Markus Petters,
PhD candidate
Clouds strongly modify the Earths' radiation
budget, primarily by reflecting solar radiation. The amount of sunlight reflected
by clouds (albedo) depends on cloud macrophysical and microphysical properties, most
importantly cloud droplet number concentration (CDNC) and their size
distribution. In the atmosphere, cloud droplets come onstage by condensation of
water on cloud condensation nuclei (CCN). Thus, Twomey
(1977) speculated that a change in the CCN leads to a change in cloud albedo, which has also become known as the first indirect
effect of aerosol on climate.
To quantify this effect, it is essential to
predict changes in CDNC and size spectra resulting from changes in aerosol
physicochemical properties. This work shows that CCN activation can be
predicted from aerosol size and chemical composition data, and that the
probability distribution function of CDNC in stratus clouds can be predicted
accurately from updraft and the CCN activation spectrum. Furthermore, this work
evaluates the degree of certainty to which the CCN activation spectrum can be
known and thus CDNC can be predicted. This includes fitting uncertainties and
the assumed functional dependence of the CCN activation spectrum. Furthermore,
uncertainties about updraft velocities, observed droplet concentrations and
assumed parameters about droplet growth are discussed.