| Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
|
|
|---|---|---|
| Article Number | 25006 | |
| Number of page(s) | 4 | |
| Section | Poster Session (Advances in Lidar Technologies and Techniques III) | |
| DOI | https://doi.org/10.1051/epjconf/201611925006 | |
| Published online | 07 June 2016 | |
https://doi.org/10.1051/epjconf/201611925006
Characterization of Water Vapor Fluxes by the Raman Lidar System Basil and the Univeristy of Cologne Wind Lidar in the Frame of the HD(CP)2 Observational Prototype Experiment – Hope
1 Scuola di Ingegneria, Università degli Studi della Basilicata, Viale dell’Ateneo Lucano n. 10, 85100 Potenza – Italy
2 Dipartimento di Fisica, Università di Roma “Sapienza”, Piazzale Aldo Moro, n. 2, 00100 Roma – Italy
3 Institut fuer Geophysik und Meteorologie, Universität zu Köln, Pohligstrasse 3, 50969 Köln – Germany
* Email: digirolamo@unibas.it
Published online: 7 June 2016
Measurements carried out by the Raman lidar system BASIL and the University of Cologne wind lidar are reported to demonstrate the capability of these instruments to characterize water vapour fluxes within the Convective Boundary Layer (CBL). In order to determine the water vapour flux vertical profiles, high resolution water vapour and vertical wind speed measurements, with a temporal resolution of 1 sec and a vertical resolution of 15-90, are considered.
Measurements of water vapour flux profiles are based on the application of covariance approach to the water vapour mixing ratio and vertical wind speed time series. The algorithms are applied to a case study (IOP 11, 04 May 2013) from the HD(CP)2 Observational Prototype Experiment (HOPE), held in Central Germany in the spring 2013. For this case study, the water vapour flux profile is characterized by increasing values throughout the CBL with lager values (around 0.1 g/kg m/s) in the entrainment region. The noise errors are demonstrated to be small enough to allow the derivation of water vapour flux profiles with sufficient accuracy.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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