The Weather App That Could Save Your Life on the Trail
Every serious outdoorsman has a version of the same story. A bluebird morning, a trailhead full of confidence, a summit that looks close enough to touch — and then, somewhere around noon, the sky turns the color of a bad bruise and the air starts smelling like ozone. Weather is the variable that humbles even the most experienced backcountry travelers, and for decades, the tools available to manage that variable have been woefully inadequate for anyone venturing far from a cell tower or a ZIP code.
Standard weather apps are built for people checking whether to bring an umbrella to work. They average conditions across wide geographic areas, update on slow cycles, and have no mechanism to tell a hiker camped at 12,000 feet in Colorado what the lightning risk is at that exact point on the map at that exact hour. Plans for outdoor adventures from day hikes to backcountry ski trips make or break on the same bedrock: the weather — yet it remains one of the hardest variables to predict. A clear morning can give way to gale-force winds and lightning by the afternoon. For anyone who's invested months of planning, thousands of dollars in gear, and considerable personal risk in a big trip, that uncertainty is not acceptable.
A new tool is changing that equation in a meaningful way, and the outdoor community is starting to pay attention.
What StormNet Actually Is
The March 2026 launch of StormNet brought an AI-based severe weather forecasting model that predicts lightning, hail, damaging winds, and tornadoes with an average accuracy of 98.8 percent. That number is not marketing copy — it comes from rigorous, independent testing. StormNet's near-real-time severe weather forecasts update every two minutes and can be pinpointed to an exact location on the map. That second detail is the one that matters most to anyone who's ever tried to cross-reference a regional forecast with the specific ridgeline they're planning to scramble.
Weather apps can help, but few of them forecast for specific coordinates or update in real time — not ideal when you've booked your campsites nine months in advance. StormNet is built precisely to solve that problem, and the result is something that functions less like a traditional weather app and more like having a professional meteorologist running point-specific models for wherever you're headed.
The app is free, and it might transform how people prepare for the outdoors and assess risk before and during their adventures. For the hiking, climbing, fishing, and paddling crowd, that's not hyperbole — it's a fundamental shift in how pre-trip planning and in-field decision-making can work.
The Man Behind the Model
The story of StormNet is as compelling as the technology itself, and it runs straight through one person: Andrew Brady, an Atlanta-based meteorologist who started building weather prediction systems not inside a well-funded government laboratory, but in his own home. Brady is a meteorologist and technologist with a passion for life-saving weather prediction who began experimenting with weather models in 2020, building a foundation of science and engineering with a singular goal: to improve life-saving weather prediction.
The constraints he worked under would have stopped most people. Unable to afford enterprise GPUs, Andrew built a custom home GPU server from scratch — assembling parts, rigging components on plywood, and debugging it into a working system that would later train StormNet v0.1. That's a level of determination that belongs in the same sentence as the garage startup legends of Silicon Valley, except Brady was building something with direct, immediate consequences for human safety rather than a social media algorithm.
The model gained traction in 2023 and 2024, particularly after successfully predicting real-world events like the Mayfield, KY EF4 tornado. Successfully predicting a violent tornado at useful lead times is exactly the kind of real-world proof-of-concept that draws serious attention from the meteorological community. It drew OpenSnow's attention too.
The tech Brady created was so good that OpenSnow, a snow forecast tool skiers and snowboarders use to chase powder, acquired StormNet in 2024. OpenSnow has since used that tech to improve its existing tools and to launch StormNet as a standalone app and website. As of March 2026, Brady is 25 years old — making the scope of what he's accomplished in a few years all the more remarkable.
OpenSnow's Evolution: From Powder Days to Life-Saving Tech
To understand why the OpenSnow-StormNet partnership makes sense, you have to understand what OpenSnow has been building since its founding. In 2011, OpenSnow began predicting snowfall for skiers and snowboarders, then expanded to create forecasts to support many types of outdoor activities, with forecasts available globally. Anyone who's used the app to chase a deep powder day at a western resort knows how good the site-specific snowfall forecasts are — OpenSnow's meteorologists write daily reports for individual ski resorts that are often more accurate than anything the National Weather Service publishes for those locations.
