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How AI can improve storm surge forecasts to help save lives

storm surge forecasts: Hurricanes cause significant damage due to storm surge, which is influenced by wind and pressure. AI can enhance storm surge predictions, providing faster, more accurate information to aid evacuations and preparedness for coastal communities at risk.

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A hurricane’s storm surge can quickly inundate coastal areas. Chip Somodevilla/Getty Images

Navid Tahvildari, Florida International University

Hurricanes are America’s most destructive natural hazards, causing more deaths and property damage than any other type of disaster. Since 1980, these powerful tropical storms have done more than US$1.5 trillion in damage and killed more than 7,000 people.

The No. 1 cause of the damages and deaths from hurricanes is storm surge.

Storm surge is the rise in the ocean’s water level, caused by a combination of powerful winds pushing water toward the coastline and reduced air pressure within the hurricane compared to the pressure outside of it. In addition to these factors, waves breaking close to the coast causes sea level to increase near the coastline, a phenomenon we call wave setup, which can be an important component of storm surge.

Accurate storm surge predictions are critical for giving coastal residents time to evacuate and giving emergency responders time to prepare. But storm surge forecasts at high resolution can be slow.

A coastal area with severe damage to homes and others buildings.
An aerial photo of Fort Myers Beach, Fla., in the aftermath of Hurricane Ian in September 2022 shows the damage storm surge can do. Ricardo Arduengo/AFP via Getty Images

As a coastal engineer, I study how storm surge and waves interact with natural and human-made features on the ocean floor and coast and ways to mitigate their impact. I have used physics-based models for coastal flooding and have recently been exploring ways that artificial intelligence can improve the speed of storm surge forecasting.

How storm surge is forecast today

Today, operational storm surge forecasts rely on hydrodynamic models, which are based on the physics of water flow.

These models use current environmental conditions – such as how fast the storm is moving toward shore, its wind speed and direction, the timing of the tide, and the shape of the seafloor and the landscape – to compute the projected surge height and determine which locations are most at risk.

Hydrodynamic models have substantially improved in recent decades, and computers have become significantly more powerful, such that rapid low-resolution simulations are possible over very large areas. However, high-resolution simulation that provide neighborhood-level detail can take several hours to run.

Those hours can be critical for communities at risk to evacuate safely and for emergency responders to prepare adequately.

A map of Florida shows areas at greatest risk of storm surge.
The National Hurricane Center’s storm surge forecast for Hurricane Ian two days before it made landfall near Fort Myers, Fla., on Sept. 28, 2022. NOAA

To forecast storm surge across a wide area, modelers break up the target area into many small pieces that together form a computational grid or mesh. Picture pixels in an image. The smaller the grid pieces, or cells, the higher the resolution and the more accurate the forecast. However, creating many small cells across a large area requires greater computing power, so forecasting storm surge takes longer as a result.

Forecasters can use low-resolution computer grids to speed up the process, but that reduces accuracy, leaving communities with more uncertainty about their flood risk.

AI can help speed that up.

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How AI can create better forecasts

There are two main sources of uncertainty in storm surge predictions.

One involves the data fed into the computer model. A hurricane’s storm track and wind field, which determine where it will make landfall and how intense the surge will be, are still hard to forecast accurately more than a few days in advance. Changes to the coast and sea floor, such as from channel dredging or loss of salt marshes, mangroves or sand dunes, can affect the resistance that storm surge will face.

The second uncertainty involves the resolution of the computational grid, over which the mathematical equations of the surge and wave motion are solved. The resolution determines how well the model sees changes in landscape elevation and land cover and accounts for them, and at how much granularity the physics of hurricane surge and waves is solved.

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Detailed storm surge models can provide more specific information about expected flood height. These two modeled examples show the difference in expected flooding from a fast-moving storm, above, and a slow-moving storm, below. NOAA
file 20250706 56 h3cwsp
Slower-moving storms tend to have higher and broader storm surge inland, including into bays and estuaries. NOAA

AI models can produce detailed predictions faster. For example, engineers and scientists have developed AI models based on deep neural networks that can predict water levels along the coastline quickly and accurately by using data about the wind field. In some cases, these models have been more accurate than traditional hydrodynamic models.

AI can also develop forecasts for areas with little historic data, or be used to understand extreme conditions that may not have occurred there before.

For these forecasts, physics-based models can be used to generate synthetic data to train the AI on scenarios that might be possible but haven’t actually happened. Once an AI model is trained on both the historic and synthetic data, it can quickly generate surge forecasts using details about the wind and atmospheric pressure.

Training the AI on data from hydrodynamic models can also improve its ability to quickly generate inundation risk maps showing which streets or houses are likely to flood in extreme events that may not have a historical precedent but could happen in the future.

The future of AI for hurricane forecasting

AI is already being used in operational storm surge forecasts in a limited way, mainly to augment the commonly used physics-based models.

