In the insurance world, the “once-in-a-century” storm has become a yearly occurrence. Global insured losses reached $127 billion in 2025,¹ marking the sixth consecutive year that payouts exceeded the $100 billion threshold.²

Perhaps more striking is the frequency of these events. Last year saw 30 separate disasters causing over $1 billion in insured losses each³ — far exceeding the historical average of 17. Traditional risk models built on broad geographic averages are no longer sufficient to address this rising volatility.

Recently, The Weather Company experts Matt McCrary (Insurance Sales Lead) and Matthew Porcelli (Solutions Engineer) discussed this fundamental shift with Insurance Thought Leadership. Their core insight? The industry is reaching an inflection point where hyperlocal weather data must become a dynamic, strategic asset.

What is hyperlocal weather data in insurance?

Hyperlocal weather data in insurance refers to high-resolution atmospheric insights mapped to specific GPS coordinates (often down to a 500-meter to 1-kilometer grid) rather than broad ZIP codes. For insurers, this enables property-level risk assessments for specific perils like hail, wind, and wildfire.

Solving the “over-the-wall” data problem

For years, the primary challenge for carriers hasn’t been a lack of data, but a lack of clarity. Many insurers receive raw weather streams that are difficult to integrate into existing underwriting or claims workflows.

As Porcelli and McCrary highlighted, carriers must bridge the gap between meteorological science and operational strategy. By integrating high-resolution, timestamped data from lightning sensors, radar, and LiDAR, insurers can move from broad regional assumptions to surgical business decisions.

Turning uncertainty into measurable risk via probabilistic forecasting

A major takeaway from our recent discussion is the power of probabilistic forecasting. Unlike a standard deterministic forecast that predicts a general “chance of weather,” a probabilistic model quantifies the likelihood of specific outcomes — such as the exact probability of 2-inch hail hitting a specific cluster of assets.

This level of precision enables:

• Tailored underwriting: Pricing risk based on the true exposure of a specific home or commercial building.
• Claims volume prediction: Anticipating the “First notice of loss” (FNOL) surge before the storm even clears the area.
• Fraud detection: Utilizing forensic meteorology to verify if the weather conditions reported in a claim actually occurred at that specific timestamp and location.

The growth of parametric insurance and “ground truth”

The shift toward hyperlocal data is fueling the rapid growth of parametric (event-based) insurance. Unlike traditional policies that require physical damage inspections, parametric products are triggered by measurable thresholds — such as wind speeds exceeding a specific limit or rainfall totals.

This model offers three distinct advantages:

1. Accelerated payouts: Provides liquidity to policyholders in hours or days, not weeks.
2. Reduced loss adjustment expenses (LAE): Minimizes the need for on-the-ground adjusters for every event.
3. Objective verification: Success depends on “ground truth”—verifiable data from mesonets, satellite, and synthetic aperture radar.

Powering the next generation of weather-resilient insurance

At The Weather Company, we don’t just observe the weather; we provide the programmatic infrastructure that allows insurers to operationalize it. Our suite of weather data APIs and intelligence platforms is designed to integrate seamlessly into existing core systems, from underwriting engines to claims management dashboards.

Our key offerings for the property and casualty sector include:

• Standard and enhanced weather APIs: Access real-time, historical, and forecast data for over 2 billion locations globally. Our APIs deliver 15-minute hyperlocal updates, allowing for precise “nowcasting” of severe events.
• Historical weather data and forensic services: Validate claims with 10+ years of archived atmospheric data. Our forensic tools provide the “ground truth” evidence needed to confirm hail size, wind gusts, and lightning strikes at exact GPS coordinates, helping reduce exposure to fraudulent claims.
• Probabilistic forecasting suite: Move beyond binary “rain or shine” forecasts. Our AI-driven ensemble modeling quantifies the likelihood of specific risk thresholds, providing the data confidence required to trigger parametric insurance payouts automatically.
• Weather alerts and notifications: Enhance policyholder loyalty by delivering targeted, automated alerts. By notifying customers to move assets before a storm hits, you can actively reduce claim frequency while improving your Net Promoter Score (NPS).

Through industry-leading accuracy and enterprise-grade reliability (99.95% uptime), we help carriers turn atmospheric uncertainty into a measurable competitive advantage.

Moving toward climate resilience

The convergence of AI, machine learning, and hyperlocal data is turning insurers into partners in safety. By sending proactive alerts — advising a policyholder to move a vehicle before a hail cell arrives — carriers are preventing claims before they happen.

As we navigate an increasingly volatile climate, the carriers that thrive will be those that treat weather intelligence as the backbone of their resilience strategy.

A single misplaced ad can cost your brand more than just money – it can seriously erode consumer trust. In fact, 71% of consumers believe the content surrounding a brand’s ad is a reflection of its values.¹ That’s where The Weather Company’s digital properties, like The Weather Channel app and weather.com, stand apart.

Powered by the world’s most accurate forecast data,⁴ The Weather Channel digital ecosystem helps people live safer, smarter, healthier lives. That same purpose drives how we support brands. Through trusted, science-based insights and contextual precision, we create an environment that empowers both people and advertisers to make a meaningful impact, grounded in brand safety in advertising.

A must-have for millions = a must-have for marketers

We power over 25 billion personalized forecasts daily⁸ across 2.2 billion locations around the globe.⁹ As a result, our digital ecosystem attracts one of the largest weather audiences worldwide, but the real story is the depth of engagement. Our users spend quality time with our content, return daily, and almost 90% opt in to share their location data with us.¹⁰

Why The Weather Channel is brand safe

Science-first approach to content

Weather is uniquely safe because it’s rooted in science-based facts, not opinions. For decades, The Weather Channel has taken a science-first approach to everything we do. Our forecasts are built on real-time data from over 100 global models, powered by proprietary systems like GRAF^TMand our AI-optimized multi-model ensemble, WxMix. A rigorous process, augmented by expert meteorologists, allows us to create forecasts on demand tailored to specific locations and moments.

Privacy-forward

Our platform respects user privacy while maintaining the contextual relevance that drives performance. Premium Experiences are delivered based on real-time weather conditions through Weather Targeting, not intrusive tracking. This means marketers can align campaigns with the weather, not controversial or risky user-generated content. You can reach your audience in ways that feel timely, relevant, and genuinely useful.