OpenSnow has since become a global leader in mountain weather forecasts and expanded to provide forecasts for every type of outdoor activity. But lightning has always been the variable that sits outside the traditional snow forecast window. Since lightning is a risk to outdoor activities, especially on longer mountain-based adventures, OpenSnow endeavored to create a system that would provide both real-time lightning forecasts to support in-the-moment decisions and multiple-day outlooks to support trip planning. The acquisition of Brady's work gave them the engine to do exactly that.
The acquisition of StormNet is a sign that OpenSnow is committed to innovation, and the company has multiple world-first innovations on the way, mostly focused on mountain weather. OpenSnow is also working on a second AI model called PEAKS. Brady has described PEAKS as addressing the challenge of improving mountain weather forecasting and going beyond conventional weather models, with models fine-tuned for mountainous weather and complex terrain. Brady said OpenSnow is also working on a new avalanche prediction model that could examine avalanche danger up to 15 days in the future. That would represent a genuine leap for backcountry skiers and mountaineers, who currently rely on avalanche center bulletins that lag by hours and cover large geographic zones rather than specific aspects and elevations.
How StormNet Works in the Field
Point-Specific Forecasting
The core feature that sets StormNet apart from every other app a backcountry traveler might have on their phone is its ability to forecast for a precise geographic point rather than a regional average. A user can pick a point on the StormNet map — say the top of a peak they plan to climb — and see a near-real-time forecast for that exact point. They'll know that a storm is expected to roll in at 1 PM and how far away the lightning is expected to hit. They'll also know if severe winds are expected and when.
That level of specificity changes the entire calculus of summit decision-making. Anyone who has climbed in the Rockies, the Cascades, or the Sierra Nevada knows that convective afternoon thunderstorms can build with terrifying speed. The old rule of thumb — be off exposed terrain by noon — is blunt and conservative because it has to be. Better data means better decisions, and better decisions mean more summits reached and more people returning safely to the trailhead.
According to Brady, "a lot of our users spend a lot of time outside, whether that's hiking or fishing or running, and they'll use the point forecast to look at lightning probabilities where they're planning on going." The ability to drag a crosshair across a map and pull up location-specific probability data is the kind of feature that professional expedition meteorologists have used for years — now it's available to anyone with a smartphone.
Real-Time Updates During the Approach
Pre-trip planning is one thing. What StormNet also delivers is dynamic, in-the-moment intelligence during an approach or ascent. A user can check the app while hiking, watching the storm roll in or out so that when it comes time to make the call on whether to push for the summit, the decision is informed. That's a fundamentally different mode of operating than checking a static forecast at the trailhead and hoping for the best.
StormNet offers two primary map views: Radar + Risk, which shows high-res radar alongside StormNet risk probabilities from the past 1.5 hours through the next 4 hours, and Risk Forecast, which shows StormNet risk probabilities from real-time to 14 days into the future. That 14-day window is particularly significant for anyone planning a multi-day backpacking trip or an extended climbing objective — it's far beyond what most severe weather tools offer at any level of reliability.
The Four Hazards It Tracks
StormNet offers comprehensive risk layer customization, allowing users to precisely select between lightning, hail, damaging winds, and tornado forecasts with adjustable layer opacity. Each of those hazards carries specific implications for different outdoor pursuits.
Lightning is the obvious one for hikers and climbers, but the hail and damaging wind layers matter too. An elevated risk of hail in an area that a user plans to drive to in the next 30-90 minutes can affect plans and help avoid vehicle damage — relevant for anyone shuttling a raft, towing an ATV trailer, or pulling a climbing rack to a remote crag. A heightened risk of tornado in the 30-60-minute time frame gives users the necessary heads-up to pay close attention to the weather over the coming hour and take cover if needed, potentially providing a life-saving alert.
