https://atmos.meteo.uni-koeln.de/ag_crewell/ 2026-05-16T16:17:51+00:00 https://atmos.meteo.uni-koeln.de/ag_crewell/ https://atmos.meteo.uni-koeln.de/ag_crewell/lib/exe/fetch.php?media=wiki:logo.png text/html 2021-01-22T21:17:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://atmos.meteo.uni-koeln.de/ag_crewell/doku.php?id=publications:abstract:isars_2016:isars_2016_abstract_jschween_flux_profile&rev=1611350234&do=diff Profiles of the Turbulent Humidity Flux: is a water budget feasible ? During the HOPE campaign the ‘University of BASILicata UV-Raman lidar system’ (BASIL) was installed close to the HALO photonics Streamline Doppler Wind Lidar of the Juelich ObservatorY for Cloud Evolution (JOYCE). We used this opportunity to calculate profiles of the turbulent humidity flux including an estimate of the uncertainty. Profiles indicate a loss of humidity to the free troposphere for the investigated case with a … text/html 2021-01-22T21:17:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://atmos.meteo.uni-koeln.de/ag_crewell/doku.php?id=publications:abstract:isars_2016:isars_2016_abstract_jschween_wind_error&rev=1611350234&do=diff Doppler Wind profiler uncertainty in a turbulent atmosphere Doppler wind profilers measure the wind speed component along the direction of 'line of sight', or direction of a beam. To derive the 3-D wind vector it is necessary to scan and measure at least 3 beams and tilt at least some of them. This results in different locations for the different Doppler speed measured at a certain height. The basic assumption is that the wind vector at this different locations is everywhere the same. But in a …