In addition to improving those methods, my team and other researchers have been developing ways to use AI for storm surge prediction using observed data, assessing the damage after hurricanes and processing camera images to deduce flood intensity. That can fill a critical gap in the data needed for validating storm surge models at granular levels.

As artificial intelligence models rapidly spread through every aspect of our lives and more data becomes available for training them, the technology offers potential to improve hurricane and storm surge forecasting in the future, giving coastal communities faster and more detailed warnings about the risks on the way.

Navid Tahvildari, Associate Professor of Civil and Environmental Engineering, Florida International University

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This article is republished from The Conversation under a Creative Commons license. Read the original article.

STM Daily News is a vibrant news blog dedicated to sharing the brighter side of human experiences. Emphasizing positive, uplifting stories, the site focuses on delivering inspiring, informative, and well-researched content. With a commitment to accurate, fair, and responsible journalism, STM Daily News aims to foster a community of readers passionate about positive change and engaged in meaningful conversations. Join the movement and explore stories that celebrate the positive impacts shaping our world. 

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Entertainment

The End of an Era: Six Flags Magic Mountain Says Goodbye to an Original Piece of Park History

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Last Updated on July 21, 2026 by Daily News Staff

For millions of Southern Californians, a visit to Six Flags Magic Mountain meant more than just riding roller coasters. It was a rite of passage—a place where families spent summer vacations, teenagers celebrated graduations, and thrill seekers chased ever-faster rides.

Six Flags Magic Mountain is demolishing the historic Laughing Dragon restaurant, an original 1971 landmark that served generations of Southern California visitors.

Now, one of the last remaining reminders of the park’s opening days is preparing to disappear.

According to KTLA, Los Angeles County has approved demolition permits for the former Laughing Dragon Restaurant, an iconic structure perched atop Samurai Summit that has overlooked Magic Mountain for more than five decades.

Although the building has been vacant since 2008, its demolition marks the end of another chapter in one of California’s most famous amusement parks.

A Restaurant with Deep Roots

When Magic Mountain welcomed its first guests in 1971, the building opened as the elegant Four Winds Steakhouse.

Unlike the quick-service restaurants common in today’s theme parks, Four Winds offered guests a sit-down dining experience high above the park, complete with sweeping views of the surrounding Santa Clarita Valley.

In 1988, after the opening of the park’s suspended roller coaster Ninja, the restaurant was renamed The Laughing Dragon, embracing the area’s Asian-inspired theme.

For years, it became a familiar landmark for guests making the climb to Samurai Summit.

Eventually, changing guest habits and the park’s evolving dining strategy led to the steakhouse’s closure in 2006. The building briefly operated as a Papa John’s Pizza location before closing permanently in 2008.

Since then, it has quietly watched generations of visitors pass by.

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More Than an Empty Building

To younger guests, the vacant structure may have seemed like little more than an abandoned restaurant.

To longtime visitors, however, it represented something much larger.

Magic Mountain has transformed dramatically since its opening more than 50 years ago. Wooden roller coasters gave way to towering steel giants. New technology replaced classic attractions. Entire themed areas evolved with each generation.

Yet the former Laughing Dragon remained—a silent reminder of what the park looked like during its earliest years.

For many fans, it was one of those familiar landmarks that helped connect today’s park with its past.

Samurai Summit Continues to Change

The demolition comes during a period of significant change for the Samurai Summit section of the park.

Nearby, Superman: Escape from Krypton closed in 2024 after decades of launching riders nearly 400 feet into the air. Meanwhile, Tatsu continues to dominate the skyline with one of the world’s most celebrated flying roller coasters.

Construction is also underway on Magic Mountain’s newest attraction—a Vekoma Thrill Glider Roller Coaster, expected to debut in 2027. While the park has not announced what will replace the Laughing Dragon site, many enthusiasts believe the area could become part of future expansion plans.

The Challenge of Preserving Theme Park History

Unlike museums or historic landmarks, amusement parks are constantly reinventing themselves.

Older attractions are removed to make room for larger, faster, and more technologically advanced experiences. Restaurants close as guest preferences change. Buildings that once bustled with activity can quickly become obsolete.

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From a business standpoint, redevelopment makes sense.

But every demolition also removes another tangible connection to the park’s history.

Many Disney attractions have been preserved through photographs, documentaries, and archives. Regional parks like Magic Mountain often receive far less historical attention, making the loss of original structures even more significant for longtime fans.

Looking Ahead

Magic Mountain has not revealed what, if anything, will replace the Laughing Dragon building.

Whether the site becomes part of a new attraction, additional guest amenities, or another expansion remains to be seen.

What is certain is that another piece of the park’s 1971 identity is about to disappear.

