%0 Book Section %1 Farhani-2017-ilrc %A Farhani, G %A Sica, R %A Haefele, A %A Godin-Beekmann, S %D 2017 %E Nicolae, D. %I EDP Sciences %K ilrc, lidar, pcl sica water-vapour, %T The Stratospheric Ozone Density Retrieval Using the Optimal Estimation Method (OEM) %X We use an Optimal Estimation Method (OEM) to retrieve ozone profiles from the CANDAC Stratospheric Ozone Differential Absorption Lidar in Eureka, Canada. The OEM is a well known inverse method in which a forward model (FM) is used to describe the instrument and geophysical situation. We have developed a FM and are testing its validity using synthetic measurements. We will present the advantages of using OEM retrievals over the traditional method, including a full uncertainty budget.

@incollection{Farhani-2017-ilrc, abstract = {We use an Optimal Estimation Method (OEM) to retrieve ozone profiles from the CANDAC Stratospheric Ozone Differential Absorption Lidar in Eureka, Canada. The OEM is a well known inverse method in which a forward model (FM) is used to describe the instrument and geophysical situation. We have developed a FM and are testing its validity using synthetic measurements. We will present the advantages of using OEM retrievals over the traditional method, including a full uncertainty budget.}, added-at = {2019-04-05T21:27:46.000+0200}, author = {Farhani, G and Sica, R and Haefele, A and Godin-Beekmann, S}, biburl = {https://www.bibsonomy.org/bibtex/2698ff6da282f43c361d78da5b82afba9/bobsica}, editor = {Nicolae, D.}, interhash = {25afc80aa2612a5d197c2409b2b47bd3}, intrahash = {698ff6da282f43c361d78da5b82afba9}, keywords = {ilrc, lidar, pcl sica water-vapour,}, publisher = {EDP Sciences}, timestamp = {2019-04-05T21:27:46.000+0200}, title = {The Stratospheric Ozone Density Retrieval Using the Optimal Estimation Method (OEM)}, year = 2017 }