A pre-operational variational data assimilation system for a non-hydrostatic model at the Japan Meteorological Agency: Formulation and preliminary results

Quarterly Journal of the Royal Meteorological Society

Volumn 131, Issue 613, 2006, Pages 3465-3475

  Honda, Y ^a   Nishijima, M ^a   Koizumi, K ^a   Ohta, Y ^a   Tamiya, K ^a   Kawabata, T ^a   Tsuyuki, T ^a  

^a JAPAN METEOROLOGICAL AGENCY   (Japan)

Author keywords

Adjoint; Control variables; Meso 4D Var; Tangent linear

Indexed keywords

ADJOINT; ADJOINT MODELS; BACKGROUND-ERROR COVARIANCES; CONTROL VARIABLE; CONTROL VARIABLES; CUTOFF WAVELENGTHS; FOUR-DIMENSIONAL VARIATIONAL DATA ASSIMILATION; GEOSTROPHIC BALANCE; HEAVY RAINFALL; HORIZONTAL WINDS; HYDROSTATIC BALANCE; INITIAL CONDITIONS; JAPAN METEOROLOGICAL AGENCIES; KINETIC ENERGY SPECTRA; LOW-PASS FILTERS; MESO 4D-VAR; MESOSCALE; NONHYDROSTATIC MODEL; OPERATIONAL USE; PHYSICAL PROCESS; POTENTIAL TEMPERATURE; PRELIMINARY DATA; QUANTITATIVE PRECIPITATION FORECAST; RELATIVE HUMIDITIES; REMOVE NOISE; SPECTRAL MODELS; SURFACE FRICTION; SURFACE PRESSURES; TANGENT LINEAR; THREE DIMENSIONAL SYSTEMS; VARIATIONAL DATA ASSIMILATION; VARIATIONAL DATA ASSIMILATION SYSTEM;

ATMOSPHERIC HUMIDITY; DATA ACQUISITION; HUMIDITY CONTROL; HYDRAULICS; HYDRODYNAMICS; RAIN; SIGNAL FILTERING AND PREDICTION; SPECTROSCOPY; VALUE ENGINEERING;

WEATHER FORECASTING;

EID: 34548036414     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/qj.05.132     Document Type: Article

References (16)

1. Blackadar, A. K. 1962 The vertical distribution of wind and turbulent exchange in a neutral atmosphere. J. Geophys. Res., 67, 3095-3102
2. Courtier, P., Thépaut, J.-N. and Hollingsworth, A. 1994 A strategy for operational implementation of 4D-Var, using an incremental approach. Q. J. R. Meteorol. Soc., 120, 1367-1387
3. Deardorff, J. W. 1980 Stratocumulus-capped mixed layers derived from a threedimensional model. Boundary-Layer Meteorol., 18, 495-527
4. Gauthier, P. and Thépaut, J.-N. 2001 Impact of the digital filter as a weak constraint in the preoperational 4D-VAR assimilation system of Météo-France. Mon. Weather Rev., 129, 2089-2102
5. Ishikawa, Y. and Koizumi, K. 2002 'Meso-scale analysis'. pp. 26-31 in Outline of the operational numerical weather prediction at the Japan Meteorological Agency. http://www.jma.go.jp/jma/jma-eng/jmacenter/nwp/outline-nwp/index.htm
6. Kato, T. and Aranami, K. 2005 Formation factors of 2004 Niigata-Fukushima and Fukui heavy rainfalls and problems in the predictions using a cloudresolving model. Sci. Online Letts. Atmos., 1, 1-4
7. Koizumi, K., Ishikawa, Y. and Tsuyuki, T. 2005 Assimilation of precipitation data to JMA mesoscale model with a four-dimensional variational method and its impact on precipitation forecasts. Sci. Online Letts. Atmos., 1, 45-48
8. Liu, D. C. and Nocedal, J. 1989 On the limited memory BFGS method for large-scale optimization. Math. Program., 45, 503-528
9. Lorenc, A. C. 1988 Optimal nonlinear objective analysis. Q. J. R. Meteorol. Soc., 114, 205-240
10. Lynch, P. 1997 The Dolph-Chebyshev window: A simple optimal filter. Mon. Weather Rev., 125, 655-660
11. Parrish, D. and Derber, J. C 1992 The National Meteorological Center's spectral statistical interpolation analysis system. Mon. Weather Rev., 120, 1747-1763
12. Polavarapu, S., Tanguay, M. and Fillion, L. 2000 Four-dimensional variational data assimilation with digital filter initialization. Mon. Weather Rev., 128, 2491-2510
13. Purser, R. J., Wu, W.-S., Parrish, D. F. and Roberts, N. M. 2003 Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances. Mon. Weather Rev., 131, 1524-1548
14. Saito, K., Fujita, T., Yamada, Y., Ishida, J., Kumagai, Y., Aranami, K., Ohmori, S., Nagasawa, R., Tanaka, S., Muroi, C., Kato, T., Eito, H. and Yamazaki, Y. 2006 The operational JMA nonhydrostatic mesoscale model. Mon. Weather Rev., 134, 1266-1298
15. Skamarock, W. C. 2004 Evaluating mesoscale NWP models using kinetic energy spectra. Mon. Weather Rev., 132, 3019-3032
16. Sun, W. Y. and Chang, C. Z. 1986 Diffusion model for a convective layer, Part 1: Numerical simulations of convective boundary layer. J. Clim. Appl. Meteorol., 25, 1445-1453