Meteorologie
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Inhaltsbereich
2024

  • Puh, M., Tempest, K.I., Keil, C. & Craig, G.C. , 2024, Flow dependence of forecast uncertainty in a large convection permitting ensemble, Quarterly Journal of the Royal Meteorological Society, In review ,
  • Spaeth, J., P. Rupp, H. Garny, T. Birner, 2024, Stratospheric impact on subseasonal forecast uncertainty in the Northern extratropic, Commun Earth Environ , 5, 126 https://doi.org/10.1038/s43247-024-01292-z.

2023

  • Barry, J., S. Meilinger, K. Pfeilsticker, A. Herman-Czezuch, N. Kimiaie, C. Schirrmeister, R. Yousif, T. Buchmann, J. Grabenstein, H. Deneke, J. Witthuhn, C. Emde, F. Gödde, B. Mayer, L. Scheck, M. Schroedter-Homscheidt, P. Hofbauer, M. Struck, 2023, Irradiance and cloud optical properties from solar photovoltaic systems, Atmos. Meas. Tech., in review.
  • Baur, F., L. Scheck, C. Stumpf, C. Köpken-Watts, R. Potthast, 2023, A neural network-based method for generating synthetic 1.6 μm near-infrared satellite images, AMT, in review.
  • Hufnagl, L., R. Eichinger, H. Garny, T. Birner, A. Kuchař, P. Jöckel, P. Graf, 2023, Stratospheric Ozone Changes damp the CO2-induced Acceleration of the Brewer-Dobson Circulation, J. Climate, https://doi.org/10.1175/JCLI-D-22-0512.1, 1–36.
  • Jäger, F., P. Rupp, T. Birner, 2023, Robust poleward jet shifts in idealised baroclinic-wave life-cycle experiments with noisy initial conditions, Weather Clim. Dynam., 4, 49-60, https://doi.org/10.5194/wcd-4-49-2023.
  • Puh, M., Keil, C. Gebhardt, C. Marsigli, C. Hirt, M. Jakub, F. Craig, G.C., 2023, Physically based stochastic perturbations improve a high-resolution forecast of convectio, Quaterly Journal of the Royal Meteorological Society, 149 (757), 3582-3592 https://doi.org/10.1002/qj.4574.
  • Valmassoi, A., J. D. Keller, D. T. Kleist, S. English, B. Ahrens, I. Bašták Ďurán, E. Bauernschubert, M. G. Bosilovich, M. Fujiwara, H. Hersbach, L. Lei, U. Löhnert, N. Mamnun, C. R. Martin, A. Moore, D. Niermann, J. J. Ruiz, L. Scheck, 2023, Current Challenges and Future Directions in Data Assimilation and Reanalysis, Bull. Amer. Meteor. Soc., 104, E756–E767.
  • Walz, R., H. Garny, T. Birner, 2023, Stratospheric modulation of tropical upper-tropospheric warming-induced circulation changes in an idealized general circulation model, J. Atmos. Sci., 80, 611–631, https://doi.org/10.1175/JAS-D-21-0232.1.

2022

  • Barthlott, C., A. Zarboo, T. Matsunobu, and C. Keil , 2022, Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation, Atmos. Chem. Phys. Discuss., in review,
  • Barthlott, C., A. Zarboo, T. Matsunobu, and C. Keil, 2022, Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation, Atmos. Chem. Phys., 22, 2153–2172, https://doi.org/10.5194/acp-22-2153-2022.
  • Baur, F., Keil, C. & Barthlott, C., 2022, Combined effects of soil moisture and microphysical perturbations on convective clouds and precipitation for a locally forced case over Central Europe, Q. J. Roy. Meteorol. Soc., doi:10.1002/qj.4295.
  • Boljka, L., T. Birner, 2022, Potential impact of tropopause sharpness on the structure and strength of the general circulation, npj Clim. Atmos. Sci., 5, 98, https://doi.org/10.1038/s41612-022-00319-6.
  • Craig, G. C., M. Puh, C. Keil, K. Tempest, T. Necker, J. Ruiz, M. Weissmann, and T. Miyoshi, 2022, Distributions and convergence of forecast variables in a 1000 member convection‐permitting ensemble, Q. J. Roy. Meteorol. Soc., doi:10.1002/qj.4305.
  • Davis, L. B., D. W. J. Thompson, T. Birner, 2022, Links between Climate Sensitivity and the Large-Scale Atmospheric Circulation in a Simple General Circulation Model, J. Climate, 35, 5119–5136, https://doi.org/10.1175/JCLI-D-21-0320.1.
  • Davis, N. A., T. Birner, 2022, Eddy-mediated Hadley cell expansion due to axisymmetric angular momentum adjustment to greenhouse gas forcings, J. Atmos. Sci., 79, 141-159, https://doi.org/10.1175/JAS-D-20-0149.1.
  • Diefenbach, T., G.C. Craig, C. Keil, L. Scheck and M. Weissmann, 2022, Partial Analysis Increments as Diagnostic for LETKF Data Assimilation Systems, Q. J. Roy. Meteorologie. Soc., in review,
  • Gleiter, T., T. Janjic, N. Chen, 2022, Ensemble Kalman Filter based Data Assimilation for Tropical Waves in the MJO Skeleton Model, QJR Meteorol Soc, in print, doi: 10.1002/qj.4245, (link).
  • Legler, S. and T. Janjic, 2022, Combining data assimilation and machine learning to estimate parameters of a convective-scale model, Q. J. R. Meteorol. Soc., 1-15, https://doi.org/10.1002/qj.4235, (link).
  • Matsunobu, T., Zarboo, A., Barthlott, C. and Keil, C. , 2022, Impact of combined microphysical uncertainties on convective clouds and precipitation in ICON-D2-EPS forecasts during different synoptic control, Weather and Climate Dynamics, 1–25. doi: 10.5194/wcd-2022-17, in review.
  • Rupp, P., S. Loeffel, H. Garny, X. Chen, J. G. Pinto, T. Birner, 2022, Potential links between tropospheric and stratospheric circulation extremes during early 2020, J. Geophys. Res., 127, https://doi.org/10.1029/2021JD035667.
  • Spaeth, J., T. Birner, 2022, Stratospheric modulation of Arctic Oscillation extremes as represented by extended-range ensemble forecasts, Weather Clim. Dynam., 3, 883–903, https://doi.org/10.5194/wcd-3-883-2022.
  • Zeng, Y., Y. Feng, A. de Lozar, K. Stephan, L. Scheck, K. Khosravianghadikolaei, U. Blahak, 2022, Evaluating Latent-Heat-Nudging Schemes and Radar forward Operator Settings for a Convective Summer Period over Germany Using the ICON-KENDA System, Remote Sens., 14, 5295.

