Details

Autor(en) / Beteiligte

• Brückner, M.
• Pospichal, B.
• Macke, A.
• Wendisch, M.

Titel

A new multispectral cloud retrieval method for ship-based solar transmissivity measurements

Ist Teil von

• Journal of geophysical research. Atmospheres, 2014-10, Vol.119 (19), p.11,338-11,354

Ort / Verlag

Washington: Blackwell Publishing Ltd

Erscheinungsjahr

2014

Quelle

Wiley Online Library

Beschreibungen/Notizen

• Within the German Leibniz‐network OCEANET project, ship‐based lidar and microwave remote sensing as well as spectral zenith radiance observations with the COmpact RAdiation measurements System (CORAS) were performed. During three cruises latitudes between 50°N and 50°S were covered. A new spectral retrieval method to derive the cloud optical thickness τ and the droplet effective radius reff using CORAS measurements is developed. The method matches CORAS measurements of ratios of spectral transmissivity at six wavelengths with modeled transmissivities. This retrieval is fast and accurate and thus suitable for operational purposes. The new approach circumvents ambiguities of existing cloud retrievals and reduces the influence of measurement uncertainties. It is applied to homogenous and heterogeneous liquid water and cirrus clouds. In boundary layer liquid water clouds, the retrieved effective radius was more variable, whereas in the cirrus it was rather constant. Furthermore, the liquid water path LWP was derived and compared to data from a microwave radiometer. The new retrieval tends to overestimate LWP for thick liquid water clouds but slightly underestimate LWP for thin clouds. The presented method cannot be applied to mixed‐phase clouds. The maximum retrieval of τ and reff for liquid water clouds is 80 in τ and 30 μm in reff, respectively; for cirrus clouds the limitations of the retrieval are 10 in τ and 60 μm in reff. Key Points Microphysical cloud properties are retrieved with a multispectral retrievalSpectral zenith transmissivity of clouds is characterizedLiquid water clouds and ice clouds are characterized