|From||Roger Brugge <email@example.com>|
|Date||Thu, 21 Jan 2021 11:06:01 +0000|
The JCSDA/JEDI project will develop data assimilation (DA) capabilities for atmospheric aerosols and trace gases. This position will focus on prioritization and development of the novel techniques needed to assimilate atmospheric composition observations in the JEDI framework. This includes developing methods to exploit model information on vertical structure and aerosol speciation, given the sparse vertical information content offered by the observations, as well as joint parameter-state estimation to account for uncertainties in transport, emissions, and production/loss processes. Methods will be developed to provide optimal techniques for multi-variate constituent assimilation, that include the uncertainties in emissions and sub-grid transport, the cross-correlations of different species being emitted from various types of sources, and the relatively robust constraints imposed by the accuracy of synoptic and mesoscale features in present-day meteorological analyses. Concepts will be tested using the NASA GEOS-CF constituent data assimilation systems as well as emerging systems in NOAA EMC and elsewhere.
Full details can be seen here:
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