2021

  • Baldwin, M. P., B. Ayarzagüena, T. Birner, N. Butchart, A. J. Charlton-Perez, A. H. Butler, D. I. V. Domeisen, C. I. Garfinkel, H. Garny, E. P. Gerber, M. I. Hegglin, U. Langematz, N. M. Pedatella, 2021, Sudden Stratospheric Warmings, Rev. Geophys., 59, https://doi.org/10.1029/2020RG000708.
  • Feng, Y., T. Janjic, Y. Zeng, A.Seifert, J. Min, 2021, Representing Microphysical Uncertainty in Convective-scale Data Assimilation using Additive Noise, Journal of Advances in Modeling Earth Systems, 13, e2021MS002606, (link).
  • Geiss, S., L. Scheck, A. de Lozar, M. Weissmann, 2021, Understanding the model representation of clouds based on visible and infrared satellite observations, ACP, 21, 12273-12290.
  • Gupta, A., T. Birner, A. Dörnbrack, I. Polichtchouk, 2021, Importance of gravity wave forcing for springtime southern polar vortex breakdown as revealed by ERA5, Geophys. Res. Lett., 48, https://doi.org/10.1029/2021GL092762.
  • Hirt, M. and Craig, G. C., 2021, A cold pool perturbation scheme to improve convective initiation in convection‐permitting models, Quarterly Journal of the Royal Meteorological Society, accepted, https://doi.org/10.1002/qj.4032.
  • Janjic, T. and Y. Zeng, 2021, Weakly constrained LETKF for estimation of hydrometeor variables in convective-scale data assimilation, Geophysical Research Letters, 48, e2021GL094962, DOI: 10.1029/2021GL094962, (link).
  • Janjic, T., Y. Ruckstuhl, P. L. Toint, 2021, A data assimilation algorithm for predicting rain, Quart. J. Roy. Meteor. Soc., 1949– 1963, (link).
  • Martin, A., M. Weissmann, O. Reitebuch, M. Rennie, A. Geiß, A. Cress , 2021, Validation of Aeolus winds using radiosonde observations and NWP model equivalents, Atmos. Meas. Tech. , 14, 2167–2183.
  • Ruckstuhl Y., T. Janjic, S. Rasp, 2021, Training a convolutional neural network to conserve mass in data assimilation, Nonlinear Processes in Geophysics, 28, 111–119, (link).
  • Rupp, P., T. Birner, 2021, Tropospheric eddy feedback to different stratospheric conditions in idealised baroclinic life cycles, Weather Clim. Dynam., 2, 111-128, https://doi.org/10.5194/wcd-2-111-2021.
  • Saito K., Duc L., Matsunobu T., Kurihana T., 2021, Perturbations by the Ensemble Transform, Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, (Vol. IV), 115-141.
  • Scheck, L., 2021, A neural network based forward operator for visible satellite images and its adjoint, JQSRT, 274, 0022-4073.
  • Scherllin-Pirscher, B., A. K. Steiner, R. A. Anthes, M. J. Alexander, S. P. Alexander, R. Biondi, T. Birner, J. Kim, W. J. Randel, S. Son, T. Tsuda, Z. Zeng, 2021, Tropical Temperature Variability in the UTLS: New Insights from GPS Radio Occultation Observations, J. Climate, 34(8), 2813–2838, https://doi.org/10.1175/JCLI-D-20-0385.1.
  • Weinberger, I., C. I. Garfinkel, I. White, T. Birner, 2021, The efficiency of upward wave propagation near the tropopause: importance of the form of the refractive index, J. Atmos. Sci., 78, 2605–2617, https://doi.org/10.1175/JAS-D-20-0267.1.
  • Zeng, Y., A. de Lozar, T. Janjic, A. Seifert, 2021, Applying a new integrated mass-flux adjustment filter in rapid update cycling of convective-scale data assimilation, Geoscientific Model Development, 14, 1295–1307, (link).
  • Zeng, Y., Janjic, T., Feng, Y., Blahak, U., de Lozar, A., Bauernschubert, E., Stephan, K., and Min, J., 2021, Interpreting estimated Observation Error Statistics of Weather Radar Measurements using the ICON-LAM-KENDA System, Atmos. Meas. Tech., 14, 5735–5756, (link).
  • Zeng, Y., T. Janjic, A. de Lozar, C. A. Welzbacher, U. Blahak, A. Seifert, 2021, Assimilating radar radial wind and reflectivity data in an idealized setup of the COSMO-KENDA system, Atmospheric Research, 249, 105282, (link).

2020

  • Bachmann, K., C. Keil, G.C. Craig, M. Weissmann, C. Welzbacher, 2020, Predictability of Deep Convection in Idealized and Operational Forecasts : Effects of Radar Data Assimilation , Orography and Synoptic Weather Regime, Monthly Weather Review, 148 , 63-81, (link).
  • Boljka, L., T. Birner, 2020, Tropopause-level planetary wave source and its role in two-way troposphere–stratosphere coupling, Weather Clim. Dynam., 1, 555–575, https://doi.org/10.5194/wcd-1-555-2020.
  • Garny, H., R. Walz, M. Nützel, T. Birner, 2020, Extending the Modular Earth Submodel System (MESSy v2.54) model hierarchy: The ECHAM/MESSy idealized (EMIL) model setup, Geosci. Model Dev., 13, 5229–5257, https://doi.org/10.5194/gmd-13-5229-2020.
  • Grazzini F., Craig G. C., Keil, C., Antolini G., Pavan V., 2020, Extreme precipitation events over Northern Italy. Part (I): a systematic classification with machine learning techniques., Quart. J. Roy. Meteor. Soc., (link).
  • Hirt, M., Craig, G. C., Schäfer, S. A. K., Savre, J. , Heinze, R., 2020, Cold pool driven convective initiation: using causal graph analysis to determine what convection permitting models are missing, Quart. J. Roy. Meteor. Soc, 146, 2205-2227.
  • Hutt, A., C. Schraff, H. Anlauf, L. Bach, M. Baldauf, E. Bauernschubert, A. Cress, R. Faulwetter, F. Fundel, C. Köpken-Watts, H. Reich, A. Schomburg, J. Schroettle, K. Stephan, O. Stiller, M. Weissmann, R. Potthast, 2020, Assimilation of SEVIRI water vapour channels with an ensemble Kalman filter on the convective scale, Frontiers in Earth Science, 8, 70 (link).
  • Kautz, L.-A., I. Polichtchouk, T. Birner, H. Garny, J. G. Pinto, 2020, Enhanced extended‐range predictability of the 2018 late‐winter Eurasian cold spell due to the stratosphere, Quart. J. Roy. Meteor. Soc., 146, 1040-1055, https://doi.org/10.1002/qj.3724.
  • Keil, C., Chabert, L., Nuissier, O., and Raynaud, L., 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.
  • Necker, T., M. Weissmann, Y. Ruckstuhl, J. Anderson, T. Miyoshi , 2020, Sampling error correction evaluated using a convective-scale 1000-member ensemble, Mon. Wea. Rev., 148, 1229–1249 (link).
  • Necker, T., S. Geiss, M. Weissmann, J. Ruiz, T. Miyoshi, G.-Y. Lien, 2020, A convective-scale 1000-member ensemble simulation and potential applications, Q. J. R. Meteorol. Soc., 146, 1423-1442 (link).
  • Rivoire, L., T. Birner, J. A. Knaff, N. Tourville, 2020, Quantifying the radiative impact of clouds on tropopause layer cooling in tropical cyclones, J. Climate, 33, 6361–6376, https://doi.org/10.1175/JCLI-D-19-0813.1.
  • Ruckstuhl, Y. and T. Janjić, 2020, Combined State-Parameter Estimation with the LETKF for Convective-Scale Weather Forecasting, Mon. Wea. Rev., 148, 1607–1628, (link).
  • Scheck, L., M. Weissmann, L. Bach, 2020, Assimilating visible satellite images for convective-scale numerical weather prediction: A case study, Q. J. R. Meteorol. Soc., 146, 3165–3186 (link).
  • Schindler, M., Weissmann, M., Schäfler, A., Radnoti, G., 2020, The impact of dropsonde and extra radiosonde observations during NAWDEX in autumn 2016, Mon. Wea. Rev., 148 , 809-824 (link).
  • Schroettle, J., M. Weissmann, L. Scheck, A. Hutt, 2020, Assimilating visible and thermal radiances in idealized simulations of deep convection, Mon. Wea. Rev., accepted, 148 , 4357 - 4375 (link).
  • Stevens, B., C. Acquistapace, A. Hansen, R. Heinze, C. Klinger, D. Klocke, H. Rybka, W. Schubotz, J. Windmiller, P. Adamidis, I. Arka, V. Barlakas, J. Biercamp, M. Brueck, S. Brune, S. A. Buehler, U. Burkhardt, G. Cioni, M. Costa-Suròs, S. Crewell, T. Crüger, H. Deneke, P. Friederichs, C. C. Henken, C. Hohenegger, M. Jacob, F. Jakub, N. Kalthoff, M. Köhler, T. W. van Laar, P. Li, U. Löhnert, A. Macke, N. Madenach, B. Mayer, C. Nam, A. K. Naumann, K. Peters, S. Poll, J. Quaas, N. Röber, N. Rochetin, L. Scheck, V. Schemann, S. Schnitt, A. Seifert, F. Senf, M. Shapkalijevski, C. Simmer, S. Singh, O. Sourdeval, D. Spickermann, J. Strandgren, O. Tessiot, N. Vercauteren, J. Vial, A. Voigt, and G. Zängl, 2020, The added value of large-eddy and storm-resolving models for simulating clouds and precipitation, J. Meteor. Soc. Japan, 98, https://doi.org/10.2151/jmsj.2020-021.
  • Zeng, Y., T. Janjic, A. de Lozar, S. Rasp, U. Blahak, A. Seifert, G. C. Craig, 2020, Comparison of methods accounting for subgrid-scale model error in convective-scale data assimilation, Mon. Wea. Rev., 148, 2457-2477, (link).
  • de la Cámara, A., T. Birner, J. R. Albers, 2020, Are sudden stratospheric warmings preceded by anomalous tropospheric wave activity?, J. Climate, 32, 7173–7189, https://doi.org/10.1175/JCLI-D-19-0269.1.

