Updated on 01 February 2018

Warm sea surface temperature (SST) anomalies over the Nino3.4 region are still present (Figure A) but weakening. The 1-month Nino3.4 value for December 2018 was 0.9 (dipped from the previous monthly value of 1.0) while the 3-month (October to December 2018) average Nino3.4 was 1.0 (Figure B). The preliminary Nino3.4 value for January 2019 (partial month) fell significantly to below 0.5. Furthermore, temperatures beneath the ocean surface continue to show cooling trends since December 2018, especially for the central and eastern equatorial Pacific. Atmospheric indicators (e.g. outgoing longwave radiation, and trade winds) have not responded to the recent positive anomalies and remained weak or non-existent.

Models predict the tropical Pacific Ocean SST anomalies over the Nino3.4 will weaken further (Figure C). Overall, a continued return to ENSO-neutral conditions is expected in the coming months (Figure D).

Impact of El Niño/La Niña on Southeast Asia

Typically the impact of El Niño on Southeast Asia is drier-than-normal rainfall conditions, especially during the period June and October (Figure E), and over the Maritime Continent. Warmer temperature conditions typically follow drier periods. The impact is more significantly felt during strong or moderate intensity events. During La Niña events the opposite, i.e. wetter-than-normal conditions, normally occurs. For November – January season, the impact of El Niño/La Niña is less coherent for some parts of Southeast Asia (Figure F). Locally-specific impact differs from place to place and for different seasons.

No two El Niño events or two La Niña events are alike in terms of their impact on the region’s rainfall and temperature. Furthermore, the strength of events and the corresponding impact do not always scale. For example, there were years where relatively weaker El Niño/La Niña events had more impact on rainfall during the June to October period than the stronger events, but this could be contributed by other factors as well.

Sea-surface temperature anomaly over the Pacific and Indian Oceans.

    Figure A: Sea-surface temperature (SST) anomalies for December 2018 with respect to 1976-2014 climatology. Warm shades show regions of relative warming, while cool shades show regions of relative cooling. The tropical Pacific Ocean Nino3.4 Region (solid red box, 120°W-170°W and 5°S-5°N) show warm anomalies remain in December 2018. The western Indian Ocean, WTIO (solid black box, 50°E-70°E and 10°S-10°N) was warmer compared to the south-eastern Indian Ocean, SETIO (dotted black box, 90°E-110°E and 10°S-0°N). The Indian Ocean Dipole Mode index (WTIO minus SETIO) although positive is within neutral. Data source: ERSSTv5 from NOAA.

 

Observed Nino3.4 index

    Figure B: The Nino3.4 index using the three-month running means of SST anomalies (against 1976-2014 base period) in the Nino3.4 region bounded by 5°N to 5°S and 170°W to 120°W. Warm anomalies (≥ +0.5) correspond to El Niño conditions while cold anomalies (≤ -0.5) correspond to La Niña conditions; otherwise neutral (> -0.5 and < +0.5). The horizontal axis is labelled with the first letters of the 3-month seasons, e.g. JFM refers to January, February, and March seasonal average. Data source: ERSSTv5 from NOAA.

 

Forecast Nino3.4 index

    Figure C: Forecasts of Nino3.4 index’s strength for 2019 from various seasonal prediction models of international climate centres. Values above +0.5°C indicate El Niño conditions, below -0.5°C indicate La Niña conditions, and in between indicate neutral conditions, i.e. neither El Niño nor La Niña. Models predict the Nino3.4 index to weaken in the coming months (image credit: IRI-CPC).

 

Probabilistic Nino3.4 Outlook

    Figure D: Probability of El Niño (red), La Niña (blue) and neutral conditions (grey) for 2019. Models significantly favour continued return to neutral conditions in the coming months. (image credit: IRI-CPC).

 

June to October rainfall anomaly compositeRainfall scale

    Figure E: June to October rainfall anomaly composite for El Niño years minus La Niña years. Brown shades show regions where El Niño induce drier conditions and La Niña induce wetter conditions, while regions in green shades show the opposite effect, i.e. El Niño inducing wetter conditions and La Niña inducing drier conditions (image credit: IRI Data Library). Note that this anomaly composite was generated using a limited number of El Niño/La Niña occurrences between 1979 and 2016 and therefore should be interpreted with caution (data: NOAA CPC CAMS_OPI).

 

November to January rainfall anomaly compositeRainfall scale

    Figure F: November to January rainfall anomaly composite for La Niña years minus El Niño years. Green shades show regions where La Niña induce wetter conditions and El Niño induce drier conditions, while regions in brown shades show the opposite effect, i.e. La Niña inducing drier conditions and El Niño inducing wetter conditions (image credit: IRI Data Library). In general, La Niña events tend to induce wetter conditions for many parts of the region, except for Borneo and southern Sumatra. Note that this anomaly composite has been generated using a limited number of El Niño/La Niña occurrences between 1979 and 2016 and therefore should be interpreted with caution.

 

El Niño/La Niña
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    For El Niño/La Niña updates, information provided by the World Meteorological Organization (WMO) and various international climate centres are assessed. The centres include the Climate Prediction Center (CPC) USA, the Bureau of Meteorology (BoM) Australia, as well as information from the International Research Institute for Climate and Society (IRI) which consolidates model outputs from various other centres around the world.