Direct 3d-Cloud Estimates From Oco-2 Radiances3d-clouds effects result from scattering from clouds outside the field of view. These effects have previously been shown to result in a bias in estimate of carbon dioxide on the order of 0.4 ppm for good quality, bias-corrected OCO-2 observations affected by 3d-clouds (Massie et al., 2021). In this paper we directly retrieve 3d-clouds from OCO-2 synthetic and actual radiances utilizing a spectral parametrization of 3d-clouds (Schmidt et al., 2023). We find that retrieving 3d-clouds results in improves carbon dioxide estimates affected by 3d-clouds but increases carbon dioxide scatter for scenes not affected by 3d-clouds. We also find a spectral residual pattern when 3d-cloud effects are present but not retrieved that can be used to identify scenes impacted by 3d-clouds.
Document ID
20230004057
Acquisition Source
Ames Research Center
Document Type
Poster
Authors
Susan S Kulawik (Bay Area Environmental Research Institute Petaluma, California, United States)
Yu-wen Chen (University of Colorado Boulder Boulder, Colorado, United States)
Sebastian Schmidt (University of Colorado Boulder Boulder, Colorado, United States)
Chris O'Dell (Colorado State University Fort Collins, Colorado, United States)
James Mcduffie (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Matthaeus Kiel (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Steven T Massie (University of Colorado Boulder Boulder, Colorado, United States)
Rob Nelson (Jet Propulsion Lab La Cañada Flintridge, California, United States)
Kevin W Bowman (Jet Propulsion Lab La Cañada Flintridge, California, United States)