Ground-Based Cloud and Atmospheric Boundary Layer Observations for the Project: High Definition Clouds and Precipitation for Advancing Climate Prediction, HD(CP)2

Wednesday, 17 December 2014
Anne Hirsikko1, Kerstin Ebell2, Ulrich Löhnert2, Jan H Schween2, Birger Bohn1, Ulrich Görsdorf3, Ronny Leinweber3, Eileen Päschke3, Holger Baars4, Patric Seifert4 and Henk Klein Baltink5, (1)Forschungszentrum Jülich, Jülich, Germany, (2)University of Cologne, Cologne, Germany, (3)Deutscher Wetterdienst, Lindenberg, Germany, (4)Leibniz Institute for Tropospheric Research - TROPOS, Leipzig, Germany, (5)Royal Netherlands Meteorological Institute, De Bilt, Netherlands
The German research initiative ''High Definition Clouds and Precipitation for advancing Climate Prediction, HD(CP)2'' aims for an improved representation of clouds and precipitation in climate models. Model development and its evaluation require comprehensive observational datasets. A specific work package was established to create uniform and documented observational datasets for the HD(CP)2 data base. Datasets included ground-based remote-sensing (Doppler lidars, ceilometers, microwave radiometers, and cloud radars) and in-situ (meteorological and radiation sensors) measurements. Four supersites (Jülich ObservatorY for Cloud Evolution (JOYCE), Lindenberg Meteorological Observatory – Richard Assmann Observatory (RAO), and Leipzig Aerosol and Cloud Remote Observations System (LACROS) in Germany, and Cabauw experimental site for atmospheric research (Cesar) in the Netherlands) are finalizing the operational procedures to provide quality controlled (and calibrated if possible) remote-sensing and in-situ observations, retrievals on atmospheric boundary layer state (e.g. winds, mixing layer height, humidity and temperature), and cloud macro and micro physical properties with uncertainty estimations or at least quality flags. During the project new processing and retrieval methods were developed if no commonly agreed or satisfying methods were available. Especially, large progress was made concerning uncertainty estimation and automated quality control. Additionally, the data from JOYCE are used in a radiative closure studies under cloudy conditions to evaluate retrievals of cloud properties. The current status of work progress will be presented.