DKRZ Project

834: HD(CP)² Module M (Modelling)

Principal investigator: Bjorn Stevens

Max-Planck-Institut für Meteorologie (Community project)

Report 1/2013 to 12/2013
Report 1/2015 to 12/2015
Report 1/2016 to 12/2016
Report 1/2017 to 12/2017
Report 1/2018 to 12/2018
Report 1/2019 to 12/2019
Report 1/2020 to 12/2020
Report 1/2021 to 12/2021
Report 1/2022 to 12/2022
Report 1/2023 to 12/2023

Publications

Papavasileiou, G., Voigt, A., Knippertz, P., Simpson, I., Medeiros, B. (2020): The role of diabatic processes for the dynamics of the North Atlantic Oscillation on synoptic time-scales in ICON and CAM, in preparation
Poll S., 2021, Land Surface Heterogeneity Effects on Boundary Layer Structure in Climate Simulations, PhD thesis, in progress
DOI: 10.1175/JCLI-D-20-0073.1, Albern, N., A. Voigt, D. W. J. Thompson, and J. G. Pinto (2020). The role of tropical, midlatitude, and polar cloud-radiative changes for the midlatitude circulation response to global warming. J Clim 33 (18)
Verma, P.: Contrail formation within cirrus and their impact on cirrus cloudiness, PhD thesis in preparation
Costa-Surós, M. et al - Detection and attribution of aerosol-cloud interactions in large-domain large- eddy simulations with ICON, 2020.
DOI: doi.org/10.2151/jmsj.2020-021, Stevens, B., Acquistapace, C., Hansen, A., Heinze, R., Klinger, C., Klocke, D., ... & Arka, I. , 2020, The added value of large-eddy and storm-resolving models for simulating clouds and precipitation. Journal of the Meteorological Society of Japan. Ser. II.
Moseley C. , O. Henneberg, J. O. Haerter, 2019, A statistical model for isolated convective precipitation events, Journal of Advances in Modeling Earth Systems 11 (1), 360-375
Albern, N., A. Voigt, J. G. Pinto: Tropical Cloud-Radiative Changes Contribute to Wintertime North Atlantic Jet Exit Strengthening under global warming, in preparation.
Choudhary, A., and Voigt, A., ICON simulations of cloud-diabatic processes in a warm conveyor belt of an extratropical cyclone: A case study, to be submitted to QJRMS in the coming weeks.
DOI: 10.1029/2018MS001592., Albern, N., A. Voigt, and J. G. Pinto (2019). Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming. J. Adv. Model. Earth Sys. 11 (7)
Singh et al., 2020, Resolved and un-resolved: Convective triggering mechanism in ICON, in progress
DOI: 10.1029/2020JD032667., Senf, F., A. Voigt, N. Clerbaux, A. Hünerbein, and H. Deneke (2020), Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic, J. Geophys. Res. Atmos., 125(19), e2020JD032667
Haerter J.O. , B. Meyer, S. B. Nissen, 2020, Diurnal self-aggregation, npj Climate and Atmospheric Science, 3, 30
DOI: 10.1002/2017GL076726, Schäfer, S. A. K. and A. Voigt (2018). Radiation weakens idealized midlatitude cyclones. Geophysical Research Letters, 45, 2833–2841
Singh, 2020, Convective precipitation simulated with ICON over heterogeneous surfaces in dependence on model and land-surface resolution, PhD thesis
DOI: 10.1175/JCLI-D-18-0810.1, Voigt, A., N. Albern, and G. Papavasileiou (2019): The atmospheric pathway of the cloud-radiative impact on the circulation response to global warming: important and uncertain. J. Climate, 32
Rybka, H., Köhler, M., Seifert, A., Burkhardt, U., Arka, I., Bugliaro, L., Reichardt, J., Görsdorf, U., Meyer, C., Strandgren, J., Horvath, A. - High-resolution modeling of high-CAPE summer convection - role of ice microphysics and large-scale forcing, in review.
Poll S., P. Shrestha, C. Simmer, 2020, Grid Resolution Dependency of Land Surface Heterogeneity Effects on Boundary Layer Structure, QJRMS, under review Singh S., L. Gantner, N. Kalthoff, 2020, Sensitivity of convective precipitation to model grid spacing and land-surface resolution in ICON. QJRMS, under review
Henneberg O. , B. Meyer, J. O. Haerter, 2020, Particle‐Based Tracking of Cold Pool Gust Fronts, Journal of Advances in Modeling Earth Systems 12 (5),e2019MS001910
Fournier M. B., J. O. Haerter, 2019, Tracking the gust fronts of convective cold pools, Journal of Geophysical Research: Atmospheres 124 (21), 11103-11117
