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Multiweek tropical cyclone prediction for the Southern Hemisphere in ACCESS-S2: Maintaining operational skill and continuity of service.
- Source :
-
Quarterly Journal of the Royal Meteorological Society . Oct2023, Vol. 149 Issue 757, p3401-3422. 22p. - Publication Year :
- 2023
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Abstract
- The skill of subseasonal (multiweek) forecasts of tropical cyclone (TC) occurrence over the Southern Hemisphere is examined in the Australian Bureau of Meteorology's (BoM) multiweek to seasonal prediction system, ACCESS-S2. Relative to its predecessor, ACCESS-S1, ACCESS-S2 shows improved biases in spatial TC frequency in the South Pacific and Southwest Indian Ocean. However, there is no improvement to the known negative bias in TC frequency off the coast of NW Australia. The ability of ACCESS-S2 to provide probabilistic forecasts of TC occurrence for the Southern Hemisphere on multiweek timescales is examined using reliability measures and Brier skill scores. For the period November-February 1990-2012, both ACCESS-S1 and ACCESS-S2 show positive skill relative to climatology for calibrated forecasts out to week 5. However, the skill of ACCESS-S2 is slightly reduced compared to ACCESS-S1 at all lead times, which may be due to the fewer number of ensemble members available. For the full ACCESS-S2 hindcast period, November-April 1981-2018, ACCESS-S2 again shows positive skill of calibrated forecasts over climatology out to week 5. For weeks 1-2, skill is reduced compared to the shorter 1990-2012 period; whereas it is marginally improved for longer lead times (weeks 3-5). Use of lagged ensembles, an alternative linear regression calibration, as well as removing weaker model TCs were examined to potentially improve the skill of ACCESS-S2 forecasts; however, none of these methods were able to significantly increase skill at all lead times. Continued use of the original calibration method is therefore recommended in order to retain skill and continuity of service of the BoM operational and public multiweek TC forecasts. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00359009
- Volume :
- 149
- Issue :
- 757
- Database :
- Academic Search Index
- Journal :
- Quarterly Journal of the Royal Meteorological Society
- Publication Type :
- Academic Journal
- Accession number :
- 174813345
- Full Text :
- https://doi.org/10.1002/qj.4563