A forecast high of 102°F versus 105°F may seem trivial to an average consumer checking the weather. For an enterprise operator managing real-time demand across a power grid, that tiny three-degree variance changes everything. It dictates load forecasting, alters grid-balancing operations, and significantly elevates localized outage risks.

Because ambient environmental conditions impact everything from renewable energy thresholds to crew mobilization and physical restoration timelines, modern utilities can no longer afford to simply consume basic weather data — they must actively operationalize weather intelligence. By treating precision forecasting as a core asset, utilities can effectively bridge the gap between grid resilience and community expectations.

The rising cost of extreme weather on grid reliability

NOAA data reveals that billion-dollar extreme weather events are occurring roughly three times more frequently than in the 1980s, placing unprecedented pressure on grid reliability forecasting and distribution outage response planning.¹

That pressure is increasingly visible across daily operations. Weather-related events caused 80% of major U.S. power outages reported between 2000 and 2023, with outages occurring twice as often over the last decade compared to the early 2000s.² Additionally, the average annual number of weather-related power outages has increased by nearly 80% since 2011.³

Key drivers of weather-related disruptions

• Severe weather (58%): High winds, heavy rain, and severe thunderstorms cause the majority of disruptions.⁴

• Winter weather (23%): Snow, ice, and freezing rain cause prolonged physical grid strain.⁵

• Tropical cyclones (14%): Hurricanes drive some of the longest-lasting regional outages nationwide.⁶

To mitigate these risks, The Weather Company delivers actionable insights through an integrated ecosystem of Weather Data APIs, Forecasts on Demand™ (FOD) technology, and a centralized briefing desk model. Together, these capabilities can help utilities move past static, reactive forecasts to protect power grid reliability proactively.

How weather intelligence supports grid reliability forecasting

Grid reliability forecasting requires more than a single deterministic forecast value. Operators need to visualize the full spectrum of possible outcomes associated with an approaching weather front.

This is why probabilistic forecasting has become essential. Rather than relying on a single baseline metric, utilities evaluate multiple simulated scenarios to calculate statistical likelihoods.

Inside the briefing desk: Turning forecasts into operational decisions

At the core of these workflows is The Weather Company’s briefing desk — a centralized forecasting team providing enterprise-grade support during high-impact weather events like hurricanes, freezing rain, and extreme heat.

Case study: Mitigating risk on independent grids

For one major utility serving millions of customers across Texas, this briefing desk support has anchored storm operations for nearly a decade. The stakes are uniquely high here: Texas experienced the highest number of reported weather-related outages between 2000 and 2023, followed by Michigan and California.⁷

Because Texas operates an independent electric grid, local utilities can’t easily draw power from neighboring interconnections during peak demand or major outages — making forecast accuracy paramount. When severe weather threatens, the decision to mobilize out-of-state mutual aid crews can cost millions of dollars. Those commitments must be made two to five days before conditions deteriorate.

The power of Human-Over-The-Loop (HOTL) oversight

Within our briefing desk model, meteorologists review data before it reaches the client, adding a vital layer of human interpretation. This weather forecasting solutions grid-balancing operations approach combines AI-enhanced forecast modeling with experienced meteorologists who “nudge” outputs based on hyper-local conditions or historical model biases.

For example, adjusting a wind speed forecast by just 3–5 mph based on local terrain variables can shift a utility’s outlook from standard operations to an elevated mobilization posture. For the Texas utility, the briefing desk delivers daily forecast discussions, color-coded risk matrices, 48-hour planning tables, and 5-day wind and thunderstorm probability graphs to enable complete operational readiness.

Balancing the grid with variable renewable energy forecasting

Unlike traditional baseload generation, renewable energy is highly sensitive to rapid weather shifts. For solar operations, utilities must track cloud cover percentages, irradiance, and short-term cloud advection. For wind assets, accurate forecasts are required at both the surface level and turbine hub height, where wind shear creates additional complexity.

Advanced weather forecasting solutions supporting grid-balancing operations help utilities anticipate fluctuations in renewable generation across diverse geographic footprints. If a cloud bank impacts one solar array, operators can see precisely when a nearby asset will pick up the load.

As renewable generation and Battery Energy Storage Systems (BESS) integrate deeply into the grid, precision forecasting dictates market participation. Recent studies show that accurate solar forecasting combined with optimized battery storage allows hybrid systems to supply roughly 60% of commercial load demand, drastically lowering dependence on traditional grid power.⁸

Improving distribution outage response and financial resilience

The financial stakes of grid disruption are immense. The U.S. Department of Energy estimates that power outages cost the U.S. economy $150 billion annually, with weather causing the lion’s share.⁹ Hyper-local weather intelligence gives dispatchers early visibility into where and when conditions will break, enabling faster staging decisions and reducing unplanned downtime.

Precision data also optimizes distribution outage response by helping utilities:

• Mobilize and position mutual aid resources cost-effectively.
• Prioritize critical restoration workflows.
• Manage customer expectations (utilities providing timely outage alerts score 52 points higher in J.D. Power customer satisfaction indexes).¹⁰

During elevated-risk events, the briefing desk increases its cadence, issuing real-time updates on utility-specific hazards like ice accumulation, lightning frequency, and wind gust thresholds.

Emerging weather challenges across the energy sector

As the energy landscape decentralizes, weather forecasting demands are expanding beyond traditional utility boundaries:

• EV charging infrastructure: Cold snaps reduce EV battery range and spike charging demand, while extreme heat shifts charging patterns across metro areas. Granular forecasts help utilities anticipate these localized grid strains.
• Battery storage optimization: BESS operators rely on hyper-local forecasts to execute charge/discharge cycles and maximize energy arbitrage opportunities.
• Green hydrogen production: Electrolysis is most economical when powered by surplus renewable energy. Precise wind and solar forecasts directly influence production efficiency.
• Data center micro-climates: Cooling systems consume enormous amounts of data center energy. Tech companies require localized climate intelligence to model cooling load requirements and manage energy costs.