2019

  • Bachmann, K., C. Keil, M. Weissmann, 2019, Impact of radar data assimilation and orography on predictability of deep convection, Q. J. R. Meteorol. Soc., , 145, 117-130 (link).
  • Baldwin, M. P., T. Birner, G. Brasseur, J. Burrows, N. Butchart, R. Garcia, M. Geller, L. Gray, K. Hamilton, N. Harnik, M. I. Hegglin, U. Langematz, A. Robock, K. Sato, A. Scaife, 2019, 100 Years of Progress in Understanding the Stratosphere and Mesosphere, Meteorological Monographs, 59, 27.1–27.62, https://doi.org/10.1175/AMSMONOGRAPHS-D-19-0003.1.
  • Camus C., P. Offermann, M. Weissmann, C. Buerhop, J. Hauch, C. J. Brabec, 2019, Site-Specific Assessment of Mechanical Loads on Photovoltaic Modules from Meteorological Reanalysis Data, Solar Energy, 188, 1134-1145 (link).
  • Charlesworth, E. J., T. Birner, J. R. Albers, 2019, Ozone transport-radiation feedbacks in the tropical tropopause layer, Geophys. Res. Lett., 46, 14195-14202, https://doi.org/10.1029/2019GL084679.
  • Dacie, S., L. Kluft, H. Schmidt, B. Stevens, S. A. Buehler, P. J. Nowak, S. Dietmüller, N. L. Abraham, T. Birner, 2019, A 1D RCE study of factors affecting the tropical tropopause layer and surface climate, J. Climate, 32, 6769–6782, https://doi.org/10.1175/JCLI-D-18-0778.1.
  • Davis, N. A., T. Birner, 2019, Eddy influences on the Hadley circulation, J. Adv. Model. Earth Sci. (JAMES), 11, 1563-1581, https://doi.org/10.1029/2018MS001554.
  • Eichinger, R., S.Dietmüller, H. Garny, P. Sacha, T. Birner, H. Böhnisch, G. Pitari, D. Visioni, A. Stenke, E. Rozanov, L. Revell, D. A. Plummer, P. Jöckel, L. Oman, M. Deushi, D. E. Kinnison, R. Garcia, O. Morgenstern, G. Zeng, K. A. Stone, R. Schofield, 2019, The influence of mixing on stratospheric circulation changes in the 21st century, Atmos. Chem. Phys., 19, 921–940, https://doi.org/10.5194/acp-19-921-2019.
  • Grise, K. M., S. M. Davis, I. R. Simpson, D. W. Waugh, Q. Fu, R. J. Allen, K. H. Rosenlof, C. C. Ummenhofer, K. B. Karnauskas, A. C. Maycock, X.-W. Quan, T. Birner, P. W. Staten, 2019, Recent tropical expansion: Natural variability or forced response?, J. Climate, 32, 1551–1571, https://doi.org/10.1175/JCLI-D-18-0444.1.
  • Hirt, M., Rasp, S., Blahak, U., Craig, G. C., 2019, Stochastic parameterization of processes leading to convective initiation in kilometer-scale models, Monthly Weather Review, 147, 3917–3934 (link).
  • Keil, C., F. Baur, K. Bachmann, S. Rasp, L. Schneider, C. Barthlott, 2019, Relative contribution of soil moisture, boundary layer and microphysical perturbations on convective predictability in different weather regimes, Q. J. R. Meteorol. Soc., 145, 3102-3115, (link).
  • Mitchell, J. L., T. Birner, G. Lapeyre, N. Nakamura, P. L. Read, G. Riviére, A. Sánchez-Lavega, G. K. Vallis, 2019, Zonal Jets in Nature - Terrestrial Atmospheres, Zonal Jets, Eds. B. Galperin, P. L. Read; Cambridge University Press,
  • Ploeger, F., B. Legras, E. Charlesworth, X. Yan, M. Diallo, P. Konopka, T. Birner, M. Tao, A. Engel, M. Riese, 2019, How robust are stratospheric age of air trends from different reanalyses?, Atmos. Chem. Phys., 19, 6085–6105, https://doi.org/10.5194/acp-19-6085-2019.
  • Zeng Y., T. Janjic, M. Sommer, A. de Lozar, U. Blahak, A. Seifert, 2019, Representation of model error in convective-scale data assimilation: additive noise based on model truncation error, J. Advances in Modelling Earth Systems, 11, 752-770, (link).

2018

  • Adam, O., K. M. Grise, P. Staten, I. R. Simpson, S. M. Davis, N. A. Davis, D. W. Waugh, T. Birner, 2018, The TropD software package (v1): standardized methods for calculating tropical-width diagnostics, Geosci. Model Dev.,
  • Baur F, Keil C, Craig GC, 2018, Soil moisture–precipitation coupling over Central Europe: Interactions between surface anomalies at different scales and the dynamical implication, Q J R Meteorol Soc., 144, 2863-2875 117-130 (link).
  • Craig, C. G., T. Selz, 2018, Mesoscale dynamical regimes in the midlatitudes, Geophys. Res. Lett., 45,
  • Egger, J. and T. Spengler, 2018, Nonuniqueness of attribution in piecewise potential vorticity inversion, J.Atmos.Sci, 75,3, 875-883.
  • Gentine, P., M. Pritchard, S. Rasp, G. Reinaudi and G. Yacalis, 2018, Could machine learning break the convection parameterization deadlock?, Geophys. Res. Lett., (link).
  • Gustafsson, N., T. Janjic, C. Schraff, D. Leuenberger, M. Weissmann, H. Reich, P. Brousseau, T. Montmerle, E. Wattrelot, A. Bucanek, M. Mile, R. Hamdi, M. Lindskog, J. Barkmeijer, M. Dahlbom, B. Macpherson, S. Ballard, G. Inverarity, J. Carley, C. Alexander, D. Dowell, S. Liu, Y. Ikuta and T. Fujita, 2018, Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres., Q. J. R. Meteorol. Soc. , 144, 1218-1256 (link).
  • Hirt, M., L. Schielicke, A. Müller, P. Névir, 2018, Statistics and dynamics of blockings with a point vortex model, Tellus A: Dynamic Meteorology and Oceanography, 70:1, 1458565 (link).
  • Janjic, T., N. Bormann, M. Bocquet, J. A. Carton, S.E. Cohn, S.L. Dance, S.N. Losa, N.K. Nichols, R. Potthast, J.A. Waller, P. Weston, 2018, On the representation error in data assimilation, accepted Q. J. R. Meteorol. Soc., 144:713, 1257-1278, (link).
  • Janjic, T., R. Potthast, P. J. Van Leeuwen , 2018, Editorial for Advances in Data Assimilation Methods, Q. J. R. Meteorol. Soc., 144:713, 1189-1190, (link).
  • Necker, T., M. Weissmann, M. Sommer, 2018, The importance of appropriate verification metrics for the assessment of observation impact in a convection-permitting modelling system, Q. J. R. Meteorol. Soc.,, 144, 1667-1680 (link).
  • Rasp, S., M. Pritchard and P. Gentine, 2018, Deep learning to represent sub-grid processes in climate models, Proceedings of the National Academy of Sciences, 201810286 (link).
  • Rasp, S., T. Selz and G. C. Craig, 2018, 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., EOR, https://doi.org/10.1175/JAS-D-17-0258.1.
  • Ruckstuhl Y. and T. Janjic, 2018, Parameter and state estimation with ensemble Kalman filter based approaches for convective scale data assimilation, Q. J. R. Meteorol. Soc., 144:712, 826--841, (link).
  • Scheck, L., Weissmann, M., Mayer, B., 2018, Efficient methods to account for cloud top inclination and cloud overlap in synthetic visible satellite images, JTECH, 35, 665 - 685 (link).
  • 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.
  • Sommer, M. and T. Janjic, 2018, A flexible additive inflation scheme for treating model error in Ensemble Kalman Filters, Q. J. R. Meteorol. Soc., 144, 2026--2037, (link).
  • Staten, P. W., J. Lu, K. M. Grise, S. M. Davis, T. Birner, 2018, Re-examining tropical expansion, Nature Climate Change, 8, 768–775, https://doi.org/10.1038/s41558-018-0246-2.
  • Zeng. Y. T. Janjic, A. de Lozar, U. Blahak, H. Reich, C. Keil, A. Seifert, 2018, Representation of model error in convective-scale data assimilation: Additive noise, relaxation methods and combinations, J. Advances in Modelling Earth Systems, 10, 2889–2911, (link).

