Open Access
Issue
EPJ Web Conf.
Volume 176, 2018
The 28th International Laser Radar Conference (ILRC 28)
Article Number 05008
Number of page(s) 4
Section Lidars applications in atmospheric structure and composition: Aerosols, clouds, trace gases
DOI https://doi.org/10.1051/epjconf/201817605008
Published online 13 April 2018
  1. Dinoev, T., Simeonov, V., Arshinov, Y., Bobrovnikov, S., Ristori, P., Calpini, B., Parlange, M., and van den Bergh, H.: Raman Lidar for Meteorological Observations, RALMO – Part 1: Instrument description, Atmos. Meas. Tech., 6, 1329–1346, doi:10.5194/amt-6-1329-2013, 2013 [CrossRef] [Google Scholar]
  2. Brocard, E., Philipona, R., Haefele, A., Romanens, G., Ruffieux, D., Simeonov, V., and Calpini, B.: Raman Lidar for Meteorological Observations, RALMO – Part 2: Validation of water vapor measurements, Atmos. Meas. Tech.,6, 1347–1358, doi:10.5194/amt-6-1347-2013, 2013. [CrossRef] [Google Scholar]
  3. Whiteman, D. N.: Raman lidar system for the measurement of water vapor and aerosols in the Earth’s atmosphere, Appl. Opt., 31, 3068–3082, 1992. [CrossRef] [PubMed] [Google Scholar]
  4. Simeonov V., Larcheveque G., Quaglia P., van den Bergh H., and Calpini B., “The influence of the PMT spatial uniformity on lidar signal," Appl.Opt, 38, 5186-5190 (1999). [CrossRef] [Google Scholar]
  5. Simeonov V., Fastig S., Haefele A., and Calpini, B.: Instrumental correction of the uneven PMT aging effect on the calibration constant of a water vapor Raman lidar, Proc. SPIE 9246, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing X, 92460N (October 20, 2014); http://dx.doi.org/10.1117/12.2066802 [Google Scholar]
  6. Dionisi, D., Congeduti, F., Liberti, G. L., and Cardillo, F.: Calibration of a Multichannel Water Vapor Raman Lidar through Noncollocated Operational Soundings: Optimization and Characterization of Accuracy and Variability, J. Atmos. Ocean. Tech., 27, 108–121, doi:10.1175/2009JTECHA1327.1, 2010. [CrossRef] [Google Scholar]
  7. Foth, A., Baars, H., Di Girolamo, P., and Pospichal, B.: Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE, Atmos. Chem. Phys., 15, 7753-7763, doi:10.5194/acp-15-7753-2015, 2015. [CrossRef] [Google Scholar]
  8. Hicks, S., Sica, J. R., and Martucci, G.: Calibration of the MeteoSwiss RAman Lidar for Meteorological Observations (RALMO) Water Vapour Mixing Ratio Measurements using a Radiosonde Trajectory Method, contribution to ILRC28, Bucharest, 2017 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.