Operational weather intelligence for a resilient grid

The modern utility challenge is no longer about accessing weather data — it is about translating that data into operational actions. This shift toward grid resilience is mirrored in federal priorities, such as the Department of Energy’s $3.5 billion grid modernization funding initiative.¹¹

By combining advanced Weather Data APIs, FOD technology, and HOTL meteorological expertise, The Weather Company empowers utilities to master grid-balancing operations, improve variable renewable energy forecasting, and execute flawless distribution outage response.

Why the best forecast can still fall short

Here’s a thought experiment. A meteorologist delivers a perfect 10-day forecast: every temperature, every chance of rain, every gust of wind, called exactly right. Then no one looks at it.

Was it a good forecast?

Dr. Allan Murphy, one of the many influential researchers in the history of meteorology, argued that forecasts possess no intrinsic value. They acquire value only through their ability to influence decisions.² Strip away the decision and you strip away the value entirely.

That idea has stuck with us at The Weather Company. It’s both a challenge and a north star.

For decades, the industry has largely focused on one question: How accurate is the forecast? That’s a necessary question, but on its own it’s not enough. The better question is: How much does the forecast actually change what someone does?

That shift in thinking is at the heart of everything we’re building.

The gap between accurate and useful

Think about the last time you checked a weather app before heading out. You probably noticed the temperature, a precipitation percentage, and maybe an icon of some clouds. Now ask yourself: did that answer what you actually needed to know?

If you were planning a morning run, you needed to know whether heading out at 7 a.m. or 9 a.m. gave a better window, not just that rain was “likely” at some point today. If you were deciding whether to water your garden, you needed to know if meaningful rain was coming in the next 24 hours or how much it rained recently, not the general weekly outlook. If you were commuting during a snowstorm, you needed to know when accumulation would begin and how quickly road conditions would change, not only how much snowfall would accumulate.

This is the gap. On one side sits weather forecast accuracy. On the other side sits forecast relevance: the translation of atmospheric data into personalized weather forecast guidance tied to your specific decision, at your specific location, at your specific moment.

That’s the difference between a weather company and The Weather Company – the one that doesn’t just tell you what the atmosphere is doing, but what you should do about it.

What it means to build weather for where you are

Here’s where it gets interesting.

Knowing that rain is coming to a hiking trail is useful. Knowing that rain will begin at 6:42 a.m. at the trailhead where you planned to start your hike and will end by 9:15 a.m. is actionable. Those are two very different things.

Consider a logistics coordinator trying to keep a supply chain moving. A generic regional forecast telling them it might rain doesn’t help them plan. But knowing that a line of severe thunderstorms will hit their primary Midwest distribution hub at exactly 3:00 p.m. allows them to proactively reroute delivery fleets, adjust worker shifts, and protect high-value cargo before the first drop falls.

This is the core of what we mean by weather for where you are, in the context you care about. The Weather Company, through weather.com, The Weather Channel app, and Storm Radar, is building experiences that connect highly precise, hyperlocal forecasts to the activities and choices that define a person’s day.

From raw data to real-life decisions

Explore activity-specific local forecasts within The Weather Channel app.

Here’s how contextually intelligent weather data changes the game in daily life:

Running or cycling: Seeing there’s a 70% chance of rain today tells you very little about whether it’s a safe time for an outdoor workout. A contextually intelligent forecast tells you that the window between 6 and 8 a.m. is dry, breezy, and 58°F, ideal conditions, before afternoon storms roll through. That’s the difference between a great morning workout and a miserable one.

Golfing: Every golfer knows what it means when the horn sounds on the 10th hole. Round over. Cart back. Day ruined. The best weather app for golfers tells you a storm is likely to arrive at 2:15 p.m., so you move your tee time to 8 a.m., finish all 18 holes, and are in the clubhouse with a cold drink before the first clap of thunder.

Gardening: The question isn’t “will it rain this week?” It’s “will it rain enough tomorrow that I don’t need to water today?” A weather forecast for gardeners, tied to soil moisture context and expected precipitation amounts, not just percentages, answers the question you’re actually asking.

Skiing and snowboarding: The difference between a powder day and an icy grind is a few degrees and a few hours. A hyperlocal weather forecast for skiing tells you when temperatures will drop, where new snow will fall, and how wind affects conditions at elevation – turning a forecast into a trip-planning tool.

Scaling context to the enterprise

This need for context doesn’t stop with recreation; it scales directly into enterprise operations. Take a tractor-trailer driver facing a winter storm: The single most valuable piece of information isn’t total accumulation, it’s when accumulation begins. Leaving 45 minutes earlier isn’t a disruption. Getting stuck on an icy highway is.

In each case — whether you’re saving a round of golf or protecting a multi-million dollar supply chain — the raw, highly-accurate data is the same. What changes is the context, the layer of intelligence that makes the data speak to your specific decision.

The road ahead

Dr. Murphy’s framework identified three dimensions of what makes a forecast “good”:

1. Consistency: Does it reflect the forecaster’s best judgment?
2. Quality: Does it correspond to what actually happened?
3. Value: Does it produce incremental benefit for the decision-maker?

Most of the industry has spent 30 years focused on the first two. We think the next era belongs to the third.

That means continuing to invest in AI and machine learning that improve hyperlocal weather precision and everyday forecast accuracy alike. It means building personalized weather forecast experiences that go beyond the generic daily summary. It means developing weather intelligence that meets businesses and consumers where they are – mid-run, mid-flight, mid-commute – with exactly the information they need to make a better call.

Whether you’re leading a business or training for a marathon, weather shapes outcomes. The goal has never been to give you more weather data. It’s been to help you make better decisions. That’s what separates a weather company from The Weather Company, and it’s what we’re building towards every day.

If you think cleaning is just a “Spring” thing, you’re considering only one small part of the real calendar. For savvy CPG cleaning brands, cleaning isn’t only a season – it’s a predictable consumer mindset triggered by the world outside. A sudden thunderstorm or a high-pollen Thursday are what can truly deliver the “why” behind a cleaning product purchase. (In fact, the connection between environment and intent serves as a fundamental blueprint for almost any CPG brand looking to drive growth.)

