Global High Resolution Dust Emission Inventory for Chemical Transport Models

<p><strong>Overview:</strong><br> ==================================================================================</p> <p>Offline dust emissions in 2016 are now available at 0.25&deg; x 0.3125&deg; resolution. This dataset is&nbsp;calculated&nbsp;using the native resolution <a href="http://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-FP">GMAO meteorology (GEOS-FP) fields</a>.&nbsp;</p> <p>Codes and Instructions (README file in the GitHub repository)&nbsp;to generate these&nbsp;offline emissions can be found on <a href="https://github.com/Jun-Meng/geos-chem/tree/v11-01-Patches-UniCF-vegetation">GitHub</a>.</p> <p>The offline emissions in this database&nbsp;have no scale factor applied,&nbsp;so users should apply the required scale factor in their application.&nbsp;Suggested scale factor&nbsp;to make the global&nbsp;total annual dust emission to 2000 Tg is&nbsp;5.7141e-4.&nbsp;</p> <p><br> <strong>Zip File Details:</strong><br> ===============================================================================</p> <p>2016.zip&nbsp;contains daily (366 in total)&nbsp;netCDF files (stored in monthly folders)&nbsp;of global gridded&nbsp;hourly mineral dust emission&nbsp;flux&nbsp;rate.&nbsp;&nbsp;</p> <p>&nbsp;</p> <p>Individual file:&nbsp;</p> <p>/YYYY/MM/dust_emissions_025x0.3125.YYYYMMDD.nc</p> <p>&nbsp; &nbsp; &nbsp;Resolution &nbsp;: 0.25 x 0.3125 grid (721 x 1152 boxes)<br> &nbsp; &nbsp; &nbsp;Units &nbsp; &nbsp; &nbsp; : kg m-2 s-1<br> &nbsp; &nbsp; &nbsp;Timestamps &nbsp;: Hourly, 2016<br> &nbsp; &nbsp; &nbsp;Compression : Level 1 (nccopy -d1)<br> &nbsp; &nbsp; &nbsp;Chunking &nbsp; &nbsp;: nccopy -c lon/1152,lat/721,time/24</p> <p>&nbsp;</p> <p>Variables in each file:&nbsp;</p> <p>EMIS_DST1,&nbsp;EMIS_DST2,&nbsp;EMIS_DST3&nbsp;and&nbsp;EMIS_DST4 represent dust emission flux rate in&nbsp;four size bins (0.1-1.0, 1.0-1.8, 1.8-3.0, and 3.0-6.0 micro in&nbsp;radius).&nbsp;</p> <p>&nbsp;</p> <p>*<em>Version 2020_v1.0 of this&nbsp;dataset was produced to accompany the following manuscript:<br> Meng, Jun, R. V. Martin, P. Ginoux, M. Hammer, M. P. Sulprizio, D. A. Ridley, and A. van Donkelaar,&nbsp;Grid-independent high resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (version 12.5.0),&nbsp;Geoscientific Model Development, Submitted</em></p>