Particulate backscattering in the global ocean: a comparison of independent assessments
Geophysical research letters, 2021•Wiley Online Library
How well do we know the particulate backscattering coefficient (bbp) in the global ocean?
Satellite lidar bbp has never been validated globally and few studies have compared lidar
bbp to bbp derived from reflectances (via ocean color) or in situ observations. Here, we
validate lidar bbp with autonomous biogeochemical Argo floats using a decorrelation
analysis to identify relevant spatiotemporal matchup scales inspired by geographical
variability in the Rossby radius of deformation. We compare lidar, float, and ocean color bbp …
Satellite lidar bbp has never been validated globally and few studies have compared lidar
bbp to bbp derived from reflectances (via ocean color) or in situ observations. Here, we
validate lidar bbp with autonomous biogeochemical Argo floats using a decorrelation
analysis to identify relevant spatiotemporal matchup scales inspired by geographical
variability in the Rossby radius of deformation. We compare lidar, float, and ocean color bbp …
Abstract
How well do we know the particulate backscattering coefficient (bbp) in the global ocean? Satellite lidar bbp has never been validated globally and few studies have compared lidar bbp to bbp derived from reflectances (via ocean color) or in situ observations. Here, we validate lidar bbp with autonomous biogeochemical Argo floats using a decorrelation analysis to identify relevant spatiotemporal matchup scales inspired by geographical variability in the Rossby radius of deformation. We compare lidar, float, and ocean color bbp at the same locations and times to assess performance. Lidar bbp outperforms ocean color, with a median percent error of 18% compared to 24% in the best case and a relative bias of −11% compared to −21%, respectively. Phytoplankton carbon calculated from ocean color and lidar exhibits basin‐scale differences that can reach ±50%.
Wiley Online Library
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