Parents are the kings and queens of clean

So, who’s most often looking for a streak-free view of the week ahead? The parents on our platforms.

A recent survey of The Weather Channel digital users underscores the massive weather influence on cleaning habits and who is leaning into these environmental cues. It turns out, parents are the undisputed cleaning champions. Compared to non-parents, they clean more frequently, both inside and outside the home – and two out of three parents are directly motivated to clean by the weather.¹

High-intent cleaning habits by the numbers

The data reveals a clear story of consistent, high-intent cleaning behavior:

Between the extra mess, the seasonal germs, and the constant hum of family activity, parents represent a highly engaged audience with a consistent, year-round demand for cleaning solutions.

The cadence of cleaning

While spring remains the undisputed peak for domestic renewal, parent cleaning habits follow a multi-seasonal rhythm. Brands specializing in indoor care should treat spring as their primary launchpad, but a closer look at the full year reveals a powerful secondary window in the autumn transitions.

Seasonal percentage of parents conducting major indoor cleaning:

Rather than limiting budgets to a single annual push, home care brands achieve maximum efficiency through a sustained, evergreen approach – capturing the massive surge of spring renewal, capitalizing on the fall reset, and leveraging real-time weather triggers during the quieter summer and winter maintenance blocks.

How weather influences cleaning behavior

It turns out a messy room isn’t the only thing driving people to grab a mop. Changes in the weather act as a massive psychological trigger for household chores, with two-thirds of parents admitting that the weather directly motivates their cleaning routines.⁸

Rain and oppressive heat are the primary catalysts for these sudden bursts of domestic productivity, forcing families indoors and fundamentally shifting their daily priorities.

Cleaning for health and pollen

When allergens spike or cold and flu season hits, cleaning habits ramp up, too. These moments underscore the direct link between weather impact, household priorities, and increased CPG spending.

Weather: The force multiplier for household intent

When you align your message with the forecast, you aren’t just reaching someone who buys detergent; you’re reaching them at the exact moment their environment has made cleaning a top priority.

We solve for predictable incremental performance by identifying the exact moments when consumers shift from “passive” to “planner.” Weather influence acts as a force multiplier on consumer activities because it shapes the subconscious decision-making process. Our neuroscience research proves that when an ad aligns with the current weather-driven mindset, ROI can increase by nearly 20%.¹¹

Proof of performance for CPG & cleaning brands

• Sales lift: 3.4x the CPG benchmark for major household brands¹²
• High-value actions: 44% higher DTC conversion rate via weather-driven signals¹³
• Attention score: 24% higher Attention Unit score via integrated creatives compared to industry benchmarks¹⁴

Seamless activation for cleaning brands and beyond

With data defined by world-class forecasting accuracy, we provide an AI-driven ecosystem that automates the connection between the sky and the shelf. For brand marketers and agency trading desks, we’ve removed the operational friction. You can easily activate high-intent audiences through:

• Weather Targeting intelligence: Leverage Weather Targeting to sync your brand with the moments that matter most. We combine real-time and historical forecast data with AI and trusted behavioral signals to reveal moments of true consumer intent. Access this intelligence through a single PMP Deal ID or Curated Performance Deal to turn environmental shifts into predictable incremental performance.
• The Weather Channel digital ecosystem: Own the high-traffic “planning hours” by taking over the brand-safe, Integrated Marquee of The Weather Channel app or sponsoring key planning moments aligned with your brand.

Making your media mix shine

Weather shapes more than just the daily forecast; it defines how weather and climate influence the way people live. It’s the difference between a product sitting on the shelf and one that’s going into the shopping cart. For CPG brands, the connection between weather and human activities is measurable, actionable, and – most importantly – predictable.

Don’t let your strategy gather dust. Use the weather to buy an outcome.

Whether you’re a weekend warrior or daily fitness fanatic, understanding how weather impacts your specific outdoor activities will make the difference between a perfect training session or a soggy disappointment. That’s why we’ve created activity forecasts: specialized weather insights designed for popular outdoor pursuits.

Custom forecasts for every adventure

Explore activity-specific local forecasts within The Weather Channel app.

Activity forecasts go beyond basic temperature and precipitation to provide conditions summaries, optimal timing windows, and activity-specific details that matter most to your performance.

How to access activity forecasts

Getting your personalized activity weather is simple:

1. Open The Weather Channel app
2. Scroll down the “Today” homepage
3. Tap on any listed activity to access detailed forecast information
4. Toggle between activities using the top navigation to compare conditions

For a more personalized experience, use the “Add an activity” feature to get the latest weather impacts for all of your outdoor activities.

You can also turn on alerts to get notified about severe weather or major changes that may impact your plans.

Available activity forecasts

Take mountain biking and cycling to the next level with The Weather Channel activity forecasts, exclusively in the app.

Running

Get the complete picture for your training runs with best and worst times over the next 24 hours. We highlight “feels like” temperatures for proper hydration planning, and detailed conditions, including precipitation, humidity levels, air quality, and UV index.

Cycling

Specialized for cyclists, including rain accumulation data that is crucial for understanding road conditions and puddle depth. Factor in wind speed, air quality, humidity and sunset times to help you choose the safest, most comfortable time to train.

Hiking

Discover hiking destinations and seasonal guides for national parks while getting the weather intelligence you need for safe adventures. You’ll get updated precipitation, thunderstorm potential, UV index, visibility, wind speed, humidity, and more.

Camping

Enhanced with stargazing forecasts and precise sunrise/sunset times to maximize those perfect outdoor moments.

Tennis & Pickleball

Get humidity readings with descriptive terms like “muggy” so you know exactly what to expect on the court, as well as precipitation, “feels like” temperatures, wind speed, UV index, and air quality.

Golf

The most comprehensive forecast includes 15-day ratings from “Poor” to “Perfect” golfing conditions, cloud cover analysis (important for shadows and visibility), and integration with Supreme Golf to find local courses with pricing and booking options.

