Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1.1 NOTE: PLEASE, USE THIS VERSION OF THE DATASET This is the version-1 of DustCOMM dataset (Adebiyi et al. Geoscientific Model Development), containing annual and seasonal climatologies of constrained dust aerosol properties, including spatially-varying dust size distribution, mass extinction efficiency, and atmospheric dust loading. Please be aware that there will be future versions of DustCOMM that incorporates more observational, modeling and experimental constraints. Please send an email to the corresponding authors if you have any question or would like to receive update of DustCOMM's future developments. Below, we give a brief description of each data file. In each, we have included the mean, median, 1 and 2 sigma uncertainty estimates as a function of location. These uncertainty estimates are derived from probability distributions that describe the field over each location. Please contact the corresponding authors if you are interested in the full dataset. The dimensions in these dataset are denoted as: lon [144] -- Longitude. Unit of degrees_east. Global - 2.5 deg resolution. lat [96] -- Latitude. Unit of degrees_north. Global - ~2 deg resolution lev [35] -- Pressure levels. Unit of hPa. ~900 hPa to 100 hPa. Lower resolution in the boundary layer and higher resolution in the free troposphere. D [200] -- Dust Geometric Diameter. Unit of microns. From 0.2-20 microns. nseas [4] -- Seasons. They are DJF, MAM, JJA, and SON corresponding to December-January-February, March-April-May, June-July-August, and September-October-December respectively. -------- Dust_Size_Distr_dVdD_annual.nc - Dimension: [lon, lat, lev, D] Dust_Size_Distr_dVdD_seasonal.nc - Dimension: [nseas, lon, lat, lev, D] -- DustCOMM annual and seasonal climatologies of 3-D normalized dust (volume) size distribution. Fields include: -> dVdD_mean -- Mean Normalized Dust Volume Size Distribution -> dVdD_median -- Median Normalized Dust Volume Size Distribution -> dVdD_Pos1sig -- +1 Sigma Normalized Dust Volume Size Distribution -> dVdD_Neg1sig -- -1 Sigma Normalized Dust Volume Size Distribution -> dVdD_Pos2sig -- +2 Sigma Normalized Dust Volume Size Distribution -> dVdD_Neg2sig -- -2 Sigma Normalized Dust Volume Size Distribution -------- Dust_3D_MEE_annual.nc - Dimension: [lon, lat, lev] Dust_3D_MEE_seasonal.nc - Dimension: [nseas, lon, lat, lev] -- DustCOMM annual and seasonal climatologies of 3-D dust mass extinction efficiency (m2/g). Fields include: -> MEE_mean -- Mean Dust 3D Mass Extinction Efficiency -> MEE_median -- Median Dust 3D Mass Extinction Efficiency -> MEE_Pos1sig -- +1 Sigma Dust 3D Mass Extinction Efficiency -> MEE_Neg1sig -- -1 Sigma Dust 3D Mass Extinction Efficiency -> MEE_Pos2sig -- +2 Sigma Dust 3D Mass Extinction Efficiency -> MEE_Neg2sig -- -2 Sigma Dust 3D Mass Extinction Efficiency -------- Dust_2D_MEE_annual.nc - Dimension: [lon, lat] Dust_2D_MEE_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D dust mass extinction efficiency (m2/g). Fields include: -> MEE_mean -- Mean Dust 2D Mass Extinction Efficiency -> MEE_median -- Median Dust 2D Mass Extinction Efficiency -> MEE_Pos1sig -- +1 Sigma Dust 2D Mass Extinction Efficiency -> MEE_Neg1sig -- -1 Sigma Dust 2D Mass Extinction Efficiency -> MEE_Pos2sig -- +2 Sigma Dust 2D Mass Extinction Efficiency -> MEE_Neg2sig -- -2 Sigma Dust 2D Mass Extinction Efficiency -------- Dust_Load_annual.nc - Dimension: [lon, lat] Dust_Load_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D atmospheric dust loading (g/m2). Fields include: -> Load_mean -- Mean Atmospheric Dust Loading -> Load_median -- Median Atmospheric Dust Loading -> Load_Pos1sig -- +1 Sigma Atmospheric Dust Loading -> Load_Neg1sig -- -1 Sigma Atmospheric Dust Loading -> Load_Pos2sig -- +2 Sigma Atmospheric Dust Loading -> Load_Neg2sig -- -2 Sigma Atmospheric Dust Loading ========================== Correspondng Authors: Adeyemi Adebiyi and Jasper Kok Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, CA, USA Email: aadebiyi@ucla.edu and jfkok@ucla.edu

This work was developed with support from the University of California President's Postdoctoral Fellowship awarded to A.A.A. We also acknowledge support from National Science Foundation (NSF) grants 1552519 and 1856389 awarded to J.F.K. Chun Zhao is supported by the National Natural Science Foundation of China NSFC (Grant No. 41775146), and Akinori Ito is supported by the Japan Society for the Promotion of Science KAKENHI Grant Number JP16K00530 and Integrated Research Program for Advancing Climate Models (MEXT).