The authors did a fine job at exploring and answering all the suggestions provided by the 2 reviewers. They included further comparisons with observations in particular with the AERONET measurements that were available over the modelled area.
There is one remark of the reviewer where they did not explore all the aspect of the litterature, the one on the absorption of dust:
"2.2 Radiation: We agree that the complex refractive index is probably one of the sensitivie parameter for this kind of study.
Please provide more precisely the values used (a figure for example). Did you already made sensitivity tests to have the range
of uncertainty of your results?"

Many studies starting in 2001, reported that the refractive indices of dust that are used in simulations include values of the imaginary parts that are substantially above what measurements or mineralogical composition suggest. This is particularly true in the range 300 to 500nm i.e. part of the SW spectrum.
Here are three references that have started pointing out to the discrepancies in refractive indices:
Kaufman, Y. J., Tanr´e, D., Dubovik, D. O., Karnieli, A., and Remer,
L. A.: Absorption of sunlight by dust as inferred from satellite
and ground-based remote sensing, Geophys. Res. Lett., 28,
1479–1482, 2001.

Moulin, C., Gordon, H. R., Banzon, V. F., and Evans, R. H.: Assessment
of Saharan dust absorption in the visible from Sea-
WiFS imagery, J. Geophys. Res., 106(D16), 18 239–18 250,
doi:10.1029/2000JD900812, 2001.

Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81-95, https://doi.org/10.5194/acp-7-81-2007, 2007.

For the longwave part of the spectrum, new measurements have pointed out to a much more narrow enveloppe of values than previously proposed:
Di Biagio, C., Formenti, P., Balkanski, Y., Caponi, L., Cazaunau, M., Pangui, E., Journet, E., Nowak, S., Caquineau, S., Andreae, M. O., Kandler, K., Saeed, T., Piketh, S., Seibert, D., Williams, E., and Doussin, J.-F.: Global scale variability of the mineral dust long-wave refractive index: a new dataset of in situ measurements for climate modeling and remote sensing, Atmos. Chem. Phys., 17, 1901-1929, https://doi.org/10.5194/acp-17-1901-2017, 2017.

You might want to mention these constraints in your paper that can now go into production in ACP.

Sincerely,

Yves Balkanski