Premium features that enhance your activities

• 15-minute forecast: Perfect for spontaneous pickup games, last-minute trail runs and rapid weather changes that affect outdoor plans
• Advanced map layers: Get detailed precipitation tracking, wind patterns and storm movement data
• 72-hour future radar: See exactly when weather will impact your location for precise activity timing
• 192-hour extended forecasts: Plan your entire week with confidence
• Morning Brief newsletter: The best news and weather content delivered to your inbox daily

Whether you’re training for competition, maintaining fitness routines or simply enjoying the great outdoors, our activity forecasts provide the specialized weather intelligence you need to make informed decisions and maximize every adventure.

Activity forecasts are available in The Weather Channel app. Premium features require subscription after the free trial period. Must have a registered weather.com account.

Weather affects nearly every decision people make – from planning a weekend trip to managing a complex operation. While most people have access to basic weather forecasts, there is a vast difference between a general forecast and the high-precision data required to support accurate, timely decision-making. At The Weather Company, we are constantly improving the technology behind our forecasts so that everyone – from individual users to large enterprises – can rely on the most accurate weather intelligence available.

We provide more than just a weather report. We provide a sophisticated technological ecosystem designed to reduce uncertainty. Through our GRAF system, our adoption of the JEDI framework, and our cloud-based resilience on AWS, we offer a level of accuracy and reliability that helps anyone turn weather challenges into confident decisions. Together, these innovations strengthen modern AI weather forecasting capabilities and smarter decision-making.

High-resolution forecasting with GRAF

At the heart of our capability is GRAF, which stands for the Global High-Resolution Atmospheric Forecasting system. To understand the value of GRAF, it helps to look at how weather models work. Most models divide the world into a grid of squares, and a computer calculates the weather for each square. If the squares are too large, the model misses small but important details like a thunderstorm hitting a specific neighborhood, a wind gust affecting a local power grid, or rain arriving earlier than expected on a travel day.

Most models use a square grid of fixed size. GRAF uses a variable resolution grid and provides higher resolution over populated areas.

While many global models use large grid squares (often 10 to 15 kilometers wide), GRAF provides much higher detail where it matters most. It features 4-kilometer refinement regions over the Continental United States and Europe. This means the model provides a much sharper look at weather patterns in these key economic zones, while maintaining a coarser, efficient resolution across the rest of the globe. The result is more precise numerical weather prediction in regions where decisions – personal and professional alike – often carry the greatest impact.

Depiction of 4-km refinement regions over Europe and Continental United States.

The JEDI framework and AI integration

A weather model is only as good as the information you feed into it. In the world of meteorology, the process of feeding real-world data into a computer model is called Data Assimilation (DA).

Understanding data assimilation

Think of data assimilation as a “reality check” for the computer. Every hour, millions of data points arrive from satellites, weather stations, airplanes, and sensors. However, this data is often messy or arrives at different times. Data assimilation takes all these scattered pieces of information and blends them into a single, accurate picture of what the atmosphere looks like right now.

The JEDI framework

To make our data assimilation as powerful as possible, we have adopted a framework called JEDI (Joint Effort for Data assimilation Integration). JEDI acts as a universal adapter for weather data. It allows us to incorporate new types of observational data much faster than traditional systems to improve overall weather forecast reliability and accuracy. These data include but are not limited to: satellite radiances, aircraft observations, radiosondes, and pressure sensor readings from smartphone users (with consent).

Our transition to this technology has moved through several key phases:

• Initial phase: We replaced our older data systems with the JEDI framework, which immediately improved our ability to process complex information.
• Next phase: We began “fully cycling” the system. JEDI now works in a continuous loop, constantly updating the model with fresh data throughout the day.
• Following phase: We implemented new surface assimilation algorithms. This update allows the system to better represent ground-level conditions that affect everyday forecasts.

GRAF AI applications

One of the most significant benefits of the JEDI framework is that it drives GRAF AI applications. These applications have been trained on years of historical weather data to recognize patterns and make fast predictions. Because JEDI provides such a clean and accurate starting point, these AI tools produce even more reliable insights and further advance AI weather forecasting capabilities.

Future advancements in data assimilation

We are constantly working to stay ahead of the curve. A major part of this work involves the development of Ensemble-Based Systems in collaboration with the National Center for Atmospheric Research (NCAR). Instead of running just one forecast, an ensemble system runs many versions at once. This approach is similar to a global ensemble forecast system, helping anyone plan more effectively by providing a probability of an event occurring.

Reliability when it matters most

Accurate weather data is only valuable if it is available when you need it most. Severe weather events are precisely when forecast access matters – and precisely when systems are under the greatest strain. To address this, we have ported our GRAF framework to Amazon Web Services (AWS) architecture, creating a robust disaster recovery solution that keeps our data flowing regardless of conditions.

While most weather models run on specialized physical supercomputers, these systems can be vulnerable to outages. By running on AWS, we have built a highly resilient, always-on architecture that supports our weather recovery solutions and keeps data accessible without interruption – whether you are an individual checking conditions ahead of a trip or an operation depending on continuous forecast feeds during a high-impact event.

A cloud-native future

We are migrating our entire GRAF production environment to AWS. This move offers two major benefits:

• Reliability through redundancy: Built-in redundancy strengthens weather forecast reliability by allowing another part of the system to take over instantly if an issue occurs.
• Scalability: We can increase computing power instantly during massive events, ensuring your GRAF data is delivered on time.

Translating weather intelligence into confident decisions

Whether you are optimizing a global supply chain or simply planning a weekend family outing, the quality of your weather data directly impacts the quality of your choices. An unexpected storm or an unpredicted shift in wind can disrupt a major logistics network just as easily as it can ruin a long-planned trip.

By combining high-resolution numerical weather prediction through the GRAF weather model, cutting-edge AI weather forecasting, and robust cloud architecture, The Weather Company provides everyone with access to a higher standard of weather forecasting accuracy. As we continue to advance our data assimilation capabilities and build toward a cloud-native future, our goal remains clear: to maximize weather forecast reliability so you can navigate changing conditions with total confidence.