For those who grew up visiting Magic Mountain, it’s another reminder that while roller coasters continue to evolve, nostalgia often rides alongside progress.


Did You Know?

  • 🎢 Magic Mountain opened on May 29, 1971.
  • 🥩 The building originally housed the Four Winds Steakhouse.
  • 🐉 It became The Laughing Dragon after Ninja opened in 1988.
  • 🍕 It briefly served as a Papa John’s before closing permanently in 2008.
  • 🏗️ The building sat vacant for nearly 18 years before demolition plans were approved.

STM Daily News Perspective

As someone who grew up in Southern California, I know that Magic Mountain wasn’t just another amusement park—it was part of the Southern California experience. While the biggest headlines usually focus on new roller coasters, it’s often the quieter stories, like the loss of a familiar restaurant overlooking the park, that resonate most with longtime visitors. Places like the Laughing Dragon became part of family traditions, first dates, school trips, and summer vacations. Its demolition is a reminder that every park evolves, but each change also closes another chapter of its history.


Join the Conversation

Have you ever eaten at the Four Winds or the Laughing Dragon? Do you have memories of visiting Magic Mountain in the 1970s, ’80s, ’90s, or early 2000s?

Share your favorite Magic Mountain memories in the comments below, and subscribe to the STM Daily News newsletter for more stories celebrating Southern California history, attractions, and the places that shaped our communities.

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Ghost Jobs: The Hidden Hiring Trend Affecting Millions of Job Seekers

Ghost jobs are becoming a growing concern for job seekers. Learn what they are, why companies post them, and how they affect hiring, the economy, and your job search.

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Why You Keep Applying—But Never Hear Back

If you’ve ever spent hours tailoring your résumé for a position only to hear nothing in return, you may have encountered what’s known as a ghost job.

concentrated young black guy sitting at table and working remotely on netbook. Ghost Jobs.
Photo by Andres Ayrton on Pexels.com

A ghost job is a job posting that appears active but isn’t currently being filled. While not every old or inactive listing is intentionally misleading, many remain online long after hiring has paused—or even after the position has already been filled.

The result is growing frustration among job seekers and increasing questions about the accuracy of employment data.


What Exactly Is a Ghost Job?

A ghost job is an advertised position where an employer has little or no immediate intention of hiring someone.

This doesn’t necessarily mean the company is acting maliciously. There are several reasons these listings exist.

Companies may:

  • Build a database of future candidates
  • Test salary expectations and available talent
  • Comply with internal hiring policies
  • Maintain the appearance of growth
  • Delay removing listings after a hiring freeze or filled position

For applicants, however, the experience is often the same: applications disappear into a black hole.


Why Companies Post Ghost Jobs

Some employers say maintaining job listings helps them prepare for future growth.

Others keep positions open because budgets haven’t been finalized or executive approval hasn’t been granted.

Recruiters may also continue collecting résumés so they’re ready when a position eventually opens.

While these reasons may make business sense, they can create unrealistic expectations for applicants actively searching for work.


The Impact on Job Seekers

Ghost jobs can have real consequences.

Many applicants spend dozens of hours:

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  • Researching companies
  • Customizing résumés
  • Writing cover letters
  • Completing assessments
  • Participating in interviews that never lead anywhere

The emotional toll can be significant.

Repeated silence often leaves qualified workers questioning their experience or abilities when the issue may simply be that the position was never actively available.


How Ghost Jobs Affect the Economy

The effects extend beyond individual applicants.

Employment Data Can Be Misleading

Job openings are often viewed as a sign of economic strength.

If a significant share of posted openings aren’t being actively filled, the labor market may appear stronger than it actually is.

That can influence:

  • Business confidence
  • Consumer confidence
  • Economic forecasts
  • Public policy discussions

Productivity Suffers

Job seekers spend valuable time applying for positions that may never result in interviews.

Recruiters also spend time managing applications for jobs that aren’t immediately available.

Those inefficiencies create costs for both workers and employers.


Hiring Becomes Less Efficient

When applicants lose trust in job boards, they’re less likely to apply broadly.

Companies with legitimate openings may receive fewer qualified applicants because candidates become skeptical of online listings.


Are Ghost Jobs Illegal?

Generally, no.

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In most cases, employers are legally allowed to advertise positions even if they’re not hiring immediately.

However, critics argue that intentionally leaving inactive jobs online without updating their status reduces transparency and wastes applicants’ time.

Some employment experts have called for greater accountability and clearer labeling of inactive or future hiring opportunities.


How to Spot a Ghost Job

While there’s no foolproof method, these warning signs may indicate a listing isn’t actively being filled:

  • The same position has been reposted for months.
  • The posting never disappears.
  • Employees report hiring freezes.
  • The company rarely responds to applicants.
  • The job description is vague or unusually generic.

