Articles | Volume 16, issue 7
https://doi.org/10.5194/amt-16-1971-2023
https://doi.org/10.5194/amt-16-1971-2023
Research article
 | 
14 Apr 2023
Research article |  | 14 Apr 2023

The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals

Hong Chen, K. Sebastian Schmidt, Steven T. Massie, Vikas Nataraja, Matthew S. Norgren, Jake J. Gristey, Graham Feingold, Robert E. Holz, and Hironobu Iwabuchi

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Cited articles

Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., and Shettle, E. P.: AFGL atmospheric constituent profiles (0–120 km), Tech. Rep. AFGL-TR-86–0110, Air Force Geophys. Lab., Hanscom Air Force Base, Bedford, Massachusetts, USA, 1986. 
Barker, H. and Liu, D.: Inferring optical depth of broken clouds from Landsat data, J. Climate, 8, 2620–2630, 1995. 
Barker, H. W., Jerg, M. P., Wehr, T., Kato, S., Donovan, D. P., and Hogan, R. J.: A 3D cloud construction algorithm for the EarthCARE satellite mission, Q. J. Roy. Meteor. Soc., 137, 1042–1058, https://doi.org/10.1002/qj.824, 2011. 
Barker, H. W., Kato, S., and Wehr, T.: Computation of solar radiative fluxes by 1-D and 3-D methods using cloudy atmospheres inferred from A-train satellite data, Surv. Geophys., 33, 657–676, 2012. 
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Short summary
We introduce the Education and Research 3D Radiative Transfer Toolbox (EaR3T) and propose a radiance self-consistency approach for quantifying and mitigating 3D bias in legacy airborne and spaceborne imagery retrievals due to spatially inhomogeneous clouds and surfaces.