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1. Monitoring the Climate

Climatologists identify patterns and relationships in meteorological observations and records. Our understanding of climate variability has advanced considerably as observation networks and technology have developed, particularly since the introduction of satellites and powerful computers.

Australia's first weather men

Large-scale atmospheric circulations affecting our climate

Climate Variability and El Niño
El Niño is one of the major climate influences in the world and the most important one in Australia. Its impacts include decreased probability of rainfall and it is often associated with widespread drought.

Sea-Surface Temperatures
During El Niño events warmer than normal water spreads along the equator into the central Pacific. The measurement of Sea-Surface Temperature anomalies helps to determine whether climate patterns like El Niño are developing.

Map Information

SOI or the Southern Oscillation Index
The Southern Oscillation Index is based on the difference in air pressure across the Pacific Ocean between Darwin and Tahiti. Strong negative values are generally associated with El Niño, and positive values with La Niña. SOI definition.

Drought Statement

A routine report identifying areas with long-term Australian rainfall deficiencies. (Note that this report is issued monthly, and is based on rainfall received up to the end of the previous month. While it is issued monthly when required, there will be periods when no issue is required.)

Recent Australian temperature and rainfall analyses


2. Predicting the Climate

Why we need to predict the climate?

While most of us feel the effects of climate variation, many businesses, services and activities depend on climate forecasting to prepare adequately, to manage risk, protect the environment, and to save lives. Climate extremes like flood, fire, cyclones and drought cause major impacts that can be minimised more effectively with climate forecasting.

Can we predict the climate?

At present, we're able to forecast out to 7 days ahead using computer weather models. Prediction of the day to day weather in the mid-Iatitudes does not in general appear to be possible beyond about 7 to 10 days. This is in part due to the current limitations of the global computer weather models, but more importantly because of the chaotic nature of the weather patterns in the atmosphere.

In the longer term of about three to six months, some predictability does arise for 3 monthly averages (temperature) or 3 monthly totals (rainfall). This predictability comes from slow-moving fluctuations in the broader climate patterns of the Pacific and Indian Ocean basins. Even so, the Bureau of Meteorology does not attempt to make categorical forecasts (e.g. this winter's rainfall will be 220 mm), but rather gives estimates of probabilities that seasonal averages or totals will be below average (in the bottom half of historical totals) or above average (in the top half of historical totals). The weather forecasts are less definitive, the further ahead we look.

Patterns of climate variation

Assessment of predictability of the climate starts by looking for patterns in the historical record between seasonal rainfall or temperature and indices of the larger climate. These patterns include tendencies towards wetter conditions in eastern Australia during La Niña events and drier conditions there during El Niño events. Other patterns such as sea temperatures are also known to affect winter rainfall, particularly in central Australia.

Improving prediction

Improvements in seasonal prediction could come from the discovery of as yet unnoticed important patterns in the historical data. It is more likely however that improvements will come from changes in the way seasonal forecasts are prepared. At the moment, the seasonal forecasts are prepared by looking at the statistical relationships in the historical data between seasonal rainfall/temperature and the ocean patterns in the Pacific and Indian Oceans. For this sort of scheme to be successful, it has to be assumed that the future is going to be much like the recent past (i.e. the last 50 to 100 years).

In contrast, today's weather forecasts are prepared by looking at conditions as they are at the moment, and projecting those conditions forward by the use of large complicated computer models, which describe a range of physical processes. It is thought that in the next ten to twenty years, seasonal forecasts for Australia will be prepared in the same way. This would allow the impact of any recent climate change to be taken into account when preparing the forecast.

Using the Bureau's climate information - Where to start

The Bureau's climate prediction reports use specific terms you will need to know first.

Climate Outlooks - Frequently Asked Questions

Seasonal rainfall Outlook
This is a written and mapped summary of rainfall probability across Australia over the next 3 months.

Seasonal temperature Outlook

Rainfall Variability and Probabilities
Includes an interactive animation along with teacher's lesson plan and student's worksheet.

 


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