Proven accuracy, transparent results

The Weather Channel’s forecasts are built on proof, not promises. Through Human-over-the-Loop (HOTL) intelligence and our proprietary Forecasts on Demand (FOD) engine, we combine human expertise with advanced AI to deliver hundreds of thousands of personalized, real-time updates every second – forecasts grounded in science and transparency.

Collaboration and innovation

Our partnerships with organizations like the National Center for Atmospheric Research (NCAR) and technology leaders such as NVIDIA drive the future of AI forecasting and visualization. By sharing methodologies and advancing scientific understanding, we build the openness and trust that define our brand and the safe, reliable environment advertisers value.

Advertising safety by design

Brand safety at The Weather Channel doesn’t stop with our content. It guides how we review, manage, and deliver advertising across our digital ecosystem. In doing so, we support ad compliance and responsible advertising aligned with industry standards, such as those of the Global Alliance for Responsible Media (GARM). With straightforward policies, trusted verification partners, and contextual intelligence powered by weather, we help your campaigns run confidently and safely.

Strict client-facing ad guidelines

Our Advertising Content Policies outline which ad categories are allowed, restricted, or prohibited across our platform. These rules protect both users and advertisers by keeping out high-risk categories such as violence, adult content, political advocacy, and misinformation. Sensitive categories – such as alcohol, financial services, or certain health-related messages – follow extra requirements and review so campaigns run safely and appropriately. Additionally, our Global Blocklist helps make sure your ads never appear next to content that could undermine brand trust

These exclusions apply universally across inventory to maintain a consistently safe environment.

Global Blocklist protections

Our Global Blocklist prevents ads from appearing alongside sensitive or unsafe content categories. The blocklist includes categories such as:

• Violence and weapons
• Politics and polarizing topics
• Adult or sexual content
• Misinformation and sensationalism
• Certain health claims
• Gambling, drugs, and other sensitive verticals

These rules are enforced across all placements to safeguard brand environments and user experiences.

IAS & DoubleVerify inventory filtering

We also work with Integral Ad Science (IAS) and DoubleVerify to add an independent layer of protection. These partners help review and classify our inventory in real time, giving advertisers more control over the sensitivity and risk levels their campaigns run against. It’s an extra level of transparency and confidence built right into the platform.

Contextual relevance without intrusion

We use real-time weather conditions – not personal identifiers or behavioral tracking – to make ads more relevant. Weather Targeting, a data privacy-forward messaging approach, reaches people based on mindset and moment, like getting ready for rain, heat, or seasonal shifts, without relying on intrusive data. It’s a simple way to deliver timely messages while preserving the trust users place in our platform.

The power of trust in brand-safe advertising campaigns

When campaigns appear in high-trust environments, they naturally see stronger engagement and deeper consumer connections. Studies show that advertising and trust are closely linked to consumer behavior:

By placing your ad on our platform, you’ll be present during critical decision-making moments entrusted to us – from deciding what to wear, where to go, or what to buy.

Marketers are also recognizing that same connection between trust and performance. Recent research highlights how it shapes media investment decisions:

• 96% of marketers evaluate a platform’s safety and data practices before investing in ads²²
• 78% say trust is now a true competitive advantage²³
• 60% let a platform’s core values guide where they spend²⁴

Trust is the new ROI, the defining metric for long-term brand growth.

Take the brand safe route to high-performing campaigns

Today’s advertisers need more than reach. They need the right balance of safety, performance, and trust at scale. With a foundation rooted in science, a commitment to user trust, and a proven ability to deliver opportunities in advertising that are both relevant and effective, The Weather Channel advertising solutions provide an environment where brands can grow with confidence.

Try naming a business that isn’t impacted by weather. Go ahead – really pressure test it. Weather touches every corner of the global economy. Whether it’s a farm, a freight company, a fashion brand, or even a software firm with a fully remote team, weather finds a way in.

Yes, even in sectors that feel “weather-proof,” its influence shows up in unexpected ways. That remote software firm? A localized heat wave or severe storm can strain regional power grids, risking the uptime and productivity of a distributed workforce. Your data center? Temperature spikes can strain the cooling systems. Your employees? Sunlight levels can affect human cognition and productivity.

Accepting that weather impacts your business is the first step; building resilience against it is the second. This shift from reactive to proactive requires a sophisticated pipeline that translates atmospheric physics into operational logic.

How do organizations turn weather data into actionable insights?

At The Weather Company, every real-world application starts with a rigorous process that transforms raw environmental signals into strategic intelligence:

1. Collection: More than 75 billion terabytes of weather data are ingested daily, sourced from satellites, radar mosaics, aircraft, government feeds, and a global network of ~390,000 personal weather stations, with dense urban and suburban coverage.
2. Normalization: This raw data is cleaned, quality-controlled, and standardized to maintain consistency across inputs. It’s then structured into formats ready for modeling and distribution.
3. Integration: APIs built for enterprise-scale operations – supporting billions of requests per day – deliver this data into systems such as ERP platforms, IoT networks, digital twins, and custom applications.
4. Application: AI-powered technologies like WxMix synthesize over 100 global forecast models, including The Weather Company’s own GRAF^TM system. These models are continuously optimized for every location and weather variable, surfacing predictive insights that businesses can act on in real time. Independent evaluations rank our forecasts #1 in accuracy across both global and regional scales.¹ 

How is weather data driving innovation across industries?

Across industries, businesses are integrating weather intelligence more deeply than ever to unlock value and build long-term resilience:

• Aviation: Weather is responsible for roughly 75% of all flight delays,² and airlines depend on real‑time weather insights to optimize routing, reduce fuel use, and enhance safety. To combat this, more than 44,000 flights in the U.S. alone³ rely on weather forecasts every day to plan safer, more efficient routes, reduce fuel burn, and minimize disruptions.
• Energy & utilities: In summer 2025, U.S. electricity demand across the Lower 48 states set new peak records twice, reaching 759,180 megawatts as hot weather drove up cooling needs – nearly 2% higher than the prior year’s peak.⁴ High‑resolution weather intelligence helps utilities anticipate demand swings, balance renewables, and plan grid operations more effectively under weather‑driven stress.

