Stratospheric Ozone Density Retrieval Using the Optimal Estimation Method (OEM)

Ghazal Farhani (1) , R. J Sica (1) , Sophie Godin-Beekmann (2) , Alexander Haefele (3)

1 Department of Physics and Astronomy [London, ON]
2 STRATO - LATMOS
3 Federal Office of Meteorology and Climatology MeteoSwiss

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.

Domaines: Physique Atmosphérique et Océanique [physics.ao-ph]; Océan, Atmosphère

Ghazal Farhani, R. J Sica, Sophie Godin-Beekmann, Alexander Haefele. Stratospheric Ozone Density Retrieval Using the Optimal Estimation Method (OEM). EPJ Web of Conferences, 2018, 176, pp.art. 03006. ⟨10.1051/epjconf/201817603006⟩. ⟨insu-02115602⟩