Source: https://www.meteo.physik.uni-muenchen.de/forschung/atmo_dyn/publikationen_atmo_dyn/index.php
Timestamp: 2019-04-24 08:50:52+00:00

Document:
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.
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).
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.
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).
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).
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.
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.
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.
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).
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).
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).
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.
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.
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).
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.
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.
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.
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.
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