The problem: Raw data is a scattered puzzle

Think of raw weather radar like listening to a hundred different people speaking different languages at the same time. It is loud, it is confusing, and it is full of mixed messages. Weather radar data is obtained in varying ways across different areas. The quality, type, and format of the information you receive depend entirely on where you look. Creating a reliable weather experience starts with effective radar data processing.

First, radar data varies heavily depending on the specific radar site location. A radar stationed on a flat plain operates differently than a radar positioned near a coastal mountain range. Second, we have to account for the frequency of radar scan strategies. Some radar stations complete a full scan of the sky every two minutes. Other stations might take ten minutes to complete a single rotation. If you try to view these different scans at the same time, you get a distorted picture of reality. Achieving consistent global weather radar coverage requires synchronizing these differences into a unified view.

The challenge of false returns and ground clutter

Beyond the timing and location, we face the physical limitations of the radar itself. Single-site radar data frequently struggles with ground clutter and anomalous propagation radar effects. These are technical terms for false returns. Radar beams do not just bounce off raindrops. They bounce off tall office buildings. They bounce off mountain peaks. They even bounce off large flocks of birds and swarms of insects.

These biological and physical false returns create massive amounts of visual noise. To a raw radar system, a flock of migrating birds can look exactly like a heavy thunderstorm. We quality control these false returns so that an end user is only shown radar data that is actual precipitation.

Finally, we face the challenge of overlapping coverage. Storms do not care about state lines or radar boundaries. Often, a single storm system is tracked by multiple radar sites at the same time. Meteorological decisions need to occur when radar sites overlap in their coverage so that one final answer of precipitation is available to users. If two radars tell two different stories about the same storm, decision-makers are left guessing.

The agitation: Bad data drives costly mistakes

Let us look closely at what happens if we skip the cleanup process. If we did not perform the needed preparations to collect and combine the single sites into one mosaic, it could leave you with wildly inconsistent information between radar locations.

Bad data leads to bad decisions – for anyone relying on a forecast. Imagine a logistics manager rerouting an entire fleet because a massive storm cell appeared over a distribution hub, or a family canceling a long-planned outdoor event. In both cases, the sky was perfectly clear. The “storm” was anomalous propagation – a radar beam bouncing off a building. The cost is real either way: wasted resources, frustrated people, and eroded trust in the tools they depend on. When a real storm finally approaches, that hesitation becomes risky.

You cannot make confident decisions – personal or professional – when you’re constantly reacting to ghosts on a screen. False alarms cost money. Unnecessary delays frustrate everyone affected. Over time, reacting to bad data erodes trust in the forecasts people rely on. When a real storm finally does approach, your team might ignore the warning because they have been burned by false returns in the past. This hesitation puts people and their plans at genuine risk.

The solution: A unified and clean global view

This is where my team steps in, and it is the part of my job that I love the most. The Weather Company eliminates the guesswork. We do the heavy lifting so you can focus on what matters – whether that’s running a business or just making plans.

Our process starts with massive scale. The Weather Company collects data from around the globe, including more than 300 single-site radar locations. We gather data from across continents to build the foundation of our radar system. In addition to these single-site locations, we actively collect regional mosaics in areas that already have a combination of their regional radars. We pull all of these disparate data feeds into one centralized hub, creating a foundation for accurate real-time precipitation data and operational weather intelligence.

Collection is only the first step. The Weather Company performs Quality Control algorithms on these datasets to identify and remove false radar returns. We scrub the data clean. Our algorithms are specifically trained to recognize the distinct signatures of non-weather objects. We remove the buildings. We take out the mountains. We strip away the ground clutter and eliminate the false biological returns which are picked up on radar scans

To give you a clear perspective on how critical this process is, look at the two images below.

Raw, unedited radar data. Notice the scattered, chaotic returns near the center of the image. Quality Control is being done to identify these false biological and physical returns before they reach the user.

The same region after our Quality Control algorithms have cleaned the dataset. The false returns and ground clutter have been successfully removed, leaving only verified precipitation.

Synchronizing datasets into a seamless mosaic

Once the data is scrubbed clean of false returns, we solve the problem of overlapping radar sites. The Weather Company uses an advanced process to synchronize these individual datasets. We take the different scan frequencies and the varying location data, and we weave them together seamlessly. We produce a Global Radar Mosaic product representing an accurate picture of current precipitation, and delivering dependable real-time rainfall data worldwide.

The human element: 24/7 expert meteorological review

Even the most advanced technology requires a human touch. Think of our algorithms as the heavy machinery clearing the main road, and our meteorologists as the specialized crew polishing the final surface. After all of the automated quality control algorithms are run, our team of meteorologists at The Weather Company constantly looks over the radar mosaic. They monitor the feeds 24/7/365 to manually identify and remove any false radar returns that slipped through the automation. This final layer of expert review is completely seamless and timely, delivering a pristine, reliable product without sacrificing the critical reaction speed every forecast demands.

Whether you need a weather data API integrated into enterprise software or simply a forecast you can trust on your phone, this clean data works for you.

This Global Radar Mosaic powers smarter decisions for businesses and individuals alike. When you look at our mosaic, you are not looking at raw noise. You are not looking at mountains or birds. You are looking at a rigorously tested, quality-controlled, and synchronized view of the atmosphere.

You get one final answer. You get the truth.

Filling the gaps: A truly global picture

We recognize that physical radar infrastructure is limited or nonexistent in certain parts of the world, specifically over open oceans and in developing nations. To combat this and maintain continuous global coverage, we continuously work on projects that utilize alternative sources of precipitation observation. We actively fill these geographical gaps using satellite imagery, global lightning networks, and data-assimilated numerical weather prediction models. This multi-layered approach guarantees you have reliable weather intelligence even in areas outside of traditional radar range.

A highlight of our Global Radar Mosaic. By synchronizing hundreds of cleaned data feeds and applying strict human review, we provide one accurate, worldwide view of active weather.

