Oral Session 9 | Thursday, October 6, 09:40–10:00 | Abstract 493

Seasonal bias in ocean color observations

We have identified a global seasonal bias in ocean color remote sensing reflectances (Rrs, λ) using observations from the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instrument aboard the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder) satellite, in addition to Argo float data and in-water reflectance from the Marine Optical BuoY (MOBY) site. The seasonal bias in Rrs is present in all checked daily ocean color missions. The bias affects products derived from Rrs to varying degrees. Particulate backscattering varies up to 50%, chlorophyll varies up to 25%, and absorption from phytoplankton or dissolved material varies up to 15%. The relative magnitude in seasonal bias is spatially variable. While we have eliminated several candidates which could cause the bias, there are still outstanding questions about the role atmospheric correction plays. Here, we provide updates on our work to diagnose the seasonal bias. Future data will be affected until a solution is found and implemented.

Kelsey Bisson, Oregon State University, 0000-0003-4230-3467

Emmanuel Boss, University of Maine

Jeremy Werdell, NASA

Robert Frouin, Scripps Institute of Oceanography

Amir Ibrahim, NASA

Lachlan McKinna, Go2Q Pty Ltd

Riley Blocker, University of Miami

Yong Hu, NASA

Michael Behrenfeld, Oregon State University

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