Universität Hamburg - der Forschung, der Lehre, der Bildung, zur Homepage
MI
Meteorologisches Institut

Foto: NARVAL Mission 2013/14, UHH and MPI-M

Prof. Dr. Felix Ament

ament-felix-135x180

Studiengangsleiter

Anschrift

Universität Hamburg
Erdsystemwissenschaften
Meteorologisches Institut
Bundesstr. 55
20146 Hamburg

Büro

Geomatikum
Raum: 1635

Kontakt

Tel.: +49 40 42838-3597

  • Leiter der Arbeitsgruppe "Atmosphärenmessungen und Prozessmodellierung" am Meteorologischen Institut der Universität Hamburg
  • Co-Leiter der Arbeitsgruppe "Boundary Layer Measuring and Modeling" am Max-Planck-Institut für Meteorologie (MPI-M)
  • Co-Leiter des Integrated Climate Data Center (ICDC) am Centrum für Edrsystemforschung und Nachhaltigkeit (CEN)

Wissenschaftlicher Werdegang

since 2012 Universitätsprofessor an der Universität Hamburg
2008-2012 Juniorprofessor
2006-2008 Postdoc an der MeteoSwiss, Switzerland:
Projektwissenschaftler"MAP D-PHASE"
2005-2006 Projektwissenschaftler  an der LMU München und der Universität zu Köln:
QUEST (Quantitative Evaluation of Regional Precipitation Forecasts Using Multi-Dimensional Remote Sensing Observations)
2001-2005 Projektwissenschaftler an der Universität Bonn:
WABIMO (development of a Soil Water Balance Model, contract by German Weather Service)
4D-CLOUDS (analysis of four dimensional cloud structures)
EVA-GRIPS (Evaporation at the grid/pixel scale over Heterogeneous Land Surfaces)
CLIWANET (Cloud Liquid Water Network)
2001 Visiting scientist am KNMI, Niederlande:
CLIWANET (Cloud Liquid Water Network)
 
2006 Promotion (Meteorologie) an der Universität Bonn:
"Energy and moisture exchange processes over heterogeneous land-surfaces in a weather prediction model"
2001 Diplom (Meteorologie) an der Universität Bonn:
"Initialisierung von Wolken aus Meteosat Beobachtungen im Lokal-Modell"

