%0 Book Section %1 Hicks-2017-ilrc %A Hicks, S %A Sica, R %A Haefele, A %D 2017 %E Nicolae, D. %I EDP Sciences %K ilrc, lidar, pcl sica water-vapour, %T A Calibration of the MeteoSwiss RAman Lidar for Meteorological Observations (RALMO) Water Vapour Mixing Ratio Measurements using a Radiosonde Trajectory Method %X With only 50% down-time from 2007-2016, the RALMO lidar in Payerne, Switzerland, has one of the largest continuous lidar data sets available. These measurements will be used to produce an extensive lidar water vapour climatology using the Optimal Estimation Method introduced by Sica and Haefele (2016). We will compare our improved technique for external calibration using radiosonde trajectories with the standard external methods, and present the evolution of the lidar constant from 2007 to 2016.

@incollection{Hicks-2017-ilrc, abstract = {With only 50% down-time from 2007-2016, the RALMO lidar in Payerne, Switzerland, has one of the largest continuous lidar data sets available. These measurements will be used to produce an extensive lidar water vapour climatology using the Optimal Estimation Method introduced by Sica and Haefele (2016). We will compare our improved technique for external calibration using radiosonde trajectories with the standard external methods, and present the evolution of the lidar constant from 2007 to 2016.}, added-at = {2019-04-05T21:27:46.000+0200}, author = {Hicks, S and Sica, R and Haefele, A}, biburl = {https://www.bibsonomy.org/bibtex/299d86a1d6e9e0a2990b5d90d943d9498/bobsica}, editor = {Nicolae, D.}, interhash = {23dfa85773ed5c2392af46a643424ffd}, intrahash = {99d86a1d6e9e0a2990b5d90d943d9498}, keywords = {ilrc, lidar, pcl sica water-vapour,}, publisher = {EDP Sciences}, timestamp = {2019-04-05T21:27:46.000+0200}, title = {A Calibration of the MeteoSwiss RAman Lidar for Meteorological Observations (RALMO) Water Vapour Mixing Ratio Measurements using a Radiosonde Trajectory Method}, year = 2017 }