Space City Weather released a new flood scale this summer. Photo courtesy of Kinder Institute

UH scientists develop new flood scale for Houston weather resource

Weather Warning

One of the selling points of Houston's Space City Weather (SCW) blog and app has always been its hype-free forecasts. Meteorologists Matt Lanza and Eric Berger inform and soothe the 5 million annual visitors to the site in search of information about the latest weather events around Houston — without hyperbole.

But when severe weather alerts happen, how can SCW reach people in the Greater Houston area in such a way that they know it is time to take action and seek shelter? And when they do, will people understand the best actions to take?

To communicate information with the proper sense of urgency, SCW partnered with University of Houston Professor of Psychology Steven Paul Woods and doctoral student Natalie C. Ridgely to test out the effectiveness of messaging and a new flood scale.



“My lab does work on how people access, understand, and use health information, so I thought we could adapt some of that ongoing work and our expertise in psychological science to answer questions about weather communication, and help keep Houstonians informed and safe,” said Woods.

Woods, Ridgely, and their team recruited 100 Gulf Coast residents for a study and then presented them with weather forecasts that ranged in severity. One group reviewed the previous flood scale model used by Space City Weather that Lanza and Berger felt wasn't conveying enough urgency and information, and another reviewed a new enhanced scale that focused on predictive consumer behavior.

By framing the flood scale in terms of what people should expect to do (fuel vehicles, identify safety routes, etc.), they noticed users were more likely to actually perform preparations.

"People in the weather-protective cue group did a better job of planning for the storms,” said Woods. “We were able to improve flood-protective plans for the people who were at greatest risk of being unprepared.”

SCW has already implemented the new scale on its site as Houston moves further into Atlantic hurricane season. This change will hopefully fulfill SCW's goal of giving residents access to clear information to help them make safety decisions regarding the weather. Each entry on the 1-5 scale offers a simple checklist of safety behaviors, from encouraging the monitoring of emergency frequencies to preparing to move to higher ground. It's simple, but in disastrous situations, sometimes people need to be reminded clearly of simple tasks.

“Frankly, it feels great to be able to expand the Space City Weather Flood Scale to help people take action,” said Lanza.

“One of my biggest concerns about the scale was that we came up with it ourselves, which is fine in a vacuum. But as a scientist, I wanted us to make sure we were pushing out something that was adding value to storm prep, not adding confusion. Does it pass the test of being meaningful and scientifically sound? And who better to help solidify that than an expert in psychology?”

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A version of this article originally appeared on CultureMap.com.

StormGeo, a Houston-based weather intelligence provider, has partnered with Norwegian company 7Analytics to create technology positioned to revolutionize planning for floods. Photo courtesy of Kinder Institute

Weather analytics platform with Houston HQ taps Norwegian biz to optimize tech

weatherproof tech

There’s no way around it: Houston floods. And with the deluge comes hurdles for businesses. The only real power we have in the face of such adversity is preparation.

StormGeo, a weather intelligence provider with its United States headquarters in Houston, has partnered with Norwegian company 7Analytics to create technology positioned to revolutionize planning for floods.

StormGeo debuted in Norway in 1997. In 2012, it acquired Houston company Impact Weather, says Bob Weinzapfel, a meteorologist and senior project manager of weather insights for StormGeo. Houston is one of 24 offices spread over 15 countries with more than 600 employees, Weinzapfel adds.

The team at 7Analytics, according to Weinzapfel, “Are a bunch of smart flood experts and machine learning experts.” Together, they are introducing a technology that Weinzapfel calls “a game changer” for Houston businesses.

7Analytics uses AI to give users an overview of Houston’s potential flooding based on a 72-hour forecast. “Any business like a grocery store or hospitals or even a refinery—any business with employees or customers, it’s important to know Are the roadways being flooded? Can my employees and customers get in?” says Weinzapfel.

StormGeo has long provided weather insights and guidance to businesses in Houston. Now, detailed maps provide real-time flood forecasting.

