Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-2999-2018
https://doi.org/10.5194/acp-18-2999-2018
Research article
 | 
02 Mar 2018
Research article |  | 02 Mar 2018

Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM

Douglas R. Allen, Karl W. Hoppel, and David D. Kuhl

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Wind extraction potential from 4D-Var assimilation of stratospheric O3, N2O, and H2O using a global shallow water model
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Subject: Dynamics | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Stratosphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Allen, D. R., Stanford, J. L., Elson, L. S., Fishbein, E. F., Froidevaux, L., and Waters, J. W.: The 4-day wave as observed from the Upper Atmosphere Research Satellite Microwave Limb Sounder, J. Atmos. Sci., 54, 420–434, 1997. 
Allen, D. R., Hoppel, K. W., Nedoluha, G. E., Kuhl, D. D., Baker, N. L., Xu, L., and Rosmond, T. E.: Limitations of wind extraction from 4D-Var assimilation of ozone, Atmos. Chem. Phys., 13, 3501–3515, https://doi.org/10.5194/acp-13-3501-2013, 2013. 
Allen, D. R., Hoppel, K. W., and Kuhl, D. D.: Wind extraction potential from 4D-Var assimilation of stratospheric O3, N2O, and H2O using a global shallow water model, Atmos. Chem. Phys., 14, 3347–3360, https://doi.org/10.5194/acp-14-3347-2014, 2014. 
Allen, D. R., Hoppel, K. W., and Kuhl, D. D.: Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model, Atmos. Chem. Phys., 15, 5835–5850, https://doi.org/10.5194/acp-15-5835-2015, 2015. 
Allen, D. R., Hoppel, K. W., and Kuhl, D. D.: Hybrid ensemble 4DVar assimilation of stratospheric ozone using a global shallow water model, Atmos. Chem. Phys., 16, 8193–8204, https://doi.org/10.5194/acp-16-8193-2016, 2016. 
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This study examines whether ozone data in the stratosphere (10–50 km altitude) can be used to benefit weather forecasts. The approach involves creating simulated ozone data and assimilating these into the US Navy's global weather model. Key findings are that assimilation of dense and accurate ozone data markedly benefits winds and temperature. However, the benefit is small when realistic ozone data are assimilated along with currently available microwave and infrared sounding measurements.
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