https://doi.org/10.1051/epjconf/201817601025
How to apply the optimal estimation method to your lidar measurements for improved retrievals of temperature and composition
1
Department of Physics and Astronomy, The University of Western Ontario, Canada,
2
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
Published online: 13 April 2018
The optimal estimation method (OEM) has a long history of use in passive remote sensing, but has only recently been applied to active instruments like lidar. The OEM’s advantage over traditional techniques includes obtaining a full systematic and random uncertainty budget plus the ability to work with the raw measurements without first applying instrument corrections. In our meeting presentation we will show you how to use the OEM for temperature and composition retrievals for Rayleigh-scatter, Ramanscatter and DIAL lidars.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
