The following papers are associated with the ORACLES mission.

Publication Citation
Adebiyi, A., and P. Zuidema (2018), Low Cloud Cover Sensitivity to Biomass-Burning Aerosols and Meteorology over the Southeast Atlantic, J. Climate, 31, 4329-4346, doi:10.1175/JCLI-D-17-0406.1.
Burton, S., et al. (2018), Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES, Appl. Opt., 57, 6061-6075, doi:10.1364/AO.57.006061.
Diamond, M., et al. (2018), Time-dependent entrainment of smoke presents an observational challenge for assessing aerosol–cloud interactions over the southeast Atlantic Ocean, Atmos. Chem. Phys., 18, 14623-14636, doi:10.5194/acp-18-14623-2018.
Holben, B., et al. (2018), An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks, Atmos. Chem. Phys., 18, 655-671, doi:10.5194/acp-18-655-2018.
Jethva, H., O. Torres, and C. Ahn (2018), A 12-year long global record of optical depth of absorbing aerosols above the clouds derived from the OMI/OMACA algorithm, Atmos. Meas. Tech., 11, 5837-5864, doi:10.5194/amt-11-5837-2018.
LeBlanc, S. (2018), samuelleblanc/fp: Moving Lines: NASA airborne research flight planning tool release (Version v1.21), Zenodo., doi:10.5281/zenodo.1478126.
Mallet, M., et al. (2019), Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments, Atmos. Chem. Phys., 19, 4963-4990, doi:10.5194/acp-19-4963-2019.
Pistone, K., et al. (2019), Intercomparison of biomass burning aerosol optical properties from in situ and remote-sensing instruments in ORACLES-2016, Atmos. Chem. Phys., 19, 9181-9208, doi:10.5194/acp-19-9181-2019.
Sayer, A. M., et al. (2019), Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data, Atmos. Meas. Tech., 12, 3595-3627, doi:10.5194/amt-12-3595-2019.
Segal-Rozenhaimer, M., et al. (2018), Development of neural network retrievals of liquid cloud properties from multi-angle polarimetric observations, J. Quant. Spectrosc. Radiat. Transfer, 220, 39-51, doi:10.1016/j.jqsrt.2018.08.030.
Star, T., et al. (2018), 4STAR_codes: 4STAR processing codes, Zenodo, doi:10.5281/zenodo.1492912.
Xu, F., et al. (2018), Coupled Retrieval of Liquid Water Cloud and Above-Cloud Aerosol Properties Using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), J. Geophys. Res., 123, 3175-3204, doi:10.1002/2017JD027926.
Zhou, X., et al. (2017), Impacts of solar-absorbing aerosol layers on the transition of stratocumulus to trade cumulus clouds, Atmos. Chem. Phys., 17, 12725-12742, doi:10.5194/acp-17-12725-2017.
Zuidema, P., et al. (2016), Interactions: Smoke and Clouds above the Southeast Atlantic Upcoming Field Campaigns Probe Absorbing Aerosol’s Impact on Climate, Bull. Am. Meteorol. Soc., 19-23, doi:10.1175/BAMS-D-15-00082.1.