The Radar Integration
Super-Res Radar is the highest-resolution NEXRAD radar data available from 159 stations across the continental United States. Each radar station updates every 3-4 minutes and measures the intensity of precipitation based on how much energy the radar signal receives back from objects in the atmosphere. Combined with StormNet's predictive probability layers, this creates something no other consumer weather tool has put together. StormNet integrates with Super-Res Radar to offer intuitive, layered maps that show current radar imagery alongside probabilistic risk contours for severe weather.
The NOAA Test That Changed Everything
Independent verification separates useful tools from marketing claims, and StormNet has now been independently verified at the highest level available in American meteorology. Two months after its launch, StormNet went head-to-head with models from the National Center for Atmospheric Research (NCAR), the University of Oklahoma, and Google DeepMind at the 2026 NOAA Hazardous Weather Testbed Spring Forecasting Experiment.
During the blind experiment, conducted in April and May 2026, StormNet ranked first across all lead times and during each week of the experiment, resulting in a first-place overall ranking at the conclusion of the test. The margin wasn't close. Across all lead days, StormNet scored 6.40 against WxNext2 Mean from Google DeepMind at 5.95 and AIWP Mean IFS from NCAR at 5.71.
The Spring Forecasting Experiment is an annual, multi-week initiative co-led by the National Severe Storms Laboratory and the Storm Prediction Center that evaluates experimental models and radar technologies to improve the lead time and accuracy of tornado, hail, and flash flood warnings. The scores are based on the ratings of hundreds of expert human forecasters — not automated metrics, but people who spend their careers interpreting severe weather and know what good looks like.
StormNet surpassed the other models by a significant margin in each test, performing so well that the National Weather Service asked to use StormNet data for the remainder of the year. That's the kind of institutional endorsement that doesn't happen casually. When the agency responsible for official U.S. weather warnings decides it wants to incorporate a privately developed AI tool into its own operational workflow, that's a signal worth taking seriously.
Brady's own account of the results captures how unexpected — and how complete — the win was. "At the end of the experiment, facilitators asked to use StormNet in their forecasting to test how well it does through the rest of the summer," Brady said. "We're proud of how our technology stacked up against the competition, and are pleased to offer it as a free app download for everyday users who might find it useful when planning travel or activities based on the severe weather risk."
Based on over 250 severe weather events from 2024, StormNet provides more accurate tornado forecasts than the National Weather Service and is more accurate than other lightning prediction systems. Specifically, on tornado detection in the short range, StormNet scores 67 percent versus 62 percent for the NWS. In tornado country — the Plains, the South, the mid-South — that difference represents real lives.
Why This Matters for Outdoor Recreation Specifically
Lightning: The Backcountry Killer That Doesn't Get Enough Respect
Lightning kills roughly 20 Americans every year, according to the National Weather Service, and injures hundreds more. The outdoor recreation community is disproportionately represented in those numbers. Summiteers, ridge runners, open-water paddlers, and anglers standing in a river in a thunderstorm are all in elevated exposure positions. The traditional approach to lightning risk management — watch the sky, count seconds between flash and thunder, head to lower ground when things look sketchy — is a rough heuristic built around observable data. StormNet gives users probability-weighted data before the observable signs even appear.
For hiking specifically, a heightened risk of lightning in the 30-60-minute time frame may necessitate turning around early or seeking shelter or going to a lower elevation. That's exactly the kind of actionable, time-specific guidance that separates a tool built for outdoor use from a generic weather platform. Thirty to sixty minutes of lead time on a lightning event can be the difference between reaching a rock overhang at 10,000 feet and being caught on an exposed ridgeline when the first bolt drops.
Fishing: The Other High-Exposure Activity
Freshwater anglers wading trout streams and saltwater fishermen running offshore are among the outdoor recreation groups most exposed to sudden severe weather. The combination of water, metal rods, elevated geographic positions (in the case of western waders), and a culture that tends to tolerate bad weather rather than avoid it makes lightning prediction acutely relevant.
