Summary:

Warmer-than-average sea surface temperatures in the Gulf of Mexico may have limited rainfall during the catastrophic Central Texas storms of 4 July 2025, according to a new modelling study published in Geophysical Research Letters. The simulations suggest that, in this case, elevated Gulf temperatures weakened the Great Plains low-level jet, reducing the amount of moisture transported into the storm system.

Using high-resolution climate model simulations, researchers from The University of Texas at Austin examined how the event would have unfolded if Gulf sea surface temperatures and regional soil moisture had been closer to their long-term averages. The simulations showed that unusually wet soils left behind by Tropical Storm Barry intensified rainfall by supplying additional moisture and strengthening local atmospheric circulation. However, the influence of warmer Gulf waters was even greater, weakening the Great Plains low-level jet that normally carries moisture northward into Texas.

The modelling indicates that rainfall totals across Central Texas would have been about 5–8% higher if Gulf sea surface temperatures had been closer to the 40-year average for early July. The results suggest that, for this event, the influence of warmer Gulf waters outweighed the rainfall-enhancing effect of saturated soils.

The researchers say surface conditions such as sea surface temperatures and soil moisture evolve more slowly than storms themselves, making them potentially valuable for improving forecasts of future extreme rainfall events.

Image: Three maps showing rainfall totals in the Texas Hill Country on July 4, 2025 based on different data inputs
Three maps showing rainfall totals in the Texas Hill Country on July 4, 2025 based on different data inputs. The map on the left shows rainfall totals as recorded by rain gauges. The map in the middle is a model of the rainfall based on observed sea surface temperatures. The map on the right is a model of what rainfall totals could have looked like had sea surface temperatures been at their 40-year average for this time of year. Researchers note that although there are differences between the left and middle rainfall maps, these differences are considered minor and similar to the differences one would see between two different rain gauge datasets or differences among the various models run by the Weather Service. Credit: Vizy et al. (2026) | DOI: 10.1029/2026GL123271 | Geophysical Research Letters | CC BY

— Press Release —
UT climate model of last year’s July 4 storms suggests that sea surface temperatures actually reduced rainfall

Last fall, the 12 students in the Jackson School of Geosciences’ GEO 347G ‘Climate System Modeling’ class set out to understand something that hit close to home: what were the climatological factors that made the July 4, 2025 rainstorm in Central Texas so severe? What they discovered was that the storm – which caused catastrophic flooding that killed at least 139 people – very well could have been worse.

In a paper published in Geophysical Research Letters, Research Scientist Edward Vizy and Professor Kerry Cook analyzed the class’s work and discovered that above-average sea surface temperatures weakened an air current called the Great Plains low-level jet, thus weakening this enormous rainstorm.

Had sea surface temperatures in the Gulf of Mexico been at the 40-year average for this week in early July, the researchers estimate that rainfall totals could have been 5-8% higher over Central Texas. (Vizy said it would take further work to quantify how exactly this would have impacted flood levels.)

Instead, warmer-than-average sea surface temperatures reduced the contrast between land and ocean temperatures, and this slowed down the jet. The Great Plains low-level jet is a fast-moving current of air that curves from the Gulf of Mexico over Texas, the Great Plains, and eastern United States. As the jet stream’s winds hit the higher terrain of the Texas Hill Country, they are forced upward, setting in motion a process that can cause storms to develop and intensify. A weaker low-level jet means weaker storms and less intense rainfall.

There are many factors that contribute to how a storm develops. Vizy and Cook concentrated on the storm’s connection to sea surface temperatures and soil moisture because it can inform the prediction of future storms.

Image: Elizabeth Chapa
Elizabeth Chapa presents her final project to the GEO 347G class in December 2025. Her instructor, Research Scientist Edward Vizy, is seen in the foreground. Credit: Jackson School of Geosciences

“Sea surface temperatures in the Gulf of Mexico, soil moisture – these surface conditions are more persistent than the storm itself. So it gives you a leg up on predictability,” Cook said. “We say, ‘there’s memory there.’ That’s what can help with lead times.”

The models the GEO 347G class and the researchers ran are very similar to models that forecasters run for weather prediction. Cook said that forecasters and climate scientists at the Austin/San Antonio office for the National Weather Service will see the results from this study; her hope is that it will help them better understand the role of the Great Plains low-level jet in storm development when predicting future storms.

Soil moisture also contributed to the development of the storm; soils in the region were wet following Tropical Storm Barry, an on-the-ground condition that can enhance storm precipitation totals. Vizy and Cook found that soil moisture not only acted as a source of moisture for storm development, it also influenced the circulation and the low-level jet strength, which affected the storm rainfall totals.

For the first few weeks of the semester, the students in GEO 347G worked to model the storm exactly as it occurred, working to correctly simulate how, when and where the rain fell in this storm, as compared with satellite observations, radar data and ground conditions. This initial step is not a simple one. For instance, a small spinning circulation in the thunderstorm, known as a mesoscale convective vortex, formed within the larger storm. For this weather event to have been properly simulated in the models, that vortex needed to develop over the Hill Country at the correct time.

Read also: Why warming looks different across US states

The class then made a series of changes to the models’ surface conditions, changing sea surface temperatures and soil moisture to their average values to see how the storm would change. These perturbation simulations, as they’re called, were run on the high-performance supercomputers at the Texas Advanced Computing Center, which completed them in a matter of hours. This access to TACC is what made it possible for the class to present on their findings in the span of one semester, Vizy said.

Having 12 students be able to complete all these runs added to the robustness of the final study, said Vizy. And according to Elizabeth Chapa, a student in the class, being able to create a climate model that helped illuminate how the devastating storm worked made the research particularly meaningful to the students, too.

“(This storm) directly affected everyone in this class,” Chapa said. “The scientific question was so specific to us and to Texans, so I think that makes it even more special that we got to contribute to this specific paper on this specific topic.”

Journal Reference:
Vizy, E. K., & Cook, K. H., ‘Influence of surface conditions on the 04 July 2025 extreme storms in Central Texas’, Geophysical Research Letters 53, e2026GL123271 (2026). DOI: 10.1029/2026GL123271

Article Source:
Press Release/Material by Julia Sames | University of Texas at Austin
Featured image: Historic rainfall fell across central Texas, leading to catastrophic flooding that claimed many lives. Credit: GOES imagery | CSU/CIRA & NOAA Source: Catastrophic flooding in Texas Hill Country

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