Atmospheric Composition

Limbacher, J., et al. (2022), The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water, Atmos. Meas. Tech., 15, 6865-6887, doi:10.5194/amt-15-6865-2022.

Adebiyi, A.A., et al. (2022), A review of coarse mineral dust in the Earth system, Aeolian Resrch., 60, 100849, doi:10.1016/j.aeolia.2022.100849.

deSouza, P., et al. (2023), This article can be cited before page numbers have been issued, to do this please use: P. N. deSouza, K., View Article Online, doi:10.1039/D2EA00142J.

Li, Y., et al. (2022), Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: A comparison of three schemes (Briggs, Freitas, and Sofiev), Atmos. Chem. Phys., 23, 3083-3101, doi:10.5194/acp-23-3083-2023.

Kahn, R.A. (2023), Editorial, Spa. Res. Today, 216, 5-6.

Mytilinaios, M., et al. (2023), Comparison of dust optical depth from multi-sensor products and the MONARCH dust reanalysis over Northern Africa, the Middle East and Europe, Atmos. Chem. Phys., 23, 5487-5516, doi:10.5194/acp-23-5487-2023.

Kahn, R.A. (2023), Editorial, Frontiers Earth Sci., 11, 1212045, doi:10.3389/feart.2023.1212045.

Hammer, M.S., et al. (2023), Assessment of the impact of discontinuity in satellite instruments and retrievals on global PM2.5 estimates, Remote Sensing of Environment, 294, 113624, doi:10.1016/j.rse.2023.113624.

Kahn, R.A. (2023), Reducing Aerosol Climate-Forcing Uncertainty: A Three-Way Street To reduce persistent aerosol-climate-forcing uncertainty, new in situ aerosol and cloud measurement programs are needed, plus much better integration of satellite and suborbital measurements, Eos, 104, doi:10.1029/2023EO235016.