Mesoscale assimilation of radial velocities from Doppler radars in a preoperational framework

Monthly Weather Review

Volumn 137, Issue 6, 2009, Pages 1939-1953

  Montmerle, Thibaut ^a   Faccani, Claudia ^a  

^a CENTRE NATIONAL DE RECHERCHES MÉTÉOROLOGIQUES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CONVECTIVE SYSTEMS; DATA PREPROCESSING; HORIZONTAL WINDS; MESOSCALE; MODEL VARIABLES; NONHYDROSTATIC MODEL; OBSERVATION OPERATOR; PRECIPITATION FORECAST; QUALITY CHECKS; RADAR BEAM; RADIAL VELOCITY; RADIAL WINDS; SAMPLING CONDITIONS; VARIATIONAL DATA ASSIMILATION; VELOCITY-AZIMUTH DISPLAY;

DOPPLER EFFECT; DOPPLER RADAR; RADAR; WEATHER FORECASTING;

VELOCITY;

COMPUTER SIMULATION; DATA ASSIMILATION; DATA PROCESSING; DOPPLER RADAR; MESOSCALE METEOROLOGY; MODELING; PRECIPITATION (CLIMATOLOGY); RAINBAND; WEATHER FORECASTING; WIND FORCING;

EID: 68249150820     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008MWR2725.1     Document Type: Article

References (35)

1. Berre, L., 2000: Estimation of synoptic and mesoscale forecast error covariances in a limited area model. Mon. Wea. Rev., 128, 644-667.
2. Berre, L., S. E. Stefánescu, and M. B. Pereira, 2006: The representative of the analysis effect in three error simulation techniques. Tellus, 58A, 196-209.
3. Bousquet, O., T. Montmerle, and P. Tabary, 2008: Using operationally synthesized multiple-Doppler winds for high resolution horizontal wind forecast verification. Geophys. Res. Lett., 35, L10803, doi:10.1029/2008GL033975.
4. Brousseau, P., and Coauthors, 2008: A prototype convective-scale data assimilation system for operation: The Arome-RUC. HIRLAM Tech. Rep. 68, 23-30.
5. Browning, K., and R. Wexler, 1968: The determination of kinematic properties of a wind field using Doppler radar. J. Appl. Meteor., 7, 105-113.
6. Cardinali, C., S. Pezzulli, and E. Andersson, 2004: Influence-matrix diagnostic of a data assimilation system. Quart. J. Roy. Meteor. Soc., 130, 2827-2849.
7. Caumont, O., and Coauthors, 2006: A radar simulator for high-resolution nonhydrostatic models. J. Atmos. Oceanic Technol., 23, 1049-1067.
8. Caumont, O., and V. Ducrocq, 2008: What should be considered when simulating Doppler velocities measured by ground-based weather radars? J. Appl. Meteor. Climatol., 47, 2256-2262.
9. Caya, A., J. Sun, and C. Snyder, 2005: A comparison between the 4DVAR and the ensemble Kalman filter techniques for radar data assimilation. Mon. Wea. Rev., 133, 3081-3094.
10. Crook, A., and J. Tuttle, 1994: Numerical simulations initialized with radar-derived winds. Part II: Forecasts of three gust-front cases. Mon. Wea. Rev., 122, 1204-1217.
11. Doviak, R., and D. Zrnic, 1993: Doppler Radar and Weather Observation. 2nd ed. Academic Press, 562 pp.
12. Fischer, C., T. Montmerle, L. Berre, L. Auger, and S. Stefanescu, 2005: An overview of the variational assimilation in the ALADIN/France numerical weather-prediction system wave- driven circulation of the mesosphere. Quart. J. Roy. Meteor. Soc., 131, 3477-3492.
13. Gao, J., and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with simulated Doppler radar data. Mon. Wea. Rev., 136, 945-963.
14. Lafore, J., and Coauthors, 1998: The Meso-NH atmospheric simulation system. Part I: Adiabatic formulation and control simulations. Ann. Geophys., 16, 90-109.
15. Lin, Y.-L., R. Farley, and H. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
16. Lindskog, M., K. Salonen, H. Järvinen, and D. Michelson, 2004: Doppler radar wind data assimilation with HIRLAM3DVAR. Mon. Wea. Rev., 132, 1081-1092.
17. Montmerle, T., A. Caya, and I. Zawadzki, 2001: Simulation of a mid-latitude convective storm initialized with bistatic Doppler radar data. Mon. Wea. Rev., 129, 1949-1967.
18. ParentDuChâtelet, J., 2003: Aramis, le réseau francxais de radars pour la surveillance des précipitations (The French ARAMIS radar network for the sampling of precipitations). Meteorologie, 40, 44-52.
19. Probert-Jones, J., 1962: The radar equation in meteorology. Quart. J. Roy. Meteor. Soc., 88, 485-495.
20. Salonen, K., H. Järvinen, and M. Lindskog, 2003: Model for Doppler radar radial winds. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 2B.1. [Available online at http://ams.confex.com/ams/pdfpapers/64105.pdf.]
21. Salonen, K., H. Järvinen, R. Eresmaa, and S. Niemelä, 2007: Bias estimation of Doppler-radar radial-wind observations. Quart. J. Roy.Meteor. Soc., 133, 1501-1507.
22. Sauvageot, H., 1992: Radar Meteorology. Artech House, 336 pp.
23. Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
24. Sun, J., and N. Crook, 1997: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments. J. Atmos. Sci., 54, 1642-1661.
25. Sun, J., and N. Crook, 1998: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci., 55, 835-852.
26. Tabary, P., 2007: The new French operational radar rainfall product. Part I: Methodology. Wea. Forecasting, 22, 393-427.
27. Tabary, P., L. Perier, J. Gagneux, and J. Parent-Du-Chatelet, 2005: Test of a staggered PRT scheme for the French radar network. J. Atmos. Oceanic Technol., 22, 352-364.
28. Tong, M., and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Wea. Rev., 133, 1789-1807.
29. Wattrelot, E., O. Caumont, S. Pradier-Vabre, M. Jurasek, and G. Haase, 2008: 1d + 3D Var assimilation of radar reflectivities in the pre-operational AROME model at Météo-France. Proc. Fifth Conf. on Radar in Meteorology and Hydrology. Helsinki, Finland, Finnish Meteorological Institute, 097. [Available online at http://erad2008.fmi.fi/proceedings/extended/erad2008-0097-extended.pdf.]
30. Weygandt, S., A. Shapiro, and K. Droegemeier, 2002: Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm. Part II: Thermodynamic retrieval and numerical prediction. Mon. Wea. Rev., 130, 454-476.
31. Xiao, Q., and J. Sun, 2007: Multiple-radar data assimilation and short-range quantitative precipitation forecasting of a squall line observed during IHOP_2002. Mon. Wea. Rev., 135, 3381-3404.
32. Xiao, Q., Y.-H. Kuo, J. Sun, W.-C. Lee, E. Lim, Y.-R. Guo, and D. Barker, 2005: Assimilation of Doppler radar observations with a regional 3DVAR system: Impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl. Meteor., 44, 768-788.
33. Xiao, Q., Y.-H. Kuo, J. Sun, W.-C. Lee, D. Barker, and E. Lim, 2007: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Appl. Meteor. Climatol., 46, 14-22.
34. Xiao, Q., and Coauthors, 2008: Doppler radar data assimilation in KMA's operational forecasting. Bull. Amer. Meteor. Soc., 89, 39-43.
35. Zhang, F., C. Snyder, and J. Sun, 2004: Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev., 132, 1238-1253.