The maps forecast the probability of flash flooding in each subbasin, but perhaps more importantly, they can home in on clients’ buildings to show what inundation will look like in parking lots and nearby roads.

"Our product takes a real-time StormGeo weather forecast — for example, the risk of rainfall tomorrow—and translates it into actionable risk info, such as their site is at risk of up to a foot of flooding tomorrow with peak flood occurring at 2 p.m.," explains Jonas Toland, co-founder of 7Analytics.

Armed with such information, businesses can adjust operations ahead. For example, one client is a grocery store chain.

“They have business processes they have to get a jump on. The locations that have customers try to be the last to close and first to open,” Weinzapfel says.

That means that storm tracking can help with letting the store’s team know to purchase more emergency supplies to sell, schedule more employees to help sell them, and know when to close to keep those workers safe.

The Houston version of the solution is the first, but Weinzapfel says that the team is currently working to expand across greater Houston and then into Austin.

“We knew if we could do it here and do a really good job, we could do it anywhere using the same technology,” he adds.

There’s no question that flooding will continue to take place in Houston. But with StormGeo and 7Analytics’ Houston-area flood model, the people that serve us will be prepared.

A Rice University professor has developed a new early warning system and planning tool for the city of Houston. Photo courtesy of Kinder Institute

Rice University debuts new flood alert system for Houston

water feature

It's no secret: certain areas around Houston are at a high risk of flooding. And risks associated with such natural disasters become even more substantial in the middle of a pandemic.

"What if first responders have to go to a shelter, a nursing home, or another facility where there's COVID, right in the middle of a flood," Phil Bedient, director of Rice University's Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center, asks in a statement.

His solution? To develop a new early warning system and planning tool for the city of Houston to help hospitals and other critical facilities on the watersheds of Brays, Sims, Hunting and White Oak bayous respond.

"The idea is to provide a tool that can help emergency managers better deal with situations with multiple risks," he says.

Dubbed the Flood Information and Response System (FIRST), the tool is a radar-based flood assessment, mapping, and early-warning system based on more than 350 maps that simulate different combinations of rainfall over various areas of the watershed. The maps are compared to a weather radar and stream gauges on the bayous to alert users of likely scenarios during a weather event.

FIRST was derived from the Rice/Texas Medical Center Flood Alert System (FAS), which Bedient created 20 years ago. The latest iteration, FAS5, debuted in 2020. Since the product's creation it has accurately alerted users in more that 60 storms and has warned hospital officials in the TMC of the threat of rising water in the area more than two hours before it would eventually occur, according to a statement.

FIRST was funded by federal CARES Act dollars and commissioned by the Houston Health Department, following concerns that overflows at wastewater treatment plants could potentially expose communities to the COVID-19, Loren Hopkins, chief environmental science officer for the Houston Health Department and professor in the practice of statistics at Rice, says in a statement.

"The FIRST model assessed what areas and facilities are at highest risk of overflows that could spread SARS-CoV-2 and other pathogens during flooding and similar events," Hopkins added. "During a flood, the information gained through this system will inform the public health response to control the spread of pathogens that could make people sick."

CARES funds for FIRST's development were approved in the fall and Rice University undergraduates jumped at the opportunity to build out the product by the December 31 deadline, using hydrologic software and maps they had created with training from Bedient about a year prior.

"They performed herculean tasks," Bedient says. "Our deadline was hard and fast, and they helped us deliver the operational project and report on time."

FIRST was reported to have worked well during May's deluge, and will continue to be refined as more data, storms, and floodwaters arise. A demo is available to test online.

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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

  • No. 1 – Virginia
  • No. 2 – New York
  • No. 3 – New Jersey
  • No. 4 – Washington
  • No. 5 – Connecticut
  • No. 6 – Utah
  • No. 7 – Colorado
  • No. 8 – Minnesota
  • No. 9 – Illinois
  • No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.