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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.
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Preprints
https://doi.org/10.5194/acp-2020-656
https://doi.org/10.5194/acp-2020-656

  13 Oct 2020

13 Oct 2020

Review status: this preprint is currently under review for the journal ACP.

The potential for geostationary remote sensing of NO2 to improve weather prediction

Xueling Liu1, Arthur P. Mizzi2,a, Jeffrey L. Anderson3, Inez Fung1, and Ronald C. Cohen1,4 Xueling Liu et al.
  • 1Department of Earth and Planetary Science, University of California at Berkeley, Berkeley, CA, USA
  • 2Atmospheric Chemistry Observation and Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
  • 3Institute for Mathematics Applied to Geosciences, National Center for Atmospheric Research, Boulder, CO, USA
  • 4Department of Chemistry, University of California at Berkeley, Berkeley, CA, USA
  • anow at: NCAR/DAREs Visitor and at NASA Ames Research Center, USA

Abstract. Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as plumes whose location is affected by boundary layer winds and with a lifetime affected by boundary layer height and mixing. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.

Xueling Liu et al.

 
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Status: final response (author comments only)
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Xueling Liu et al.

Xueling Liu et al.

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Short summary
Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Here we investigate the application of data assimilation of NO2 columns as will be observed from geostationary orbit to improve predictions and retrospective analysis of wind fields in the boundary layer.
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