• Agriculture: Across Europe, extreme weather causes over €28 billion ($31.9 billion) in annual losses for farmers, according to EU-backed analysis.⁵ Flooding, drought, heatwaves, and storms continue to disrupt crop yields, supply chains, and agricultural productivity. To mitigate these risks, producers are increasingly automating their resilience. Today, 35% of global weather API requests support real-time decisions on planting and crop health,⁶ allowing growers to integrate hyper-local soil and atmospheric data into their daily operations.

• Retail: With over $1 trillion in global sales influenced by weather,⁷ brands use seasonal and localized weather signals to optimize promotions, staffing, and inventory, down to the store level.

• Insurance & finance: Global insured losses from natural catastrophes were projected to reach $107 billion in 2025, with the U.S. accounting for a staggering 83% of that total.⁸ As wildfires and severe storms push losses higher, insurers are turning to high-resolution weather forecasts and risk modeling tools to better price policies, reduce exposure, and support more resilient coverage strategies.

• Construction: Weather regularly disrupts construction timelines – damaging materials, delaying crews, and forcing costly rework. In 2024 alone, the U.S. faced 27 separate billion-dollar weather disasters, totaling more than $182.7 billion in losses.⁹ By integrating forecast data into scheduling tools, project teams can plan around conditions like rain, wind, and heat to reduce downtime and stay on track.

• Sports & entertainment: Weather and climate extremes are increasingly disrupting major sports and outdoor entertainment events worldwide. In 2025, severe conditions such as wildfires, high winds, and heat forced cancellations and rescheduling of professional competitions (including PGA golf events and marathons), affecting revenue and the fan experience in an industry valued at $2 trillion.¹⁰ Organizers are integrating real‑time weather intelligence to make safer go/no‑go decisions, adjust schedules, and protect athletes, spectators, and operations.

The rise of the “Shadow CEO”

This cross-industry momentum reflects a fundamental shift: weather is no longer just a background disruption; it is the “Shadow CEO” of the global economy. It quietly influences shipping routes, energy costs, and staffing needs every single day.

This rising awareness is shifting weather from a background disruptor to a boardroom priority.

What’s next for data-driven problem solving in weather and climate intelligence?

As weather volatility intensifies, businesses are moving beyond basic forecasting and embracing climate intelligence – a more comprehensive approach that layers in air quality, environmental data, and AI-driven insights.

• Generative AI is unlocking new ways to simulate risk, test mitigation strategies, and optimize business continuity plans, before disruption occurs.
• Open data collaboration is expanding, with public and private sectors sharing environmental intelligence to advance climate resilience at scale.
• AI-ready datasets from The Weather Company are purpose-built for integration into digital twins, planning tools, and real-time operations systems. These integrations help organizations anticipate disruption rather than simply react to it.

And business leaders are taking note: in a recent study, 100% of surveyed executives agreed that weather intelligence gives their business a competitive edge.¹³ When data becomes both scalable and strategic, weather shifts from a source of risk to a driver of opportunity.

Built for developers: Scalable, high-impact weather data APIs

APIs are at the heart of it all, making it easy for developers and data teams to bring high-resolution weather insights straight into the tools they already use. Add AI into the mix, and suddenly you’re spotting patterns – like a storm that could delay shipments or a cold snap that’ll drive up energy demand – so businesses can stay one step ahead.

The Weather Company offers a robust portfolio of enterprise-grade weather APIs designed to deliver real-time, forecast, and historical weather intelligence at scale. Trusted across industries, our APIs support over 200 billion calls per day with enterprise-grade performance, low latency, and secure integration.

These RESTful APIs enable access to:

• Hyper-local forecasts (hourly, daily, and 15-minute “nowcasts”)
• Historical conditions and almanac data for trend analysis
• Severe weather alerts from trusted government sources
• Environmental and lifestyle indices like air quality, UV risk, pollen, and even use cases for driving difficulty, power disruption, and travel comfort
• Marine and aviation insights, geospatial mapping layers, and current site-based conditions for any latitude/longitude

These APIs are built for flexible implementation – whether you’re powering operational dashboards, IoT platforms, public safety alerts, or mobile apps.

A success story in weather intelligence

Want to see how organizations are already using weather data to solve complex challenges? One example is CAA Club Group, which worked with The Weather Company to improve road safety and operational readiness using real-time weather insights.

For a broader look at how accurate forecasts are driving measurable impact across transportation, energy, and public safety, read our Weather Means Business report.

Ready to build a weather-resilient business?

Don’t just react to the elements — plan for them. Start your free trial to explore our enterprise-grade weather data and start making smarter, data-driven decisions.

A new year sparks a natural surge in consumer optimism and engagement. Luckily, you can ride the wave of that ‘Day 1’ receptivity and spend all year long.

How? Become a Mindset Marketer. This year, resolve to look past the January hype and adopt a mindset-first marketing strategy that taps into the ultimate year-round trigger for human behavior: the weather.

Predicting the next “fresh start”

The fresh start effect isn’t limited to January 1. In reality, human optimism is cyclical. According to ground-breaking neuroscience research, a change in season acts as a psychological reset button. A sudden stretch of spring-like warmth during winter months, or even the first crisp autumn weather in summer can influence mood and decision making. We call this the Creating mindset.

A window for brand discovery

During seasonal firsts, the brain’s engagement and detail-memory centers are at their peak. This isn’t just about consumers feeling happy; it is a state of heightened curiosity and openness. When people are in a Creating mindset, they are more likely to seek out new experiences and routines, process complex information, and — most importantly — try new brands. For a marketer, this is the ultimate fresh start moment.

This is the ideal time for “conquesting” campaigns, product launches, or any message that requires a consumer to break an old habit and start a new one. When the weather triggers a Creating mindset, your audience isn’t just listening — they’re looking for what’s next, and spending accordingly.

How Weather Targeting predicts and captures the Creating mindset

At The Weather Company, our AI-powered Weather Targeting doesn’t just react to the temperature; it anticipates these renewed moments of optimism. While your competitors are fighting the mid-winter slump, a mindset-first marketing strategy allows you to predict exactly when a local weather shift will reignite a consumer’s desire to invest in their wellness routines, home organization, or healthy behaviors.

