How to apply the optimal estimation method to your lidar measurements for improved retrievals of temperature and composition Article Swipe
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Original equipment manufacturer
Lidar
Remote sensing
Environmental science
Composition (language)
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Computer science
Estimation
Rayleigh scattering
Meteorology
Engineering
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R. J. Sica
,
Alexander Haefele
,
Ali Jalali
,
Shayamila Mahagammulla Gamage
,
Ghazal Farhani
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/201817601025
· OA: W2797786225
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1051/epjconf/201817601025
· OA: W2797786225
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.
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