Tips for Job Seekers

Instead of applying blindly:

  • Focus on recently posted openings.
  • Connect with recruiters or current employees.
  • Research whether the company is actually expanding.
  • Use networking alongside online applications.
  • Follow up professionally when possible.

Quality applications often produce better results than sending hundreds of résumés.


Looking Ahead

Artificial intelligence has made it easier than ever for applicants to submit hundreds of applications—and for employers to post and manage thousands of job listings.

As hiring becomes increasingly automated, transparency may become one of the most valuable qualities in the recruiting process.

For both employers and job seekers, trust remains the foundation of a healthy labor market.

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Joby Aviation and Toyota kick off manufacturing alliance to scale electric air taxi production

Joby Aviation and Toyota launch a joint venture to improve productivity, quality, and cost as they prepare to scale electric air taxi production.

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Joby Aviation and Toyota Motor Corporation have launched the initial phase of a strategic manufacturing alliance aimed at accelerating commercial production of electric air taxis—an early step the companies say is designed to make “air mobility for all” a practical, everyday reality.

Announced June 30, 2026, the partnership formalizes a new joint venture that will combine Joby’s electric aviation development with Toyota’s production systems and operational expertise. The near-term focus: building the groundwork for commercial production while pushing improvements in productivity, quality, and cost—key factors as the industry moves from prototypes to scaled manufacturing.

Joby Aviation and Toyota launch a joint venture to improve productivity, quality, and cost as they prepare to scale electric air taxi production.
Joby Aviation and Toyota Motor Corporation Launch Initial Phase of a Strategic Manufacturing Alliance to Realize Air Mobility for All

What the joint venture is designed to do

According to the companies, the alliance will initially concentrate on:

  • Establishing the foundation for commercial production capability
  • Advancing manufacturing excellence with an emphasis on productivity, quality, and cost
  • Supporting expansion of Joby’s production capacity as it works toward aircraft certification and prepares for anticipated demand

The announcement positions Toyota’s manufacturing playbook—known globally for lean production and continuous improvement—as a lever to help Joby move from development into repeatable, high-quality output at scale.

Why it matters: eVTOLs need scale, not just flight tests

Electric vertical take-off and landing (eVTOL) aircraft have become one of the most closely watched bets in next-generation transportation, but the path to viable air taxi services depends on more than successful test flights. Certification timelines, supply chain readiness, and the ability to produce aircraft consistently (and affordably) are often what separates promising technology from commercial reality.

By forming a joint venture focused on manufacturing readiness, Joby and Toyota are signaling that the next competitive frontier is industrialization—how quickly and reliably eVTOL aircraft can be built to meet safety standards and market demand.

Related Links for Further reading

  1. Joby Aviation (official): https://www.jobyaviation.com
  2. Joby Investor Relations / News (official updates & filings): https://ir.jobyaviation.com
  3. Toyota Newsroom (official): https://www.toyotanewsroom.com
  4. Toyota Global (corporate overview): https://global.toyota/en
  5. FAA Advanced Air Mobility / Air Taxis (context): https://www.faa.gov/air-taxis

What executives are saying

Joby founder and CEO JoeBen Bevirt emphasized the long-running relationship between the companies, calling the joint venture a reflection of shared confidence in the opportunity ahead.

“Toyota has been by Joby’s side for nearly a decade, providing invaluable guidance and support as we built the foundation for manufacturing our aircraft,” Bevirt said. “Together, we share a vision of making aerial mobility an everyday reality.”

Toyota Motor Corporation Chairman Akio Toyoda framed air mobility as an extension of the company’s broader mission.

“Since our founding, we’ve been guided by the philosophy of providing mobility for all,” Toyoda said, adding that Toyota views air mobility as “a natural extension of that philosophy—from the ground into the sky.”

About the companies

Joby Aviation (NYSE: JOBY) is a California-based transportation company developing an all-electric eVTOL air taxi. The company intends to operate its own air taxi service in cities worldwide and sell aircraft to other operators and partners.

Toyota (NYSE: TM) has operated in North America for nearly 70 years and says it is focused on sustainable, next-generation mobility through Toyota and Lexus brands. Toyota reports nearly 64,000 employees in North America, 14 manufacturing plants, and more than 1,800 dealerships. The company also noted that its North Carolina plant began assembling automotive batteries for electrified vehicles in 2025.

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What to watch for next

For readers tracking the air taxi sector, the next milestones will likely center on:

  • Details on how the joint venture will be structured operationally
  • Updates on Joby’s certification progress and production ramp timelines
  • Signs of how manufacturing improvements translate into cost reductions and throughput
  • Additional agreements or expanded collaboration as the alliance progresses

While the companies highlighted expected benefits, they also noted the usual forward-looking risks—such as regulatory certification timelines, market conditions, and the ability to finalize additional agreements.

Source: Toyota Motor North America / PRNewswire (June 30, 2026)

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