Brady specifically names fishing as a core use case. Many StormNet users "spend a lot of time outside, whether that's hiking or fishing or running," and use the point forecast to check lightning probabilities at their specific destination. A bass angler launching before dawn on a Tennessee reservoir, an offshore captain running 30 miles into the Gulf of Mexico, or a fly fisherman working a high-alpine lake in Wyoming can all pull up the exact coordinates they'll be fishing and see an hourly probability breakdown for the next 14 days before they ever leave the dock or the trailhead.
Climbing and Mountaineering
Alpine starts — those pre-dawn departures designed to get climbers on technical terrain before afternoon convection builds — are a standard risk management tool in mountaineering. The whole system depends on having a rough idea of when the weather turns. StormNet doesn't replace the knowledge and judgment required to read the sky and the terrain, but it adds a data layer that goes far beyond anything that's been available to non-professional climbers.
For multi-day alpine routes in ranges like the Cascades or the Wind Rivers, the 14-day forecast window is particularly valuable. Users can plan travel and activities based on severe weather risk, with forecasts extending out to 14 days at one-hour intervals. One-hour resolution over a two-week forecast window is a level of granularity that expedition teams have historically had to pay professional meteorologists to provide.
How to Use StormNet Before and During Your Trip
Pre-Trip Planning
The 14-day risk forecast view is where trip planning starts. Users can drop a pin on a specific summit, a river put-in, or a campsite and pull up the probability of each hazard type at hourly intervals through the forecast window. The Risk Forecast view shows StormNet risk probabilities from real-time out to 14 days into the future. This is the tool for deciding whether to target Friday or Saturday for a summit push, or whether the weather window that looks good on a generic regional forecast is actually clean at the specific elevation and location of the objective.
The custom alert system adds another layer of utility. StormNet allows users to set custom alerts for lightning, hail, tornado, and precipitation for their current location. For anyone running a base camp operation, managing a group in the field, or simply wanting to know the moment conditions deteriorate at their destination, that alert functionality works as an automated early warning system.
In-the-Field Decision-Making
Once on the trail, the Radar + Risk view is where most real-time decisions get made. The Radar + Risk view shows high-res radar alongside StormNet risk probabilities from the past 1.5 hours through the next 4 hours. That 4-hour window, updated every two minutes, is the data a person needs when they're standing at a col at 11 AM deciding whether to continue to the summit or start the descent. The update frequency is critical — a storm that was 45 minutes out can accelerate, and a forecast that's an hour old in convective conditions can be dangerously stale.
The app's lightning risk forecast illustrates probabilities with color-coded contours and provides a future time progression via an integrated timeline. Hail risk projections present potential hail areas through an intuitive color gradient, enabling detailed temporal analysis with playback controls. The interface is designed to be readable in the field — on a phone screen, in changing light, by someone who may be tired and under physical stress. That's a design consideration that distinguishes purpose-built outdoor tools from weather platforms adapted for outdoor use.
The Bigger Picture: AI and Outdoor Safety
StormNet's success at the NOAA Hazardous Weather Testbed is part of a broader shift in how weather prediction works. Machine learning models trained on decades of historical atmospheric data are beginning to outperform the numerical weather prediction systems that have dominated operational meteorology since the 1950s. Severe weather forecasts have existed for decades, and StormNet's technology offers many improvements over the normal forecast products from the U.S. Government's Storm Prediction Center.
The StormNet model was trained using historical weather data compiled by NOAA as well as data from SPC and NCEI. Researchers used state-of-the-art methods to convert these historical data into what they describe as a first-of-its-kind severe weather prediction model. The training data that makes StormNet possible represents a half-century of public investment in atmospheric science — and now that investment is returning dividends directly to citizens in the form of a free app.
The implications stretch beyond recreation. As one severe weather forecaster put it, StormNet is "the single most useful tool in convective environments," particularly for managing lightning thresholds for venues, job sites, and outdoor events. Outdoor event organizers, trail race directors, and wilderness guides all face the same core problem: making go or no-go calls under uncertainty with real stakes attached. A tool that reduces that uncertainty with 98.8 percent average accuracy across all tracked hazards is not a marginal improvement — it's a category change.