By layering atmospheric science with sophisticated machine learning, we help marketers move from reactive tactics to proactive strategy. This approach allows you to reach consumers with a “fresh start” message precisely when their environment is signaling them to begin something new — often before that renewed motivation even consciously kicks in.

• Anticipating intent: We move past basic meteorology to understand the “so what” of the weather. Our AI models analyze how specific conditions correlate with shifts in consumer intent, giving you a blueprint for human behavior.
• Privacy-first relevance: In a landscape where third-party data is disappearing, weather provides a powerful, high-intent signal. You can deliver hyper-relevant ads based on a consumer’s current context without needing to track their personal identity.
• Maximizing receptivity: Whether it’s the first break of spring sunshine or a crisp autumn morning, our technology activates your mindset-first marketing strategy at the peak of the Creating mindset when consumers are most open to discovery.

The AI-powered difference: Context without intrusion

The future of marketing is less about knowing who a person is, and more about knowing what moment they are in.

Beyond January: The perpetual performance cycle

The weather-brain connection isn’t a seasonal gimmick — it’s a perpetual cycle. The consistent, predictable influence of weather makes our AI-powered targeting relevant 365 days a year.

How the cycle of weather influences continuous consumer action:

• Spring renewal: As temperatures shift, the consumer mindset pivots toward renewal and pollen relief. This is the moment for brands to meet the surge in health and wellness activity – from starting new fitness routines and seeking out fresh, healthy foods to organizing the home and filling up the social calendar. It’s the peak time for brands to help consumers refresh every aspect of daily life.
• Summer sneak peek: The debut of summer heat shifts cognitive focus toward immediate refreshment and preparation. Consumers begin swapping in seasonal foods and beverages, updating personal care and beauty routines, and refreshing outdoor living spaces to enjoy activities like grilling.
• First fall: The first signs of fall trigger a nesting mindset. Consumers become focused on preparing their sanctuary for cooler weather, getting back to routines that may have lapsed in the heat of summer, and pivoting their palate to seasonal foods and beverages.
• Winter preservation: As daylight dwindles, the mindset moves into a state of emotional and physical warmth. Consumers are more responsive to themes of empathy, nostalgia, and comfort as those first magical snowflakes inspire holiday shopping and festive decor.

The takeaway for a successful 2026

Keeping your marketing resolution to achieve truly relevant, privacy-forward connection requires moving beyond static demographics and focusing on dynamic human context.

The most powerful, universal trigger is the weather. It’s time to harness the neuroscience of weather with a mindset-first marketing strategy and AI-powered targeting from The Weather Company. Through this approach, your message can be delivered at the moment of highest consumer receptivity. Cheers to that.

Weather is one of the most complex, high-volume data streams organizations can leverage – and one of the easiest to get wrong. For operations leaders in logistics, energy, and agriculture, the gap between an acceptable weather data model and a truly accurate one comes down to the precision, freshness, and validation of the underlying data.

What was once a general prediction must now become a location-specific, real-time decision input. To get there, businesses are turning to proprietary AI forecasting systems layered with human insight — systems capable of delivering resolutions as detailed as 3.5km while keeping pace with rapidly changing conditions.

Understanding how weather data is structured and applied reveals why precision, validation, and granularity now drive competitive advantage.

Why does weather data matter?

Weather’s impact is constant, but how businesses respond to it is changing. Companies are shifting from reactive strategies to proactive planning driven by high-resolution, real-time weather data.

The cost of inaction is steep: In 2023 alone, weather-related disruptions caused over $90 billion in damages across U.S. industries¹ – a number that’s pushing more businesses to focus on resilience through proactive weather planning.

As climate variability increases, highlighted by 28 separate billion-dollar weather and climate disasters in the U.S. in 2023 alone,² so does the need for predictive, adaptable tools. Weather intelligence is now a core component of decision-support tools across sectors like energy, agriculture, and logistics.

How is weather data structured and organized?

Understanding weather data starts with knowing its three main types:

• Real-time data – current observations from radar, satellites, and sensors
• Historical data – long-term climate patterns and trends
• Predictive data – forecast models that simulate future outcomes, including:
  • GRAF – A proprietary global model that delivers high-resolution forecasts as often as every five minutes, down to a kilometer level.
  • WxMix – A continuously optimized blend of more than 100 weather models, customized per location, variable, and forecast window to maximize accuracy.
  • HOTL (Human-over-the-Loop) – Oversight from 100+ expert meteorologists who refine AI-generated forecasts based on real-world conditions and operational context.

These tools allow enterprises to create forecasts that are on demand, location-specific, and AI-optimized in real time. That capability is made possible by advances in AI and weather technology.

How is weather data analyzed?

At The Weather Company, forecast accuracy is powered by more than automation. WxMix, our advanced multi-model ensemble, analyzes approximately 100 global weather models. Using AI, it synthesizes and optimizes inputs by location, parameter, and timeframe – maximizing accuracy where and when it matters most.

But it doesn’t stop there. Through Human-over-the-Loop (HOTL) intelligence, our team of over 100 expert meteorologists adds critical oversight so that forecasts are tweaked to reflect real-world complexities algorithms alone might miss. The result is a system that delivers real-time precision with the confidence of expert validation.

What defines reliable weather intelligence?

Not all data is created equal. The most reliable weather intelligence is:

• Accurate – validated against historical and current observations
• Granular – spatially and temporally precise
• Timely – updated continuously (not just 4x a day like legacy systems)
• Validated – tested by third-party accuracy audits

A ForecastWatch study found The Weather Company to be nearly 4x more likely to be the most accurate forecaster compared to the next-best weather forecast provider.³

Standard data vs. precision intelligence: A performance comparison

What turns weather information into intelligence?

Information tells you the weather is changing. Intelligence tells you what that change will cost and how much time you have to act.

At The Weather Company, that transformation happens through a refinement process that filters raw atmospheric data into signals that are specific, validated, and decision-ready. It starts with granularity – moving from broad forecasts to 3-kilometer, 15-minute updates that detect microclimates across a delivery network. Then comes validation, using a blend of over 100 models (WxMix) checked against real-world conditions from sensors, radar, and aircraft.

