TR32-Database: Database of Transregio 32

[1147] - JOYCE: Jülich Observatory for Cloud Evolution

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Löhnert, U., Schween, J., Acquistapace, C., Ebell, K., Maahn, M., Barrera-Verdejo, M., Hirsikko, A., Bohn, B., Knaps, A., O'Connor, E., Simmer, C., Wahner, A., Crewell, S., 2014. JOYCE: Jülich Observatory for Cloud Evolution. Bulletin of the American Meteorological Society, 1 - 46. DOI: 10.1175/BAMS-D-14-00105.1.
Identification
Title(s):Main Title: JOYCE: Jülich Observatory for Cloud Evolution
Description(s):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 mid-latitude 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 macro-physical 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 24h 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.
Identifier(s):DOI: 10.1175/BAMS-D-14-00105.1
Responsible Party
Creator(s):Author: Ulrich Löhnert
Author: Jan Schween
Author: Claudia Acquistapace
Author: Kerstin Ebell
Author: Maximilian Maahn
Author: Maria Barrera-Verdejo
Author: Anne Hirsikko
Author: Bastian Bohn
Author: Axel Knaps
Author: Ewan O'Connor
Author: Clemens Simmer
Author: Andreas Wahner
Author: Susanne Crewell
Publisher:American Meteorological Society
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Cloud Radar, Meteorology
File Details
File Name:Loehnert_et_al_2014_BAMS.pdf
Data Type:Text
File Size:2269 kB (2.216 MB)
Date(s):Date Accepted: 2014-10-02
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Jülich (research centre)
Specific Informations - Publication
Status:Accepted
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Bulletin of the American Meteorological Society
Number Of Pages:46
Page Range:1 - 46
Metadata Details
Metadata Creator:Tanja Kramm
Metadata Created:2015-04-23
Metadata Last Updated:2015-04-23
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:165
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features