Barrett P, S Abel, H Coe, I Crawford, A Dobracki, J Haywood, S Howell, A Jones, J Langridge, G McFarquhar, G Nott, H Price, J Redemann, Y Shinozuka, K Szpek, J Taylor, R Wood, H Wu, P Zuidema, S Bauguitte, R Bennett, K Bower, H Chen, S Cochrane, M Cotterell, N Davies, D Delene, C Flynn, A Freedman, S Freitag, S Gupta, D Noone, T Onasch, J Podolske, M Poellot, S Schmidt, S Springston, A Sedlacek III, J Trembath, A Vance, M Zawadowicz, and J Zhang. 2022. "Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments." Atmospheric Measurement Techniques, 15(21), 10.5194/amt-15-6329-2022.
Diamond M, P Saide, P Zuidema, A Ackerman, S Doherty, A Fridlind, H Gordon, C Howes, J Kazil, T Yamaguchi, J Zhang, G Feingold, and R Wood. 2022. "Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition." Atmospheric Chemistry and Physics, 22(18), 10.5194/acp-22-12113-2022.
Li H and A May. 2022. "Estimating mass-absorption cross-section of ambient black carbon aerosols: theoretical, empirical, and machine learning models." Aerosol Science and Technology, 56(11), 10.1080/02786826.2022.2114311.
Kumar J, T Paik, N Shetty, P Sheridan, A Aiken, M Dubey, and R Chakrabarty. 2022. "Correcting for filter-based aerosol light absorption biases at the Atmospheric Radiation Measurement program's Southern Great Plains site using photoacoustic measurements and machine learning." Atmospheric Measurement Techniques, 15(15), 10.5194/amt-15-4569-2022.
May A and H Li. 2022. "Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses." Aerosol Science and Technology, 56(11), 10.1080/02786826.2022.2114312.
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