2017

  • Arnault, J., T. Rummler, F. Baur, S. Lerch, S. Wagner, B. Fersch, Z. Zhang, N. Kerandi, C. Keil, H. Kunstmann, 2017, Does the uncertainty in the representation of terrestrial water flows affect precipitation predictability? A WRF-Hydro ensemble analysis for Central Europe, J. of Hydromet., submitted,
  • Bley, S., H. Deneke, F. Senf, L. Scheck, 2017, Metrics for the evaluation of warm convective cloud fields in a large‐eddy simulation with Meteosat images, Q.J.R. Meteorol. Soc., 143, 2050-2060.
  • Egger J., K.-P. Hoinka, Th. Spengler, 2017, Inversion of potential vorticity density., J. Atmos. Sci. 74, , 801-807.
  • Egger,J. and K.P.Hoinka, 2017, The vertical component of the grostrophie wind, Q.J.R Meteorol. Soc., 143, 1704-1713.
  • Heinze, R., Dipankar, A., Carbajal Henken, C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., Barthlott, C., Behrendt, A., Blahak, U., Bley, S., Brdar, S., Brueck, M., Crewell, S., Deneke, H., Di Girolamo, P., Evaristo, R., Fischer, J., Frank, C., Friederichs, P., Göcke, T., Gorges, K., Hande, L., Hanke, M., Hansen, A., Hege, H.-C., Hoose, C., Jahns, T., Kalthoff, N., Klocke, D., Kneifel, S., Knippertz, P., Kuhn, A., van Laar, T., Macke, A., Maurer, V., Mayer, B., Meyer, C. I., Muppa, S. K., Neggers, R. A. J., Orlandi, E., Pantillon, F., Pospichal, B., Röber, N., Scheck, L., Seifert, A., Seifert, P., Senf, F., Siligam, P., Simmer, C., Steinke, S., Stevens, B., Wapler, K., Weniger, M., Wulfmeyer, V., Zängl, G., Zhang, D. and Quaas, J., 2017, Large-eddy simulations over Germany using ICON: A comprehensive evaluation, Q.J.R. Meteorol. Soc., 143, 69-100.
  • L. Bierdel, T. Selz and G. C. Craig, 2017, Theoretical aspects of upscale error growth through the mesoscales: an analytical model, Quart. J. Roy. Meteor. Soc., 143, 3048–3059 .
  • Lange, H., G. C. Craig, T. Janjic, 2017, Characterizing Noise and Spurious Convection in Convective Data Assimilation, Q. J. R. Meteorol. Soc., 143:709, 3060–3069, doi:10.1002/qj.3162.
  • Selz, T., L. Fischer, and G. C. Craig, 2017, Structure function analysis of water vapor simulated with a convection-permitting model and comparison to airborne lidar observations, Journal of the Atmos. Sciences, accepted,
  • Spensberger C., J. Egger, Th.Spengler, 2017, Synoptic systems interacting with the Rocky Mountains barrier, Mon. Weather Rev.135, in press,
  • Spensberger, Cl., J.Egger and Th.Spengler, 2017, Synoptic systems interacting with the Rocky Mountains barrier, Observations and theories Mon.wea.Rev, 145.
  • Zeng, Y., T. Janjic, Y. Ruckstuhl and M. Verlaan, 2017, Ensemble-Type Kalman Filter Algorithm conserving Mass, Total Energy and Enstrophy, Q. J. R. Meteorol. Soc., 143:708, 2902–2914, doi:10.1002/qj.3142.

2016

  • Abalos, M., W. J. Randel, T. Birner, 2016, Phase-speed spectra of eddy tracer fluxes linked to isentropic stirring and mixing in the upper troposphere and lower stratosphere, J. Atmos. Sci.,
  • Flack, D.L.A., Plant, R.S., Gray, S.L., Lean, H.W., Keil, C., Craig, G.C., 2016, Characterisation of convective regimes over the British Isles, Q. J. R. Meteorol. Soc., 142, 1541-1553.
  • Folger, K. and M. Weissmann, 2016, Lidar-based height correction for the assimilation of atmospheric motion vectors, J. Appl. Meteor. Climatol., 55, 2211–2227 (link).
  • Harnisch, F., M. Weissmann, and A. Perianez, 2016, Error model for the assimilation of cloud-affected infrared satellite observations in an ensemble data assimilation system, Q. J. R. Meteorol. Soc., 142, 1797–1808. (link).
  • Haslehner, M., T. Janjic, G. C. Craig, 2016, Testing particle filters on convective scale models. Part l: A stochastic cloud model, Q. J. R. Meteorol. Soc., 142:696, 1439-1452, doi = 10.1002/qj.2745.
  • Haslehner, M., T. Janjic, G. C. Craig, 2016, Testing particle filters on convective scale models. Part lI: A modified shallow water model, Q. J. R. Meteorol. Soc., 142:697, 1628-1646, doi = 10.1002/qj.2757.
  • Kober, K., G.C.Craig, 2016, 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..
  • L. Bierdel and C. Snyder and S.-H. Park and W. C. Skamarock, 2016, Accuracy of rotational and divergent kinetic energy spectra diagnosed from flight track winds, J. Atmos. Sci., 73, 3273-3286.
  • Lange, H. and T. Janjic, 2016, Assimilation of Mode-S EHS Aircraft Observations in COSMO-KENDA, Monthly Weather Review, 144:5, 1697–1711, (link).
  • Rasp, S., T. Selz and G. C. Craig, 2016, Convective and slantwise trajectory ascent in convection-permitting simulations of mid-latitude cyclones, Monthly Weather Review, EOR, doi:10.1175/MWR-D-16-0112.1 .
  • Scheck, L., P. Frerebeau, R. Buras-Schnell and B. Mayer, 2016, A fast radiative transfer method for the simulation of visible satellite imagery, Journal of Quantitative Spectroscopy and Radiative Transfer, 175, 54-67.
  • Simmer, C., G. Adrian, S. Jones, V. Wirth, M. Göber, C. Hohenegger, T. Janjic, J. Keller, C. Ohlwein, A. Seifert, S. Trömel, T. Ulbrich, K. Wapler, M. Weissmann, J. Keller, M. Masbou, S. Meilinger, N. Riss, A. Schomburg, C. Stein, A. Vormann, 2016, HErZ - The German Hans-Ertel Centre for Weather Research, Bull. Amer. Soc., 97, 1057-1068. (link).
  • Sommer, M. and M. Weissmann, 2016, Ensemble-based approximation of observation impact using an observation-based verification metric, Tellus A, 68, 27885 (link).
  • Y.Zeng and T. Janjic, 2016, Study of Conservation Laws with the Local Ensemble Transform Kalman Filter, Q. J. R. Meteorol. Soc., 142, 2359–2372, doi:10.1002/qj.2829.
  • Zeng, Y., U. Blahak, D. Jerger, 2016, An efficient modular volume‐scanning radar forward operator for NWP models: description and coupling to the COSMO model, Q. J. R. Meteorol. Soc., 142, 3234-3256.

