% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Lhnert:187197, author = {Löhnert, U. and Schween, J. H. and Acquistapace, C. and Ebell, K. and Maahn, M. and Barreraverdejo, M. and Hirsikko, A. and Bohn, B. and Knaps, A. and O'connor, E. and Simmer, C. and Wahner, A. and Crewell, S.}, title = {{JOYCE}: {J}uelich {O}bservatory for {C}loud {E}volution}, journal = {Bulletin of the American Meteorological Society}, volume = {96}, number = {7}, issn = {1520-0477}, address = {Boston, Mass.}, publisher = {ASM}, reportid = {FZJ-2015-00871}, pages = {1157–1174}, year = {2014}, abstract = {The Jülich Observatory for Cloud Evolution (JOYCE), located at Forschungszentrum Jülich in the most western part of Germany, is a recently established platform for cloud research. The main objective of JOYCE is to provide observations, which improve our understanding of the cloudy boundary layer in a midlatitude environment. Continuous and temporally highly resolved measurements that are specifically suited to characterize the diurnal cycle of water vapor, stability, and turbulence in the lower troposphere are performed with a special focus on atmosphere–surface interaction. In addition, instruments are set up to measure the micro- and macrophysical properties of clouds in detail and how they interact with different boundary layer processes and the large-scale synoptic situation. For this, JOYCE is equipped with an array of state-of-the-art active and passive remote sensing and in situ instruments, which are briefly described in this scientific overview. As an example, a 24-h time series of the evolution of a typical cumulus cloud-topped boundary layer is analyzed with respect to stability, turbulence, and cloud properties. Additionally, we present longer-term statistics, which can be used to elucidate the diurnal cycle of water vapor, drizzle formation through autoconversion, and warm versus cold rain precipitation formation. Both case studies and long-term observations are important for improving the representation of clouds in climate and numerical weather prediction models.}, cin = {IEK-8 / S-UM}, ddc = {550}, cid = {I:(DE-Juel1)IEK-8-20101013 / I:(DE-Juel1)S-UM-20090406}, pnm = {233 - Trace gas and aerosol processes in the troposphere (POF2-233)}, pid = {G:(DE-HGF)POF2-233}, typ = {PUB:(DE-HGF)16}, UT = {WOS:000359855000001}, doi = {10.1175/BAMS-D-14-00105.1}, url = {https://juser.fz-juelich.de/record/187197}, }