From real-time observation to short-term forecasting

Securing an accurate picture of current precipitation is only the beginning. Once we have this clean, verified representation of what is happening right now globally, it becomes the foundation for the future state. We use this pristine data to enable advanced decision-making products, such as highly accurate short-term weather forecasting, automated precipitation alerting, and weather intelligence derived from advanced numerical forecast models. This shifts anyone – from enterprise operators to everyday users – from simply knowing where a storm is, to understanding how the latest numerical weather forecast may affect their plans in the hours ahead.

Weather affects everyone, every day. Let us help you turn atmospheric uncertainty into confident decisions.

While marketing calendars often treat summer like a three-month streak of sunshine, the weather rarely follows a schedule. One day the pavement is shimmering in a triple-digit heatwave; the next, a sudden thunderstorm sends everyone running for cover. This constant shift isn’t just a change in the forecast — it’s a change in the consumer’s brain. To drive a 10%+ boost in campaign ROI,¹ marketers should stop planning for the summer marketing calendar and start planning for real-time changes.

Neuroscience proves that weather changes consumer mindsets and decision-making in predictable ways. To win the summer, your seasonal marketing strategy must be as adaptive as the weather itself.

One season, four mindsets

The human brain is wired to respond to environmental shifts. This means summer isn’t just one long vibe — it’s a fluid mix of predictable psychological states that influence consumer decision-making and purchases. Understanding these four distinct weather-driven mindsets allows your strategy to move past broad seasonal generalizations and reach consumers exactly where they are emotionally and mentally:

1. The Creating Mindset: Lean into the fresh start

• The weather: Perfect summer days, the arrival of true summer temperatures or the moment a grueling heatwave finally breaks.
• The behavior: This shift sparks a surge of energy and spontaneity. People are ready to swap routines, try new health and wellness habits, make impulse purchases, and explore different food and beverage choices.
• The strategy: Anticipate the surge. This is the prime window for product launches and conquesting.
• The creative: Use an optimistic, energetic palette with messaging focused on “newness” and “refreshment.”

2. The Relishing Mindset: Position products as rewards

• The weather: Those mild summer days with clear to partly-cloudy skies
• The behavior: Consumers are in a leisurely, indulgent mood. They view products and activities as a way to truly savor the beautiful weather.
• The strategy: Align your brand as the complement to a perfect day with creative summer advertising.
• The creative: Go bold and disruptive to capture the attention of a happy, relaxed audience focused on self-care and treats.

3. The Cocooning Mindset: Focus on ease and familiarity

• The weather: Oppressive heatwaves where high humidity makes it hard to move, let alone make complex decisions.
• The behavior: Lethargy sets in. People seek the path of least resistance and turn to the brands and products they already know and trust.
• The strategy: Emphasize simplicity and loyalty programs. Highlight how your brand rewards them or makes their life easier.
• The creative: Keep it light-hearted, funny, and very easy to digest—don’t make a tired brain work too hard.

4. The Enduring Mindset: Lead with empathy

• The weather: Inclement weather scenarios like severe thunderstorms, flooding, or wildfire smoke.
• The behavior: Anxiety rises as people shift into preparation mode — securing their homes and checking on family.
• The strategy: Problem-solve and provide comfort. This is the time for empathetic marketing that offers genuine utility.
• The creative: Use calming, reassuring visuals that establish your brand as a helpful partner.

The four weather-driven mindsets driving consumer decision making and how to make your brand resonate.

Pivot as quickly as the weather with Weather Targeting

Marketing success requires a strategy that thinks beyond seasonal norms to match the speed of the atmosphere. Weather Targeting is a must-have, “always-on” solution that automates your brand’s relevance.

By combining real-time, forecast, and historical data with AI, we help align your advertising with the exact conditions that drive action. Weather Targeting  integrates seamlessly into your existing marketing stack, allowing you to bridge the gap between your message and the consumer’s mindset.

Own the daily summer routine with Integrated Marquee

Capitalizing on consumer mindsets requires more than just reaching an audience — it requires capturing their undivided attention. Our Integrated Marquee is a premium, native solution that transforms a routine utility check into a high-visibility brand moment for your summer marketing campaign.

Integrated Marquee creative for Jeep in The Weather Channel app.

By embedding your message directly within our most engaging content, your creative acts as a natural extension of the daily user experience. This solution drives deeper engagement by meeting consumers exactly where they are actively planning their day, maximizing your ROI and bringing your most creative summer marketing ideas to life when it matters most.

The always-on edge

While most brands remain tethered to a rigid calendar, those leveraging weather insights gain a definitive competitive edge year round. Mastering the mindset — not just the date — is how you move beyond seasonal guesswork to drive lasting results.

Ready to see how the other seasons stack up? Explore our guides on the Spring, Fall, and Winter mindsets.

What do trail hikers, gardeners, sports enthusiasts and even car lovers all have in common? The weather can be a disrupter of even the best laid plans. That’s where we come in.

Weather Labs is our experimental playground where we explore how weather technology can be used to solve everyday problems. From determining the perfect car wash day to planning a hiking or ski adventure, we’re focused on building innovative tools that make weather work for you.

Getting started

All Weather Labs features are available to registered weather.com users. It’s so easy!

1. Create a free account (or log into your existing one): https://weather.com/signup
2. Explore Weather Labs here: https://labs.weather.com/

Featured experiment: The car wash meter

One of our most popular Labs features helps answer a surprisingly complex question: “When should I wash my car?”

The Weather Labs Car Wash Meter evaluates the next 15 days based on weather conditions and ranking criteria.

How it works

The Car Wash Meter analyzes multiple weather factors to create a daily score, providing clear recommendations from “Perfect” to “Skip” washing conditions. Simply input your location to view today’s recommendation with detailed explanation, plus a 15-day forecast with rankings to help you plan ahead for optimal conditions.

What the system considers

• Temperature: Optimal range of 60-75°F prevents soap from drying too quickly or water spots
• Precipitation forecast: Enhanced 7-day outlook with weighted importance (rain today matters more than rain next week)
• Recent weather: Penalties for wet/slushy roads, but urgency factors for removing corrosive road salt
• Environmental factors: Wind conditions, pollen levels, cloud cover and humidity

More Weather Labs experiments

Okay, if you’re one of our northern or international friends, perhaps you don’t have much need for a Car Wash meter. But you might just have a real need for outdoor tools, vacation planning, wildfire safety, allergy tips and more. That’s where our ongoing Weather Labs experiments come into play.