2015

  • Egger J., K.-P. Hoinka, Th.Spengler, 2015, Aspects of potential vorticity fluxes: climatology and impermeability., J. Atmos. Sci. 72,, 3256-3266.
  • Egger, J., K.-P. Hoinka, 2015, Zonal mean circulation for two conserved medidional coordinates, Quart.. J. Roy. Met. Soc., DOI: 10.1002/qj2373, 141.PartB,518-524.
  • Harnisch, F. and C. Keil, 2015, Initial conditions for convective-scale ensemble forecasting provided by ensemble data assimilation, Mon. Wea. Rev., 143, 1583-1600, doi: 10.1175/MWR-D-14-00209.1.
  • Schäfler, A. and F. Harnisch, 2015, Impact of the inflow moisture on the evolution of a Warm Conveyor Belt, Q. J. R. Meteorol. Soc., 141, 299-310 (link).
  • Wapler, K., F. Harnisch, T. Pardowitz and F. Senf, 2015, Characterisation and predictability of a strong and a weak forcing severe convective event - a multi-data approach, Meteorologische Zeitschrift, Vol. 24 No. 4, p. 393-410. (link).
  • Würsch, M. and M. Sprenger , 2015, Swiss and Austrian Foehn Revisited: A Lagrangian-based Analysis, Meteorol. Z., 24, 225-245 (link).

2014

  • Albertella A.,R. Savcenko,T. Janjić, R. Rummel, W. Bosch and J. Schröter, 2014, Earth on the Edge: Science for a Sustainable Planet, International Association of Geodesy Symposia, Springer Berlin Heidelberg, 139, 81-87.
  • Baker, W., R. Atlas, C. Cardinali, A. Clement, G. Emmitt, B. Gentry, M. Hardesty, E. Källén, M. Kavaya, R. Langland, M. Masutani, W. McCarty, B. Pierce, Z. Pu, L. P. Riishojgaard, J. Ryan, S. Tucker, M. Weissmann and J. Yoe, 2014, Lidar-Measured Wind Profiles – The Missing Link in the Global Observing System, Bull. Amer. Soc., 95, 543–564. (link).
  • Egger, J. and K.-P. Hoinka, 2014, Wave forcing of zonal mean angular momentum in various coordinate systems, J. Atmos. Sci., 71, 2221-2229.
  • Folger, K., and M. Weissmann, 2014, Height correction of atmospheric motion vectors using satellite lidar observations from CALIPSO, J. Appl. Meteor. Climatol., 53, 1809–1819 (link).
  • Janjic, T., D.McLaughlin, S.E. Cohn and M. Verlaan, 2014, Conservation of mass and preservation of positivity with ensemble-type Kalman filter algorithms, Monthly Weather Review, 142, 755-773.
  • Keane, R.J., G.C. Craig, C. Keil, G. Zängl, 2014, The Plant-Craig stochastic convection scheme in ICON and its scale-adaptivity, J. Atmos. Sci., 71: 3404-3415, (link).
  • Keil C, Heinlein F, Craig GC., 2014, The convective adjustment time-scale as indicator of predictability of convective precipitation., Q. J. R. Meteorol. Soc., 140, 480-490, DOI:10.1002/qj.2143, (link) .
  • Kober, K., G. C. Craig, C. Keil , 2014, Aspects of short-term probabilistic blending in different weather regimes, Q. J. R. Meteorol. Soc., 140, 1179-1188, DOI:10.1002/qj.2220, (link).
  • Kostka, P. M., M. Weissmann, R. Buras, B. Mayer and O. Stiller , 2014, Observation Operator for Visible and Near-Infrared Satellite Reflectances, J. Atmos. Oceanic Technol., 31, 1216–1233. (link).
  • Kühnlein C., C. Keil, G. Craig G. and C. Gebhardt, 2014, The impact of downscaled initial condition perturbations on convective-scale ensemble forecasts of precipitation, Q.J.R. Meteorol.Soc., 140, 1552–1562 (link).
  • Lange, H. and G.C. Craig, 2014, The Impact of Data Assimilation Length Scales on Analysis and Prediction of Convective Storms, Monthly Weather Review, 142, 3781–3808 (link).
  • Loza, S., S. Danilov, J. Schröter, T. Janjic-Pfander, L. Nerger, and F. Janssen, 2014, Assimilating NOAA SST data into BSH operational circulation model for the North and Baltic Seas: Part 2. Sensitivity of the forecast's skill to the prior model error statistics, Journal of Marine Systems, 129, 259-270.
  • Scheufele K., K. Kober, G. Craig, C. Keil , 2014, Combining probabilistic precipitation forecasts from a nowcasting technique with a time-lagged ensemble, Meteorol. Appl., 21, 230-240, (link).
  • Sommer, M. and M. Weissmann, 2014, Observation Impact in a Convective-Scale Localized Ensemble Transform Kalman Filter, Q. J. R. Meteorol. Soc., 140, 2672–2679. (link).
  • Weissmann, M., M. Göber, C. Hohenegger, T. Janjic, J. Keller, C. Ohlwein, A. Seifert, S. Trömel, T. Ulbrich, K. Wapler, C. Bollmeyer, H. Deneke, 2014, Initial phase of the Hans-Ertel Centre for Weather Research – A virtual centre at the interface of basic and applied weather and climate research, Meteorologische Zeitschrift, 23, 193 - 208. (link).
  • Würsch, M. and GC Craig, 2014, A simple dynamical model of cumulus convection for data assimilation research., Meteorol. Z., 23, 483-490 (link).

2013

  • Craig, G. C. and M. Würsch, 2013, The impact of localization and observation averaging for convective-scale data assimilation in a simple stochastic model, Q. J. R. Meteorol. Soc., 139, 515-523. (link).
  • Fischer, L., G. C. Craig, and C. Kiemle, 2013, Horizontal structure function and vertical correlation analysis of mesoscale water vapor variability observed by airborne lidar, J. Geophys. Res. Atmos., 118, 7579–7590.
  • Grams, C. M. , S. C. Jones, C. Davis, P. Harr, M. Weissmann, 2013, The impact of Typhoon Jangmi (2008) on the midlatitude flow. Part I: upper level ridgebuilding and modification of the jet, Quart. J. Roy. Meteor. Soc, 139, 2148–2164. (link).
  • Kühnlein, C., A. Dörnbrack, M. Weissmann, 2013, High-resolution Doppler lidar observations of transient downslope flows, Mon. Wea. Rev., 141, 3257-3272. (link).
  • Weissmann, M., K. Folger and H. Lange, 2013, Height correction of atmospheric motion vectors using airborne lidar observations, J. Appl. Meteor. Climatol., 52, 1868–1877. (link).

2012

  • Craig, G. C. , C. Keil and D. Leuenberger, 2012, Constraints on the impact of radar rainfall data assimilation on forecasts of cumulus convection, Quart. J. Roy. Meteor. Soc., DOI:10.1002/qj.929,
  • Egger, J., 2012, Comments on 'The usefulness of piecewise potential vorticity inversion', J. Atmos. Sci., 68,
  • Fischer, L., C. Kiemle, and G. C. Craig, 2012, Height-resolved variability of midlatitude tropospheric water vapor measured by an airborne lidar, Geophys. Res. Lett., 39, doi:10.1029/2011GL050621.
  • Kober, K., G. C. Craig, C. Keil, A. Dörnbrack, 2012, Blending a probabilistic nowcasting method with a high resolution numerical weather prediction ensemble for convective precipitation forecasts, Q.J.R. Meteorol. Soc., DOI:10.1002/qj.939,
  • Kühnlein, C., P.K. Smolarkiewicz, and A. Dörnbrack, 2012, Modelling atmospheric flows with adaptive moving meshes , J. Comput. Phys., 231, 2741–2763.
  • Reuder J., M. Ablinger, H. Agustsoson, P. Brisset, S. Brynjolfsson, M. Garhammer, T. Johannesson, M. Jonassen, R. Kuehnel, S. Laemmlein, Tor de Lange, Ch. Lindenberg, S. Malardel, S. Mayer, M. Mueller, H. Olafsson, O. Roegnvaldsson, W. Schaeper, T. Spengler, G. Zaengl, J. Egger, 2012, FLOHOF 2007: An overview of the mesoscale meteorological field campaign at Hofsjoekull, Central Iceland, Meteorology and Atmospheric Physics, 116, 1-13, doi 10.1007/s00703-010-0118-4.
  • Schröttle, J., A. Dörnbrack, 2012, Turbulence structure in a diabatically heated forest canopy composed of fractal Pythagoras trees, Theoretical and Computational Fluid Dynamics, DOI: 10.1007/s00162-012-0284-8,
  • Sommer, M., K. Brazda, M. Hantel, 2012, Statistical mechanics for conservative discretizations of two-dimensional incompressible flow, Meteorologische Zeitschrift, 21, 4, pp 371-384. (link).
  • Spengler, T. and J. Egger, 2012, Potential vorticity attribution and causality, J. Atmos. Sci., 69, 2600-2607.
  • Weissmann M., R. H. Langland, P. M. Pauley, S. Rahm, C. Cardinali, 2012, Influence of airborne Doppler wind lidar profiles on ECMWF and NOGAPS forecasts, Q. J. R. Meteorol. Soc., 138, 118-130. (link).