While many meteorologists and weather centers like NOAA are also beginning to implement AI models for broad forecasting, OpenSnow's models are unique to mountain conditions. That specificity is exactly what's been missing. The mountains have their own weather regimes — orographic lift, valley drainage winds, elevated convective initiation thresholds, complex terrain effects on storm motion — that generic national models handle poorly. StormNet, trained and validated against real severe weather events rather than theoretical benchmarks, is built for the environments where outdoor athletes actually operate.
Gear and Logistics: Getting the Most Out of StormNet
Using StormNet effectively requires a couple of basic considerations on the logistics and gear side. Cell service is the obvious one. Users can pick a point on the StormNet map and see a near-real-time forecast for that exact point — but accessing real-time data requires connectivity. For wilderness trips beyond cell range, the smart play is to screenshot or download relevant forecast data before departure and use the app's alert features while connectivity is available during the approach.
Battery life matters more when a weather app is being checked every hour on a long approach. Anyone running StormNet in the field should have a battery pack in their kit — this is sound practice regardless, but the value of maintaining phone access to real-time weather data during a mountain day makes it more critical. A dead phone means falling back on sky-reading and the count-to-thunder method, which is exactly where the app was designed to improve on.
For groups, designating one person as the weather monitor — someone checking StormNet at regular intervals and communicating the probability picture to the group — is a practical application of the tool's capabilities. Guide services running commercial trips in lightning-prone terrain like Colorado's Fourteeners corridor would be well-served to build StormNet checks into their standard operating procedures, particularly during shoulder seasons when afternoon convection is most aggressive.
The Free App That Outperforms Expensive Systems
The economic angle on StormNet is worth sitting with for a moment. The outdoor recreation industry is not short on premium gear and services that charge accordingly. Professional mountain weather forecasting services, when they exist, are expensive and rarely offer the kind of real-time, location-specific data that StormNet provides. Enterprise severe weather data systems — the kind used by utility companies, airlines, and event promoters — cost thousands of dollars per year.
StormNet is free. StormNet is free and available in the United States. A tool that outperformed Google DeepMind and NCAR at NOAA's premier severe weather evaluation is available to download from the App Store or Google Play at no cost, powered by OpenSnow's infrastructure and Brady's AI system. For the solo weekend warrior budgeting carefully between gear upgrades and trip costs, that's a significant value proposition in addition to a safety one.
While other weather apps and companies usually pass along official government watches and warnings, and often communicate if lightning or hail is already close by, StormNet's developers are not aware of another weather app or company that matches StormNet's ability to provide real-time updates for lightning, hail, damaging thunderstorm winds, and tornado risk. That's not a modest claim, but the NOAA test results back it up.
What Comes Next
StormNet's trajectory over the next several years is worth watching. The app launched in March 2026 and within two months was competing against — and defeating — models from Google, NCAR, and the University of Oklahoma in a blind federal evaluation. The development pace Brady has maintained since building his first home GPU server on plywood suggests that the current feature set is a starting point rather than a ceiling.
The developer's own response to user requests for expanded coverage is measured but open-ended. The team has stated that severe weather is their number one focus, though they could expand in the future to other areas. The avalanche prediction model in development, which could examine avalanche danger up to 15 days in the future, suggests the roadmap extends well beyond the current four-hazard framework. Snow, extreme heat, and winter storm tracking are all within technical reach for a team that has already demonstrated the ability to outperform the best forecasting organizations in the world.
For now, StormNet represents the best freely available tool for severe weather risk assessment in the American outdoors. For anyone who plans and executes backcountry adventures — who makes real decisions in real terrain with real consequences — it belongs on the phone next to the topo maps and the satellite communicator app. The mountains don't care how good your gear is when the lightning starts. StormNet at least gives you a fighting chance to know it's coming before it arrives.
