Dissertation Oliver Sievers
Radiative Heating rates in the atmosphere, estimated from MSG data
Earth' atmosphere is dynamical active only because of the development and
intensification of temperature differences, i.e. different heating
rates. These heatings are mainly caused by radiation divergences in the
atmosphere (and on the surface) and conversion of latent heat. Therefore knowledge of
these heating rates is very important for understanding atmospheric
movement. But nevertheless there are no comprehensive measurements (with high
temporal and spatial resolution, covering large areas and longer time series)
available until now.
Within the scope of introducing MSG (Meteosat Second Generation) this
study describes a method for estimating atmospheric heating rates caused by
radiative divergences. With MSG, starting operational service in the beginning
of 2004 as Meteosat 8, a satellite with several formerly unknown possibilities
is available. 12 narrowband spectral channels, a temporal resolution of 15
minutes, a spatial resolution of up to 1km by 1km and a broadband radiometer
to develop the radiation budget hasn't been flown on a single geostationary satellite yet.
Using a radiative transfer model a dataset was build which simulates both
satellite measurement and profiles of atmospheric heating rates. This dataset
was used to train neural networks giving the demanded estimation - of course
with a certain accuracy and with respect to limits.
The thesis is under preparation for being published in html format. It is
available at the moment at the library "Staatsbibliothek Hamburg" as PDF:
Note that there is no english version available, sorry. A paper is also under