2011

  • Barthlott C., R. Burton, D. Kirshbaum, K. Hanley, E. Richard, J.-P. Chaboureau, J. Trentmann, B. Kern, H.-S. Bauer, T. Schwitalla, C. Keil, Y. Seity, A. Gadian, A. Blyth, S. Mobbs, C. Flamant and J. Handwerker, 2011, Initiation of deep convection at marginal instability in an ensemble of mesoscale models: a case-study from COPS, Quart. J. Meteor. Soc., 137, 118–136 DOI:10.1002/qj.707.
  • Bugliaro, L., T. Zinner, C. Keil, B. Mayer, R. Hollmann, M. Reuter, and W. Thomas, 2011, Validation of Cloud Property Retrievals with Simulated Satellite Radiances: A Case Study for SEVIRI, Atmospheric Chemistry and Physics, 11, 5603-5624, doi:10.5194/acp-11-5603-2011.
  • Chou, K.-H., C.-C. Wu, P.-H. Lin, S. D. Aberson, M. Weissmann, F. Harnisch, T. Nakazawa, 2011, The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC, Mon. Wea. Rev., 139, 1728-1743. (link).
  • Dengler, K., J. Anger, C. Keil, 2011, Validation of Time-Lagged Ensemble Forecasts Relevant for Predicting Aircraft Wake Vortices, Meteorologische Zeitschrift, 20, 625-634.
  • Done, J. M., G. C. Craig, S. L. Gray, P. A. Clark and M. E. B. Gray, 2011, Case-to-case variability of predictability of deep convection in a mesoscale model, Quart. J. Roy. Meteor. Soc., DOI:10.1002/qj.943,
  • Egger, J. and K.-P. Hoinka, 2011, Global angular momentum fluxes in height coordinates, Mon. Wea. Rev., 139, 2552-2560.
  • Egger, J., 2011, Mountain forces and the atmospheric energy budget, J. Atmos. Sciences, 68, 2698-2694.
  • Harnisch, F., M. Weissmann, C. Cardinali, M. Wirth , 2011, Experimental assimilation of DIAL water vapour observations in the ECMWF global model, Q. J. R. Meteorol. Soc., 137, 1532-1546. (link).
  • Keil, C. and G. C. Craig, 2011, Regime-dependent forecast uncertainty of convective precipitation, Meteorologische Zeitschrift, 20, 145-151.
  • Molini, L., A. Parodi, N. Rebora, and G. C. Craig, 2011, Classifying severe rainfall events over Italy by hydrometeorological and dynamical criteria, Quart. J. Roy. Meteor. Soc., 137, 148-154.
  • Pfeiffer, A., and G. Zängl, 2011, Regional climate simulations for the European Alpine Region - sensitivity of precipitation to large scale flow conditions of driving input data, Theoretical and Applied Climatology, DOI: 10.1007/s00704-010-0394-4.
  • Rossa, A., K. Liechti, M. Zappa, M. Bruen, U. Germann, G. Haase, C. Keil, and P. Krahe , 2011, The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems, Atmospheric Research, 100, 150-167.
  • Spengler, T., J. Egger and S. Garner, 2011, How does rain affect surface pressure in a one-dimensional framework?, J. Atmos. Sci., 68, 347-360.
  • Weissmann, M., F. Harnisch, C.-C. Wu, P.-H. Lin, Y. Ohta, K. Yamashita, Y. Kim, E.-H. Jeon, T. Nakazawa, S. Aberson, 2011, The influence of dropsondes on typhoon track and mid-latitude forecasts, Mon. Wea. Rev., 139, 908-920. (link).
  • Weusthoff, T., D. Leuenberger, C. Keil and G. C. Craig, 2011, Best member selection for convective-scale ensembles, Meteorologische Zeitschrift, 20, 153-164.
  • Zimmer, M., G. C.Craig , C. Keil, H. Wernli , 2011, Classification of precipitation events with a convective response timescale and their forecasting characteristics, Geophys. Res. Lett. , 38, L05802, DOI:10.1029/2010GL046199.

2010

  • Aberson, S., C.-C. Wu, M. Bell, J. Halverson, C. Fogarty, J. Cione and M. Weissmann, 2010, Aircraft observations of tropical cyclones, in Global Perspectives on Tropical Cyclones: From Science to Mitigation, 2nd edition, World Scientific Publishing Company Ltd, J.C.L. Chan and J. Kepert, editors , , pp 227-240. (link).
  • Egger, J. and .K.-P. Hoinka, 2010, Potential temperature and potential vorticity inversion: Complementary approaches, J. Atmos. Sci., 67, 4001-4016.
  • Egger, J. and K.-P. Hoinka, 2010, Stochastic forcing of potential vorticity:observations, J. Atmos. Sci., 68, 1240-1346.
  • Egger, J., and K. P. Hoinka, 2010, Regional contributions to isentropic pressure torques, Monthly Weather Review, 138.4175-4185.
  • Egger, J., and R. Kühnel, 2010, Orographic gravity waves induced by variable mean winds: observations at Hofsjokull, Meteorologische Zeitschrift, 19(1), 101-113.
  • Egger, J., 2010, Motion on a beta-planet, Quarterly Journal of the Royal Meteorological Society, 136, 1851–1854.
  • Pfeifer, M. W. Yen, M. Hagen, G. C. Craig, T. Reinhardt, M. Mech, S. Crewell, A. Hünerbein, J. Fischer, M. Schröder, M. Baldauf and A. Seifert , 2010, Validating precipitation forecasts using sensor synergy: The case study approach, Meteorologische Zeitschrift, 19, 601-617.
  • Pfeiffer, A., and G. Zängl, 2010, Validation of climate-mode MM5-simulations for the European Alpine Region, Theoretical and Applied Climatology, 101, 93-108, DOI: 10.1007/s00704-009-0199-5.
  • Rossa, A., G. Haase, C. Keil, P. Alberoni, S. Ballard, J. Bech,, U. Germann, M. Pfeifer, and K. Salonen, 2010, Propagation of uncertainty from observing systems into NWP: COST-731 Working Group 1, Atmos. Science Letters, 11, 145-152.
  • Schipper, J., B. Früh, A. Pfeiffer, and G. Zängl, 2010, Wind direction-dependent statistical downscaling of precipitation applied to the Upper Danube catchment, International Journal of Climatology, DOI: 10.1002/joc.2084.

