Publikationen die innerhalb von HD(CP)² oder in Zusammenarbeit mit dem Projekt entstanden sind.
Aktuelle Veröffentlichungen
Die aktuellen Veröffentlichungen sind hier zu finden.
2017
Acquistapace, C., Kneifel, S., Löhnert, U., Kollias, P., Maahn, M., and Bauer-Pfundstein, M. (2017): Optimizing observations of drizzle onset with millimeter-wavelength radars, Atmos. Meas. Tech., 10, 1783-1802, doi.org/10.5194/amt-10-1783-2017.
Baars, H., Seifert, P., Engelmann, R., and Wandinger, U (2017): Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements, Atmos. Meas. Tech., 10, 3175-3201, https://doi.org/10.5194/amt-10-3175-2017.
Baumgartner, M. and Spichtinger, P. (2017): Diffusional growth of cloud particles: existence and uniqueness of solutions, Theor. Comput. Fluid Dyn., https://link.springer.com/article/10.1007/s00162-017-0437-x
Baumgartner, M. & Spichtinger, P. (2017): Local Interactions by Diffusion between Mixed-Phase Hydrometeors: Insights from Model Simulations. Mathematics of Climate and Weather Forecasting, 3(1), pp. 64-89, https://doi.org/10.1515/mcwf-2017-0004.
Bley, S.; Deneke, H.; Senf, F. and Scheck, L. (2017): Metrics for the evaluation of warm convective cloud fields in a large-eddy simulation with Meteosat images, Quart. J. Roy. Meteor. Soc.143(705), 2050--2060. doi:10.1002/qj.3067.
Ebell, K., U. Löhnert, E. Päschke, E. Orlandi, J. H. Schween, and S. Crewell (2017): A 1-D variational retrieval of temperature, humidity, and liquid cloud properties: Performance under idealized and real conditions, J. Geophys. Res. Atmos., 122, 1746-1766, doi:10.1002/2016JD025945.
Foth, A. and Pospichal, B. (2017): Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer, Atmos. Meas. Tech., 10, 3325-3344, doi:10.5194/amt-2017-77.
Gantner, L., Maurer, V., Kalthoff, N., and Kiseleva, O. (2017): The Impact of Land-Surface Parameter Properties and Resolution on the Simulated Cloud-Topped Atmospheric Boundary Layer, Boundary Layer Meteorology, doi:10.1007/s10546-017-0286-6.
Günther, T., Kuhn, A., Hege, H. C., Gross, M., & Theisel, H. (2017). Progressive Monte Carlo rendering of atmospheric flow features across scales. Physical Review Fluids, 2(9), 090502, doi:https://doi.org/10.1103/PhysRevFluids.2.090502
Heinze, R., Moseley, C., Böske, L. N., Muppa, S. K., Maurer, V., Raasch, S., and Stevens, B. (2017): Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign, Atmos. Chem. Phys., 17, 7083-7109, doi:10.5194/acp-17-7083-2017.
Jakub, F. and Mayer, B. (2017): The Role of 1D and 3D Radiative Heating on the Organization of Shallow Cumulus Convection and the Formation of Cloud Streets, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-415, in review.
Klinger, C., Mayer, B., Jakub, F., Zinner, T., Park, S.-B., and Gentine, P. (2017): Effects of 3-D thermal radiation on the development of a shallow cumulus cloud field, Atmos. Chem. Phys., 17, 5477-5500, doi:10.5194/acp-17-5477-2017.
Klocke, D., Brueck, M., Hohenegger, C., & Stevens, B. (2017): Rediscovery of the doldrums in storm-resolving simulations over the tropical Atlantic. Nature Geoscience, 10(12), 891, doi:10.1038/s41561-017-0005-4.
Macke, A., Seifert, P., Baars, H., Beekmans, C., Behrendt, A., Bohn, B., Bühl, J., Crewell, S., Damian, T., Deneke, H., Düsing, S., Foth, A., Di Girolamo, P., Hammann, E., Heinze, R., Hirsikko, A., Kalisch, J., Kalthoff, N., Kinne, S., Kohler, M., Löhnert, U., Madhavan, B. L., Maurer, V., Muppa, S. K., Schween, J., Serikov, I., Siebert, H., Simmer, C., Späth, F., Steinke, S., Träumner, K., Wehner, B., Wieser, A., Wulfmeyer, V., and Xie, X. (2017): The HD(CP)2 Observational Prototype Experiment HOPE – An Overview, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-990.
Poll, S., Shrestha, P., and Simmer, C. (2017): Modelling convectively induced secondary circulations in the terra incognita with TerrSysMP., Q.J.R. Meteorol. Soc., doi:10.1002/qj.3088.