Verma, P. and U. Burkhardt: Contrail formation within cirrus: high-resolution simulations using ICON- LEM, in preparation.
Nissen S. B. and J. O. Haerter, The initial symmetry breaking in convective self-aggregation, under review
DOI: 10.1175/JAMC-D-17-0341.1., Marke, T., S. Crewell, V. Schemann, J. H. Schween, and M. Tuononen, 2018: Long-Term Observations and High Resolution Modeling of Mid-Latitude Nocturnal Boundary-Layer Processes Connected to Low-Level-Jets, J. Appl. Meteor. Climatol., 57, 1155–1170
DOI: 10.1175/JTECH-D-18-0158.1, Acquistapace, C., U. Löhnert, M. Maahn, and P. Kollias (2019): A New Criterion to Improve Operational Drizzle Detection with Ground-Based Remote Sensing. J. Atmos. Oceanic Technol., 36, 781–801
DOI: 10.1175/BAMS-D-18-0174.1, Lammert, A., A. Hansen, F. Ament, S. Crewell, G. Dick, V. Grützun, H. Klein-Baltink, V. Lehmann, A. Macke, B. Pospichal, W. Schubotz, P. Seifert, E. Stamnas, and B. Stevens (2019): A Standardized Atmospheric Measurement Data (SAMD) Archive for distributed cloud and precipitation process-oriented observations in Central Europe. Bull. Amer. Meteor. Soc
DOI: 10.5194/acp-2019-322, Marke, T., U. Löhnert, V. Schemann, and S. Crewell 2019: “Land surface induced water vapor patterns”, Atmospheric Chemistry and Physics (submitted)
DOI: 10.1175/JCLI-D-18-0810.1, Voigt, A., N. Albern, and G. Papavasileiou (2019): The atmospheric pathway of the cloud-radiative impact on the circulation response to global warming: important and uncertain. J. Climate, 32
Montserrat Costa-Surós, Odran Sourdeval, Claudia Acquistapace, Holger Baars, Cintia Carbajal Henken, Christa Genz, Jonas Hesemann, Cristofer Jimenez, Marcel König, Jan Kretzschmar, Nils Madenach, Catrin Meyer, Roland Schrödner, Patric Seifert, Fabian Senf, Matthias Brueck, Guido Cioni, Jan Frederik Engels, Kerstin Fieg, Ksenia Gorges, Rieke Heinze, Pavan Kumar Siligam, Ulrike Burkhardt, Susanne Crewell, Corinna Hoose, Axel Seifert, Ina Tegen, and Johannes Quaas: Detection and attribution of aerosol-cloud interactions in large-domain large-eddy simulations with ICON. Submitted to ACP
Stevens, B., and HDCP2 - Added Value Team, Journal of the Meteorological Society of Japan, Large-eddy and storm resolving models for Climate Prediction - The Added Value for Clouds and Precipitation 2019, in review
Rybka, H., Köhler, M., Seifert, A., Burkhardt, U., Arka, I., Bugliaro, L., Reichardt, J., Görsdorf, U., Meyer, C., Strandgren, J., Horvath, A. - High-resolution modeling of high-CAPE summer convection -role of ice microphysics and large-scale forcing, in preparation.
Papavasileiou, G., Voigt, A., Knippertz, P., Simpson, I., Medeiros, B. (2019): The role of cloudradiative effects and diabatic processes for short-term dynamics of the North Atlantic Oscillation, in preparation.
DOI: doi:10.1029/2017RG000593, Grosvenor, D. P., O. Sourdeval, P. Zuidema, A. Ackerman, M. D. Alexandrov, R. Bennartz, R. Boers, B. Cairns, C. Chiu, M. Christensen, H. Deneke, M. Diamond, G. Feingold, A. Fridlind, A. Hünerbein, C. Knist, P. Kollias, A. Marshak, D. McCoy, D. Merk, D. Painemal, J. Rausch, D. Rosenfeld, H. Russchenberg, P. Seifert, K. Sinclair, P. Stier, B. Van Diedenhoven, M. Wendisch, F. Werner, R. Wood, Z. Zhang, and J. Quaas, Remote sensing of cloud droplet number concentration in warm clouds: A review of the current state of knowledge and perspectives, Rev. Geophys., 56, 409-453,
The document Publications_2018.pdf summarizes the publications stem from work in the consortium project HD(CP)².
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.
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, Opens external link in new windowdoi:10.1002/2015GL065140.
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, Opens external link in new windowdoi: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, Opens external link in new windowdoi: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, Opens external link in new window doi:10.5194/gmd-9-1413-2016.
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, 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.