Publikationen

  • Lengfeld, K., M. Clemens, C. Merker, H. Münster and F. Ament, 2016: A Simple Method for Attenuation Correction in Local X-Band Radar Measurements Using C-Band Radar Data, Journal of Atmospheric and Oceanic Technology, 33 (11), pp. 2315-2329
  • Wiesner, S., A. Groengroeft, F. Ament and A. Eschenbach, 2015: Spatial and temporal variability of urban soil water dynamics observed by a soil monitoring network, Journal of Sediments and Soil, 16 (11), pp. 2523-2537 
  • Lammert, A. and F. Ament, 2015: CO2-flux measurements above the Baltic Sea at two heights: flux gradients in the surface layer? Earth System Science Data, 7 (2), pp. 311-317
  • Lammert, A. and F. Ament,  2015: Capabilities and uncertainties of aircraft measurements for the validation of satellite precipitation products - a virtual case study, Meteorologische Zeitschrift, 24 (5), pp. 495-502
  • Merker, C., G. Peters, M. Clemens, K. Lengfeld and F. Ament, 2015: A novel approach for absolute radar calibration: formulation and theoretical validation, Atmosph. Measurem. Techn., 8 (6), pp. 2521-2530 
  • Mech, M., Orlandi, E., Crewell, S., Ament, F., Hirsch, L., Hagen, M., Peters, G., and Stevens, B, 2014: HAMP – the microwave package on the High Altitude and LOng range research aircraft (HALO), Atmos. Meas. Tech., 7, 4539-4553, doi:10.5194/amt-7-4539-2014,
  • Lengfeld, K., M. Clemens, H. Münster and F. Ament, 2014: Performance of High-Resolution X-band Weather Radar Networks - the PATTERN Example, Atmosph. Measurem. Techn., 7(12), pp. 4151-4166
  • Wiesner, S., A. Eschenbach, and F. Ament, 2014: Urban air temperature anomalies and their relation to soil moisture observed in the city of Hamburg, Meteorologische Zeitschrift, Vol. 23 (2) , pp. 143-157
  • Grutzun, V, J. Quaas, CJ Morcrette and F. Ament, 2013: Evaluating statistical cloud schemes: What can we gain from ground-based remote sensing?, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES Vol. 118 (18), 10507-10517 DOI: 10.1002/jgrd.50813
  • Tetzlaff, A., Kaleschke, L., Luepkes, C. Ament, F. Vihma, T. (2013): The impact of heterogeneous surface temperatures on the 2-m air temperature over the Arctic Ocean under clear skies in spring, Cryosphere, Vol. 7(1), pp. 153-166
  • Schomburg, A., V. Venema, F. Ament and C. Simmer, 2012: Disaggregation of screen-level variables in a numerical weather prediction model with an explicit simulation of subgrid-scale land-surface heterogeneity, Meteorology and Atmospheric Physics Vol. 116 (3-4), pp. 81-94
  • Hermans, A., Ament, F., Geyer, B, Matthias, V., Quante, M. Rockel, B.(2012): Evaluation of Humidity, Clouds and Precipitation in COSMO-CLM and MM5 over Germany, Meteorologische Zeitschrift, Vol. 21(5), pp. 487-502
  • Schomburg, A., V. Venema, F. Ament, C. Simmer, 2012: Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model, QJRMS, 138 (662): 91-102
  • Lengfeld, K. and F. Ament, 2012: Observing Local-Scale Variability of Near-Surface Temperature and Humidity Using a Wireless Sensor Network, Journal of Applied Meteorology and Climatology, 51 (1), 30-41
  • Bechtel, B; Langkamp, T; Ament, F; Bohner, J; Daneke, C; Gunzkofer, R; Leitl, B; Ossenbrugge, J; Ringeler, A. 2011. Towards an urban roughness parameterisation using interferometric SAR data taking the Metropolitan Region of Hamburg as an example. Meteorologische Zeitschrift 20 (1): 29-37.
  • Ament, F., T. Weusthoff and M. Arpagaus, 2011: Evaluation of MAP D-PHASE heavy precipitation alerts in Switzerland during summer 2007, Atmospheric Research, 100 (2-3): 178-189.
  • Schomburg, A., V. Venema, R. Lindau, F. Ament and C. Simmer, 2010: A downscaling scheme for atmospheric variables to drive soil-vegetation-atmosphere transfer models, Tellus A, 4 (62), 242-258
  • Weusthoff, T., F. Ament, M. Arpagaus, M. W. Rotach, 2010: Assessing the benefit of convection permitting models by Fuzzy Verification - examples from MAP D-PHASE, MWR, 9 (138), 3418-3433
