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)
The role of ascent timescales for warm conveyor belt (WCB) moisture transport into the upper troposphere and lower stratosphere (UTLS)
Cornelis Schwenk and Annette Miltenberger
Atmos. Chem. Phys., 24, 14073–14099, https://doi.org/10.5194/acp-24-14073-2024,https://doi.org/10.5194/acp-24-14073-2024, 2024
Short summary
Estimating the concentration of silver iodide needed to detect unambiguous signatures of glaciogenic cloud seeding
Jing Yang, Jiaojiao Li, Meilian Chen, Xiaoqin Jing, Yan Yin, Bart Geerts, Zhien Wang, Yubao Liu, Baojun Chen, Shaofeng Hua, Hao Hu, Xiaobo Dong, Ping Tian, Qian Chen, and Yang Gao
Atmos. Chem. Phys., 24, 13833–13848, https://doi.org/10.5194/acp-24-13833-2024,https://doi.org/10.5194/acp-24-13833-2024, 2024
Short summary
Ice-nucleating particle concentration impacts cloud properties over Dronning Maud Land, East Antarctica, in COSMO-CLM2
Florian Sauerland, Niels Souverijns, Anna Possner, Heike Wex, Preben Van Overmeiren, Alexander Mangold, Kwinten Van Weverberg, and Nicole van Lipzig
Atmos. Chem. Phys., 24, 13751–13768, https://doi.org/10.5194/acp-24-13751-2024,https://doi.org/10.5194/acp-24-13751-2024, 2024
Short summary
Numerical simulation of aerosol concentration effects on cloud droplet size spectrum evolutions of warm stratiform clouds in Jiangxi, China
Yi Li, Xiaoli Liu, and Hengjia Cai
Atmos. Chem. Phys., 24, 13525–13540, https://doi.org/10.5194/acp-24-13525-2024,https://doi.org/10.5194/acp-24-13525-2024, 2024
Short summary
The impact of aerosol on cloud water: a heuristic perspective
Fabian Hoffmann, Franziska Glassmeier, and Graham Feingold
Atmos. Chem. Phys., 24, 13403–13412, https://doi.org/10.5194/acp-24-13403-2024,https://doi.org/10.5194/acp-24-13403-2024, 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