Outdoor and recreation

Explore tools for:

• Hiking (Trail Day Planner)
• Gardening (Home & Garden Planting Guidance)
• Skiing (Snow Labs, Ski Resort Precipitation Types)
• Golf (Golf Weather)
• Sports venues (MLB Stadium Weather)

Travel and planning

Access specialized insights:

• Frequent fliers (Airport Intelligence)
• Long-term patterns (Historical Climate Data)
• Vacation planning (Best Time to Visit)

Interactive and specialized

Play interactive games and access important safety and historical weather information with more experimental tools from Weather Labs.

Test your reaction skills with weather games like Weather Runner, while staying informed with Wildfire Trackers and Historical Pollen Observations.

The science behind the innovation

Weather Labs experiments combine machine learning breakthroughs with practical applications. Each tool uses comprehensive data analysis to provide actionable insights for your decisions, incorporating everything from professional research to specialized (and meteorologist-approved) environmental factors.

Join the experiment

Weather Labs represents the future of weather technology, including tools that understand weather affects far more than whether you need to pack an umbrella. These innovations are designed to help you make smarter decisions about everything from vehicle maintenance to outdoor adventures.

Visit weather.com and log into your account to access Weather Labs and start experimenting with the future of weather technology.

Local television stations are facing a challenge as young adults change how they consume news. According to Northeastern University’s local TV news research by SmithGeiger, 91% of young adults aged 18 to 34 consume some news media every week.

But it’s not TV.

Social media platforms such as YouTube, Instagram, TikTok, and Facebook are the preferred social media news sources for this important group of consumers. Toward the bottom of the list is the live local newscast, which ‌most television stations consider their bread and butter.

(Source) Reinvent: A Survival Guide for Local TV News

Not surprisingly, among the content craved by these young adults are updates on the weather. Yes, the reason people watch local TV news is also the reason people follow local news on social media.

This preference is reflected in the consistent growth and engagement many broadcast meteorologists are experiencing on Instagram and TikTok. Their achievements provide a clear roadmap for local television weather departments seeking to build stronger connections with their audience through social media and broadcasting.

Case studies

Production simplicity is key

Vertical videos posted on social media broadcast don’t need to be extravagant or complicated. Meteorologist Trevor Gibbs, from WJAX in Jacksonville, FL, pulls a producer in from the newsroom to hold the camera while he delivers a short weather update in front of the video wall in the studio. Gibbs edits the videos using TikTok and reposts them on Instagram. Simple, yet effective.

Meteorologist Lee Goldberg from WABC in New York City, also relies on a producer to help him record his daily signature Quickcasts, which often feature weather content maps superimposed over his camera video.

The ultimate win in social media is to create something that goes viral. Sometimes, the simplest videos are the ones that generate the highest engagement. An update produced by meteorologist Joseph Martinez from WZDC, showing snow falling in Washington, D.C. generated almost a million views.

Content strategy and authenticity

According to the study, 60% of young adults said they want to watch behind-the-scenes videos where reporters (or, in this case, broadcast meteorologists) share background information. That may be why meteorologist Stevie Stevenson from KCTV in Kansas City, Missouri, is seeing growth on her social media platforms. Many of her vertical videos feel personal and authentic, recorded right there in the Weather Center.

Not all social media posts produced by broadcast meteorologists need to be serious. Kim Castro from KHOU in Houston, Texas, blends personal videos with weather updates. Castro also seeks to serve all viewers in the Houston area during disruptive weather events, delivering updated information in both English and Spanish.

Technical solutions for vertical videos

One challenge facing broadcast meteorologists is converting horizontal 16:9 graphics into the vertical 9:16 format preferred on social media. To accommodate this format, meteorologist Jordan Evans from WJLA in Washington, D.C., creates special graphics that are specifically designed for Instagram and TikTok.

Testing conducted for the study found that 50 seconds, plus or minus 10 seconds, is the ideal length for social media videos. That’s how long most of the personally branded videos are produced by meteorologist Shane Hinton from WFOR in Miami, FL.

Most broadcast meteorologists edit their vertical videos using software available from Instagram and TikTok.  However, meteorologist Drew Davis from KHNL in Honolulu, Hawaii, uses commercial-grade editing software such as Adobe Premiere, DaVinci Resolve, and Final Cut Pro. Davis says these videos are easier to produce than they look, thanks to templates that he has created for his digital weather updates.

The ultimate payoff: Survival for local TV news

Vertical video weather updates generate thousands, and often hundreds of thousands, of views.  These numbers validate the central message of the Northeastern University study, aptly named “A Survival Guide for Local TV News.” Researchers urge news managers to pivot and empower reporters, news anchors, producers, and broadcast meteorologists to create more engaging social media weather content.

Building a loyal following online is an excellent way to establish trust. However, the ultimate goal of this broadcast guide is to leverage these digital connections and bring consumers back to the station’s website, mobile app, and live newscasts. That’s how we survive.

Tim Heller is an AMS Certified Broadcast Meteorologist and Weather Communications Coach. He helps local TV stations and broadcast meteorologists communicate more effectively and work more efficiently. Contact Tim through this website: www.hellerweather.com.

Proactive protection through weather intelligence

Imagine being able to warn your policyholders before damage occurs – not after. Weather Agent for Indices & Triggers, The Weather Company’s premier weather intelligence platform, provides insurance companies with a high-fidelity weather data feed and timely insights. The system offers insurers custom weather indices and triggers to monitor real-time and forecasted weather conditions 24/7. By combining continuous weather monitoring with predictive weather analytics, insurers can transform their customer relationship from reactive claim processing to proactive asset protection. When weather risk data indicates a threat to homes, vehicles, businesses, or other property, insurers can then send notifications to policyholders precisely when they need them most.