  • Rotach MW, Ambrosetti P, Ament F, Appenzeller C, Arpagaus M, Bauer HS, Behrendt A, Bouttier F, Buzzi A, Corazza M, Davolio S, Denhard M, Dorninger M, Fontannaz L, Frick J, Fundel F, Germann U, Gorgas T, Hegg C, Hering A, Keil C, Liniger MA, Marsigli C, McTaggart-Cowan R, Montani A, Mylne K, Ranzi R, Richard E, Rossa A, Santos-Muñoz D, Schär C, Seity Y, Staudinger M, Stoll M, Volkert H, Walser A, Wang Y, Werhahn J, Wulfmeyer V, Zappa M: 2009: MAP D-PHASE: Real-time Demonstration of Weather Forecast Quality in the Alpine Region, Bulletin American Meteorol Soc, (90) 9, pp 1321-
  • Grasselt, R., K. Warrach-Sagi, D. Schüttemeyer, F. Ament and C. Simmer, 2008: Influence of precipitation forcing on discharge simulation in the Sieg catchment, Meteorologische Zeitschrift, 6 (17), 763-773
  • Warrach-Sagi, K., V. Wulfmeyer, R. Graßelt, F. Ament and C. Simmer, 2008: Coupled simulations of the land surface model TERRA-ML with a river routing scheme reveal the impact of the soil parameterization on the water balance, Meteorologische Zeitschrift, 6 (17), 751-752
  • Zappa, M., M. W. Rotach, M. Arpagaus, M. Dorninger, C. Hegg, A. Montani, R. Ranzi, F. Ament , U. Germann, G. Grossi, S. Jaun, A. Rossa, S. Vogt, A. Walser, C. Wunram, 2008: MAP D-PHASE: Real-time demonstration of hydrological ensemble prediction systems, Atmospheric Science Letters, 9 (2), 80-87Venema, V., A. Schomburg, F. Ament and C. Simmer, 2007: Two adaptive radiative transfer schemes for numerical weather prediction models, Atmospheric Chemistry and Physics, 7 (21): 5659-5674
  • Thiele, A., F. Ament, and C. Simmer, 2007: Hyperspectral Radiative Transfer Modelling Using the Southern Great Plains 1999 Experiment Data Set, Meteorologische Zeitschrift, 16 (2), 149-158
  • Venema, V., F. Ament, and C. Simmer, 2006: A Stochastic Iterative Amplitude Adapted Fourier Transform Algorithm with improved accuracy, Nonlinear Processes in Geophysics, 13 (3)
  • H.-T. Mengelkamp, F. Beyrich, G. Heinemann, F. Ament, J. Bange, F. Berger, J. Bösenberg, T. Foken, B. Hennemuth, C. Heret, S. Huneke, K.-P. Johnsen, W. Kohsiek, J.-P. Leps, C. Liebethal, H. Lohse, M. Mauder, W. Meijninger, S. Raasch, C. Simmer, T. Spieß, A. Tittebrand, J. Uhlenbrock, and P. Zittel, 2006: Evaporation over a heterogeneous land surface: The EVA_GRIPS project, Bulletin of the American Meteorological Society, 87, 775-786
  • Ament, F. and C. Simmer, 2006: Improved Representation of Land-Surface Heterogeneity in a Non-Hydrostatic Numerical Weather Prediction Model, Boundary-Layer Meteorology, 121, 153-174
  • van Lipzig, N., M. Schröder, S. Crewell, F. Ament, J.-P. Chaboureau, U. Löhnert, V. Matthias, E. van Meijgaard, M. Quante, U. Willén, and W. Yen, 2006: Comparison of model predicted low-level cloud parameters with observations from the BALTEX-Bridge Campaign, Atmospheric Research, v. 82, iss. 1-2, p. 55-82
  • M. Schröder, N. van Lipzig, F. Ament, J.-P. Chaboureau, S. Crewell, U. Löhnert, V. Matthias, E. van Meijgaard, M. Quante, U. Willén, and W. Yen, 2006: Comparison of model predicted low-level cloud parameters with satellite remote sensing observations during two days of the BALTEX Bridge Campaigns, Atmospheric Research, v. 82, iss. 1-2, p. 83-101.
  • Ament, F., S. Crewell, and C. Simmer, 2004: Impact of horizontal model resolution on cloud parameters forecasted by a non-hydrostatic mesoscale model, Proceedings of the 14th International Conference on Clouds and Precipitation, Bologna, July 2004, 1883-1886
  • Meetschen, D., B. van den Hurk, F. Ament, and M. Drusch, 2004: Optimized surface radiation fields derived from Meteosat imagery and a regional atmospheric model, Journal of Hydrometeorology, 1091-1101
  • Ament, F., 2003: Contribution to WP4200 in "CLIWA-NET - Baltex Bridge Cloud Liquid Water Network", Editors S. Crewell, C. Simmer, A. Feijt, E. van Meijgaard, International BALTEX Sectretariat Publication No. 26
  • Ament, F., G. Haase and C. Simmer, 2001: Intialisierung von Wolken im Lokal-Modell aus Meteosatdaten, DACH-MT, Österr. Beitr. Meteorol. und Geophysik, Heft 27.Göber, M., R. Hagenbrock, F. Ament and A. Hense, 2003: Comparing mass consistent atmospheric budgets on an irregular grid: an arctic example. Q. J. R. Met. Soc., 129, 2383-2400, Part A, July 2003

Forschungsschwerpunkte

  • Landoberflächenprozesse
  • Atmosphärische Grenzschicht
  • Bodengebundene Fernerkundung von Niederschlag und Wolken
  • Modellevaluierung und Datenassimaltion