2009

  • Dengler, K., C. Keil, M. Frech, T. Gerz, K. Kober, 2009, Comparison and validation of two high-resolution weather forecast models at Frankfurt Airport, Met. Zeitschrift, 18, 531-542.
  • Egger, J., and K. P. Hoinka, 2009, Isotropic pressure and mountain torques, Mon. Wea. Rev., submitted, 137,3047-3054.
  • Egger, J., 2009, Baroclinic instability in the Eady model: interpretations, Journal of the Atmospheric Sciences, 66, 1856-1859.
  • Egger, J., 2009, Baroclinic instability in the two-layer model: interpretations, Meteorologische Zeitschrift, 18, 559-566.
  • Egger, J., 2009, Piecewise potential vorticity inversion and vortex interaction, Journal of the Atmospheric Sciences, 66, 3208-3216.
  • Egger, J., 2009, Time varying flow over mountains: temperature perturbation at the surface, Meteorologische Zeitschrift, 18, 101-106.
  • Gerz, T., F. Holzäpfel, W. Gerling, A. Scharnweber, M. Frech, K. Kober, S. Rahm, 2009, The Wake Vortex Prediction and Monitoring System WSVBS Part II: Performance and ATC Integration at Frankfurt Airport, Air Traffic Control Quarterly, 17, 323-347.
  • Keil, C., and G. C. Craig, 2009, A displacement and amplitude score employing an optical flow technique, Weather and Forecasting, 24, 1297-1308.
  • Kober, K. and A. Tafferner , 2009, Tracking and nowcasting of convective cells using remote sensing data from radar and satellite, Met. Zeitschrift, 1, 75-84.
  • Rotach M.W., P. Ambrosetti, F. Ament, C. Appenzeller, M. Arpagaus, H.S. Bauer, A. Behrendt, F. Bouttier, A. Buzzi, M. Corazza, S. Davolio, M. Denhard, M. Dorninger, L. Fontannaz, J. Frick, F. Fundel, U. Germann, T. Gorgas, C. Hegg, A. Hering, C. Keil, M.A. Liniger, C. Marsigli, R. McTaggart-Cowan, A. Montani, K. Mylne, R. Ranzi, E. Richard, A. Rossa, D. Santos-Muñoz, C. Schär, Y. Seity, M. Staudinger, M. Stoll, H. Volkert, A. Walser, Y. Wang, J. Werhahn, V. Wulfmeyer, M. Zappa , 2009, MAP D-PHASE: Real-time Demonstration of Weather Forecast Quality in the Alpine Region, Bull. Amer. Soc., 90, 1321-1336.
  • Rotach, M., P. Ambrosetti, F. Ament, C. Appenzeller, M. Arpagaus, H. Bauer, A. Behrendt, F. Bouttier, A. Buzzi, M. Corazza, S. Davolio, M. Denhard, M. Dorninger, L. Fontannaz, J. Frick, F. Fundel, U. Germann, T. Gorgas, C. Hegg, A. Hering, C. Keil, M. Liniger, C. Marsigli, R. McTaggart-Cowan, A. Montani, K. Mylne, R. Ranzi, E. Richard, A. Rossa, D. Santos-Muñoz, C. Schär, Y. Seity, M. Staudinger, M. Stoll, H. Volkert, A. Walser, Y. Wang, J. Werhahn, V. Wulfmeyer, and M. Zappa, 2009, Supplement: Additional applications of the D-PHASE data sets, Bulletin of the American Meteorological Society, 90, electronic supplement: 28-32.
  • Spengler, T., and J. Egger, 2009, Comments on'Dry-season prediction in tropical West Africa and its relation to forcing from the extratropics, Mon. Wea. Rev., 137, 3140-3150.
  • Spengler,T., J. Schween, M. Ablinger, G. Zaengl, and J. Egger, 2009, Thermally driven flows at an asymmetric valley exit; observations and model studies at Lech exit, Monthly Weather Review, 137, 3437-3455.

2008

  • Craig, G. C., and A. Dörnbrack, 2008, Entrainment in cumulus clouds: What resolution is cloud-resolving? , J. Atmos. Sci., 65, 3978-3988.
  • Egger, J., and J. Pelkowski, 2008, The first mathematical models of dynamic meteorology: The Berlin Prize contest of 1746, Meteorologische Zeitschrift, 17, 83-91.
  • Egger, J., and K. P. Hoinka, 2008, Montain torque events at the Tibetan Plateau, Monthly Weather Review, 136, 389-404.
  • Egger, J., and K. P. Hoinka, 2008, Mountain torques and synoptic systems in the Mediterranean, Quarterly Journal of the Royal Meteorological Society, 134, 1067-1083.
  • Egger, J., and K. P. Hoinka, 2008, The angular momentum budget of the Transformed Eulerian Mean equations, Journal of the Atmospheric Sciences, 65, 3305–3314.
  • Egger, J., and K. P. Hoinka, 2008, Topographic instability: tests, Journal of the Atmospheric Sciences, 65, 670-680.
  • Egger, J., 2008, Reply, Journal of the Atmospheric Sciences, 65, 3009.
  • Egger, J., 2008, Sensitivity of POPs to data destribution in space, Meteorologische Zeitschrift, 17, 673-677.
  • Trentmann, J., C. Keil, M. Salzmann, C. Barthlott, H.-S. Bauer, T. Schwitalla, M. G. Lowrence, D. Leuenberger, V. Wulfmeyer, U. Corsmeier, C. Kottmeier, and H. Wernli, 2008, Multi-model simulations of a convective situation in mountainous terrain, Meteorology and Atmospheric Physics, 103, 95-103 DOI: 10.1007/s00703-008-0323-6.
  • Wulfmeyer, V., A. Behrendt, H.-S. Bauer, C. Kottmeier, U. Corsmeier, A. Blyth, G. Craig, U. Schumann, M. Hagen, S. Crewell, P. Di Girolamo, C. Flamant, M. Miller, A. Montani, S. Mobbs, E. Richard, M.W. Rotach, M. Arpagaus, H. Russchenberg, P. Schlüssel, M. König, V. Gärtner, R. Steinacker, M. Dorninger, D.D. Turner, T. Weckwerth, A. Hense, and C. Simmer, 2008, The Convective and Orographically-induced Precipitation Study: A Research and Development Project of the World Weather Research Program for improving quantitative precipitation forecasting in low-mountain regions. , Bull. Amer. Meteor. Soc., 89, 1477-1486.
  • Zängl, G., D. Aulehner, C. Wastl, and A. Pfeiffer, 2008, Small-scale precipitation variability in the Alps: Climatology in comparison with semi-idealized numerical simulations, Quarterly Journal of the Royal Meteorological Society, 134, 1865-1880.
  • Zängl, G., 2008, The temperature dependence of small-scale orographic precipitation enhancement, Quarterly Journal of the Royal Meteorological Society, 134, 1167-1181, DOI: 10.1002/qj.267.

