Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 2.989 IF 2.989
  • IF 5-year<br/> value: 3.489 IF 5-year
    3.489
  • CiteScore<br/> value: 3.37 CiteScore
    3.37
  • SNIP value: 1.273 SNIP 1.273
  • SJR value: 2.026 SJR 2.026
  • IPP value: 3.082 IPP 3.082
  • h5-index value: 45 h5-index 45
Atmos. Meas. Tech., 10, 1653-1664, 2017
http://www.atmos-meas-tech.net/10/1653/2017/
doi:10.5194/amt-10-1653-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
03 May 2017
Determining stages of cirrus evolution: a cloud classification scheme
Benedikt Urbanek et al.

Data sets

#4992, ML-CIRRUS_6_WALES_20140329a_ADEP532_L1_V1.nc
DLR
https://halo-db.pa.op.dlr.de/dataset/4992
#4993, ML-CIRRUS_6_WALES_20140329a_H2O_L1_V1.nc
DLR
https://halo-db.pa.op.dlr.de/dataset/4993
#4994, ML-CIRRUS_6_WALES_20140329a_BSR532P_L1_V1.nc
DLR
https://halo-db.pa.op.dlr.de/dataset/4994
Publications Copernicus
Download
Short summary
Cirrus evolution from nucleation to cloud breakup can be investigated with a novel classification scheme based on airborne lidar data. Applying it to a case study from the ML-CIRRUS campaign, we investigate the impact of large-scale dynamics and small-scale gravity lee waves on the detailed spatial distribution of evolution stages in individual clouds. Our scheme may help to gain more insights in optical and radiative properties of cirrus under various formation and life cycle conditions.
Cirrus evolution from nucleation to cloud breakup can be investigated with a novel...
Share