Benefits to policyholders: safety and security

When you leverage a weather intelligence platform, you offer more than just a policy; you provide a shield. By using predictive weather analytics to reach out before hazardous weather, you offer:

Increased trust and loyalty

Alerting clients to approaching severe weather demonstrates that their safety matters. This proactive care builds deep emotional trust. In an industry often seen as transactional, this transforms you into a trusted partner who’s genuinely looking out for their best interests.

Asset protection

Early warnings give clients precious time to act – securing outdoor furniture , moving vehicles to covered areas, preparing properties for flooding, or taking measures to prevent frozen pipes. These simple actions, enabled by timely notifications, can prevent thousands of dollars in damage.

Enhanced safety

Beyond property protection, weather monitoring can help save lives. Timely weather emergency warnings about tornadoes, severe thunderstorms, floods, extreme heat, or dangerous winter weather allow families to seek shelter, adjust plans, or take health precautions.

Reduced stress

Insurance anxiety is real. Knowing you offer an early weather warning system monitoring conditions 24/7 provides immense peace of mind, especially when away from home.

Benefits to your insurance company: smarter business

Using weather data analytics isn’t just about information; it’s about transformation. By integrating advanced weather analytics into your workflow, your company gains a competitive edge:

Increased client satisfaction and retention

Policyholders who receive proactive protection feel valued beyond their premium payments. This emotional connection can lead to an increase in satisfaction scores, brand reputation, and policy renewal rates. Clients simply don’t leave insurers who actively protect them.

Reduced insurance claims

This is the transformative financial impact of predictive weather analytics: claims prevention at scale. When thousands of policyholders take protective action, aggregate claim volume drops. Even a 5-10% reduction in weather-related claims can translate to millions in savings annually.

Improved loss ratios

Lower claims frequency directly improves your loss ratio, enhancing profitability and competitive positioning. Better loss ratios create flexibility for premium adjustments, market expansion, and improved shareholder returns.

Differentiation in a commoditized market

Proactive weather protection is a tangible value-add that prospects can understand and appreciate. This becomes a powerful acquisition tool and justifies premium positioning.

Data-driven weather risk management

Our weather monitoring system generates valuable intelligence about which weather conditions trigger the most protective actions and which result in fewer claims. This weather risk data informs underwriting models and geographic exposure management.

Recommended weather triggers for asset protection

Based on analysis of our trigger catalog and broader weather data analytics, here are the most relevant weather conditions supporting insurance notification campaigns:

Severe Weather-Based Triggers (Immediate Action Required)

Note that the above severe weather alerts are NOT meant to be used for public safety.

Preventable Damage Condition Triggers (Preparation Window)

High-value asset protection triggers

Seasonal property maintenance reminder triggers

Custom weather triggers: AI-powered solutions

While our catalog contains hundreds of pre-built triggers — each built on a specific weather index — we can also create custom triggers for your unique risk profile in days, not weeks, with AI.

Example: Extended freeze and frozen pipe risk

The challenge: Frozen pipes are among the most expensive and preventable claims in homeowners insurance, averaging $5,000-$10,000 per incident. Standard “below freezing” alerts aren’t sufficient because pipes typically freeze during extended periods of cold, especially overnight lows combined with daytime temperatures that don’t allow thawing.

Custom trigger solution: “Extended freeze – pipe burst risk”

This custom trigger activates when multiple conditions align:

• Overnight low below 20°F for 2+ consecutive nights
• Daytime highs remain below 32°F (no thaw period)
• Wind chill factors indicating increased exposure

Preventive notification to policyholders: Send a notification 24 hours before the extended freeze period begins, with a follow-up reminder the evening before the coldest night.

With this level of predictive weather analytics, you provide value that a standard weather app simply cannot match.

Sample visualization from Weather Agent for Indices & Triggers showing the areas to monitor based on the custom trigger criteria.

Additional custom trigger examples for insurance

“Roof ice dam formation risk”

• Combines snow depth and temperature cycling (freeze-thaw)
• Triggers preventive notifications about clearing snow from roof edges

“Basement flooding risk index”

• Integrates soil saturation levels, forecast rainfall, and historical flooding in the area
• Weather-focused on rainfall intensity, duration, and soil conditions

“Wildfire ember zone alert”

• Monitors wind speed, direction, humidity, and active fire locations
• Focuses on weather variables like wind shifts and extreme dryness

“Heat-related property damage”

• Extended periods above 95°F that stress HVAC systems and building materials
• Alerts about checking AC function, protecting landscaping, and monitoring vulnerable structures.

Getting started: Three simple steps

1. Integration

Our API integrates with your existing CRM and communication platforms. Standard implementation: 1-3 weeks. We provide technical support throughout.

2. Trigger selection

We’ll work with your claims and risk teams to identify which weather triggers align with your highest-cost claim types and geography-specific risks.

3. Messaging & deployment

We’ll help craft clear, action-oriented notification messages. Pilot with a segment of policyholders, measure results, then scale.

Transform insurance from reactive to proactive

The insurance industry is evolving from simply paying for losses to actively preventing them. By implementing a weather intelligence platform, your company can protect policyholder assets before damage occurs, reducing claims costs through prevention at scale. This shift not only improves your loss ratios but also differentiates your brand as an innovative, client-focused partner.

With Weather Agent for Indices & Triggers and an extensive data library, you gain a competitive advantage through:

• Unmatched accuracy: Proven weather risk data from The Weather Company.
• Rapid customization: Custom AI-driven triggers built on a specific weather index in days, not weeks.
• Seamless scalability: Real-time weather monitoring that scales from local pilots to enterprise-wide deployment.

Your path to proactive risk management

1. Schedule a demonstration: Explore our trigger catalog and visualize historical trigger patterns across your markets. Discuss custom trigger development tailored to your unique risks – built with AI in days, not weeks.
2. Launch a targeted pilot: Select a high-risk geographic region to test messaging, measure impact, and build your business case..
3. Scale across your portfolio: Once ROI is validated, expand to additional regions and weather scenarios. Leverage proven messaging and trigger configurations to accelerate deployment across your entire policyholder base.

Contact us today to integrate the industry’s leading weather monitoring system and start protecting what matters most: your clients and your bottom line.