Assimilating data from a simulated global constellation of stratospheric balloons

Quarterly Journal of the Royal Meteorological Society

Volumn 130, Issue 602 PART A, 2004, Pages 2475-2493

  Keil, M ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

Long duration balloons; Middle atmosphere analyses; Observation network

Indexed keywords

CLIMATOLOGY; COMPUTER SIMULATION; DATA REDUCTION; ERROR STATISTICS; WEATHER FORECASTING;

GLOBAL CONSTELLATION; GLOBAL OBSERVING SYSTEMS; WARMING PERIOD;

UPPER ATMOSPHERE;

BALLOON OBSERVATION; DATA ASSIMILATION; ERROR ANALYSIS; STRATOSPHERE;

EID: 8344282767     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/qj.03.219     Document Type: Article

References (24)

1. Atlas, R. 1997 'Observing systems simulation experiments: methodology, examples and limitations'. Pp. 155-163 in Proceedings of the CGM/WMO workshop on the impact of various observing systems on numerical weather prediction, Geneva, 7-9 April, 1997. WMO World Weather Watch Tech. Rep. 18, World Meteorological Organization, Geneva, Switzerland
2. Bader, M. J. and Graham, R. J. 1996 'Impact of observations in NWP models: Techniques and results of recent studies'. Forecasting Research Division Scientific Paper 42, Met Office, Exeter, UK
3. Boorman, P. M., Swinbank, R. and Ortland, D. A. 2000 'Assimilation of directly measured stratospheric winds into the Unified Model'. Forecasting Research Technical Report 332, Met. Office, Exeter, UK
4. Cullen, M. J. P. 1993 The unified forecast/climate model. Meteorol. Mag., 122, 81-94
5. English, S. J., Renshaw, R. J., Dibben, P. C., Smith, A. J., Rayer, P. J., Poulsen, C., Saunders, F. J. and Eyre, J. R. 2000 A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts. Q. J. R. Meteorol. Soc., 126, 2911-2931
6. Girz, C. M. I. R., MacDonald, A. E., Anderson, R. L., Lachenmeir, T., Caracena, F. and Collander, R. 1999 'Global Air-Ocean IN-situ System (GAINS)'. In Proceedings of the American Institute for Aeronautics and Astronautics (AIAA) international balloon technology conference, June 29-July 1, 1999, Norfolk, VA, USA
7. Hays, P B., Abreu, V. J., Dobbs, M. E., Gell, D. A., Grassl, H. A. and Skinner, W. R. 1993 The High-Resolution Doppler Imager on the Upper Atmosphere Research Satellite. J. Geophys. Res., 98, 10713-10723
8. Hertzog, A., Vial, F., Dörnbrack, A., Eckermann, S. D., Knudsen, B. M., and Pommereau, J. P. 2002 In-situ observations of gravity waves and comparisons with numerical simulations during the SOLVE/THESEO 2000 campaign. J. Geophys. Res., 107(D20), 8292, doi: 10.1029/2001JD001025
9. Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A. and Reynolds, B. 1996 The NCEP/NCAR 40-year reanalysis project. Bull. Am. Meteorol. Soc., 77, 437-471
10. Keil, M., Henn, M., Austin, J., Lahoz, W., Lou, G., P. and O'Neill, A. 2001 The use of long-duration balloon data to determine the accuracy of stratospheric analyses and forecasts. J. Geophys. Res., 106, 10229-10312
11. Keil, M. 2002 'The use of long-duration balloon data in stratospheric analyses'. PhD thesis, Reading University, UK
12. Lahoz, W. A., Brugge, R., Jackson, D. R., Migliorini, S., Swinbank, R., Lary, D. and Lee, A. 2004 An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument. Q. J. R. Meteorol. Soc., 130, (in press)
13. Liu, Z. Q. and Rabier, F. 2003 Potential of high-density observations for numerical weather prediction: A study with simulated observations. Q. J. R. Meteorol. Soc., 129, 3013-3036
14. Lorenc, A. C., Graham, R. J., Dharssi, I., Macpherson, B., Ingleby, N. B. and Lunnon, R. W. 1992 'Preparation for the use of Doppler wind lidar information in meteorological data assimilation systems'. European Space Agency Contract Report, S-Div. Sci. Paper 2, Meteorological Office, Exeter, UK
15. Lorenc, A. C., Ballard, S. P., Bell, R. S., Ingleby, N. B., Andrews, P. L. F., Barker, D. M., Bray, J. R., Clayton, A. M., Dalby, T., Li, D., Payne, T. J. and Saunders, F. W. 2000 The Met Office global three-dimensional variational data assimilation scheme. Q. J. R. Meteorol. Soc., 126, 2991-3012
16. Manney, G. L., Sabutis, G. L. and Swinbank, R. 2001 A unique stratospheric warming event in November 2000. Geophys. Res. Lett., 28, 2629-2632
17. Morss, R. E., Emanuel, K. A. and Snyder, C. 2001 Idealized adaptive observation strategies for improving numerical weather prediction. J. Atmos. Sci., 58, 210-232
18. Parrish, D. F. and Derber, J. C. 1992 The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Weather Rev., 120, 1747-1763
19. Reber, C. A., Trevathan, C. E., McNeal, R. J. and Luther, M. R. 1993 The Upper Atmosphere Research Satellite (UARS) mission. J. Geophys. Res., 98, 10643-10647
20. Riishøjgaard, L. P. 1998 A direct way of specifying flow-dependent background error correlations for meteorological analysis systems, Tellus, 50A, 4-57
21. Shapiro, M. A. and Thorpe, A. J. 2003 'THORPEX international science plan'. http://www.mmm.ucar.edu/uswrp/programs/thorpex.html
22. Smith, I. S. and Cutts, J. A. 1999 Floating in space. Scientific American, November 1999, 74-79
23. Swinbank, R., Ingleby, N. B. and Boorman, P. M. 2002 'A 3D variational data assimilation system for the stratosphere and troposphere'. Forecasting Research Scientific Paper 71, Met Office, Exeter, UK
24. Wergen, W. 2000 'Impact studies for a proposed European space-borne wind lidar instrument'. Pp. 199-202 in Proceedings of the second CGM/WMO workshop on the impact of various observing systems on numerical weather prediction, Toulouse, France, 6-8 March 2000. World Weather Watch Tech. Rep. 19