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Climate change increased chances of record rains in Louisiana by at least 40%: NOAA and partners

September 7, 2016   by Canadian Underwriter

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Human-caused climate warming increased the chances of the torrential rains that unleashed record flooding in southern Louisiana in mid-August by at least 40%, according to a team of National Oceanic and Atmospheric Administration (NOAA) and partner scientists with World Weather Attribution (WWA).

As of Aug. 17, Louisiana officials reported that the flood had claimed 13 lives, more than 30,000 people had been rescued, more than 8,100 slept in shelters and more than 60,000 homes had been damaged. Photo credit: NOAA.

For the assessment, scientists conducted a statistical analysis of rainfall observations and used two of NOAA’s high-resolution climate models to understand how the odds have changed for such three-day events between the early 20th century and the early 21st century. The results were consistent using observational data and climate models, NOAA explained in a press release on Wednesday.

“We found human-caused, heat-trapping greenhouse gases can play a measurable role in events such as the August rains that resulted in such devastating floods, affecting so many people,” said Karin van der Wiel, a research associate at NOAA’s Geophysical Fluid Dynamics Laboratory and the lead author of the study. “While we concluded that 40 per cent is the minimum increase in the chances of such rains, we found that the mostly likely impact of climate change is a near doubling of the odds of such a storm.”

The research focused on the central Gulf Coast of the United States, and investigated events as strong as that observed at the height of the storm (Aug. 12-14) to provide a regional context and a broader assessment of risk. The climate model experiments involved altering the climate based on levels of greenhouse gases in the atmosphere, aerosols such as soot and dust, ozone and natural changes in the sun’s radiation and from volcanic eruptions for various periods of time to assess how extreme rainfall events respond to climate changes.

Related: Southern Louisiana flooding results in significant property damage: AIR Worldwide

“Extreme event attribution analyses are meant to characterize the changing nature of weather risk,” said Heidi Cullen, chief scientist at Climate Central, an independent climate science and news organization that leads WWA. “The information is critical to insurers, policy makers, engineers and emergency managers as they work to make communities more resilient.”

Models indicate that the return period* for extreme rain events of the magnitude of the mid-August downpour in Louisiana has decreased from an average of 50 years to 30 years. A typical 30-year event in 1900 would have had 10% less rain than a similar event today, for example, 23 inches instead of 25. *Return intervals are statistical averages over long periods of time, which means that it’s possible to have more than one “30-year event” in a 30-year period. (NOAA, based on Van der Wiel, et al., 2016.)

NOAA explained in the release that the storm began when a low-pressure system carried massive levels of moisture from an unusually warm Gulf of Mexico over south Louisiana, where the system stalled, leading to record breaking precipitation in the region around Baton Rouge. The rains were followed by inland flash flooding and river flooding that was slow to recede due to flooding downstream. As of Aug. 17, Louisiana officials reported that the flood had claimed 13 lives, more than 30,000 people had been rescued, more than 8,100 slept in shelters and more than 60,000 homes had been damaged.

The rapid assessment was submitted to the open access journal Hydrology and Earth System Sciences, which has an open online peer review process. The article Rapid attribution of the August 2016 flood-inducing extreme precipitation in south Lousiana to climate change can be found at

Geert Jan van Oldenborgh of the Royal Netherlands Meteorological Institute, part of the international research network known as WWA that was formed to provide near real-time analysis of extreme weather events, reported that “this was by far the hardest fast attribution study we have done, given all the different small-scale weather types that cause precipitation in the region. It was encouraging to find that our multi-model methods worked even for such a complicated case,” Oldenborgh said.