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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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”