About the climate outlooks

About the outlook

Video demonstration of the climate outlooks   Transcript   

Video about climate outlooks    Audio    Transcript   

  • The rainfall and temperature climate outlook maps show the percentage chance of experiencing wetter/drier (and warmer/cooler) than median1 weather for the upcoming three months. Outlooks for separate months as well as the three-month period are available.
  • The climate outlooks are issued twice-monthly. The outlook released mid-month provides a 'first look' at likely rainfall and temperature patterns for the months and season ahead. The outlooks released at the end of the month update the mid-month outlook, and hence provide the Bureau's best advice on the likely temperature and rainfall patterns.
  • Additional information on the likelihood of rainfall exceeding particular totals is also provided, as well as the rainfall totals that have a specific chance of occurring (e.g 75% chance of 100 mm).
    Details: Rainfall scenarios
  • The climate outlooks are generated from the Australian Community Climate Earth-System Simulator–Seasonal (ACCESS-S), the Bureau's dynamical climate model.
    Details: Outlook model
  • While weather forecasts can tell you what the temperature will be tomorrow and how much rain to expect, climate outlooks cannot be this specific. This is because they are looking further ahead and the further we look ahead, the more small random changes can amplify into different weather patterns. However, longer-term forecasts of seasonal statistics, such as whether rainfall or temperature will generally be above or below median, are possible to accurately predict.
    Details: Past accuracy
  • Probability-based outlooks are designed to be used as one of several planning tools within risk management and decision-making. The greatest benefits of using Bureau climate outlooks will accrue from long-term use, for example over a 10-year period.
    Read our blog: What to expect from the climate when the outlooks are neutral
  • 1 Median is a measure of what is considered typical rainfall or temperature for a specific location - similar to mean or average. Due to the high variability of rainfall, and the fact that in some locations, one very wet year can substantially change the overall average, using the median (the middle number when you rank past rainfall or temperature from lowest to highest) is the best representation of typical rainfall.
    Details: Medians

Outlook update schedule

The outlooks are issued twice a month, usually on the second and last Thursday of each month, at 10 am AEST/AEDT. Download schedule as calendar file (ICS).

Feedback

We welcome feedback about the climate outlook service.

Rainfall scenarios

  • Climate outlooks are given as a probability (or chance) of exceeding a specified threshold. In the case of the Bureau’s rainfall outlook, it is provided as the chance of rainfall being above median, expressed as a percentage.
  • For many people interested in specific rainfall amounts (e.g. 200 mm for the season), or who make decisions at specific probabilities (e.g. if there is a 75% chance it will be drier than normal), the Bureau uses a statistical technique to transform output from the climate outlook model into rainfall scenarios that can be viewed in two different ways:
    • Chance of at least (the chances that the three-month or individual monthly rainfall will exceed particular thresholds, e.g. 200 mm)
    • Outlook scenarios (the three-month or individual monthly rainfall amounts that have a specific chance of occurring, e.g. 25%).
  • 75% chance of exceedingThe climate outlook data is prepared on a 60 km by 60 km grid. So chance of above median forecasts are calculated for an area of approximately 3600 km2 (60 km by 60 km), not for the specific longitude and latitude displayed in the pop-up boxes.
  • For the chance of at least and outlook scenario maps, a statistical technique is used to transfer the chances for the larger region to a smaller 25 km by 25 km region (the Bureau's rainfall data set is used, which has a 25 km by 25 km resolution). This is the resolution of the outlook scenario and chance of at least maps (including the chance of at least information shown in the graphs in the location pop-up boxes) – see example pop-up box right.

Outlook scenario maps

  • 75% chance of exceedingOutlook scenario maps convert the climate outlook into the rainfall amounts which have a 75%, 50% or 25% chance of occurring. To illustrate, the map on the right shows the rainfall outlook from 1 July to 30 September 2008. The colours on the map show the amount of rainfall (mm) that has a 75% chance of occurring during this period. The location highlighted with the black circle in western Victoria, has a 75% chance of receiving at least 100 mm and possibly up to 200 mm of rain.

Chance of at least maps

  • Chance of at least 150 mmChance of at least maps present the seasonal rainfall outlook in a different way. You can choose from 12 different rainfall amounts (in mm) for the coming season. The map displays the chance of receiving that amount. To illustrate, the map to the right shows the chance of receiving a total rainfall amount of at least 150 mm between July and September 2008. The colours on the map show the percentage chance of 150 mm of rain occurring. The location highlighted with the black circle in western Victoria has a 65 to 75% chance of 150 mm of rain occurring during the period.
  • Chance of at least rainfall outlook maps are consistent with the outlook scenarios. For the same location in the examples above, the chance of at least 150 mm of rainfall is 65 to 75%, which is consistent with the outlook scenario which shows a 75% chance of at least 100 mm, and possibly up to 200 mm.