Rempel, M.; Senf, F. and Deneke, H. (2017): Object-Based Metrics for Forecast Verification of Convective Development with Geostationary Satellite Data, Mon. Wea. Rev.145(8), 3161-3178, https://doi.org/10.1175/MWR-D-16-0480.1.
Sakurai, D., Hege, H. C., Kuhn, A., Rust, H., Kern, B., and Breitkopf, T. L. (2017): An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences. In 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV) (pp. 96-97). A pdf can be obtained 
here.
Senf, F. and Deneke, H. (2017): Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics, Atmos. Res.183, 113-129, https://doi.org/10.1016/j.atmosres.2016.08.012.
Senf, F. and Deneke, H. (2017): Satellite-based characterization of convective growth and glaciation properties in relation to precipitation formation over Central Europe, J. Appl. Meteor. Climatol.56, 1827-1845, https://doi.org/10.1175/JAMC-D-16-0293.1.
Spreitzer, E. J., Marschalik, M. P., and Spichtinger, P. (2017): Subvisible cirrus clouds – a dynamical system approach, Nonlin. Processes Geophys., 24, 307-328, doi.org/10.5194/npg-24-307-2017.
2016
Baars, H., Kanitz, T., Engelmann, R., Althausen, D., Heese, B., Komppula, M., Preißler, J., Tesche, M., Ansmann, A., Wandinger, U., Lim, J.-H., Ahn, J. Y., Stachlewska, I. S., Amiridis, V., Marinou, E., Seifert, P., Hofer, J., Skupin, A., Schneider, F., Bohlmann, S., Foth, A., Bley, S., Pfüller, A., Giannakaki, E., Lihavainen, H., Viisanen, Y., Hooda, R. K., Pereira, S. N., Bortoli, D., Wagner, F., Mattis, I., Janicka, L., Markowicz, K. M., Achtert, P., Artaxo, P., Pauliquevis, T., Souza, R. A. F., Sharma, V. P., van Zyl, P. G., Beukes, J. P., Sun, J., Rohwer, E. G., Deng, R., Mamouri, R.-E., and Zamorano, F. (2016): An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling, Atmos. Chem. Phys., 16, 5111-5137, doi:10.5194/acp-16-5111-2016.
Baldauf, M. and Brdar, S. (2016): 3D diffusion in terrain-following coordinates: testing and stability of horizontally explicit, vertically implicit discretizations. Q.J.R. Meteorol. Soc., 142, 2087–2101, doi:10.1002/qj.2805.
Barrera-Verdejo, M., Crewell, S., Löhnert, U., Orlandi, E., and Di Girolamo, P. (2016): Ground Based Lidar and Microwave Radiometry Synergy for High Vertical Resolution Absolute Humidity Profiling, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2016-46.
Bley, S., Deneke, H., and Senf, F. (2016): Meteosat-Based Characterization of the Spatio-temporal Evolution of Warm Convective Cloud Fields over Central Europe, J. Appl. Meteor. Climatol., 55, 2181–2195, doi:10.1175/JAMC-D-15-0335.1.
Bühl, J., Seifert, P., Myagkov, A., and Ansmann, A. (2016): Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station, Atmos. Chem. Phys., 16, 10609-10620, doi:10.5194/acp-16-10609-2016.
Corbetta, G., E. Orlandi, T. Heus, R. Neggers, and S. Crewell (2015): Overlap statistics of shallow boundary layer clouds: Comparing ground-based observations with large-eddy simulations, Geophys. Res. Lett., 42, 8185-8191, doi:10.1002/2015GL065140.
Hande, L. B., Engler, C., Hoose, C., and Tegen, I. (2016): Parameterizing cloud condensation nuclei concentrations during HOPE, Atmos. Chem. Phys., 16, 12059-12079, doi:10.5194/acp-16-12059-2016.
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. (2016): Large-eddy simulations over Germany using ICON: A comprehensive evaluation. Q.J.R. Meteorol. Soc., doi:10.1002/qj.2947
Heinze, R., Moseley, C., Böske, L. N., Muppa, S., Maurer, V., Raasch, S., and Stevens, B. (2016): Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-498.
Jakub, F. and Mayer, B. (2016): 3-D radiative transfer in large-eddy simulations – experiences coupling the TenStream solver to the UCLA-LES, Geosci. Model Dev., 9, 1413-1422, doi:10.5194/gmd-9-1413-2016.
Günther, T., Kuhn, A., Hege, H. C., and Theisel, H. (2016): MCFTLE: Monte Carlo Rendering of Finite-Time Lyapunov Exponent Fields. Find a copy here.
