Assimilating compact phase space retrievals of atmospheric composition  with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter  data assimilation system

Mizzi, Arthur P.; Arellano Jr., Avelino F.; Edwards, David P.; Anderson, Jeffrey L.; Pfister, Gabriele G.

doi:10.5194/gmd-9-965-2016

Articles | Volume 9, issue 3

https://doi.org/10.5194/gmd-9-965-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The community version of the Weather Research and Forecasting...

https://doi.org/10.5194/gmd-9-965-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 3

Development and technical paper

|

04 Mar 2016

Development and technical paper |

| 04 Mar 2016

Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system

Arthur P. Mizzi, Avelino F. Arellano Jr., David P. Edwards, Jeffrey L. Anderson, and Gabriele G. Pfister

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Cumulative views and downloads (calculated since 08 Sep 2015)

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Feb 2026	26	5	0	31

Latest update: 08 Feb 2026

Short summary

This paper introduces (i) WRF-Chem/DART – a state-of-the-art chemical transport/data assimilation system, and (ii) compact phase space retrievals (CPSRs). WRF-Chem/DART is NCAR's regional chemical weather forecasting prototype. Such systems require assimilation of chemical composition observations, such as trace gas retrievals. Retrievals are expensive to assimilate. CPSRs reduce those assimilation costs (~ 35 % for MOPITT CO) without loss in forecast skill by removing redundant information.