Mixed seasonal temperature odds for Queensland

There is a moderate to strong shift in the odds towards above average maximum temperatures for the May-July period across much of tropical Queensland, the Bureau of Meteorology announced today. In contrast, parts of southern Queensland face a moderate shift in the odds towards a cooler than average season.

For the late autumn to mid-winter period, the chances of above average seasonal daytime temperatures range between 60 and a little over 75% in the northern half of Queensland (see map). So in years with ocean patterns like the current, about six to eight May-July periods out of every ten are expected to be warmer than average across northern Queensland, with about two or four out of ten being cooler. In southeast Queensland, the chances of exceeding the median maximum temperature for the coming three months are slightly below 40%, meaning that a cooler than average season would be expected in about six years out of every ten. However, across the rest of the State, the chances of above average seasonal maximum temperatures are between 40 and 60%. Outlook confidence is related to the consistency of the influence of Pacific and Indian Ocean temperatures on seasonal temperatures. During the May to July period, history shows this influence on maximum temperatures to be moderately consistent over the northern half of Queensland, but only weakly or very weakly consistent in the southern half (see background information). There is a moderate to strong shift in the odds towards above average minimum temperatures for the May to July quarter over Queensland. The probabilities are mostly in the 60 to 70% range, reaching up to 75% in some northern parts of the State. History shows the oceans' influence on minimum temperatures in the May to July period to be moderately to strongly consistent over Queensland.

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THE NEXT ISSUE OF THE SEASONAL OUTLOOK IS EXPECTED BY 17^th MAY 2005

Corresponding rainfall outlook

Maximum temperature departures from average for January to March 2005 - base period 1961-1990

Minimum temperature departures from average for January to March 2005 - base period 1961-1990

Background Information

• The Bureau's seasonal outlooks are general statements about the probability or risk of wetter or drier than average weather over a three-month period. The outlooks are based on the statistics of chance (the odds) taken from Australian rainfall/temperatures and sea surface temperature records for the tropical Pacific and Indian Oceans. They are not, however, categorical predictions about future rainfall, and they are not about rainfall within individual months of the three-month outlook period. The temperature outlooks are for the average maximum and minimum temperatures for the entire three-month outlook period. Information about whether individual days or weeks may be unusually hot or cold, is unavailable.

• This outlook is a summary. More detail is available from the contact people or from SILO (www.bom.gov.au/silo/products/SClimate.shtml).

• Probability outlooks should not be used as if they were categorical forecasts. More on probabilities is contained in the booklet The Seasonal Climate Outlook - What it is and how to use it, available from the National Climate Centre. These outlooks should be used as a tool in risk management and decision making. The benefits accrue from long-term use, say over 10 years. At any given time, the probabilities may seem inaccurate, but taken over several years, the advantages of taking account of the risks should outweigh the disadvantages. For more information on the use of probabilities, farmers could contact their local departments of agriculture or primary industry.

• Model Consistency and Outlook Confidence: Strong consistency means that tests of the model on historical data show a high correlation between the most likely outlook category (above/below median) and the verifying observation (above/below median). In this situation relatively high confidence can be placed in the outlook probabilities. Low consistency means the historical relationship, and therefore outlook confidence, is weak. In the places and seasons where the outlooks are most skilful, the category of the eventual outcome (above or below median) is consistent with the category favoured in the outlook about 75% of the time. In the least skilful areas, the outlooks perform no better than random chance or guessing. The rainfall outlooks perform best in eastern and northern Australia between July and January, but are less useful in autumn and in the west of the continent. The skill at predicting seasonal maximum temperature peaks in early winter and drops off marginally during the second half of the year. The lowest point in skill occurs in early autumn. The skill at predicting seasonal minimum temperature peaks in late autumn and again in mid-spring. There are also two distinct periods when the skill is lowest - namely late summer and mid-winter. However, it must always be remembered that the outlooks are statements of chance or risk. For example, if you were told there was a 50:50 chance of a horse winning a race but it ran second, the original assessment of a 50:50 chance could still have been correct.

• The Southern Oscillation Index (SOI) is calculated using the barometric pressure difference between Tahiti and Darwin. The SOI is one indicator of the stage of El Niño or La Niña events in the tropical Pacific Ocean. It is best considered in conjunction with sea-surface temperatures, which form the basis of the outlooks. A moderate to strongly negative SOI (persistently below –10) is usually characteristic of El Niño, which is often associated with below average rainfall over eastern Australia, and a weaker than normal monsoon in the north. A moderate to strongly positive SOI (persistently above +10) is usually characteristic of La Niña, which is often associated with above average rainfall over parts of tropical and eastern Australia, and an earlier than normal start to the northern monsoon season. The Australian impacts of 23 El Niño events since 1900 are summarized on the Bureau's web site (www.bom.gov.au/climate/enso/).