Impact of airborne Doppler lidar observations on ECMWF forecasts

Quarterly Journal of the Royal Meteorological Society

Volumn 133, Issue 622, 2007, Pages 107-116

  Weissmann, Martin ^a   Cardinali, Carla ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

Data assimilation; Forecast error; Observation influence; THORPEX

Indexed keywords

ATMOSPHERIC HUMIDITY; DOPPLER RADAR; METEOROLOGICAL RADAR; OPTICAL RADAR; WIND;

DATA ASSIMILATION; FORECAST ERROR; NUMERICAL WEATHER PREDICTION;

WEATHER FORECASTING;

AIRBORNE SENSING; DATA ASSIMILATION; DOPPLER LIDAR; WEATHER FORECASTING; WIND PROFILE;

EID: 33947203365     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1002/qj.16     Document Type: Article

References (29)

1. Andersson E, Järvinen H. 1999. Variational quality control. Q. J. R. Meteorol. Soc. 125: 697-722.
2. Andersson E, Fisher M, Munro R, McNally A. 2000. Diagnosis of background errors for radiances and other observable quantities in a variational data assimilation scheme, and the explanation of a case of poor convergence. Q. J. R. Meteorol. Soc. 126: 1455-1472.
3. Andersson E, Cardinali C, Isaksen L, Garcia-Mendez A. 2001. On the impact of frequent data in ECMWF's 4D-Var scheme: hourly surface pressure data, European profilers and profiling aircraft data. Proceedings of the 8th ECMWF Workshop on Meteorological Operational Systems 179-183.
4. Bastin S, Drobinski P, Dabas A, Delville P, Reitebuch O, Werner C. 2005. Impact of the Rhône and Durance Valleys on sea-breeze circulation in the Marseille area. Atmos. Res. 74: 303-328.
5. Cardinali C, Isaksen L, Andersson E. 2003. Use and impact of automated aircraft data in a global 4DVAR data assimilation system. Mon. Weather Rev. 131: 1865-1877.
6. Cardinali C, Pezzulli S, Andersson E. 2004a. Influence-matrix diagnostic of a data assimilation system. Q. J. R. Meteorol. Soc. 130: 2767-2786.
7. Cardinali C, Rukhovet L, Tenenbaum J. 2004b. Jet stream analysis and forecast error using GADS observations in the DAO, ECMWF, and NCEP models. Mon. Weather Rev. 132: 764-779.
8. Courtier P, Thépaut J-N, Hollingsworth A. 1994. A strategy for operational implementation of 4D-Var, using an incremental approach. Q. J. R. Meteorol. Soc. 120: 1367-1388.
9. Cress A, Wergen W. 2001. Impact of profile observations on the German Weather Service's NWP system. Meteorol. Zeitschrift 10: 91-101.
10. Drobinski P, Bastin S, Guenard V, Caccia J-L, Dabas AM, Delville P, Protat A, Reitebuch O, Werner C. 2004. The Mistral at the exit of the Rhône Valley. Q. J. R. Meteorol. Soc. 130: 1-21.
11. Flentje H, Dörnbrack A, Ehret G, Fix A, Kiemle C, Poberaj G, Wirth M. 2005. Water vapor heterogeneity related to tropopause folds over the North Atlantic revealed by airborne water vapor differential absorption lidar. J. Geophys. Res. 110: D03115, doi: 10.1029/2004JD004957.
12. Grund CJ, Banta RM, George JL, Howell JN, Post MJ, Richter MA, Weickmann AM. 2001. High-resolution Doppler lidar for boundary layer and cloud research. J. Atmos. Oceanic Technol. 18: 376-393.
13. Hoaglin DC, Welsch RE. 1978. The hatmatrix in regression and ANOVA. American Statistician 32: 17-22.
14. Järvinen H, Undén P. 1997. Observation screening and first guess quality control in the ECMWF 3D-Var data assimilation system. ECMWF Tech. Memo 236.
15. Köpp F, Rahm S, Smalikho I. 2004. Characterization of aircraft wake vortices by 2-μm pulsed Doppler lidar. J. Atmos. Oceanic Technol. 21: 194-206.
16. Langland R. 2005. Observation impact during the North Atlantic TReC-2003. Mon. Weather Rev. 133: 2297-2309.
17. Rabier F. 2006. Review of results from ATReC. International Core Steering Committee for THORPEX, fifth session. 12 pages.
18. Rabier F, Clinker E, Courtier P, Hollingsworth A. 1996. Sensitivity of forecast errors of initial conditions. Q. J. R. Meteorol. Soc. 122: 121-150.
19. Rabier F, Järvinen H, Klinker E, Mahfouf JF, Simmons A. 2000. The ECMWF operational implementation of four-dimensional variational assimilation. Part 1: Experimental results with simplified physics. Q. J. R. Meteorol. Soc. 126: 1143-1170.
20. Reitebuch O, Volkert H, Werner C, Dabas A, Delville P, Drobinski P, Flamant PH, Richard E. 2003. Determination of air flow across the Alpine ridge by a combination of airborne Doppler lidar, routine radio-sounding, and numerical simulation. Q. J. R. Meteorol. Soc. 129: 715-728.
21. Simmons AJ, Hollingsworth A. 2002. Some aspets of the improvement in skill of numerical weather prediction. Q. J. R. Meteorol. Soc. 128: 647-677.
22. Smalikho I. 2003. Techniques of wind vector estimation from data measured with a scanning coherent Doppler lidar. J. Atmos. Oceanic Technol. 20: 276-291.
23. Stoffelen A, Pailleux J, Källacen E, Vaughan JM, Isaksen L, Flamant P, Wergen W, Andersson E, Schyberg H, Culoma A, Meynart R, Endemann M, Ingmann P. 2005. The Atmospheric Dynamics Mission for global wind field measurement. Bull. Am. Meteorol. Soc. 86: 73-87.
24. Tan DGH, Andersson E. 2005. Simulation of the yield and accuracy of wind profile measurements from the Atmospheric Dynamics Mission (ADM-Aeolus). Q. J. R. Meteorol. Soc. 131: 1737-1757.
25. Tenenbaum J. 1996. Jet stream winds: Comparisons of air-craft observations with analyses. Weather and Forecasting 11: 188-197.
26. Veersé F, Thépaut J-N. 1998. Multiple-truncation incremental approach for four-dimensional variational data assimilation. Q. J. R. Meteorol. Soc. 124: 1889-1908.
27. Wahba G, Johnso DR, Gao F, Gong J. 1995. Adaptive tuning of numerical weather prediction models: randomized GCV in three-and four-dimensional data assimilation. Mon. Weather Rev. 123: 3358-3370.
28. Weissmann M, Braun FJ, Gantner L, Mayr G, Rahm S, Reitebuch O. 2005a. The Alpine mountain-plain circulation: airborne Doppler lidar measurements and numerical simulations. Mon. Weather Rev. 133: 3095-3109.
29. Weissmann M, Busen R, Dörnbrack A, Rahm S, Reitebuch O. 2005b. Targeted observations with an airborne wind lidar. J. Atmos. Oceanic. Technol. 22: 1706-1719.