Effects of an assimilation of radar and satellite data on a very-short range forecast of heavy convective rainfalls

Atmospheric Research

Volumn 93, Issue 1-3, 2009, Pages 188-206

  Sokol, Zbyněk ^a  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (Czech Republic)

Author keywords

Assimilation of radar and satellite data; Local convective precipitation; NWP model; Precipitation forecast

Indexed keywords

ASSIMILATION OF RADAR AND SATELLITE DATA; CLOUD CLASSIFICATION; CONVECTIVE EVENTS; GRID POINTS; HORIZONTAL RESOLUTION; LOCAL CONVECTIVE PRECIPITATION; METEOSAT SECOND GENERATIONS; MIXING RATIOS; NWP MODEL; PRECIPITATION FORECAST; RADAR INFORMATION; RADAR REFLECTIVITIES; SATELLITE DATA; SKILL SCORE; TWO CHANNEL; WATER VAPOUR;

RADAR; REFLECTION; SATELLITES; WATER VAPOR; WEATHER FORECASTING;

RADAR MEASUREMENT;

CLOUD CLASSIFICATION; CONVECTIVE SYSTEM; DATA ASSIMILATION; ESTIMATION METHOD; METEOSAT; MIXING RATIO; RADAR; SATELLITE DATA; WATER VAPOR; WEATHER FORECASTING;

EID: 67349280717     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2008.11.001     Document Type: Article

References (32)

