Knowledge of water clouds is essential for climate studies. To understand present global climate and predict climate changes, global observations of cloud microphysical properties are needed and space-based systems must be considered. Retrieval of cloud parameters form space challenges current technological possibilities; not just due to sensor limitations, but also due to complex relationships between cloud parameters and remote sensing observables. Straight-forward retrieval of cloud microphysics with radar only, is hindered by the presence of drizzle. To overcome this problem, sunergetic use of multiple sensors is employed. This paper focusses on the retrieval of the cloud liquid water content by means of spaceborne radar lidar measurements. The combination of radar reflectivity and lidar optical extinction is used to classify clouds according to their drizzle fraction. Appropiate retrieval algorithms can then be applied to each category to obtain the liquid water content. As the method was initially developed for ground-based insturments, differences between sensing clouds from above and below were studied. Airborne data was the used to simulate space-based measurements and suitability of the technique for space-based applications was established. It is shown that accurate liquid water content retrieval form space is possible.
|Publisher||American Meteorology Society|
|Conference||11th Conference on Mesoscale Processes and the 32nd Conference on Radar Meteorology|
|Period||24/10/05 → 29/10/05|
- conference contrib. refereed
- Conf.proc. > 3 pag