Kärcher, B. and Seifert, A. (2016): On homogeneous ice formation in liquid clouds, Q.J.R. Meteorol. Soc., 142: 1320–1334. doi:10.1002/qj.2735.
Kern, B. and Jöckel, P. (2016): A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50), Geosci. Model Dev., 9, 3639-3654, doi:10.5194/gmd-9-3639-2016.
Merk, D., Deneke, H., Pospichal, B., and Seifert, P. (2016): Investigation of the adiabatic assumption for estimating cloud micro- and macrophysical properties from satellite and ground observations, Atmos. Chem. Phys., 16, 933-952, doi:10.5194/acp-16-933-2016.
Moseley, C., Hohenegger, C., Berg, P., Haerter, J.O. (2016): Intensification of convective extremes driven by cloud-cloud interaction, Nature Geoscience, doi:10.1038/ngeo2789.
Muppa, S. K., Behrendt, A., Späth, F., Wulfmeyer, V., Metzendorf, S., and Riede, A. (2016). Turbulent humidity fluctuations in the convective boundary layer: Case studies using water vapour differential absorption lidar measurements, Boundary-Layer Meteoro, 158(1), 43-66, doi:10.1007/s10546-015-0078-9.
Senf, F. and Deneke, H. (2017): Uncertainties in synthetic Meteosat SEVIRI infrared brightness temperatures in the presence of cirrus clouds and implications for evaluation of cloud microphysics, Atmos.Res., 183, 113-129, http://dx.doi.org/10.1016/j.atmosres.2016.08.012
Stamnas, E., Lammert, A., Winkelmann, V., and Lang, U. (2016): The HD(CP)² Data Archive for Atmospheric Measurement Data, ISPRS Int. J. Geo-Inf., 5(7), 124, doi:10.3390/ijgi5070124.
Veröffentlichungen der ersten Förderperiode
2015
Barrera-Verdejo, M., Crewell, S., Löhnert, U., Orlandi, E., and Di Girolamo, P. (2015): Ground based lidar and microwave radiometry synergy for high vertically resolved thermodynamic profiling, Atmos. Meas. Tech. Discuss., 8, 5467-5509, doi:10.5194/amtd-8-5467-2015.
Behrendt, A., Wulfmeyer, V., Hammann, E., Muppa, S. K., and Pal, S. (2015): Profiles of second- to fourth-order moments of turbulent temperature fluctuations in the convective boundary layer: first measurements with rotational Raman lidar, Atmos. Chem. Phys., 15, 5485-5500, doi:10.5194/acp-15-5485-2015.
Carbajal Henken, C. K., H. Diedrich, R. Preusker, and J. Fischer (2015), MERIS full-resolution total column water vapor: Observing horizontal convective rolls, Geophys. Res. Lett., 42, 10,074–10,081, 
doi:10.1002/2015GL066650.
Carbajal Henken, C. K., Doppler, L., Lindstrot, R., Preusker, R., and Fischer, J. (2015): Exploiting the sensitivity of two satellite cloud height retrievals to cloud vertical distribution, Atmos. Meas. Tech., 8, 3419-3431, doi.org/10.5194/amt-8-3419-2015.
Diedrich, H., Preusker, R., Lindstrot, R., and Fischer, J. (2015): Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces, Atmos. Meas. Tech., 8, 823-836, doi:10.5194/amt-8-823-2015.
Dipankar, A., B. Stevens, R. Heinze, C. Moseley, G. Zängl, M. Giorgetta, and S. Brdar (2015): Large eddy simulation using the general circulation model ICON, J. Adv. Model. Earth Syst., 07, doi:10.1002/2015MS000431.
Eikenberg, S., Köhler, C., Seifert, A., and S. Crewell (2015): How microphysical choices affect simulated infrared brightness temperatures, Atmos. Res., Volume 156, Pages 67-79, ISSN 0169-8095, http://dx.doi.org/10.1016/j.atmosres.2014.12.010.
Foth, A., Baars, H., Di Girolamo, P., and Pospichal, B. (2015): Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE, Atmos. Chem. Phys., 15, 7753-7763, doi:10.5194/acp-15-7753-2015.
Hammann, E., Behrendt, A., Le Mounier, F., and Wulfmeyer, V. (2015): Temperature profiling of the atmospheric boundary layer with rotational Raman lidar during the HD(CP)2 Observational Prototype Experiment, Atmos. Chem. Phys., 15, 2867-2881, doi:10.5194/acp-15-2867-2015.
Hande, L. B., Engler, C., Hoose, C., and Tegen, I. (2015): Seasonal variability of Saharan desert dust and ice nucleating particles over Europe, Atmos. Chem. Phys., 15, 4389-4397, doi:10.5194/acp-15-4389-2015.