Contextualization adds historical insight – understanding how past weather patterns affect current risk, like black ice or power outages. Finally, human expertise enters the loop. Our meteorologists don’t just monitor model output; they translate it into actionable guidance, helping enterprises shift from reaction to optimization.

Together, this approach turns noise into signals and weather into a strategic input for smarter decisions.

Weather intelligence is most effective when it connects siloed enterprise systems. By combining high-resolution forecasts with IoT data, live inventory, and ERP platforms, organizations can build a digital twin of their operations. With that visibility, teams can model how future weather may affect supply chains, test response strategies in advance, and shift from reacting to planning.

How is weather data delivered?

Enterprise-grade weather data needs to be accessible, fast, and flexible. That’s why The Weather Company delivers insights via robust, scalable Weather Data APIs built to support real-time decisions across logistics, energy, insurance, and more.

Our APIs give you access to real-time, historical, and predictive weather data with industry-leading accuracy and sub-hourly updates, optimized for integration into your existing platforms. Start a free trial to experience the difference for yourself.

Why near-accurate isn’t accurate enough

If your current provider can’t clearly explain how their forecasts are built, validated, and applied, you may be optimizing against the wrong reality.

As weather becomes more volatile and business cycles more complex, operational success will hinge on forecast intelligence, not just awareness. The next competitive advantage won’t come from knowing the weather, but from engineering around it.

If you spend five minutes in customer forums and subreddits, you’ll see a common thread of frustration. Customers waiting for a delivery often post screenshots of tracking pages showing a “weather delay” when the sky is clear at their front door. To the customer, it feels like a generic excuse, not realizing the downstream effects of weather elsewhere. To the logistics provider, it’s a sign of a “logistics hangover” — the chaotic ripple effect where a single storm in a hub city paralyzes operations for a week.

The cost of being reactive is no longer just “the price of doing business.” In 2024, the U.S. experienced record-breaking climate volatility, with total economic damages from major weather events reaching $182.7 billion.¹ For the logistics sector specifically, weather-related roadway delays cost the trucking industry an estimated $3.5 billion annually.² Beyond the immediate waste, 78% of high-volume e-commerce sellers report that shipping delays directly impact their profitability and “Buy Box” status.³

Why reactive logistics is failing your customers

Customers value transparency over perfection. For too long, logistics providers have relied on “Acts of God” as a blanket justification for disruptions. But when a business sends a “weather delay” notification only after a package is already late, it’s a data failure, not an unavoidable miracle. In the eyes of the modern consumer, an “Act of God” without an accompanying plan of action feels like an excuse for poor planning.

• The transparency gap: Customers want to know why a delay happened. If your system knows a hub in Memphis is iced over, you should tell them before their package misses its scan.
• The “one-strike” rule: In today’s hyper-competitive landscape, 65% of customers will abandon a retailer after just two or three late deliveries.⁴
• The visibility demand: A storm doesn’t just delay one truck; it triggers a surge in anxiety. With 91% of consumers now actively tracking every shipment they order,⁵ a “weather delay” without a proactive explanation leads to a massive spike in “Where Is My Order” (WISMO) inquiries.

Moving from “what happened” to “what’s next” with predictive weather APIs for logistics

When operations are disrupted, the most critical question a business faces is: “How can we stop weather from ruining our delivery ETAs?” Traditionally, the answer was “we can’t.” But by integrating predictive weather APIs for logistics directly into your operational workflow, you shift from damage control to strategic prevention.

1. Automated route optimization: Instead of reacting to a closed highway or a grounded flight, use predictive data to reroute freight 48 hours before the first snowflake hits. This helps keep ETAs reliable, even when the climate is volatile. Logistics leaders using these predictive analytics see an average 15–25% reduction in operating costs.⁶ By knowing exactly which routes are “workable,” you also eliminate the fuel waste of dry runs and the high cost of emergency, last-minute rerouting.
2. Proactive “pre-storm” communication: Send a “heads up” alert before the customer even thinks to check their tracking number. By notifying a customer that you’ve moved their ship date up by 12 hours to beat an incoming storm, you turn a potential delay into a demonstration of reliability. Predictive notifications about delivery status and potential delays reduce customer complaints by 50-70%⁷ while simultaneously improving on-time delivery performance by 35%.⁸

Why The Weather Company is the choice for enterprise logistics

Building a resilient supply chain requires more than just a 5-day forecast; it requires dense, global data. The Weather Company is the world’s most accurate forecaster⁹ in the industry, providing:

• Accuracy you can trust: The Weather Company has been named the world’s most accurate forecaster overall for several years running by ForecastWatch. Our lead over the next best provider has grown by nearly 4x,¹⁰ meaning your data is reliable even when the storm is at its worst.
• Massive data volume: We ingest over 75+ billion terabytes of weather data daily, sourced from satellites, radar, and a global network of over 390,000 personal weather stations. This equips your team with high-resolution data for both rural corridors and dense urban ‘last-mile’ deliveries.
• Scale you can trust: We handle 6 trillion API calls per month with a guaranteed 99.95% uptime SLA, ensuring your data is available when the storm is at its worst.

Make weather your competitive advantage

The future of logistics isn’t about avoiding the storm — it’s about seeing it coming. By adopting predictive weather APIs for logistics, you can stop using weather as an excuse and start using it as a reason for your customers to trust you more.

• Explore our API offerings: Visit the API hub to see our full catalog of data layers available.
• Test it yourself: Ready to build? Start your weather data API free trial today.

Recent headlines have put a sharp focus on a critical industry challenge: aviation turbulence. The tragic Singapore Airlines incident is a stark reminder of the risks. But these aren’t isolated events; they’re part of a scientifically documented trend. An increase in clear-air turbulence (CAT), driven by a changing climate, demands that we evolve our approach to turbulence mitigation. For airlines, the key to enhancing safety and operational efficiency lies in shifting from reactive reporting to proactive, data-driven avoidance.

Let’s face it: Weather-related challenges aren’t only an operational headache for airlines; they are a massive financial burden. Turbulence encounters, crosswind complications, and conditions that trigger irregular operations (IROPs) cost the industry hundreds of millions each year globally. We’re talking injury claims, operational delays, aircraft repairs, cargo damage, and revenue losses that cascade through entire flight networks. Airlines need to stop playing defense and start getting ahead of these challenges.

