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Thesis

The application of optimal estimation retrieval to lidar observations

Abstract:

Optimal estimation retrieval is a nonlinear regression scheme to determine the conditions statistically most-likely to produce a given measurement, weighted against any a priori knowledge. The technique is applied to three problems within the field of lidar data analysis.

A retrieval of the aerosol backscatter and either the extinction or lidar ratio from two-channel Raman lidar data is developed using the lidar equations as a forward model. It produces profiles consistent with exis...

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Institution:
University of Oxford
Research group:
Earth Observation Data Group
Oxford college:
St John's College
Department:
Mathematical,Physical & Life Sciences Division - Physics - Atmospheric,Oceanic and Planetary Physics

Contributors

Role:
Supervisor
Publication date:
2013
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:eb94de02-ad92-4eeb-b15c-094b05fa11c6
Local pid:
ora:8548

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