Rainfall and temperature medians

  • Median is a measure of what is considered typical rainfall or temperature for a specific location - similar to the mean or average. Due to the high variability of rainfall, and the fact that in some locations, one very wet year can substantially change the overall average, using the median (the middle number when you rank past rainfall or temperature from lowest to highest) is the best representation of typical rainfall.
  • Example median mapThe medians (or 50th percentile) for Bureau climate outlooks are calculated from the 1990 to 2012 period. The quality of dynamical model forecasts is partly determined by the coverage and accuracy of the observations fed into the model. Therefore, to be consistent from one year to the next, the Bureau has only run its model during the modern satellite era, which is why medians are calculated post-1980 for climate outlooks.
  • Median maps for the 1990 to 2012 period for all months and seasons are available from the climate outlook Map archive and Median maps. The median maps on the climate outlooks website will sometimes differ from other median maps on the Bureau's website. This is because the dynamical model forecasts use a period of 1990 to 2012 to calculate medians (as explained above), while the median maps located on other parts of the Bureau's website use the full Bureau climate record (which extends for more than 100 years).

The model

The Bureau of Meteorology's climate forecast system for monthly, seasonal and longer-range climate outlooks is called the Australian Community Climate Earth-System Simulator – Seasonal (ACCESS–S). It is a state-of-the-art dynamical (physics-based) forecast modelling system, which uses ocean, atmosphere, ice and land observations to initiate outlooks for the season ahead. The ACCESS–S climate model is a collaboration between the Bureau of Meteorology and the UK Meteorological Office (UKMO).

The atmosphere and land model components of ACCESS–S operate at an approximate resolution of 60 km in the Australian region. At this resolution, the model is able to represent the markedly different climates of the Great Dividing Range and the eastern seaboard in Australia's east. Coarser resolution models, like the Bureau's previous dynamical model (POAMA – Predictive Ocean Atmosphere Model for Australia), aren't able to capture these differences as well.

The ocean model component of ACCESS–S operates at an approximate resolution of 25 km in the Australian region. At this resolution, the model can resolve small-scale currents and eddies.

Being a dynamical model, ACCESS–S is undergoing continuous research and development. Advances in the science of seasonal prediction, improvements in the observations and how they are fed into the model, as well as increases in supercomputing power are just some of the ways the model's accuracy will increase over time.

For more technical details on ACCESS–S, see: Hudson, D. et al, 2017: ACESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth Systems Science, 67:3 132-159

ACCESS–S replaced POAMA in August 2018. POAMA, also a dynamical climate model, was used for official Bureau climate outlooks from May 2013 until ACCESS‐S was brought into operation. Prior to 2013, the Bureau used a statistical method to generate climate outlooks.

Past accuracy

  • Past accuracy mapModel accuracy (also known as model confidence or model skill) is a measure of how well the model has performed at that time of year in the past. One way that the Bureau measures the accuracy of its climate models is by comparing how often the real outcomes matched the forecast. This measurement of accuracy is known as percent consistent (or past accuracy), and has been tested for the Bureau's climate outlook model over the period from 1990 to 2012.
  • Past accuracy is not the only way the Bureau assesses climate models, but it is presented here as it is one of the simplest and most informative measurements of accuracy. Other aspects of overall model ability (skill) are also routinely assessed.
Past accuracy legend
      75% and above — very high
  65 to 75% — high
  55 to 65% — moderate
  50 to 55% — low
  45 to 50% — low
  Below 45% — very low
  • Past accuracy maps for all months and seasons are available from the climate outlook Map archive and Accuracy maps. On these maps, the higher the percent consistent value for an area (i.e. the /greener/darker the map), the greater the accuracy of outlooks has been in that area for that time of year and the more confidence can be placed in future outlooks. Areas of the map that are not shaded have a lower record of accuracy in that area for that time of the year. In the least accurate areas, the outlooks perform no better than random chance (equivalent to the flip of a coin). As a guide, the Bureau uses the terminology in the table on the right when referring to the accuracy of the outlooks.
  • The accuracy for the second month ahead is generally less than the accuracy for the first month ahead; this is to be expected as the second month looks further into the future and is further from when the outlook period starts. Similarly, the accuracy for outlooks issued at the end of the month, or closer to when the outlook period starts, is typically higher than the accuracy for outlooks issued in the middle of the month.