Beekmans, Christoph, Schween, Jan, Lennefer, Martin and Simmer, Clemens (2021). Comparison of Cloud Motion Vector Profile Derived from Ground-Based Hemispheric Stereocameras to Wind-Lidar Observations. Meteorol. Z., 30 (6). S. 503 - 514. STUTTGART: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG. ISSN 1610-1227

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Abstract

Ground-based sky imagers have become a valuable tool for cloud monitoring as they allow to observe the local sky in great detail due to their temporally and spatially high-resolution imagery. Set up in pairs, they can be used to estimate both cloud geometry and motion. While considerable effort is currently devoted to their use for cloud shadow forecasting and short-term prediction of solar irradiance for renewable energies, their potential for vertical wind prof ling and cloud evolution monitoring has not yet received much attention. We evaluate the accuracy and reliability of such retrievals from two sky imagers in stereo mode by comparing derived 3D cloud motion vector fiel s with observations from a wind lidar. We f nd that the wind vectors derived from the detected motion of cumulus clouds and multiple cloud layers can be retrieved with a quality comparable to a wind lidar. Differences in wind speed and direction from both methods remain mostly below 1 to 3 ms-1 in wind speed and 6 degrees to 20 degrees in wind direction, depending on cloud type.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Beekmans, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schween, JanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lennefer, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Simmer, ClemensUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-572092
DOI: 10.1127/metz/2021/1069
Journal or Publication Title: Meteorol. Z.
Volume: 30
Number: 6
Page Range: S. 503 - 514
Date: 2021
Publisher: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
Place of Publication: STUTTGART
ISSN: 1610-1227
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
DOPPLER LIDAR; HEIGHT; CLASSIFICATION; PHOTOGRAMMETRY; PERFORMANCE; ACCURACYMultiple languages
Meteorology & Atmospheric SciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/57209

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