Inhalt
Technical report / Is the particle filtering approach appropriate for meso-scale data assimilation? / by Mikhail D. Tsyrulnikov. Offenbach am Main : DWD, 2007
Inhalt
- PDF A methodology towards the hierarchy of COSMO parameter calibration tests via the domain sensitivity over the Mediterranean area
- PDF A new fast-waves solver for the Runge-Kutta dynamical core
- PDF A scheme for monotonic numerical diffusion in the LM
- PDF A stochastic pattern generator for ensemble applications
- PDF A turbulence kinetic energy
- PDF Analysis and evaluation of TERRA_URB Scheme
- PDF Calibration of COSMO model, priority project CALMO
- PDF CALMO - Progress report
- PDF COSMO priority project "Further Developments of the Runge-Kutta Time Integration Scheme" (RK)
- PDF COSMO priority project "INTERP"
- PDF COSMO priority project "Short Range Ensemble Prediction System" (SREPS)
- PDF COSMO priority project "Tackle Deficiencies in Quantitative Precipitation Forecast" (QPF)
- PDF COSMO priority project "VERification System Unified Survey" (VERSUS)
- PDF COsmo Towards Ensembles at the Km-scale IN Our countries (COTEKINO)
- PDF Description of some convective indices implemented in the COSMO model
- PDF Documentation of the Z-coordinate dynamical core of LM
- PDF EUCOS impact study using the limited-area non-hydrostatic NWP model in operational use at MeteoSwiss
- PDF Evaluation of empirical parameters of the new LM surface-layer parameterization scheme
- PDF Evaluation of the performance of the COSMO-LEPS system
- PDF Tsyrulnikovk, Mikhail D.: Is the particle filtering approach appropriate for meso-scale data assimilation?
- 2 Contents
- 3 1. Introduction
- 3 2. Nonlinear filtering
- 5 3. Monte-Carlo filters
- 5 4. The bootstrap (SIR) filter
- 7 5. Inherent advantages and disadvantages of the SIR filter
- 7 6. Extensions to the SIR filter
- 9 7. Non-meteorological and non-oceanographic applications of particle filtering
- 10 8. Applications of particle filtering in meteorology and oceanography
- 12 9. Summary of the disadvantages of a hypothetical particle-filtering based meso-scale data assimilation scheme
- 14 10. Conclusions
- 14 11. Acknowledgements
- 14 12. References
- LLM -the high-resolving nonhydrostatic simulation model in the DWD-Project LITFASS
- PDF Lorenz- and Charney-Phillips vertical grid experimentation using a compressible nonhydrostatic toy-model relevant to the fast-mode part of the "Lokal-Modell"
- PDF Online trajectory module in COSMO
- PDF Operational implementation of the multilayer soil model
- PDF Parameterization of lakes in numerical weather prediction
- PDF Performance On Massively Parallel Architectures (POMPIA)
- PDF RADAR_MIE_LM and RADAR_MIELIB calculation of radar reflectivity from model output
- PDF Seven years of activity in the field of mesoscale ensemble forecasting by the COSMO-LEPS system
- PDF Statistical analysis of high-resolution COSMO ensemble forecasts in view of data assimilation
- PDF Studying Perturbations for the Representation of modeling uncertainties in Ensemble Development
- PDF The CONSENS priority project
- PDF The COSMO priority project "COLOBOC"
- PDF The COSMO priority project "UTCS"
- PDF The COSMO Priority Project APSU
- PDF The COSMO Priority Project CARMA
- PDF The COSMO Priority Project CDIC
- PDF The COSMO priority project conservative dynamical core
- PDF The COSMO priority project CORSO
- PDF The COSMO priority project CORSO-A
- PDF The COSMO priority project INSPECT
- PDF The COSMO Priority Project T2 (RC)2
- PDF The COSMO priority project VERSUS2
- PDF The multi-layer version of the DWD soil model TERRA_LM
- PDF The proof of the parameters calibration method
- PDF Tracer module in the COSMO model
- PDF V.A.S.T. (Versus Additional Statistical Techniques) user manual (v2.0)