EGU2020-6121, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-6121
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development of Ensemble-based Assimilation System for Aerosol Forecasting and Reanalysis at NOAA

Mariusz Pagowski1,2, Cory Martin3,4, Bo Huang1,2, Daryl Kleist4, and Shobha Kondragunta5
Mariusz Pagowski et al.
  • 1CIRES, CU Boulder
  • 2NOAA/ESRL/GSD, Boulder, United States of America (mariusz.pagowski@noaa.gov)
  • 3Redline Performance Solutions LLC
  • 4NOAA/NWS/NCEP/EMC
  • 5NOAA/NESDIS/STAR

In 2016 NOAA chose the FV3 (Finite Volume) dynamical core as a basis for its future global modeling system. For aerosol modeling this dynamical core was supplemented with GFS (Global Forecast System) physics and coupled through an interface with GOCART (Goddard Global Ozone Chemistry Aerosol Radiation and Transport) parameterization. The assimilation methodology relies on a hybrid variational-ensemble approach within the newly developed model-agnostic JEDI (Joint Effort for Data assimilation Integration) framework. Observations include 550 nm AOD retrievals from VIIRS (Visible Infrared Imaging Radiometer Suite) instruments on polar-orbiting  SNPP and NOAA-20 satellites. The system is under development and early its results are compared with NASA'a MERRA-2 and ECMWF's CAMSiRA reanalyses.  

 

How to cite: Pagowski, M., Martin, C., Huang, B., Kleist, D., and Kondragunta, S.: Development of Ensemble-based Assimilation System for Aerosol Forecasting and Reanalysis at NOAA, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6121, https://doi.org/10.5194/egusphere-egu2020-6121, 2020

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