The growing threat of clear-air turbulence

For decades, the industry has managed turbulence with turbulence forecasts and pilot reports. But these traditional methods are being challenged by clear-air turbulence. This invisible threat occurs in cloudless skies. It often catches flight crews by surprise, giving them no time to react.

Limited connectivity in the cockpit leads to uncertainty about the location, extent, and severity of enroute impacts. In turn, this exposes flights to the risks of crosswinds and IROPs scenarios leading to costly disruptions. Weather challenges demand real-time awareness.

Science confirms: Turbulence on the rise

A landmark 2023 study found that severe CAT has already increased by 55% over the North Atlantic in the past 40 years due to a changing climate,¹ with further significant increases projected. And according to the Federal Aviation Administration (FAA), turbulence accounts for more than a third of all major airline accidents.² The vast majority result in serious injuries to passengers or crew. This isn’t just a safety and comfort issue; the operational costs — from diversions to structural inspections and reputational damage — are also significant.

From reactive reports to proactive turbulence mitigation

The fundamental weakness of traditional turbulence management is data lag. For example, pilots often lack real-time data — especially when connectivity is limited. A manual Pilot Report (PIREP) is a subjective snapshot of the past. By the time it’s relayed to an aircraft, the atmospheric conditions may have already changed.

Weather challenges demand real-time awareness. So the future of flight safety may depend on your ability to shift from reactive to proactive. We must move from isolated, subjective turbulence reports to a comprehensive, real-time, and objective view of the atmosphere.

It’s not what a pilot felt — it’s what the atmosphere is doing right now. The Weather Company’s approach is built on a unique synthesis of real-time EDR (Eddy Dissipation Rate) data, high-resolution weather modeling, and the combined expertise of aviation meteorologists. Automated alerts can be relayed via ACARS to pilots when other avenues fail. This works even in limited or non-connected cockpit scenarios. Pilots can have confidence these alerts are founded in weather intelligence from the world’s most accurate forecaster.³

Maverick WXAlert: Reducing enroute weather challenges through timely, direct cockpit alerting

On the ground or in the air, real-time data provides the detailed atmospheric intelligence pilots and dispatchers need. Maverick WXAlert combines multiple data sources into a single, proprietary system that keeps pilots informed — even when connectivity is limited. This workflow-integrated solution helps teams operate proactively with:

• Resilient ACARS cockpit communication: Delivers real-time, moderate or higher turbulence EDR updates directly to the cockpit via ACARS — even when in-flight connectivity is limited
• Tactical enroute decision-making: Assists in managing IROPs and guiding pilots on optimal diversion alternates
• Improved safety and efficiency: Shares synchronized alerts to both dispatchers and pilots the moment a flight is forecast to encounter an enroute weather hazard

Turbulence forecasting: Where experience and innovation converge

The Weather Company meteorologists — with an average of over 10 years of experience in aviation forecasting — don’t just rely on standard global weather models. They also leverage a proprietary Global High-Resolution Atmospheric Forecasting System (GRAF^TM) that updates rapidly. It captures turbulence-prone areas with far greater precision than conventional models. Better resolution means more accurate predictions of where atmospheric hazards are most likely to develop. This proven, reliable weather intelligence helps pilots to optimize routes that prioritize safety, efficiency, and passenger comfort.

Alert messages are generated when a flight is projected to intersect an enroute hazard.

Turbulence intelligence straight to the cockpit

Real-time, crowdsourced turbulence data becomes exponentially more powerful when it is integrated across the entire operational workflow. This creates a connected ecosystem to enhance safety. The Weather Company is strengthening our turbulence avoidance solutions with the new integration of EDR data.

Maverick WXAlert is more than just a turbulence alerting system. Operation teams can take advantage of the ability to deliver timely, precise, and actionable alerts and other features directly to the cockpit in limited or non-connected scenarios via ACARS, including:

Enroute Hazard SIGMETS (proprietary) and Flight Plan Guidance (FPGs)

Get an incisive, actionable view of:

• Turbulence, crosswinds, proprietary SIGMETs, IROPs, and other impacts; monitored, redefined, and verified continuously by expert aviation meteorologists 24/7 x 365
• Route plan and altitude optimization powered by proprietary modeling

Decision support integration

Help stakeholders operate on the same page with:

• Flight-following solutions: Dispatcher workflows integrated with AI-driven weather awareness for faster, safer decision-making from ground to air
• Fusion Replay: On-demand post-event analysis
• Pilotbrief^Ⓡ: Collaborative preflight and in-flight crew awareness
• Aviation APIs: Enterprise data services curated and formatted to specific airline needs

Turbulence advisory

Fill critical information gaps and operational blind spots with:

• Moderate or higher turbulence reports, including EDR, PIREPs, or TAPS – prior to SIGMET or FPG amendments
• Timely alerting to mitigate impacts of emerging significant hazards
• Severity and 3D airspace impacts

Smarter decisions across every phase from preflight to landing

Build confidence, collaboration, and sharpen decision making from flight planning to post-review. Enable a wider range of weather alerts for turbulence and beyond with the Maverick platform’s condition manager, like:

• Expanded hazard alerting: Includes alerts for crosswinds, proprietary SIGMETs and FPGs, as well as official government-issued SIGMETs and AIRMETs
• Deeper intelligence for critical IROP scenarios: Provides real-time context on what’s causing holdings and go-arounds, diversion information, or what weather conditions exist at alternate airports

Clarity and confidence across every flight phase

The recent turbulence events are a clear call to action. As an industry, we have a shared responsibility to meet this evolving challenge with the best technology and most collaborative strategies available. At The Weather Company, our commitment is solid: delivering proven, accurate data and comprehensive flight turbulence solutions that transform atmospheric data into decisive, life-saving actions.

The skies keep changing, but together we have the tools and commitment to keep flying them as safely as possible.

In the scramble for consumer attention, marketers are always searching for the ultimate signal of real-time intent. The truth is, that signal has been outside the window all along.

Every day, the weather dictates millions of consumer choices — from what people wear and eat to how they travel and shop. For advertisers, understanding this constant environmental shift is the key to achieving perfect contextual relevance.

