Southeastern Aust Seasonal Temperature Outlook: probabilities for February to April 2012, issued 19th January 2012
The southeast Australian temperature outlook for February to April 2012 shows the following:
The drivers of this outlook are a warmer than normal Indian Ocean and conditions in the tropical Pacific associated with La Niña.
The chance that the average February to April maximum temperature will exceed the long-term median maximum temperature is between 60 and 70% over Victoria, Tasmania, southern NSW and southeastern SA. This means that for every ten years with ocean patterns like the ones currently observed, about six to seven years would be expected to be warmer than average in these areas, with about three to four being cooler.
Outlook confidence is related to how consistently the Pacific and Indian Oceans affect Australian temperatures. the February to April period, history shows this effect on maximum temperatures to be moderately consistent across Victoria, Tasmania and northern NSW, but weakly to very weakly consistent in southern NSW, with patchy skill in SA (see background information).
The chance that the average minimum temperature for February to April will exceed the long-term median minimum temperature is above 35 to 40% across northern SA. This means there is a 60 to 65% chance of cooler nights over this region. Across most of NSW, Victoria, Tasmania, and central and southern SA the chances of a warmer or cooler season are roughly equal (see map).
History shows the oceans' effect on minimum temperatures during the February to April period to be moderately consistent in southern SA and Tasmania, but only weakly to very weakly consistent across the rest of southeast Australia.
Click on the maps above for larger versions of the maps. Use the reload/refresh button to ensure the latest forecast maps are displayed.
More information on this outlook is available Monday to Friday from 9.00am to 5.00pm local time by contacting the Bureau's Climate Services sections in Queensland, NSW, SA, Victoria and Tasmania at the following numbers:
|Sydney -||(02) 9296 1555|
|Adelaide -||(08) 8366 2664|
|Melbourne -||(03) 9669 4949|
|Hobart -||(03) 6221 2043|
THE NEXT ISSUE OF THE SEASONAL OUTLOOK IS EXPECTED BY 23rd February 2012
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.
Probability outlooks should not be used as if they were categorical forecasts. 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 past El Niño events since 1900 are summarized on the Bureau's web site (El Niño - Detailed Australian Analysis), and past La Niña events (La Niña - Detailed Australian Analysis)
© Australian Government, Bureau of Meteorology