Climate Model Summary

Strong positive IOD persists, but likely to weaken in summer

A strong positive IOD (Indian Ocean Dipole) continues and is forecast to remain strong until the end of 2019. 

IOD events break down when the monsoon trough transitions into the southern hemisphere, which typically occurs in early December. However, the monsoon trough is likely to be delayed this year, likely due to the strength of the current positive IOD event. As a result, the prolonged and widespread dry conditions experienced over much of Australia during 2019 (related to this event) are likely to persist into December, before easing later in summer.

The El Niño–Southern Oscillation (ENSO) is currently neutral. The latest outlooks from the surveyed models suggest that an ENSO-neutral state is the most likely scenario for the remainder of 2019 and the first quarter of 2020.

NINO3.4 outlook

The latest weekly NINO3.4 value to 24 November is +0.6 °C, continuing within ENSO-neutral bounds. The general consensus amongst models is for the central tropical Pacific (NINO3.4) to remain neutral through to at least March 2020.

An ENSO-neutral state means that the El Niño–Southern Oscillation has little influence on Australian or global climate. 

Indian Ocean Dipole (IOD) outlook

Sea surface temperatures in the Indian Ocean have shown patterns consistent with a positive IOD event since the end of May, with the IOD index exceeding the positive IOD threshold from mid-July. The latest value for the week ending 10 November is +1.4 °C, well above the +0.4 °C threshold which indicates when a positive IOD is underway

All models suggest positive IOD index values are likely to persist into summer. However, the dipole pattern is unable to persist once the monsoon trough moves into the southern hemisphere. This typically occurs in early December, but the retreat of monsoon trough from Indian was delayed this year, due to the strength of the positive IOD event, likely delaying the shift into the southern hemisphere.

 

Australian Community Climate Earth-System Simulator–Seasonal (ACCESS–S)

The Bureau of Meteorology's climate model generates a six-month forecast for the NINO and IOD indices each fortnight.

The most recent model run (generated 23 November) suggests sea surface temperatures in the central tropical Pacific (NINO3.4) will remain warmer than average during December, but below the El Niño threshold, before returning again to neutral values in 2020. For the Indian Ocean Dipole (IOD), the Bureau's model suggests the positive IOD has peaked, but strong positive IOD values are likely to persist into summer.

The forecast values, shown below in bold, are for the model's ensemble mean.

Product code: IDCKGL0000

Australian climate is influenced by temperature patterns in the Pacific and Indian Oceans. This page provides information on Pacific and Indian Ocean outlooks for the coming six months based on a survey of international climate models.

Further details: ENSO Wrap-Up (ENSO and IOD); Climate Outlooks

Average of international model outlooks for NINO3.4

Average of international model outlooks for the Indian Ocean Dipole (IOD)

Based on the ensemble mean for the most recent model run.

The arrows on the dials indicate the combined average of monthly outlooks from a survey of international global climate models. Note that the individual model runs vary around the average.

 

NINO3.4 covers the central Pacific region.

Graphs

Nino 3.4 2 month outlook Models information
Graph details

The graphs are based on the ensemble mean for the most recent model run.

These graphs show the average forecast value of NINO3.4 for each international model surveyed for the selected calendar month. If the bars on the graph are approaching or exceeding the blue dashed line, there is an increased risk of La Niña. Similarly, if the bars on the graph are approaching or exceeding the red dashed line, there is an increased chance of El Niño.

Graphs

Latest IOD outlook Models information
Graph details

The graphs are based on the ensemble mean for the most recent model run.

Thse graphs show the average forecast value of the IOD index for each international model surveyed for the selected calendar month. If the majority of models are approaching or exceeding the blue dashed line, then there is an increased risk of a negative IOD event. If the majority of models are approaching or exceeding the red dashed line, then there is an increased risk of a positive IOD event.

More information:

Sea surface temperature graphs

Australian climate is influenced by sea surface temperature patterns in the Pacific and Indian oceans. Specific regions are monitored, as they can indicate the presence, or potential development, of ENSO (El Niño/La Niña) and Indian Ocean Dipole (IOD) events.

Sea surface temperature graphs

NINO34 predictions for the next 5 months.

Outlook graph for selected SST region

NINO34 probabilities

About the graphs

The plume graphs show outlook scenarios for sea surface temperatures (SSTs) averaged over particular regions of the Pacific and Indian oceans. The SSTs in these regions are related to different phases of the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD); climate drivers that can influence Australian rainfall and temperature patterns.

The graphs show 99 possible scenarios (grey lines), that are produced by the Bureau's climate outlook model, which represent the range of outcomes that may occur over the forecast period. For example, they may show the SSTs in the NINO3.4 region to be warming, cooling, or remaining mostly steady. At times the outlook might suggest a shift towards (or away from) values typically associated with El Niño or La Niña events. Each of the 99 scenarios is based on current conditions in the global oceans/atmosphere and how the model anticipates their likely development over the outlook period, with each given slightly different treatment to provide a range of likely possibilities. This technique allows us to see the range of what is possible, with a small spread in the range of scenarios meaning more confidence in the likely path, and a larger spread meaning less confidence.

The green line is the average of all these 99 scenarios, often known as the ensemble mean. The solid black line shows the observations (based on the Bureau's SST observation analysis for each region) for the previous months.

The graphs are updated fortnightly. As a result, the value given for the 'current month' can vary depending on at what point in the month the forecast is being issued. Forecasts made on the 1st to the 11th of the month show a forecast value for the current month. For forecasts made after the 11th of the month, a month-to-date observation (shown by an open circle and dashed line), based on weekly observational data, will be used for the current month as a preliminary value until the final monthly data is available.

These plume graphs and data are also included in the Bureau's ENSO Wrap-Up and Model Summary webpages.

About the maps

While the climate model runs a set of 99 possible scenarios, it can be useful to look at the ensemble mean (the average of these forecasts) to see the most likely scenario. The global SST maps show the most likely SST anomaly for the months and seasons ahead. This can be useful to see how ENSO and IOD look spatially. The SST anomalies show the difference from the 1990-2012 average (often referred to as the base period).

About the outlook model

The long-range SST outlooks are generated by the Bureau's climate model, ACCESS–S (Australian Community Climate Earth-System Simulator–Seasonal). ACCESS–S is the Bureau of Meteorology's dynamical (physics-based) weather and climate model used for monthly, seasonal and longer-lead climate outlooks. Prior to August 2018, climate outlooks (including these graphs) were produced by the Bureau's earlier model, POAMA.

Definitions



Product code: IDCK000073

Model details

The models used within our survey are listed below with links to their agency homepages, model output and technical information about the model.

Model data are provided for Bureau of Meteorology use by the agencies detailed in the Models section. Respective agency copyright applies to these data.