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DUST-GLASS aims to enhance global dust prediction and monitoring by integrating advanced data assimilation techniques with an atmospheric dust model. It focuses on developing a comprehensive dust optical depth database and improving forecasting capabilities for dust transport.
DUST-GLASS aims at improving global dust prediction and monitoring by optimizing an advanced data assimilation system (LETKF scheme) coupled with a sophisticated atmospheric-dust model (NMMB/BSC-Dust).
For the accomplishment of these core scientific goals, a fine resolution (0.1o x 0.1o) global dust optical depth (DOD) database, suitable for data assimilation, will be developed via a synergy of state-of-the-art Level 2 satellite retrievals acquired by MODIS, MISR and OMI sensors (2007-2016).
The…
NATIONAL OBSERVATORY OF ATHENS
ETHNIKO ASTEROSKOPEIO ATHINON
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