J. Methven, J., R. and Forbes, 2021: Characterising extratropical near-tropopause analysis humidity biases and their radiative effects on temperature forecasts. Q. J. R. Meteorol. Soc., Accepted Author Manuscript. https://doi.org/10.1002/qj.4150.



• Bosser, P. and O. Bock, 2021: IWV retrieval from ground GNSS receivers during NAWDEX. Adv. Geosci., 55, 1322, https://doi.org/10.5194/adgeo-55-13-2021.



• Ewald, F., S. Groß, M. Wirth, J. Delanoë, S. Fox, and B. Mayer, 2021: Why we need radar, lidar, and solar radiance observations to constrain ice cloud microphysics. Atmos. Meas. Tech., 14, 5029-5047, https://doi.org/10.5194/amt-14-5029-2021, 2021.



• Flack, D. L. A., G. Rivière, I. Musat, R. Roehrig, S. Bony, J. Delanoë, Q. Cazenave, and J. Pelon, 2021: How Well do Models Represent the Development of Extra-Tropical Cyclones? Evaluation of Two General Circulation Models Against NAWDEX IOP 6 Observations. Weather Clim. Dynam., 2, 233-253, https://doi.org/10.5194/wcd-2-233-2021.



• Oertel, A., and S. Schemm, 2021: Quantifying the circulation induced by convective clouds in kilometer-scale simulations. Q. J. R. Meteorol. Soc., 1752-1766. https://doi.org/10.1002/qj.3992.



• Oertel, A., M. Sprenger, H. Joos, M. Boettcher, H. Konow, M. Hagen, and H. Wernli, 2021: Observations and simulations of intense convection embedded in a warm conveyor belt - how ambient vertical wind shear determines the dynamical impact. Weather Clim. Dynam., 2, 89-110, https://doi.org/10.5194/wcd-2-89-2021.



• Mazoyer, M., and Coauthors, 2021: Microphysics Impacts on the Warm Conveyor Belt and Ridge Building of the NAWDEX IOP6 Cyclone. Mon. Wea. Rev., 149, 3961-3980, doi: 10.1175/MWR-D-21-0061.1.



• Rivière, G., M. Wimmer, P. Arbogast, J.-M. Piriou, J. Delanoë, C. Labadie, Q. Cazenave, and J. Pelon, 2021: The impact of deep convection representation in a global atmospheric model on the warm conveyor belt and jet stream during NAWDEX IOP6. Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-38, in review.



• Saffin, L., J. Methven, J. Bland, B. Harvey, and C. Sanchez, 2021: Circulation conservation in the outflow of warm conveyor belts and consequences for Rossby wave evolution. Q. J. R. Meteorol. Soc., Accepted Author Manuscript., https://doi.org/10.1002/qj.4143.



• Witschas, B., C. Lemmerz, O. Lux, U. Marksteiner, O. Reitebuch, and A. Schäfler, 2021: Airborne temperature profiling in the troposphere during daytime by lidar utilizing Rayleigh-Brillouin scattering. Opt. Lett., 46, 4132-4135,https://doi.org/10.1364/OL.431350.


2020:


• Blanchard, N., F. Pantillon, J.-P, Chaboureau, and J. Delanoë, 2020: Organization of convective ascents in a warm conveyor belt. Weather Clim. Dynam., 1, 617-634, https://doi.org/10.5194/wcd-1-617-2020.



• Bramberger, M., A. Dörnbrack, H. Wilms, F. Ewald, and R. Sharman, 2020: Mountain-Wave Turbulence Encounter of the Research Aircraft HALO above Iceland. J. Appl. Meteor. Climatol., 59, 567-588, https://doi.org/10.1175/JAMC-D-19-0079.1.



• Harvey, B., J. Methven, C. Sanchez, and A. Schäfler, 2020: Diabatic generation of negative potential vorticity and its impact on the North Atlantic jet stream. Quart. J. Roy. Meteor. Soc., 146, 1477-1497, https://doi.org/10.1002/qj.3747.



• Kremer, T., E. Schömer, C. Euler, and M. Riemer, 2020: Cluster Analysis Tailored to Structure Change of Tropical Cyclones Using a Very Large Number of Trajectories. Mon. Wea. Rev., 148, 4209-4229, https://doi.org/10.1175/MWR-D-19-0408.1.



• Keil, C., L. Chabert, O. Nuissier, and L. Raynaud, 2020: Dependence of predictability of precipitation in the northwestern Mediterranean coastal region on the strength of synoptic control. Atmos. Chem. Phys., 20, 15851-15865, https://doi.org/10.5194/acp-20-15851-2020.



• Maddison, J. W., S. L.Gray, O. Martinez-Alvarado, and K. D. Williams, 2020: Impact of model upgrades on diabatic processes in extratropical cyclones and downstream forecast evolution. Quart. J. Roy. Meteor. Soc., 146, 1322-1350, https://doi.org/10.1002/qj.3739.



