Articles | Volume 15, issue 13
https://doi.org/10.5194/acp-15-7429-2015
https://doi.org/10.5194/acp-15-7429-2015
Research article
 | 
09 Jul 2015
Research article |  | 09 Jul 2015

Sensitivities of Lagrangian modelling of mid-latitude cirrus clouds to trajectory data quality

E. Kienast-Sjögren, A. K. Miltenberger, B. P. Luo, and T. Peter

Related authors

Climatological and radiative properties of midlatitude cirrus clouds derived by automatic evaluation of lidar measurements
Erika Kienast-Sjögren, Christian Rolf, Patric Seifert, Ulrich K. Krieger, Bei P. Luo, Martina Krämer, and Thomas Peter
Atmos. Chem. Phys., 16, 7605–7621, https://doi.org/10.5194/acp-16-7605-2016,https://doi.org/10.5194/acp-16-7605-2016, 2016
Short summary
Formulation and test of an ice aggregation scheme for two-moment bulk microphysics schemes
E. Kienast-Sjögren, P. Spichtinger, and K. Gierens
Atmos. Chem. Phys., 13, 9021–9037, https://doi.org/10.5194/acp-13-9021-2013,https://doi.org/10.5194/acp-13-9021-2013, 2013

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2
Naser Mahfouz, Johannes Mülmenstädt, and Susannah Burrows
Atmos. Chem. Phys., 24, 7253–7260, https://doi.org/10.5194/acp-24-7253-2024,https://doi.org/10.5194/acp-24-7253-2024, 2024
Short summary
Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign
Britta Schäfer, Robert Oscar David, Paraskevi Georgakaki, Julie Thérèse Pasquier, Georgia Sotiropoulou, and Trude Storelvmo
Atmos. Chem. Phys., 24, 7179–7202, https://doi.org/10.5194/acp-24-7179-2024,https://doi.org/10.5194/acp-24-7179-2024, 2024
Short summary
Microphysical characteristics of precipitation within convective overshooting over East China observed by GPM DPR and ERA5
Nan Sun, Gaopeng Lu, and Yunfei Fu
Atmos. Chem. Phys., 24, 7123–7135, https://doi.org/10.5194/acp-24-7123-2024,https://doi.org/10.5194/acp-24-7123-2024, 2024
Short summary
Effects of radiative cooling on advection fog over the northwest Pacific Ocean: observations and large-eddy simulations
Liu Yang, Saisai Ding, Jing-Wu Liu, and Su-Ping Zhang
Atmos. Chem. Phys., 24, 6809–6824, https://doi.org/10.5194/acp-24-6809-2024,https://doi.org/10.5194/acp-24-6809-2024, 2024
Short summary
Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project
Nadja Omanovic, Sylvaine Ferrachat, Christopher Fuchs, Jan Henneberger, Anna J. Miller, Kevin Ohneiser, Fabiola Ramelli, Patric Seifert, Robert Spirig, Huiying Zhang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 6825–6844, https://doi.org/10.5194/acp-24-6825-2024,https://doi.org/10.5194/acp-24-6825-2024, 2024
Short summary

Cited articles

Ansmann, A., Wandinger, U., Riebesell, M., Weitkamp, C., and Michaelis, W.: Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter Lidar, Appl. Opt., 31, 7113–7131, 1992.
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., and Raschendorfer, M.: Operational convective-scale numerical weather prediction with the COSMO model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011.
Bierdel, L., Friedrichs, P., and Bentzien, S.: Spatial kinetic energy spectra in the convection permitting limited-area NWP model COSMO-DE, Meteorol. Z., 21, 245–258, 2012.
Brabec, M., Wienhold, F. G., Luo, B. P., Vömel, H., Immler, F., Steiner, P., Hausammann, E., Weers, U., and Peter, T.: Particle backscatter and relative humidity measured across cirrus clouds and comparison with microphysical cirrus modelling, Atmos. Chem. Phys., 12, 9135–9148, https://doi.org/10.5194/acp-12-9135-2012, 2012.
Bunz, H., Benz, S., Gensch, I., and Krämer, M.: MAID: A model to simulate UT/LS aerosols and ice clouds, Environ. Res. Lett., 3, 035001, https://doi.org/10.1088/1748-9326/3/3/035001, 2008.
Download
Short summary
Sensitivities of Lagrangian cirrus modelling on input data uncertainties have been examined. We found a strong dependence on the temporal resolution of the trajectories and underlying numerical weather prediction (NWP) data as well as on the specific moisture content. Furthermore, we found a large day-to-day variability in the vertical wind spectrum, demonstrating the necessity to apply NWP models with high spatial and temporal resolution for Lagrangian cirrus modelling.
Altmetrics
Final-revised paper
Preprint