Observed and forecast tracks: southern hemisphere 2024-25
All tropical cyclones in the southern hemisphere season in 2024-25 are listed below including details of their start and end dates, lowest central pressure and maximum sustained wind (MSW).
Click on the name of the tropical cyclone to see a chart of the observed track and forecast tracks from the Met Office global model. Verification statistics on each tropical cyclone are available upon request from [email protected]. At the end of the season a verification report on the performance of the Met Office global model will be published.
| Name & ID | Start & end dates | Central pressure, 1-/10-minute MSW | Comments on Met Office global model forecasts |
|---|---|---|---|
| Ancha (01S) | 01-04 October | 992 mb, 50/45 knots | The track of Ancha was well predicted with a slight slow bias. |
| Bheki (02S) | 14-22 November | 943 mb, 115/105 knots | Track forecast errors were mostly low, except at long lead times due to a right-of-track bias in early forecasts. |
South-west Indian observed tracks in 2024-25
| Name & ID | Start & end dates | Central pressure, 1-/10-minute MSW | Comments on Met Office global model forecasts |
|---|---|---|---|
| 27-29 November | 985 mb, 55/55 knots | Track forecast errors were a little above the recent mean values. |
| Name & ID | Start & end dates | Central pressure, 1-/10-minute MSW | Comments on Met Office global model forecasts |
|---|---|---|---|
Western Australian observed tracks in 2024-25
Eastern Australian observed tracks in 2024-25
| Name & ID | Start & end dates | Central pressure, 10-minute MSW | Comments on Met Office global model forecasts |
|---|---|---|---|
|
|
South Atlantic observed tracks in 2024-25
Note on estimated wind speeds
1-minute MSW: Maximum sustained wind (knots) averaged over one minute (JTWC Hawaii)
10-minute MSW: Maximum sustained wind (knots) averaged over 10 minutes (Southern Hemisphere RSMCs and TCWCs)
Note: Although 1-minute average winds should be stronger than 10-minute average, this may not be the case here since estimates are obtained from different warning centres using different analysis techniques.