Hollstein, A., Fischer, J., Carbajal Henken, C., and Preusker, R (2015). Bayesian cloud detection for MERIS, AATSR, and their combination, Atmos. Meas. Tech., 8, 1757-1771, doi.org/10.5194/amt-8-1757-2015.
Jakub, F. and Mayer, B. (2015): A three-dimensional parallel radiative transfer model for atmospheric heating rates for use in cloud resolving models- The Ten Stream solver, J. Quant. Spectr. Rad. Trans., Volume 163, Pages 63-71, ISSN 0022-4073, http://dx.doi.org/10.1016/j.jqsrt.2015.05.003.
Klinger, C., Mayer, B. (2015): The Neighboring Column Approximation (NCA) - A fast approach for the calculation of 3D thermal heating rates in cloud resolving model, Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 168, January 2016, Pages 17-28, doi.org/10.1016/j.jqsrt.2015.08.020.
Kuhn, A., Engelke, W., Flatken, M., Hege, H. C., and Hotz, I. (2015). Topology-based Analysis for Multimodal Atmospheric Data of Volcano Eruptions, Topology-based Methods in Visualization. Find a copy here.
Löhnert, U., J. H. Schween, C. Acquistapace, K. Ebell, M. Maahn, M. Barrera-Verdejo, A. Hirsikko, B. Bohn, A. Knaps, E. O’Connor, C. Simmer, A. Wahner, and S. Crewell (2015): JOYCE: Jülich Observatory for Cloud Evolution. Bulletin of the American Meteorological Society, 96:7, 1157-117, http://dx.doi.org/10.1175/BAMS-D-14-00105.1
Päschke, E., Leinweber, R., and Lehmann, V. (2015): An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251-2266, doi:10.5194/amt-8-2251-2015.
Rosch, J., Heus, T., Brueck, M., Salzmann, M., Mülmenstädt, J., Schlemmer, L. and Quaas, J. (2015): Analysis of diagnostic climate model cloud parametrizations using large-eddy simulations. Q.J.R. Meteorol. Soc., 141: 2199–2205. doi: 10.1002/qj.2515.
Sourdeval, O., C.-Labonnote, L., Baran, A. J. and Brogniez, G. (2015): A methodology for simultaneous retrieval of ice and liquid water cloud properties. Part I: Information content and case study. Q.J.R. Meteorol. Soc., 141: 870–882. doi: 10.1002/qj.2405
Steinke, S., Eikenberg, S., Löhnert, U., Dick, G., Klocke, D., Di Girolamo, P., and Crewell, S. (2015): Assessment of small-scale integrated water vapour variability during HOPE, Atmos. Chem. Phys., 15, 2675-2692, doi:10.5194/acp-15-2675-2015.
van Stratum, B. J. H. and B. Stevens (2015): The influence of misrepresenting the nocturnal boundary layer on idealized daytime convection in large-eddy simulation, J. Adv. Model. Earth Syst. 7, 423-436, doi: 10.1002/2014MS000370.
Träumner, K., Damian, T., Stawiarski, C., and Wieser, A. (2015): Turbulent structures and coherence in the atmospheric surface layer, Bound.-Lay. Met., 154(1), 1-25, doi:10.1007/s10546-014-9967-6.
Xie, X., Crewell, S., Löhnert, U., Simmer, C., and Miao, J. (2015): Polarization signatures and brightness temperatures caused by horizontally oriented snow particles at microwave bands: Effects of atmospheric absorption, J. Geophys. Res. Atmos., 120(12), 6145-6160, doi: 10.1002/2015JD023158.
Zängl, G., Reinert, D., Rípodas, P., and Baldauf, M. (2015): The ICON (ICOsahedral Non-hydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core, Q.J.R. Meteorol. Soc., 141, 563–579, doi:10.1002/qj.2378.
2014
Carbajal-Henken, C. K., Lindstrot, R., Preusker, R., and Fischer, J. (2014): FAME-C: cloud property retrieval using synergistic AATSR and MERIS observations, Atmos. Meas. Tech., 7, 3873-3890, doi:10.5194/amt-7-3873-2014.
Kärcher, B., Dörnbrack, A., & Sölch, I. (2014): Supersaturation variability and cirrus ice crystal size distributions, J. Atmos. Sc., 71(8), 2905-2926, doi:http://dx.doi.org/10.1175/JAS-D-13-0404.1.
Klinger, C. and Mayer, B. (2014): Three-dimensional Monte Carlo calculation of atmospheric thermal heating rates, J. Quant. Spectr. Rad. Trans., Volume 144, Pages 123-136, ISSN 0022-4073, doi:10.1016/j.jqsrt.2014.04.009