1. Ballard S., Dixon M., Swarbrick S., Li Z., and Stiller O. Assimilation of radar data for convective scale NWP at the Met Office. ERAD publication series vol. 3 (2006) 507-510
2. Benjamin S.G., Weygandt S.S., Koch S.E., and Brown J.M. Assimilation of lightning data into RUC model forecasting. 2nd Conf. Meteor. Appl. of Lightning Data, Atlanta, GA. Amer. Meteorol. Soc. (2006)
3. Caya A., Sun J., and Snyder C. A comparison between 4D Var and the Ensemble Kalman filter technique for radar data assimilation. Mon. Weather Rev. 133 (2005) 3081-3093
4. Deblonde G., Mahfouf J.-F., Bilodeau B., and Anselmo D. One-dimensional variational data assimilation of SSM/I observations in rainy atmospheres at MSC. Mon. Weather Rev. 135 (2007) 152-172
5. Doms G., and Schattler U. A Description of the Nonhydrostatic Regional Model LM (2002), Deutscher Wetterdienst
6. Falkovich A., Kalnay E., Lord S., and Mathur M.B. A new method of observed rainfall assimilation in forecast models. J. Appl. Meteor. 39 (2000) 1282-1298
7. Hagen M., and Yuter S.A. Relations between radar reflectivity, liquid-water content, and rainfall rate during the MAP SOP. Q. J. R. Meteorol. Soc. 129 (2003) 477-493
8. Harris B., and Kelly G. A satellite radiance bias correction scheme for data assimilation. Q. J. R. Meteorol. Soc. 127 (2001) 1453-1468
9. Havranek P., and Kracmar J. New weather radar station in central Moravia. Czech Meteorol. Bull. 49 (1996) 81-84
10. Hu M., Xue M., and Brewster K. 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Weather Rev. 134 (2006) 675-698
11. Jones C.D., and Macpherson B. A latent heat nudging scheme for the assimilation of precipitation data into an operational mesoscale model. Meteorol. Appl. 4 (1997) 269-277
12. Kidder S.Q., Kankiewicz J.A., and Eis K.E. Meteosat second generation cloud algorithms for use at AFWA. DoD Center for Geosciences / Atmospheric Research Colorado State University Fort Collins, Colorado. BACIMO 2005, Monterey, CA, 12-14 October (2005). http://amsu.cira.colostate.edu/kidder/BACIMO_2005.pdf available at: http://amsu.cira.colostate.edu/kidder/BACIMO_2005.pdf.
13. Kitchen M., and Blackall R.M. Representativeness errors in comparisons between radar and gauge measurements of rainfall. J. Hydrol. 134 (1992) 13-33
14. Köpken C., Kelly G., and Thépaut J.-N. Assimilation of Meteosat radiance data within the 4D-Var system at ECMWF: assimilation experiments and forecast impact. Q. J. R. Meteorol. Soc. 130 (2004) 2277-2292
15. Macpherson B. Operational experience with assimilation of rainfall data in the Met Office Mesoscale model. Meteorol. Atmos. Phys. 76 (2001) 3-8
16. Macpherson B., Wright B.J., Hand W.H., and Maycock A.J. The input of MOPS moisture data in the U.K. Meteorological Office mesoscale data assimilation scheme. Mon. Weather Rev. 124 (1996) 1746-1766
17. Manabianco J., Koch S., Karyanpudy V.M., and Negri A.J. The impact of assimilation satellite-derived precipitation rates on simulations of the ERICA IOP 4 cyclone. Mon. Weather Rev. 122 (1994) 341-365
18. Michelson D., Einfalt T., Holleman I., Gjertsen U., Friedrich K., Haase G., Lindskog M., and Szturc J. Weather radar data quality in Europe: quality control and characterization. COST Action 717 (2004). http://www.smhi.se/cost717/doc/WDF_MC_200403_1.pdf http://www.smhi.se/cost717/doc/WDF_MC_200403_1.pdf.
19. Montmerle T., Rabier F., and Fischer C. Relative impact of polar-orbiting and geostationary satellite radiances in the Aladin/France numerical weather prediction system. Q. J. R. Meteorol. Soc. 133 (2007) 655-671
20. Novak P., and Kracmar J. New data processing in the Czech weather radar network. ERAD Publication Series vol. 1 (2002). 3-936586-04-7 328-330
21. Pasqui M., Tremback C.J., Meneguzzo F., Giuliani G., and Gozzini B. A soil moisture initialization method, based on antecedent precipitation approach, for regional atmospheric modeling system: a sensitivity study on precipitation and temperature. 18th Conf. on Hydrology, AMS, Seattle (2004)
22. Rezacova D., and Sokol Z. A diagnostic study of a summer convective precipitation event in the Czech Republic using a non-hydrostatic NWP model. Atmos. Res. 67/68 (2003) 559-572
23. Roberts N.M., and Lean H.W. Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events. Mon. Weather Rev. 136 (2008) 78-97
24. Salek M., Novak P., and Seo D.-J. Operational application of combined radar and raingauges precipitation estimation at the chmi. ERAD publication series vol. 2 (2004) 16-20
25. Sokol Z. Utilization of radar reflectivity for a very short range precipitation forecast. Czech Meteorol. Bull. 60 (2007) 13-22
26. Sokol Z., and Rezacova D. Assimilation of radar reflectivity into the LM COSMO model with a high horizontal resolution. Meteorol. Appl. 13 (2006) 317-330
27. Stephan K., Klink S., and Schraff C. Assimilation of radar derived rain rates into the convective scale model COSMO-DE at DWD. Q. J. R. Meteorol. Soc. 134 (2008) 1315-1326
28. Steppeler J., Doms G., Schattler U., Bitzer H.W., Gassmann A., Damrath U., and Gregoric G. Meso-gamma scale forecasts using the nonhydrostatic model LM. Meteorol. Atmos. Phys. 82 (2003) 75-96
29. Szyndel M., Kelly G., and Thépaut J.-N. Evaluation and potential for assimilation of SEVIRI radiance data from Meteosat-8. EUMETSAT/ECMWF Fellowship programme, Research report No. 15 (2004)
30. Tong M., and Xue M. Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Weather Rev. 133 (2005) 1789-1807
31. Weygandt S.S., Shapiro A., and Droegemeier K.K. Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm. Part I: Single-Doppler velocity retrieval. Mon. Weather Rev. 130 (2002) 433-453
32. Xue M., Tong M., and Droegemeier K.K. An Osse framework based on the ensemble square root kalman filter for evaluating the impact of data from radar networks on thunderstorm analysis and forecasting. J. Atmos. Ocean. Technol. 23 (2006) 46-66