Weather Forecasts and Data Assimilation
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Wulfmeyer, V., H.-S. Bauer, M. Grzeschik, A. Behrendt, F. Vandenberghe, E.V. Browell, S. Ismail, and R. Ferrare, 2006: 4-dimensional variational assimilation of water-vapor differential absorption lidar data: The first case study within IHOP_2002. Mon. Wea. Rev. 134, 209-230, DOI:10.1175/2007JTECHA974.1.
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Bauer, H.-S., V. Wulfmeyer, and L. Bengtsson, 2008: The representation of synoptic-scale weather systems in a thermodynamically adjusted version of the ECHAM4 general circulation model. Meteorol. Atmos. Phys. 99, 129-153, DOI:10.1007/s00703-007-0275-2.
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Grzeschik, M., H.-S. Bauer, and V. Wulfmeyer, 2008: Four-dimensional variational analysis of water-vapor Raman lidar data and their impact on mesoscale forecasts. J. Atmos. Oceanic Technol. 25, 1437-1453, DOI:10.1175/2007JTECHA974.1.
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Zus, F., M. Grzeschik, H.-S. Bauer, and V. Wulfmeyer, 2008: Development and optimization of the IPM MM5 GPS slant path 4DVAR system. Meteorol. Z. 17, 867-885, DOI:10.1127/0941-2948/2008/0339.
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Schwitalla, T., G. Zängl, H.-S. Bauer, and V. Wulfmeyer, 2008: Systematic errors of QPF in low-mountain regions as revealed by MM5 simulations. Meteorol. Z. 17, 903-919, DOI:10.1127/0941-2948/2008/0338.
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Trentmann, J., C. Keil, M. Salzmann, C. Barthlott, H.-S. Bauer, T. Schwitalla, M. G. Lawrence, D. Leuenberger, V. Wulfmeyer, U. Corsmeier, Ch. Kottmeier, and H. Wernli, 2009: Multi-model simulations of a convective situation in low-mountain terrain in central Europe. Meteorol. Atmos. Phys. 103, 95-103, DOI:10.1007/s0073-008-0323-6.
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Bauer, H.-S., V. Wulfmeyer, T. Schwitalla, F. Zus, and M. Grzeschik, 2011: Operational assimilation of GPS slant path delay measurements into the MM5 4DVAR system. Tellus A 63, 263-282, DOI:10.1111/j.1600-0870.2010.00489.x.
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Bauer, H.-S., T. Weusthoff, M. Dorninger, V. Wulfmeyer, T. Schwitalla, T. Gorgas, M. Arpagaus, and K. Warrach-Sagi, 2011: Predictive Skill of a Subset of the D-PHASE Multi-Model Ensemble in the COPS Region. Q. J. Roy. Meteor. Soc. 137, 287-305, DOI: 10.1002/qj.715.
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Schwitalla, T., H.-S. Bauer, V. Wulfmeyer, and F. Aoshima, 2011: High-resolution simulation over central Europe: Assimilation experiments with WRF 3DVAR during COPS IOP9c. Q. J. Roy. Meteor. Soc. 137, 156-175, DOI:10.1002/qj.721.
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Zus, F., J. Wickert, H.-S. Bauer, T. Schwitalla, and V. Wulfmeyer, 2011: Experiments of GPS slant path data assimilation with an advanced MM5 4DVAR system. Meteorol. Z. 20, 173-184, DOI:10.1127/0941-2948/2011/0232.
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Schwitalla, T., and V. Wulfmeyer, 2014: Radar data assimilation experiments using the IPM WRF Rapid Update Cycle. Meteorol. Z. 23, 79-102, DOI:10.1127/0941-2948/2014/0513.
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Bauer, H.-S., T. Schwitalla, V. Wulfmeyer, A. Bakhshaii, U. Ehret, M. Neuper, and O. Caumont, 2015: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF - a performance test. Tellus A 67, 25047, DOI:10.3402/tellusa.v67.25047.
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Adam, S., A. Behrendt, T. Schwitalla, E. Hammann, and V. Wulfmeyer, 2016: First assimilation of temperature lidar data into a numerical weather prediction model: Impact on the simulation of the temperature field, inversion strength, and planetary boundary layer depth. Q. J. Roy. Meteor. Soc. 142, 2882–2896, DOI:10.1002/qj.2875.
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Heinze, R., A. Dipankara, C. Carbajal Henken, C. Moseley, O. Sourdevale, S. Trömel, X. Xief, P. Adamidis, F. Ament, H. Baars, C. Barthlott, A. Behrendt, U. Blahak, S. Bley, S. Brdar, M. Bruecke, S. Crewell, H. Deneke, P. Di Girolamo, R. Evaristo, J. Fischer, C. Frank, P. Friederichs, T. Göckel, K. Gorges, L. Hande, M. Hanke, A. Hansen, H.-C. Hege, C. Hoose, T. Jahns, N. Kalthoff, D. Klockel, S. Kneifel, P. Knippertz, A. Kuhn, T. van Laar, A. Macke, V. Maurer, B. Mayer, C.I. Meyer, S.K. Muppa, R.A.J. Neggers, E. Orlandi, F. Pantillon, B. Pospichal, N. Röberg, L. Scheck, A. Seifert, P. Seifert, F. Senf, P. Siligam, C. Simmer, S. Steinke, B. Stevens, K. Wapler, M. Weniger, V. Wulfmeyer, G. Zängl, D. Zhangl, and J. Quaas, 2017: Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Q. J. Roy. Meteor. Soc. 143, 69-100, DOI:10.1002/qj.2947.
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Geisinger, A., A. Behrendt, V. Wulfmeyer, J. Strohbach, J. Förstner, and R. Potthast, 2017: Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation. Atmos. Meas. Tech. 10, 4705-4726, DOI:10.5194/amt-10-4705-2017.
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Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018: Comparison of forward operators for polarimetric radars aiming for data assimilation. J. Meteor. Soc. Japan 96A, 157-174, DOI:10.2151/jmsj.2018-017.
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Kawabata, T., T. Schwitalla, A. Adachi, H.-S. Bauer, V. Wulfmeyer, N. Nagumo, and H. Yamauchi, 2018: Observational operators for dual polarimetric radars in variational data assimilation systems. Geosci. Model Dev. 11, 2493-2501, DOI:10.5194/gmd-2018-43.
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Wehbe, Y., M. Temimi, M. Weston, N. Chaouch, O. Branch, T. Schwitalla, V. Wulfmeyer, X. Zhan, J. Liu, and A. Al Mandous, 2019: Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data. Nat. Hazards Earth Syst. Sci. 19, 1129–1149, DOI:10.5194/nhess-19-1129-2019.