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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 9
Geosci. Model Dev., 11, 3727–3745, 2018
https://doi.org/10.5194/gmd-11-3727-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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Cited articles

Anderson, J. L.: An ensemble adjustment Kalman filter for data assimilation, Mon. Weather Rev., 129, 2884–2903, https://doi.org/10.1175/1520-0493(2001129<2884:AEAKFF>2.CO:2, 2001.
Anderson, J. L.: A local least squares framework for ensemble filtering, Mon. Weather Rev., 131, 634–642, https://doi.org/10.1175/1520-0493(2003)<0634:ALLSFF>2.0.CO:2, 2003.
Anderson, J. L.: Spatially and temporally varying adaptive covariance inflation for ensemble filters, Tellus, 61, 72–83, https://doi.org/10.1111/j.1600-0870.2008.00361.x, 2008.
Anderson, J. L., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., and Arellano, A.: The Data Assimilation Research Testbed: A community facility, B. Am. Meteorol. Soc., 90, 1283–1296, https://doi.org/10.1175/2009BAMS2618.1, 2009.
Arellano Jr., A. F., Raeder, K., Anderson, J. L., Hess, P. G., Emmons, L. K., Edwards, D. P., Pfister, G. G., Campos, T. L., and Sachse, G. W.: Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission, Atmos. Chem. Phys., 7, 5695–5710, https://doi.org/10.5194/acp-7-5695-2007, 2007.
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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.
Accurate air quality forecasts are critical to protecting human health and the environment. This...
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