• \
    Start Submission Become a Reviewer

    Reading: Impact assessment of prospective spaceborne Doppler wind lidar observation scenarios

    Download

     A- A+
    Alt. Display

    Original Research Papers

    Impact assessment of prospective spaceborne Doppler wind lidar observation scenarios

    Authors:

    Gert-Jan Marseille ,

    KNMI, Wilhelminalaan 10, De Bilt, NL
    X close

    Ad Stoffelen,

    KNMI, Wilhelminalaan 10, De Bilt, NL
    X close

    Jan Barkmeijer

    KNMI, Wilhelminalaan 10, De Bilt, NL
    X close

    Abstract

    Anticipating on the success of ADM-Aeolus there is a need to specify the wind observation requirements for the definition of an operational network of spaceborne Doppler wind lidars (DWL) in the post-ADM era, beyond 2012. As a first step, Sensitivity Observing System Experiments (SOSE) have been conducted to investigate the added value of various DWL scenarios in real events with bad forecasts. A database of cases covering the worst 2-d forecasts over Europe and North America for each season over the 1998–2004 period was used for this purpose. Considered DWL scenarios include (i) trains of the Aeolus-type instrument to increase the coverage of single wind components, (ii) a scenario having the same coverage as Aeolus but measuring the complete wind vector and (iii) a targeting scenario giving maximum coverage over the storm track regions. For the Northern Hemisphere extratropics it was found that a DWL network providing a geographically uniform sampling is more beneficial for numerical weather prediction (NWP) than a network providing larger but more localized improvements. A network of Aeolus-type satellites fulfils this goal. The added benefits of a second and third Aeolus in orbit are, respectively, 70 and 110% of the benefit of a single Aeolus DWL.

    How to Cite: Marseille, G.-J., Stoffelen, A. and Barkmeijer, J., 2008. Impact assessment of prospective spaceborne Doppler wind lidar observation scenarios. Tellus A: Dynamic Meteorology and Oceanography, 60(2), pp.234–248. DOI: http://doi.org/10.1111/j.1600-0870.2007.00289.x
    1
    Views
      Published on 01 Jan 2008
    Peer Reviewed
     CC BY 4.0
     Accepted on 15 Oct 2007            Submitted on 15 Jan 2007

    References

    1. Dubock , P. 2006 . Programmatics and Concepts for ADM-Aeolus follow-on Missions. In: Proceedings of the first ADM-Aeolus workshop held at ESA-ESTEC, Noordwijk, the Netherlands on 26-28 September 2006. Available from http://www.esa.int/esaLP/SEM3YOLKKSE_ LPadmaeolus_0.html  

    2. European Space Agency 1999. Atmospheric dynamics mission. The four-candidate earth-explorer missions. Report for mission selection. ESA Report ESA-SP-1233(4). ESA Report ESA-SP-1233(4)  

    3. Kelly , G. 2004 . OSEs of all main data types in the ECMWF opera-tional system. In: Proceedings of the Third WMO Workshop on the Impact of Various Observing Systems on IVWP, Alpbach, Austria, 63-94.  

    4. Marseille , G. J. and Stoffelen , A . 2003 . Simulation of wind profiles from a space-borne Doppler wind lidar. Q. J. R. MeteoroL Soc . 129 , 3079 - 3098 .  

    5. Marseille , G. J. , Stoffelen , A. and Barkmeijer , J . 2006 . PIEW - Prediction Improvement of Extreme Weather. Final report for ESA contract No . 171 I2/03/NL/MM .  

    6. Marseille , G. J. , Stoffelen , A. and Barkmeijer , J. 2007a . Sensitivity Ob-serving System Experiment (SOSE)-a new effective NVVP-based tool in designing the global observing system . Tellus 60A , DOI: https://doi.org/10.1111/j.1600-0870.2007.00288.x  

    7. Marseille , G. J. , Stoffelen , A. and Barkmeijer , J. 2007b . A cycled sensi-tivity observing system experiment on simulated Doppler wind li-dar data during the 1999 Christmas storm “Martin” . Tellus 60A , DOI: https://doi.org/10.1111/j.1600-0870.2007.00290.x  

    8. McNally , A. P. 2002 . A note on the occurrence of cloud in meteoro-logically sensitive areas and the implications for advanced infrared sounders . Q. J. R. MeteoroL Soc . 128 , 2251 – 2256 .  

    9. Shapiro , M. and Thorpe , A. 2004 . THORPEX International Science Plan, vs. 3. WMO/TD-No. 1246, WWRPITHORPEX No. 2.  

    10. Spinhirne , J. D. , Palm , S. P. , Hart , W. D. , Hlavka , D. L. and Welton , E. J. 2005 . Cloud and aerosol measurement from GLAS: overview and initial results). Geophys. Res. Lett . 32 , L22503, 1 - 5 .  

    11. Stoffelen , A. , Pailleux , J. , Kallen , E. , Vaughan , J. M., Isalcsen , L. and co-authors. 2005 . The atmospheric dynamics mission for global wind measurement . Bull. Am. MeteoroL Soc . 86 , 73 - 87 .  

    12. Stoffelen , A. , Marseille , G. J. , Bouttier , F. , Vasiljevic , D. , de Haan , S. and co-authors. 2006. ADM-Aeolus Doppler wind lidar observing system simulation experiment . Q. J. R. MeteoroL Soc . 132 , 1927– 1947 .  

    13. Tan , D. G. H. and Andersson , E. 2005 . Simulation of the yield and accu-racy of wind profile measurements from the Atmospheric Dynamics Mission (ADM-Aeolus) . Q. J. R. MeteoroL Soc . 131 , 1737 – 1757 .  

    14. Uppala , S. M. , Milberg , P. W. , Simmons , A. J. , Andrae , U., da Costa Bechtold , V. and co-authors . 2005 . The ERA-40 re-analysis. Q. J. R. MeteoroL Soc . 131 , 2961 - 3012 .  

    15. Vaughan , J. M. , Alejandro , S. B. , Nash , C. , Brown , D. W. and Koenig , G. G. 1995 . Atlantic atmospheric aerosol studies 2. Compendium of airborne bacicscatter measurements at 10.6 µm). J. Geophys. Res . 100 , 1043 - 1065 .  

    16. Winker , D. M. , Couch , R. H. and McCormick , M. P. 1996 . An overview of LITE: NASA’s lidar in-space technology experiment . Proc. IEEE 84 ( No. 2 ), 164 – 180 .  

    17. WMO WMO200 . Proceedings of the Third WMO Workshop on the Impact of Various Observing Systems on IVWP, Alpbach, Austria.  

    Jump to Discussions Related content
    comments powered by Disqus