CLABAUTAIR: a new algorithm for retrieving three-dimensional cloud structure from airborne microphysical measurements R. Scheirer1 and S. Schmidt2 1Institut für Physik der Atmosphäre, DLR, Oberpfaffenhofen, Germany 2Leibniz-Institute for Tropospheric Research, Leipzig, Germany
Abstract. A new algorithm is presented to reproduce the
three-dimensional structure of clouds from airborne
measurements of microphysical parameters. Data from individual
flight legs are scanned for characteristic patterns, and the
for several directions are used to extrapolate the observations along
the flight path to a full three-dimensional distribution of the cloud field.
Thereby, the mean measured profiles of microphysical parameters are imposed
to the cloud field by mapping the measured probability density functions
onto the model layers.
The algorithm was tested by simulating flight legs through synthetic clouds
(by means of Large Eddy Simulations (LES))
and applied to a stratocumulus cloud case measured during the first field
experiment of the EC project INSPECTRO (INfluence of clouds on the
SPECtral actinic flux in the lower TROposphere) in East Anglia,
UK. The number and position of the flight tracks determine the quality
of the retrieved cloud field. If they provide a representative sample
of the entire field, the derived pattern closely resembles the
statistical properties of the real cloud field.
Citation: Scheirer, R. and Schmidt, S.: CLABAUTAIR: a new algorithm for retrieving three-dimensional cloud structure from airborne microphysical measurements, Atmos. Chem. Phys., 5, 2333-2340, doi:10.5194/acp-5-2333-2005, 2005.