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Jun 2 – 6, 2025
Schloss Karlsruhe
Europe/Berlin timezone

The ALI Aerosol Retrieval Algorithm with Application to OMPS-LP and OSIRIS

Not scheduled
20m
Gartensaal (Schloss Karlsruhe)

Gartensaal

Schloss Karlsruhe

Schlossbezirk 10 76131 Karlsruhe
Talk

Speaker

Daniel Zawada (University of Saskatchewan)

Description

The Aerosol Limb Imager (ALI) instrument is currently being developed as part of the HAWC mission, which will include three Canadian instrument contributions to the NASA Atmosphere Observing System (AOS) mission. ALI will measure limb scattered radiances in the VIS-NIR spectral region at high vertical resolution and will include polarization information to better determine aerosol particle size and discriminate high-altitude clouds. An aerosol retrieval algorithm is currently being developed that will simultaneously retrieve aerosol extinction as well as particle size information. To test the algorithm, a version of the retrieval with the particle size retrieval disabled is being consistently applied to measurements from the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Ozone Mapping and Profiler Suite - Limb Profiler (OMPS-LP). The full algorithm (including particle size) is also being applied to both instruments to determine if particle size information can be obtained from these instruments in certain viewing conditions. In this presentation we describe the current state of the ALI aerosol retrieval algorithm and show the results obtained from applications to OSIRIS and OMPS-LP.

Topic Current and past limb and occultation instruments: algorithms, products, validation

Author

Daniel Zawada (University of Saskatchewan)

Co-authors

Taran Warnock (University of Saskatchewan) Dr Landon Rieger (Environment and Climate Change Canada) Adam Bourassa (University of Saskatchewan) Doug Degenstein (University of Saskatchewan)

Presentation materials

There are no materials yet.