• Martinez-Alvarado, O., and C. Sánchez, 2020: Examining model error in potential temperature and potential vorticity weather forecasts at different lead times. Quart. J. Roy. Meteor. Soc., 146, 1264-1280, https://doi.org/10.1002/qj.3736.



• Mech, M., M. Maahn, S. Kneifel, D. Ori, E. Orlandi, P. Kollias, V. Schemann, and S. Crewell, 2020: PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geosci. Model Dev., 13, 4229-4251, https://doi.org/10.5194/gmd-13-4229-2020.



• Oertel, A., M. Boettcher, H. Joos, M. Sprenger, and H. Wernli, 2020: Potential vorticity structure of embedded convection in a warm conveyor belt and its relevance for large-scale dynamics. Weather Clim. Dynam., 1, 127-153, https://doi.org/10.5194/wcd-1-127-2020.



• Sánchez, C., J. Methven, S. Gray, M. Cullen, 2020: Linking rapid forecast error growth to diabatic processe.sQ. J. R. Meteorol. Soc., 146, 3548-3569, https://doi.org/10.1002/qj.3861.



• Schäfler, A., B. Harvey, J. Methven, J.D. Doyle, S. Rahm, O. Reitebuch, F. Weiler, and B. Witschas, 2030: Observation of jet stream winds during NAWDEX and characterization of systematic meteorological analysis errors. Mon. Wea. Rev., 148, 2889-2907, https://doi.org/10.1175/MWR-D-19-0229.1.



• Schäfler, A., F. Ewald, and M. Rautenhaus, 2020: Die Vermessung von Zyklonen. promet, 103, 25-32.



• Schindler, M., M. Weissmann, A. Schäfler, and G. Radnoti, 2020: The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016. Mon. Wea. Rev., 148, 809-824, https://doi.org/10.1175/MWR-D-19-0126.1.



• Steinfeld, D., M. Boettcher, R. Forbes, and S. Pfahl, 2020: The sensitivity of atmospheric blocking to upstream latent heating numerical experiments. Weather Clim. Dynam., 1, 405-426, https://doi.org/10.5194/wcd-1-405-2020.



• Wilms, H., M. Bramberger, and A. Dörnbrack, 2020: Observation and simulation of mountain wave turbulence above Iceland: Turbulence intensification due to wave interference. Q. J. R. Meteorol. Soc., 146, 3326-3346. https://doi.org/10.1002/qj.3848.



• Wolf, K., A. Ehrlich, M. Mech, R. J. Hogan, and M. Wendisch, 2020: Evaluation of ECMWF Radiation Scheme Using Aircraft Observations of Spectral Irradiance above Clouds. J. Atmos. Sci., 77, 2665-2685, https://doi.org/10.1175/JAS-D-19-0333.1.


2019:


• Baumgart, M., and M. Riemer, 2019: Processes governing the amplification of ensemble spread in a medium-range forecast with large forecast uncertainty. Quart. J. Roy. Meteor. Soc., 145, 3252-3270, https://doi.org/10.1002/qj.3617.



• Oertel, A., M. Boettcher, H. Joos, M. Sprenger, H. Konow, M. Hagen, and H. Wernli: 2019: Convective activity in an extratropical cyclone and its warm conveyor belt a case study combining observations and a convection-permitting model simulation. Quart. J. Roy. Meteor. Soc., 145, 1406-1426, doi:10.1002/qj.3500.



• Euler, C., M. Riemer, T. Kremer, and E. Schömer, 2019: Lagrangian Description of Air Masses Associated with Latent Heat Release in Tropical Storm Karl (2016) during Extratropical Transition. Mon. Wea. Rev., 147, 2657-2676, https://doi.org/10.1175/MWR-D-18-0422.1.



• Kölling, T., T. Zinner, and B. Mayer, 2019: Aircraft-based stereographic reconstruction of 3-D cloud geometry, Atmos. Meas. Tech., 12, 1155-1166, https://doi.org/10.5194/amt-12-1155-2019.



• Konow, H., M. Jacob, F. Ament, S. Crewell, F. Ewald, M. Hagen, L. Hirsch, F. Jansen, M. Mech, and B. Stevens, 2019: A unified data set of airborne cloud remote sensing using the HALO Microwave Package (HAMP). Earth Syst. Sci. Data, 11, 921-934, https://doi.org/10.5194/essd-11-921-2019.



• Maddison, J. W., S. L. Gray, O. Martinez-Alvarado, and K. D. Williams, 2019: Upstream Cyclone Influence on the Predictability of Block Onsets over the Euro-Atlantic Region. Mon. Wea. Rev., 147, 1277-1296, https://doi.org/10.1175/MWR-D-18-0226.1.



• Schumann, U., 2019: The Horizontal Spectrum of Vertical Velocities near the Tropopause from Global to Gravity Wave Scales. J. Atmos. Sci., 76, 3847-3862, https://doi.org/10.1175/JAS-D-19-0160.1.


