Official NOAA December La Nina Update: Double Double

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December 2017 La Niรฑa update: Double, doubleย 

December 14, 2017

Our second La Niรฑa year in a row is in full swing now, and isย forecastย to last through the winter. In November, the average surface water temperature in theย Niรฑo3.4 regionย of the central Pacific Ocean was aboutย 1.0ยฐCย cooler than the long-term average. A โ€œdouble-dipโ€ La Niรฑa is not uncommonโ€”seven La Niรฑa winters in the 1950-presentย historical recordย followed La Niรฑa the previous winter: 1955, 1971, 1974, 1984, 1999, 2008, and 2011. In fact, two years, 1975 and 2000, were third-year La Niรฑas. Only four years, 1964, 1988, 1995, and 2005, were single-year La Niรฑas.

Monthly sea surface temperature in the Niรฑo 3.4 region of the tropical Pacific compared to the long-term average for all multi-year La Niรฑas since 1950, showing how 2016-17 (blue line) compares to other events. Multi-year La Niรฑa events are defined as at least 2 years in a row where theย La Niรฑa criteriaย are met. Both continuous events, when theย Oceanic Niรฑo Indexย remained below -0.5ยฐC, and years when the ONI warmed mid-year before again cooling, are included here. For three-year events, both years 1-2 and 2-3 are shown. Climate.gov graph based on ERSSTv5 temperature data.

This graph illustrates something interesting about our current La Niรฑa. During multi-year La Niรฑas, the surface temperature in the Niรฑo3.4 region often moves closer to average after the first winter, before cooling again to get back into La Niรฑa territory for the second winter. However, this is the first time on record the surface temperature has beenย warmerย than average for a period before returning to La Niรฑa conditions.

Eye of newt and toe of frog

Also, there are continuing signs that the atmosphere is responding to the cooler-than-average surface waters with a strengthenedย Walker Circulation. Evidence of the atmospheric response is provided by fewer clouds and less rain over the central Pacific and more rainfall than average over Indonesia. Stronger-than-average near-surface trade winds (the east-to-west winds along the equator) and upper-level winds were also observed during November.

Speaking of the atmospheric responseโ€ฆ as weโ€™ve discussedย manyย timesย before in this space, ENSO (El Niรฑo/Southern Oscillation) is aย coupledย ocean-atmosphere system. Meaning, the changes in the ocean affect the atmospheric circulation, and the atmospheric circulation affects the ocean, in a feedback loop. In the case of La Niรฑa, the cooler-than-average waters in the central and eastern Pacific lead to stronger east-to-west surface winds. Those winds in turn help to cool the surface further and to keep warmer water trapped farther to the west, in the region of Indonesia. This is why ENSO is a system (a charm of power and trouble?) and not just a bunch of odds-and-ends (wool of bat and tongue of dog?).

One nice way to visualize the strength of the feedback between the ocean and the atmosphere is to analyze the relationship between the ocean surface warming/cooling and the changes in wind stress. The wind stress is essentially the force that the wind exerts on the ocean surface. When wind blows over water, it drags on the water. The amount of wind stress is a combination of the speed of the wind, the height of the ocean surface waves, and the air density.

Sea surface temperature anomaly (departure from long-term average) observed in the Nino3.4 region (black line). Shading shows sea surface temperature anomaly tendency due to wind stress. Orange indicates times when the wind stress tends to enhance surface warming; purple shows where the wind stress tends to enhance cooling. Climate.gov figure based onย data from CPCโ€™s Zeng-Zhen Hu.

During La Niรฑa, the wind stress is usually stronger than average, mostly due to the faster near-surface winds. If the wind stress is stronger, the ocean-atmosphere coupling is also stronger, leading to more cooling of the ocean surface. Recently, the wind stress has been reinforcing the cooler central and eastern Pacific surface, telling us that La Niรฑa conditions are solidly in place.

Toil and trouble?

La Niรฑa is expected to affect global weather patterns this winter. As I mentioned above, the stronger Walker Circulation means there is more convection (rising air, clouds, and storms) over Indonesia and the far western Pacific, and even less than average over the central Pacific.

In addition, warm air that rises along the equator travels toward the poles and descends in the mid-latitudes, in a pattern called theย Hadley Circulation; the descending air fuels the subtropical jet stream. During La Niรฑa, with more convection in the far west Pacific and less in the central Pacific, theย subtropical jet stream is retracted to the west.ย The retracted jet means fewer storms reach the west coast of the United States, tending to leave the southern tier of the country warm and dry. For more details on how La Niรฑa affects the circulation, check outย Tomโ€™s great post.

Typical impacts of La Niรฑa during winter in the Northern Hemisphere. NOAA Climate.gov map.

The La Niรฑa tendency toward warmer and drier along the U.S. southern tierย is reflected inย the Climate Prediction Centerโ€™s seasonal outlook for this winter. Theย outlooksย will be updated on December 21stย for the Januaryโ€“March period.

Of course, on this blog weโ€™re constantly emphasizing that one month does not a season make. However! Itโ€™s interesting to note that this past monthโ€™s precipitation and temperature averages over North America resemble the expected La Niรฑa winter pattern.

November 2017 temperature (left) and precipitation (right) anomalies for North America. Anomalies are difference from the long-term (1981-2010) average. Climate.gov figure from CPC data.

Thereโ€™s no guarantee that this is giving us a preview of winter; attributing rain and temperature effects to climate patterns is no easy task, and Novemberโ€™s not winter anyway. That said, La Niรฑaโ€™s witchโ€™s brew is likely to affect our winter, potentially continuing the warmer and drier conditions we saw during November.

Thanks to Zeng-Zhen Hu for his help with this post!


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