Weather Targeting is the sophisticated advertising solution – powered by AI and data from the world’s most accurate forecaster¹ – turning these shifts into predictive insights. It moves past calendar-defined seasons and static forecasts to decode the intricate, often subtle, relationship between climate and human behavior. The result: brand interactions that are meaningful and timely.

Here’s a deeper dive into how and what Weather Targeting can deliver for marketers.

Built to fit your existing media ecosystem

Weather influences every decision — from how people plan to what they buy. That’s why it works as a decisioning signal across your entire media ecosystem.

Weather Targeting is built to fit right in. It integrates with every major platform and channel you’re already using — social, CTV, your preferred DSP or SSP — so you don’t have to change how you work.

Whether you’re running campaigns on our properties or elsewhere, you’re tapping into the same reliable weather intelligence that helps your business perform better. It’s a complete solution designed for the complexity of today’s ad ecosystem, without the friction.

Maximize impact, minimize waste

Stop running irrelevant campaigns and start improving campaign effectiveness across all your digital destinations. Weather Targeting reduces the guesswork. It’s the dynamic intelligence that helps better position your brand at the moment of consumer intent — a moment influenced by the weather around them.

Dense fog doesn’t negotiate. When it rolls in, it obscures runways, and forces operational decisions worth millions — in mere minutes.

At King County International Airport (BFI) — better known as Boeing Field — just south of downtown Seattle, UPS flies four aircraft every morning within a tight 40-minute arrival window. Standard TAF and TCF outlooks miss the critical nuances that a human can provide. Examples include understanding impact likelihood, timing significance, and offering assurance for decision making. This gateway location demonstrates how integrated weather experts can help transform uncertainty into actionable intelligence for critical, micro-scale decisions.

High-stakes hub operations: The 30,000 package equation

The fog threatened more than just visibility; it threatened the entire daily operation.

UPS flies four 767 aircraft into Boeing Field most mornings within a tight 40-minute arrival window. Here is what was at stake in that narrow operational window:

• Inbound impact: 10,000 UPS Next Day Air packages, plus additional cargo
• Outbound impact: 20,000 UPS Next Day packages scheduled for departure on the turn
• Total disruption: 30,000 commitments hanging in the balance

The operational constraint: Why timing is everything

Once an aircraft lands, packages immediately flow to specific gates based on each plane’s destination. That routing is locked — packages are coming out, and the destination sequence cannot be changed.

Realizing an aircraft has a Minimum Equipment List (MEL) before it reaches its gate is critical. Early, accurate forecasting allows operations to reposition pilots and aircraft before landing. This maximizes the chances of maintaining next-day service commitments across the entire network.

The embedded expert: Transforming uncertainty into actionable intelligence

The Boeing Field case study is yet another example of why The Weather Company’s FAA-compliant, EWINS Weather Forecast Services positions meteorologists where decisions happen — side-by-side in operations centers alongside dispatchers and air traffic coordinators. Having the right expert in the room separates anticipation from reaction.

The initial conditions were dire:

• Fog forecast: 300 feet overcast, one mile fog visibility, light mist
• UPS minimums at BFI: 290 feet ceiling decision height, 4,000 feet RVR
• Morning fog risk: Moderate (30–50%), then upgraded to High (51%+) after 12Z

Fog covers the terminal airspace at Boeing Field, diminishing visibility.

Crisis inbound: When the fog forecast hits minimums

With four planes already inbound, the 1053Z METAR observation: half-mile visibility with an overcast cloud layer 200 feet above the ground.

ATC permitted the first aircraft to make an approach, and it descended through the fog layer to decision height. The pilot searched for runway lights that should have appeared through the mist — they weren’t visible.

The plane entered a low-level holding pattern, burning precious fuel with each orbit. After discussion with Flight Ops, the three other aircraft — which were minutes behind — were given a critical call: Hold at 25,000 to 28,000 feet.

This decision maximized their fuel endurance and bought time. The embedded meteorologist (MET) proceeded to find a solution that didn’t exist in any TAF.

A 50-mile wide cloud and a 20-minute chance

Concerns mounted about diverting all four aircraft and collapsing the entire operation. But the MET saw something in the satellite imagery.

Managers gathered urgently in the Meteorology office, and the briefing from the MET was direct. A narrow cloud deck, only 50 miles wide at 4,000 feet, was moving directly toward Boeing Field. This wasn’t speculation or probability ranges — this was observable atmospheric physics in motion.

Real-time weather intelligence from the world’s most accurate forecaster¹ revealed a critical solution. The cloud would temporarily lift the fog deck, for perhaps 20 to 25 minutes. This one window was also the only chance to land all four aircraft on time.

Precision forecasting meets operational reality

The airline managers faced a decision with little to no safety net. Bring three aircraft down from holding altitude based on a 20-minute fog forecast window, or divert and accept that 30,000 customers would miss their service commitments.

They made the high-stakes call, pulling all three holding planes down to 10,000 feet. The cloud moved over Boeing Field exactly as forecast. The fog deck lifted, and all four aircraft landed within the window — one after another.

Then, just as the MET predicted, the cloud moved out. Fog returned immediately, dropping visibility back below minimums. It stayed that way until 17Z — five hours later.

Critical insights saving the day

Every inbound package made its service window. Crews stayed within duty limits. The 20,000 outbound packages departed on schedule. Thirty thousand customers received their deliveries because of a 20-minute forecast window that most meteorological products would never capture.

Without that hyper-specific guidance, the outcome writes itself: no inbound packages make service, crews time out, outbound operations collapse. The entire 30,000-customer chain breaks. Jeff Sarver, Meteorologist-In-Charge (MIC), The Weather Company, stated it clearly afterward: “The confidence level and demeanor of the meteorology team gave them the assurance they needed to make that high-stakes call. Not just the forecast — the confidence behind it, delivered by people who understood both the atmosphere and the operation it was about to disrupt.”

When weather intelligence matters: Confidence vs. the coin flip

Uncertainty makes aviation professionals uncomfortable. Pilots make tactical decisions in real-time with zero margin for error. But perfect forecasts don’t exist — a reality that creates tension between meteorological science and operational necessity.

Pilots make tactical decisions in real time with zero margin for error. But perfect automated forecasts don’t exist — a reality that creates tension between technology and operational necessity.

