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NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric composition
  • +13
  • K. Emma Knowland,
  • Christoph A. Keller,
  • Pamela A Wales,
  • Krzysztof Wargan,
  • Lawrence Coy,
  • Matthew S Johnson,
  • Junhua Liu,
  • Robert A Lucchesi,
  • Sebastian David Eastham,
  • Eric L. Fleming,
  • Qing Liang,
  • Thierry Leblanc,
  • Nathaniel J Livesey,
  • Kaley A. Walker,
  • Lesley E. Ott,
  • Steven Pawson
K. Emma Knowland
Universities Space Research Association

Corresponding Author:[email protected]

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Christoph A. Keller
Universities Space Research Association
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Pamela A Wales
University of Maryland, College Park
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Krzysztof Wargan
Science Systems and Applications, Inc.
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Lawrence Coy
SSAI
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Matthew S Johnson
NASA Ames Research Center
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Junhua Liu
Universities Space Research Association
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Robert A Lucchesi
Science Systems and Applications, Inc
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Sebastian David Eastham
Massachusetts Institute of Technology
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Eric L. Fleming
NASA/Goddard Space Flight Center, Science Systems and Applications, Inc.
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Qing Liang
NASA GSFC
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Thierry Leblanc
Jet Propulsion Laboratory
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Nathaniel J Livesey
Jet Propulsion Laboratory
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Kaley A. Walker
University of Toronto
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Lesley E. Ott
NASA Goddard Space Flight Center
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Steven Pawson
NASA Goddard Space Flight Center
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Abstract

The NASA Goddard Earth Observing System (GEOS) Composition Forecast (GEOS-CF) provides recent estimates and five-day forecasts of atmospheric composition to the public in near-real time. To do this, the GEOS Earth system model is coupled with the GEOS-Chem tropospheric-stratospheric unified chemistry extension (UCX) to represent composition from the surface to the top of the GEOS atmosphere (0.01 hPa). The GEOS-CF system is described, including updates made to the GEOS-Chem UCX mechanism within GEOS-CF for improved representation of stratospheric chemistry. Comparisons are made against balloon, lidar and satellite observations for stratospheric composition, including measurements of ozone (O3) and important nitrogen and chlorine species related to stratospheric O3 recovery. The GEOS-CF nudges the stratospheric O3 towards the GEOS Forward Processing (GEOS FP) assimilated O3 product; as a result the stratospheric O3 in the GEOS-CF historical estimate agrees well with observations. During abnormal dynamical and chemical environments such as the 2020 polar vortexes, the GEOS-CF O3 forecasts are more realistic than GEOS FP O3 forecasts because of the inclusion of the complex GEOS-Chem UCX chemistry. Overall, the spatial pattern of the GEOS-CF simulated concentrations of stratospheric composition agrees well with satellite observations. However, there are notable biases – such as low NOx and HNO3 in the polar regions and generally low HCl throughout the stratosphere – and future improvements to the chemistry mechanism and emissions are discussed. GEOS-CF is a new tool for the research community and instrument teams observing trace gases in the stratosphere and troposphere, providing near-real-time three-dimensional gridded information on atmospheric composition.