EGU2020-11090
https://doi.org/10.5194/egusphere-egu2020-11090
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assimilation of Aerosol Observations in the NASA GEOS model

Virginie Buchard1,2, Arlindo da Silva1, Dan Holdaway1,3, and Ricardo Todling1
Virginie Buchard et al.
  • 1Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, MD, USA (virginie.buchard@nasa.gov)
  • 2Goddard Earth Sciences Technology and Research, Universities Space Research Association, MD, USA.
  • 3Joint Center for Satellite Data Assimilation, MD, USA

In the GEOS near real-time system, as well as in MERRA-2 which is the latest reanalysis produced at NASA’s Global Modeling Assimilation Office (GMAO), the assimilation of aerosol observations is performed by means of a so-called analysis splitting method. The prognostic model is based on the GEOS model radiatively coupled to GOCART aerosol module and includes assimilation of bias-corrected Aerosol Optical Depth (AOD) at 550 nm from various space-based remote sensing platforms.

Along with the progress made in the JCSDA-Joint Effort for Data Assimilation Integration (JEDI) framework, we have developed a prototype including GEOS aerosols as a component of the JEDI framework. Using members produced by the GEOS hybrid meteorological data assimilation system, we are updating the aerosol component of our assimilation system to a variational ensemble type of scheme. In this talk we will examine the impact of replacing the current analysis splitting scheme with this new approach. By including the assimilation of satellite-based single and multi-channel retrievals; we will discuss the impact of this aerosol data assimilation technique on the 3D aerosol distributions by means of innovation statistics and verification against independent datasets such as the Aerosol Robotic Network (AERONET) and surface PM2.5.

How to cite: Buchard, V., da Silva, A., Holdaway, D., and Todling, R.: Assimilation of Aerosol Observations in the NASA GEOS model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11090, https://doi.org/10.5194/egusphere-egu2020-11090, 2020

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