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Effects of Model Chemistry and Data Biases on Stratospheric Ozone Assimilation : Volume 7, Issue 11 (12/06/2007)

By Coy, L.

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Book Id: WPLBN0003994829
Format Type: PDF Article :
File Size: Pages 19
Reproduction Date: 2015

Title: Effects of Model Chemistry and Data Biases on Stratospheric Ozone Assimilation : Volume 7, Issue 11 (12/06/2007)  
Author: Coy, L.
Volume: Vol. 7, Issue 11
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2007
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Mccormack, J. P., Eckermann, S. D., Allen, D. R., Hogan, T. F., Coy, L., & Stajner, I. (2007). Effects of Model Chemistry and Data Biases on Stratospheric Ozone Assimilation : Volume 7, Issue 11 (12/06/2007). Retrieved from http://www.ebooklibrary.org/


Description
Description: Space Science Division, Naval Research Laboratory, Washington, D.C., USA. The innovations or observation minus forecast (O–F) residuals produced by a data assimilation system provide a convenient metric of evaluating global analyses. In this study, O–F statistics from the Global Ozone Assimilation Testing System (GOATS) are used to examine how ozone assimilation products and their associated O–F statistics depend on input data biases and ozone photochemistry parameterizations (OPP). All the GOATS results shown are based on a 6-h forecast and analysis cycle using observations from SBUV/2 (Solar Backscatter UltraViolet instrument-2) during September–October 2002. Results show that zonal mean ozone analyses are more independent of observation biases and drifts when using an OPP, while the mean ozone O–Fs are more sensitive to observation drifts when using an OPP. In addition, SD O–Fs (standard deviations) are reduced in the upper stratosphere when using an OPP due to a reduction of forecast model noise and to increased covariance between the forecast model and the observations. Experiments that changed the OPP reference state to match the observations by using an adaptive OPP scheme reduced the mean ozone O–Fs at the expense of zonal mean ozone analyses being more susceptible to data biases and drifts. Additional experiments showed that the upper boundary of the ozone DAS can affect the quality of the ozone analysis and therefore should be placed well above (at least a scale height) the region of interest.

Summary
Effects of model chemistry and data biases on stratospheric ozone assimilation

Excerpt
Allen, D. R., Coy, L., Eckermann, S. D., McCormack, J. P., Manney, G. L., Hogan, T. F., and Kim, Y.-J.: NOGAPS-ALPHA simulations of the 2002 Southern Hemisphere stratospheric major warming, Mon. Wea. Rev., 134, 498–518, 2006.; Bhartia, P. K., McPeters, R. D., Mateer, C. L., Flynn, L. E., and Wellemeyer, C.: Algorithm for the estimation of vertical ozone profiles from the backscattered ultraviolet technique, J. Geophys. Res., 101, 18 793–18 806, 1996.; Bloom, S., da Silva, A., Dee, D., Bosilovich, M., Chern, J.-D., Pawson, S., Schubert, S., Sienkiewicz, M., Stajner, I., Tan, W.-W., and Wu, M.-L.: Documentation and validation of the Goddard Earth Observing System (GEOS) data assimilation system – version 4, NASA Tech. Mem. NASA/TM–2005–104606, 15, Technical Report Series on Global Modeling and Data Assimilation, edited by: Suarez, M. J., 165 pp., available online at http://ntrs.nasa.gov, 2005.; Cariolle, D. and Déqué, M.: Southern hemisphere medium-scale waves and total ozone disturbances in a spectral general circulation model, J. Geophys. Res., 91, 10 825–10 846, 1986.; Cohn, S. E., da Silva, A., Guao, J., Sienkiewicz, M., and Lamich, D.: Assessing the effects of data selection with the DAO physical-space statistical analysis system, Mon. Wea. Rev., 126, 2913–2926, 1998.; Daley, R. and Barker, E.: NAVDAS: formulation and diagnostics, Mon. Wea. Rev., 129, 869–883, 2001.; Dee, D. P.: Bias and data assimilation, Quart J Roy. Meteorol Soc., 131, 3323–3343, 2005.; Derber, J. C. and Wu, W. S.: The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system, Mon. Wea. Rev., 126, 2287–2299, 1998.; Dethof, A. and Holm, E. V.: Ozone assimilation in the ERA-40 reanalysis project, Quart. J. Roy. Meteorol. Soc., 130, 2851–2872, 2004.; Eckermann, S. D., McCormack, J. P., Coy, L., Allen, D., Hogan, T., and Kim, Y.-J.: NOGAPS-ALPHA: A prototype high-altitude global NWP model, Preprint Vol. Symposium on the 50th. Anniversary of Operational Numerical Weather Prediction, American Meteorological Society, University of Maryland, College Park, MD, 14–17 June, Paper P2.6, 23 pp, available online at http://uap-www.nrl.navy.mil/dynamics/papers/Eckermann_P2.6-reprint.pdf, 2004.; Eckermann, S. D., Wu, D. L., Doyle, J. D., Burris, J. F., McGee, T. J., Hostetler, C. A., Coy, L., Lawrence, B. N., Stephens, A., McCormack, J. P., and Hogan, T. F.: Imaging gravity waves in lower stratospheric AMSU-A radiances, Part 2: Validation case study, Atmos. Chem. Phys., 6, 3343–3362, 2006.; Fleming, E. L., Chandra, S., Barnett, J. J., and Corney, M.: Zonal mean temperature, pressure, zonal wind, and geopotential height as functions of latitude, COSPAR International Reference Atmosphere: 1986, Part II: middle atmosphere models, Adv. Space Res., 10(12), 11–59, 1990.; Fortuin, J. P. F. and Kelder, H.: An ozone climatology based on ozonesonde and satellite measurements, J. Geophys. Res., 103, 31 709–31 734, 1998.; Geer, A. J., Peubey, C., Bannister,~R N., Brugge,~R., Jackson,~D R., Lahoz,~W A., Migliorini,~S., O'Neill,~A., and Swinbank,~R.: Assimilation of stratospheric ozone from MIPAS into a global general-circulation model: The September~2002 vortex split, Quart J Roy. Meteorol Soc., 132, 231–257, 2006.; Geer, A. J., Lahoz,~W A., Jackson,~D R., Cariolle,~D., and McCormack,~J P.: Evaluation of linear ozone photochemistry parameterizations in a stratosphere-troposphere data assimilation system, Atmos. Chem. Phys., 7, 939–959, 2007.; John, V. O. and Buehler, S. A.: The impact of ozone lines on AMSU-B radiances, Geophys. Res. Lett., 31, L21108, doi:10.1029/2004GL021214, 2004.; Grooss, J.-U. and Russell III, J. M.: Technical note: a stratospheric climatology for O3, H2O, CH4, NOx, HCl and HF derived from HALO

 

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