| Data assimilation and forecasting the weather (!) |
| Content |
| Typical 6-hour analysis cycle |
| The observing system a few years agoÉ |
| Typical distribution of observations in +/- 3hours |
| Typical distribution of observations in +/- 3hours |
| Model grid points (uniformly distributed) and observations (randomly distributed). For the grid point i only observations within a radius of influence may be considered |
| Some statisticsÉ |
| Some comparisonsÉ |
| Slide 10 |
| Comparisons of Northern and Southern Hemispheres |
| Satellite radiances are essential in the SH |
| More and more satellite radiancesÉ |
| Intro. to data assimilation: a toy example |
| Toy temperature data assimilation, measure radiance |
| Toy temperature data assimilation, measure radiance |
| Toy temperature data assimilation, measure radiance |
| Toy temperature data assimilation, variational approach |
| Toy temperature data assimilation, variational approach |
| Typical 6-hour analysis cycle |
| Toy temperature analysis cycle (Kalman Filter) |
| Toy temperature analysis cycle (Kalman Filter) |
| Summary of toy system equations (for a scalar) |
| Summary of toy system equations (cont.) |
| Summary of toy system equations (cont.) |
| Equations for toy and real huge systems |
| Interpretation of the NWP system of equations |
| Interpretation of the NWP system of equations |
| Summary of NWP equations (cont.) |
| Comparison of 4-D Var and LETKF
at JMA T. Miyoshi and Y. Sato |
| Comparison of 4-D Var and LETKF
at JMA T. Miyoshi and Y. Sato |
| Comparison of 4-D Var and LETKF
at JMA T. Miyoshi and Y. Sato |
| Comparison of 4-D Var and LETKF
at JMA 18th typhoon in 2004, IC 12Z 8 August 2004 T. Miyoshi and Y. Sato |
| Comparison of 4-D Var and LETKF
at JMA RMS error statistics for all typhoons in August 2004 T. Miyoshi and Y. Sato |
| Summary |