2007

  • Baldwin, M. P., M. Dameris and T.G. Shepherd, 2007, How will the Stratosphere affect climate change?, Science, 316(5831), 1576-1577, doi:10.1126/science. 1144303.
  • Bodeker, G.E., H. Garny, D. Smale, M. Dameris, and R. Deckert, 2007, The 1985 southern hemisphere mid-latitude total column ozone anomaly, Atmospheric Chemistry and Physics Discussions, 7, 7137-7169.
  • Braesicke, P., C. Brühl, M. Dameris, R. Deckert, V. Eyring, M.A. Giorgetta, E. Mancini, G. Pilati, J.A. Pyle and B. Steil, 2007, A model intercomparison analysing the link between ozone and geopotential height anomalies in January, Atmospheric Chemistry and Physics Discussions, 7, 15409-15451.
  • Dall'Amico, M. and J. Egger, 2007, Empirical master equations: part I: numerical properties, Journal of the Atmospheric Sciences, 64, 2981-2995.
  • Dall'Amico, M. and J. Egger, 2007, Empirical master equations: part II: Application to stratospheric QBO, solar cycle and northern annular mode, Journal of the Atmospheric Sciences, 64, 2996-3015.
  • Dameris, M. and R. Deckert, 2007, Simulation of long-term evolution of Stratospheric dynamics and chemistry - Role of natural and anthropogenic forcings, in: Climate Variability and Extremes during the Past 100 Years, Advances in Global Change Research, Springer, 33, 390p.
  • Dameris, M., T. Peter, U. Schmidt, and R. Zellner, 2007, Das Ozonloch und seine Ursachen, Chemie in unserer Zeit, 41, 152-168, doi:10.1002/ciuz.200700418.
  • Drobinski, P., R. Steinacker, H. Richter, K. Baumann-Stanzer, G. Beffrey, B. Becech, H. Berger, B. Chimani, A. Dabas, B. Dürr, C. Flamant, M. Frioud, M. Furger, I. Gröhn, S. Gubser, T. Gutermann, C. Häberli, E. Häller-Scharnhorst, G. Jaubert, M. Lothon, V. Mitrev, U. Pechinger, M. Piringer, M. Ratheiser, D. Ruffieux, G. Seiz, M. Spatzierer, S. Tschannett, S. Vogt, R. Werner, and G. Zängl, 2007, Föhn in the Rhine Valley during MAP: a review of its multiscale dynamics in complex valley geometry, Quarterly Journal of the Royal Meteorological Society, 133, 897-916, doi:10.1002/qj.70.
  • Egger, J., K.Weickmann and K.-P- Hoinka, 2007, Angular momentum in the global atmospheric circulation, Reviews of Geophysics, 45, RG4007.
  • Egger, J., and K. P. Hoinka, 2007, Stratosphere - troposphere exchange: a zonal mean perspective of angular momentum, Dynamics of Atmospheres and Oceans, 43, 100-121.
  • Egger, J., and K. Weickmann, 2007, Latitude - high structure of the atmospheric angular momentum cycle associated wuth the Madden-Julian oscillation, Monthly Weather Review, 135, 1564-1575.
  • Egger, J., and K.-P. Hoinka, 2007, Mountain torque events in the Mediterranean, Adv. Geophys., 12, 1-4.
  • Egger, J., 2007, Balanced mass prediction and piecewise potential vorticity inversion, Tellus, submitted,
  • Egger, J., 2007, Counterpropagating Rossby waves and barotropic instability, Meteorologische Zeitschrift, 16, 581-585.
  • Egger, J., 2007, Empirical master equations, Meteorology and Atmospheric Physics, 16, 139-147.
  • Eyring, V., D. W. Waugh, G. E. Dodeker, E. Cordero, H. Akiyoshi, J. Austin, S. R. Beagley, B. Boville, P. Braesicke, C. Brühl, N. Butchart, M. P. Chipperfield, M. Dameris, R. Deckert, M. Deushi, S. M. Frith, R. R. Garcia, A. Gettelman, M. Giorgetta, D. E. Kinnison, E. Mancini, E. Manzini, D. R. Marsh, S. Matthes, T. Nagashima, P. A. Newman, J. E. Nielsen, S. Pawson, D. A. Plummer, G. Pitari, E. Rozanov, M. Schraner, J. F. Scinocca, K. Semeniuk, T. G. Shepherd, K. Shibata, B. Steil, R. Stolarski, W. Tian, and M. Yoshiki, 2007, Multi-model projections of stratospheric ozone in the 21st century, Journal of Geophysical Research, 112, D16303, doi: 10.1029/2006JD008332.
  • Früh, B., J. Bendix, T. Nauss, M. Paulat, A. Pfeiffer, J. W. Schipper, B. Thies, and H. Wernli, 2007, Verification of precipitation from regional climate simulations and remote-sensing observations with respect to ground-based observations in the upper Danube catchment, Meteorologische Zeitschrift, 16/3, 275-293(19).
  • Garny, H., G. E. Bodeker, and M. Dameris, 2007, Trends and variability in stratospheric mixing: 1979-2005, Atmospheric Chemistry and Physics Discussions, 7, 6189-6228.
  • Mayr, G. J., A. Gohm, G. Zängl, L. Armi, D. R. Durran, C. Flamant, S. Gabersek, S. Mobbs, and M. Weissmann, 2007, Gap flows: Results from Mesoscale Alpine Programme, Quarterly Journal of the Royal Meteorological Society, 133(625), 881-896, DOI: 10.1002/qj.66. (link).
  • Müller, R., J.-U. Grooß, C. Lemmen, D. Heinze, M. Dameris, and G. Bodeker, 2007, Simple measures of ozone depletion in the polar stratosphere, Atmospheric Chemistry and Physics Discussions, 7, 9829-9866.
  • Richard, E., A. Buzzi and G. Zängl, 2007, Quantitative precipitation forecasting in mountainous regions: The push ahead obtained by the Mesoscale Alpine Programme (MAP), Quarterly Journal of the Royal Meteorological Society, in press,
  • Wastl, C., and G. Zängl, 2007, Analysis of the climatological precipitation gradient between the Alpine foreland and the northern Alps., Meteorologische Zeitschrift, 16, 541-552.
  • Zängl, G., 2007, The temperature dependence of small-scale orographic precipitation enhancement, Quart. J. Met. Soc., submitted,
  • Zängl, G., A. Gohm, and F. Obleitner, 2007, The impact of the PBL scheme and the vertical model layer setup on simulations of Alpine foehn, Meteorology and Atmospheric Physics, in press,
  • Zängl, G., and M. Hornsteiner, 2007, Can trapped gravity waves be relevant for severe foehn windstorms? A case study, Meteorologische Zeitschrift, 16, 203-212.
  • Zängl, G., and M. Hornsteiner, 2007, The exceptional Alpine foehn event of 14-16 November 2002: A case study, Meteorology and Atmospheric Physics, 16, 203-212.
  • Zängl, G., 2007, An adaptive vertical coordinate formulation for nonhydrostaric model with flux-form equations, Monthly Weather Review, 135, 228-239.
  • Zängl, G., 2007, Interaction between dynamics and cloud microphysics in orographic precipitation enhancement: A case study of two north-Alpine heavy precipitation events, Monthly Weather Review, 135, 2817-2840.
  • Zängl, G., 2007, Reversed flow in the south-Alpine Toce Valley during MAP-IOP 8: Further analysis of latent cooling effects, Quarterly Journal of the Royal Meteorological Society, 133, 1717-1729.
  • Zängl, G., 2007, Small-scale variability of orographic precipitation in the Alps: Case studies and semi-idealized numerical simulations, Quarterly Journal of the Royal Meteorological Society, 133, 1701-1716.
  • Zängl, G., 2007, To what extent does increased model resolution improve simulated precipitation fields? A case study of two north-Alpine heavy-rainfall events, Meteorologische Zeitschrift, 16, 571-580.

2006

  • Brinkop, S., V. Grewe, Ch. Reithmeier, R. Sausen and B. Stapf, 2006, Full Lagragian Transport of Passive Tracers in a Climate Model, Monthly Weather Review, submitted,
  • Drobinski. P., S. Bastin, J. Dusek, G. Zängl, and P.H. Flamant, 2006, Idealized simulations of flow splitting at the bifurcation between two valleys, Meteorology and Atmospheric Physics, 92, 285-306.
  • Egger, J., and K. P. Hoinka, 2006, Dynamics of atmospheric regression patterns: regional mountain torque events, Journal of the Atmospheric Sciences, 63, 1467 - 1482.
  • Egger, J., 2006, Barotropic instability at minimal resolution, Monthly Weather Review, 134, 2943-2950.
  • Egger, J., 2006, The moisture torque, Meteorologische Zeitschrift, 15(6), 671-673.
  • Früh, B., J. W. Schipper, A. Pfeiffer, and V. Wirth, 2006, A pragmatic approach for downscaling precipitation in alpine-scale complex terrain, Meteorologische Zeitschrift, 15, 631-646.
  • Hornsteiner, M., and G. Zängl, 2006, Local foehn effects in the upper Isar Valley, Part II: Modelling, Meteorology and Atmospheric Physics, 91, 63-83.
  • Unterstraßer, S., and G. Zängl, 2006, Cooling by melting precipitation in Alpine Valleys: An idealized numerical modelling study, Quarterly Journal of the Royal Meteorological Society, 132, 1489-1508.
  • Zängl, G., and A. Gohm, 2006, Small-scale dynamics of the föhn in the lower Wipp Valley, Meteorology and Atmospheric Physics, 93, 79-95.
  • Zängl, G., and S. Gonzalez Chico, 2006, The thermal circulation of a grand plateau: Sensitivity to the height, width and shape of the plateau, Monthly Weather Review, 134, 2581-2600.
  • Zängl, G., and S. Vogt, 2006, Valley-wind characteristics in the Alpine Rhine Valley: Measurements with a wind-temperature profiler in comparison with numerical simulations, Meteorologische Zeitschrift, 15, 179-186.
  • Zängl, G., 2006, North foehn in the Austrian Inn Valley: A case study and idealized numerical simulations, Meteorology and Atmospheric Physics, 91, 85-105.