2018:


• Kern, M., T. Hewson, F. Sadlo, R. Westermann and M. Rautenhaus, 2018: Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow. IEEE Transactions on Visualization and Computer Graphics , 24, pp. 893-902, doi: 10.1109/TVCG.2017.2743989



• Kern, M., T. Hewson, A. Schäfler, R. Westermann and M. Rautenhaus, 2018: Interactive 3D Visual Analysis of Atmospheric Fronts IEEE Transactions on Visualization and Computer Graphics. ,doi:10.1109/TVCG.2018.2864806.



• Kumpf, A., B. Tost, M. Baumgart, M. Riemer, R. Westermann and M. Rautenhaus, 2018: Visualizing Confidence in Cluster-Based Ensemble Weather Forecast Analyses, IEEE Transactions on Visualization and Computer Graphics, 24, pp. 109-119, Jan. 2018. doi: 10.1109/TVCG.2017.2745178.



• Kumpf, A., M. Rautenhaus, M. Riemer and R. Westermann, 2018: Visual Analysis of the Temporal Evolution of Ensemble Forecast Sensitivities. IEEE Transactions on Visualization and Computer Graphics.,doi: 10.1109/TVCG.2018.2864901.



• Lux, O., C. Lemmerz, F. Weiler, U. Marksteiner, B. Witschas, S. Rahm, A. Schäfler, A., and O. Reitebuch, 2018: Airborne wind lidar observations over the North Atlantic in 2016 for the pre-launch validation of the satellite mission Aeolus. Atmos. Meas. Tech., 11, 3297-3322, https://doi.org/10.5194/amt-11-3297-2018.



• 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, 2018: The North Atlantic Waveguide and Downstream Impact Experiment. Bull. Amer. Meteor. Soc., 99, 1607-1637, https://doi.org/10.1175/BAMS-D-17-0003.1.


Other publications:


• Boettcher, M., A. Schäfler, M. Sprenger, H. Sodemann, S. Kaufmann, C. Voigt, H. Schlager, D. Summa, P. Di Girolamo, D. Nerini, U. Germann, and H. Wernli, 2021: Lagrangian matches between observations from aircraft, lidar and radar in a warm conveyor belt crossing orography. Atmos. Chem. Phys., 21, 5477-5498, https://doi.org/10.5194/acp-21-5477-2021.



• Fox, S., 2021: An Evaluation of Radiative Transfer Simulations of Cloudy Scenes from a Numerical Weather Prediction Model at Sub-Millimetre Frequencies Using Airborne Observations. Remote Sens. , 12(17):2758, https://doi.org/10.3390/rs12172758



• Craig, G. C., A. H. Fink, C. Hoose, T. Janjic, P. Knippertz, A. Laurian, S. Lerch, B. Mayer, A. Miltenberger, R. Redl, M. Riemer, K. I. Tempest, and V. Wirth, 2021. Waves to Weather: Exploring the limits of predictability of weather. Bull. Amer. Meteor. Soc., accepted online version, https://doi.org/10.1175/BAMS-D-20-0035.1.



• Stevens, B., F. Ament, S. Bony, S. Crewell, F. Ewald, S. Gross, A. Hansen, L. Hirsch, M. Jacob, T. Kölling, H. Konow, B. Mayer, M. Wendisch, M. Wirth, K. Wolf, S. Bakan, M. Bauer-Pfundstein, M. Brueck, J. Delanoë, A. Ehrlich, D. Farrell, M. Forde, F. Gödde, H. Grob, M. Hagen, E. Jäkel, F. Jansen, C. Klepp, M. Klingebiel, M. Mech, G. Peters, M. Rapp, A. A. Wing, and T. Zinner, 2019: A High-Altitude Long-Range Aircraft Configured as a Cloud Observatory: The NARVAL Expeditions. Bull. Amer. Meteor. Soc. , 100, 1061-1077, https://doi.org/10.1175/BAMS-D-18-0198.1



• Wick, G. A., J. P. Dunion, P. G. Black, J. R. Walker, R. D. Torn, A. C. Kren, A. Aksoy, H. Christophersen, L. Cucurull, B. Dahl, J. M. English, K. Friedman, T. R. Peevey, K. Sellwood, J. A. Sippel, V. Tallapragada, J. Taylor, H. Wang, R. E. Hood, and P. Hall, 0: NOAA'S SENSING HAZARDS WITH OPERATIONAL UNMANNED TECHNOLOGY (SHOUT) EXPERIMENT: Observations and Forecast Impacts. Bull. Amer. Meteor. Soc., 0, https://doi.org/10.1175/BAMS-D-18-0257.1



• Witschas, B., C. Lemmerz, A. Geiß, O. Lux, U. Marksteiner, S. Rahm, O. Reitebuch, and F. Weiler, 2021: First validation of Aeolus wind observations by airborne Doppler wind lidar measurements. Atmos. Meas. Tech. , 13, 2381-2396, https://doi.org/10.5194/amt-13-2381-2020.