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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Accurate air quality forecasts are critical to protecting human health and the environment. This paper shows how ensemble assimilation of MOPITT CO compact phase space retrieval (CPSR) profiles in WRF-Chem/DART provides significant improvements in the air quality forecasts over the CONUS when compared to independent remote (IASI CO retrieval profiles) and in situ (IAGOS/MOZAIC) observations. It also extends the CPSR algorithm to assimilation of truncated retrieval profiles.
Articles | Volume 11, issue 9
Geosci. Model Dev., 11, 3727–3745, 2018
https://doi.org/10.5194/gmd-11-3727-2018

Special issue: The community version of the Weather Research and Forecasting...

Geosci. Model Dev., 11, 3727–3745, 2018
https://doi.org/10.5194/gmd-11-3727-2018

Development and technical paper 17 Sep 2018

Development and technical paper | 17 Sep 2018

Assimilating compact phase space retrievals (CPSRs): comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of truncated retrieval profiles

Arthur P. Mizzi et al.

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Latest update: 20 Jan 2021
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Short summary
Accurate air quality forecasts are critical to protecting human health and the environment. This paper shows how ensemble assimilation of MOPITT CO compact phase space retrieval (CPSR) profiles in WRF-Chem/DART provides significant improvements in the air quality forecasts over the CONUS when compared to independent remote (IASI CO retrieval profiles) and in situ (IAGOS/MOZAIC) observations. It also extends the CPSR algorithm to assimilation of truncated retrieval profiles.
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