https://doi.org/10.1051/epjconf/201817602020
Averaging Bias Correction for Future IPDA Lidar Mission MERLIN
1
Centre National de Recherche Scientifique - Laboratoire de Météorologie Dynamique (CNRS - LMD), France
2
Centre National d'Etudes Spatiales (CNES), France
3
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany
* yoann.tellier@lmd.polytechnique.fr
Published online: 13 April 2018
The CNES/DLR MERLIN satellite mission aims at measuring methane dry-air mixing ratio column (XCH4) and thus improving surface flux estimates. In order to get a 1% precision on XCH4 measurements, MERLIN signal processing assumes an averaging of data over 50 km. The induced biases due to the non-linear IPDA lidar equation are not compliant with accuracy requirements. This paper analyzes averaging biases issues and suggests correction algorithms tested on realistic simulated scenes.
© 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/).