Consider the dreaded 50% probability (‘PROB 50’) forecast. Meteorologists see the challenge in issuing it, because it feels like a coin flip. But, context transforms that number completely. A 50% chance of freezing drizzle in Atlanta is alarming and operationally disruptive. But the same forecast in Minneapolis is just another winter day.

How confidence changes the game

This is where embedded meteorologists bridge the gap. At Boeing Field that morning, the fog forecast wasn’t about percentages — it was about a 50-mile-wide cloud deck arriving in 20 minutes. That specificity turned uncertainty into actionable intelligence.

Confidence doesn’t eliminate uncertainty. But it can help clarify what to do with it. Airlines with embedded meteorologists make more informed decisions than ever before, particularly when confidence is high in significantly disruptive events. This allows them to proactively cancel flights, reroute passenger connections, and position staff accordingly — sometimes days in advance.

The human element: Embedded expertise changes high-stakes decisions

Embedded meteorologists enhance communication capabilities in ways standard forecasts simply cannot. They discuss scenarios with dispatchers and operational managers, explaining not just the confidence level but the “why” behind it: timing windows, severity thresholds, geographic variability, and more.

One wrong decision coupled with vague intelligence can impact operations for the rest of the day, and domino fast. For example, one airline partner describes embedded meteorologists as their “early warning system.” They added, “A ‘PROB 30’ TAF entry, for example, isn’t enough information to make hub decisions.”

Transitioning from uncertainty to confidence — from “maybe” to “here’s your window” — produces outcomes that cascade through entire networks. That level of operational meteorology goes far beyond what any standard format, like a “PROB30” TAF entry, can communicate.

With the arrival of winter, the air turns cold, the days grow short, and heavy clouds prepare for snowfall. Wardrobes change from light jackets to heavy coats and sweaters. But that’s not all that’s changing. A new consumer neuroscience research study from Neuro-Insight reveals there’s also a predictable shift in the brain ignited by winter weather. We call this the Enduring Mindset, and it’s a critical lever for brands running holiday advertising campaigns.

Far from being a time to go dark with the early setting sun, the winter season is a prime opportunity for empathetic winter marketing campaigns that build lasting trust and drive conversions.

What is the Enduring Mindset?

The Enduring Mindset – one of four weather-driven mindsets – is triggered by cold, snowy weather or a wintry, rainy storm. The emotional effect is so strong that many of us are noticeably, consciously aware of its impact on our well-being.

When people experience this mix of winter weather conditions, several key brain systems go into overdrive: Emotional engagement, global memory, and imaginative thinking become more active. This heightened state fuels deeper emotional processing and a stronger appetite for meaningful content and connection.

In this mindset, consumers crave comfort, safety, and connection with friends and family. They’re also more sensitive and open to connections with brands that make them happier, remind them of fond memories, and help them connect with loved ones. This nostalgic, emotional state opens the door for brands to become part of the very magic that makes the winter holidays so special – and a powerful opportunity to introduce cold-weather marketing ideas that reflect how people actually feel.

Nostalgia marketing and consumer behavior

By leveraging holiday nostalgia and the Enduring Mindset in your holiday advertising strategies, you can help strengthen the brand-consumer connection by increasing the relevance and resonance of your message. The power of consumer neuroscience in marketing is undeniable: Ads that match the emotion can be more effective, improving ROI by nearly 20%.¹

The impact of weather on nostalgia is particularly strong during the winter holidays:

• 53% of people say cold, snowy weather during the holiday season makes them feel nostalgic²
• 51% say the weather makes some of their holiday memories even stronger³
• 1 in 4 people say holiday advertising that includes relevant weather feels more memorable and impactful⁴

Key insight: Gen Z’s emotional connection to the holidays

Gen Z is even more likely than the general population to connect winter or holiday weather with their enjoyment of the season:

• 64% more likely to say it impacts their feelings of nostalgia or memories about the holidays⁵
• 65% say the weather makes some of their holiday memories even stronger⁶
• 62% say some of their happiest holiday memories are even better because of the weather⁷

As a result, 40% of Gen Z says holiday advertising that includes relevant weather feels more memorable.⁸ By understanding Gen Z’s profound emotional connection to winter weather, brands have a unique opportunity to build lasting relationships with this crucial audience.

Tactics to tap into the cold weather vibe

The Enduring Mindset is all about emotional sensitivity and desire for connection. What better way to create those connections than through heart-warming, holiday nostalgia? Meet consumers in the Enduring Mindset to drive:

• Brand affinity and loyalty
• Replenishment purchases for favorite products
• Repeated engagements

Here’s how to craft a holiday advertising campaign that resonates with consumers this winter season.

1. Lead with heart

Let empathy guide your messaging. Instead of a hard sell, create a narrative that makes your brand feel like a supportive companion during a difficult moment. This is a time for storytelling that evokes feelings of safety and nostalgia, not urgency.

2. Help check off to-dos

With all the excitement comes a little stress. People’s focus shifts to holiday prep, shopping and caring for others. Your brand can become a trusted resource by providing helpful, actionable content in the moment to bring comfort and peace of mind.

3. Embrace nostalgia

Familiarity boosts affinity. Choose visuals that evoke fond family memories of the season. Use a warm color palette that offers comfort from the cold, gray outdoors.

4. Show Gen-Z lots of love

Young people’s emotional centers are especially active right now. Match the emotion of your messaging to their mindset with Weather Targeting to build loyalty with this critical segment.

5) Use Weather Targeting to match the moment

Go beyond the forecast; anticipate the mood across all of your digital media activations. Weather Targeting is a targeting layer that uses AI to put your brand in front of consumers when they’re most receptive. As the world’s most accurate forecaster,⁹ The Weather Company helps you go beyond the calendar dates to identify the precise weather conditions that are scientifically proven to trigger the desire for warmth and connection. It’s this industry-leading precision that can help reduce media waste in your holiday advertising campaign, so you can target mindsets throughout the season, not just dates on the calendar.

Turn a seasonal shift into a strategic advantage

As the season changes, so does the brain. Winter makes us feel more, remember more, and connect more deeply – not just with people, but with the brands that understand us. The smartest winter marketing campaigns aren’t those that shout the loudest. They’re the ones that listen to the weather.