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, Opens external link in new windowdoi:10.5194/amt-10-1783-2017.
Baumgartner, M. and Spichtinger, P. (2017): Diffusional growth of cloud particles: existence and uniqueness of solutions, Theor. Comput. Fluid Dyn., Opens external link in new windowdoi:10.1007/s00162-017-0437-x
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, Opens external link in new windowdoi: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, Opens external link in new windowdoi: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,Opens external link in new window doi:10.1007/s10546-017-0286-6.
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, Opens external link in new windowdoi: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., Opens external link in new windowdoi: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, Opens external link in new windowdoi:10.5194/acp-17-5477-2017.
Poll, S., Shrestha, P., and Simmer, C. (2017): Modelling convectively induced secondary circulations in the terra incognita with TerrSysMP., Q.J.R. Meteorol. Soc., Opens external link in new windowdoi:10.1002/qj.3088
Spreitzer, E. J., Marschalik, M. P., and Spichtinger, P. (2017): Subvisible cirrus clouds – a dynamical system approach, Nonlin. Processes Geophys., 24, 307-328, Opens external link in new windowdoi.org/10.5194/npg-24-307-2017.
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.
Nam, C., Philipp Kühne, M. Salzmann, and J. Quaas, A prospectus for using large-eddy simulations to constrain rapid adjustments in general circulation models, J. Adv. Model. Earth Syst., submitted.
Zängl, G., D. Reinert, P. Rípodas, and M. Baldauf (2015), The ICON (ICOsahedral Nonhydrostatic) modelling framework of DWD and MPI-M: Description of the non-hydrostatic dynamical core, Quart. J. Roy. Meteor. Soc., 141, 563 - 579, doi:10.1002/qj.2378.
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.
Nam, C. C., and Quaas, J. (2013): Geographically versus dynamically defined boundary layer cloud regimes and their use to evaluate general circulation model cloud parameterizations, Geophys. Res. Lett., 40(18), 4951-4956, doi:10.1002/grl.50945.
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
Kuhn, A., Engelke, W., Rössl, C., Hadwiger, M. and Theisel, H. (2014): Time Line Cell Tracking for the Approximation of Lagrangian Coherent Structures with Subgrid Accuracy, Computer Graphics Forum, 33: 222–234, doi:10.1111/cgf.12269
Kuhn, A., Lindow, N., Günther, T., Wiebel, A., Theisel, H., and Hege, H. C. (2013): Trajectory density projection for vector field visualization, EuroVis-Short Papers, 31-35
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., (7), doi:10.1002/2015MS000431.
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
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, Opens external link in new windowdoi: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.
Nam, C. C., Quaas, J., Neggers, R., Drian, S. L., and Isotta, F. (2014): Evaluation of boundary layer cloud parameterizations in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data, J. Adv. Model. Earth Syst., 6 (2), 300-314, doi:10.1002/2013MS000277.
Schween, J. H., A. Hirsikko, U. Löhnert, and S. Crewell (2014): Mixing Layer Height Retrieval with Ceilometer and Doppler Lidar: from Case Studies to Long-Term Assessment, Atmo. Meas. Techn., 7(11), 3685-3704., doi:10.5194/amt-7-3685-2014
Späth, F., Behrendt, A., Muppa, S. K., Metzendorf, S., Riede, A., and Wulfmeyer, V. (2014): High-resolution atmospheric water vapor measurements with a scanning differential absorption lidar, Atmos. Chem. Phys. Discuss., 14, 29057-29099, doi:10.5194/acpd-14-29057-2014
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.
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.
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, Opens external link in new windowdoi.org/10.1016/j.jqsrt.2015.08.020.
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.
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