Accurate wildfire forecast data: Stay ahead of the blaze now

Ambee's wildfire forecast data delivers predictive fire danger intelligence up to 4 weeks in advance, enabling businesses and communities to prepare, mitigate risks, and protect lives and property.

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Wildfire Forecast API

Why Ambee’s wildfire forecast leads in accuracy & reliability

4-Week advanced warning

Get monthly fire danger trends with weekly updates for proactive risk management, supply chain protection, and emergency preparedness planning.

500m Grid precision

Access hyperlocal fire weather forecasts with temperature, precipitation, and Fire Weather Index (FWI) data.

Tailored for North America

Validated forecasts specifically for the North America Region, providing regional risk categorization and expanding coverage areas.

Weekly risk updates

To inform strategic decisions, receive consistent forecast updates with clear risk categorization (low, moderate, high).

Comprehensive risk metrics

Make informed decisions based on FWI, FFMC, temperature trends, precipitation forecasts, and historical seasonality patterns.

Easy integration

Launch in minutes with your favorite software via developer-friendly API documentation and a simple integration guide.

Wildfire data accuracy you can trust

Reliable, data-backed wildfire forecasts validated against real-world events for precise risk assessment.

Asses wildfire risk

16 Dec 2024 (forecast)

Ambee forecasted the wildfire risk zone
Predicted Wildfires

6 Jan 2025 (wildfire event)

Wildfires occurred in the same risk zone
Actual Wildfires Happened
On December 16, 2024, Ambee’s wildfire data identified high-risk zones (yellow) in LA. By January 6, 2025, fires had broken out in these areas (red).
Climate change made LA fires worse

Scientists confirmed climate angle

Scientists confirm wildfires are complex, but a warming climate increases LA’s risk of intense fire events.
Read More:
BBC News Article

Wildfire forecast vs. real-time wildfire monitoring

While real-time wildfire monitoring tracks active fires as they occur, Ambee's wildfire forecast provides predictive intelligence up to 4 weeks before potential fire dangers emerge. By combining these complementary solutions, organizations gain both immediate situational awareness and strategic long-term planning capabilities.

Capability
Wildfire forecast data
Real-time wildfire data
Historical wildfire data
Purpose
Predict future fire risks
Risk planning, resource allocation
Analyze past fire patterns
Time horizon
4 weeks ahead
Current conditions
Past events
Update frequency
Weekly updates
Hourly updates
Complete historical record
Primary use cases
Risk planning, resource allocation
Emergency response, evacuation
Pattern analysis, risk modeling
use cases

Turn wildfire forecasts into strategic advantages

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Insurance icon

Insurance

Price policies dynamically using predicted risk scores and validate claims with historical and forecast alignment. Reduce loss ratios by implementing preventative policyholder communications in high-risk areas.
Logistics and supply chain icon

Logistics & supply chain

Reroute shipments up to 4 weeks ahead using fire danger zone predictions. Minimize delays, rerouting costs, and potential losses with strategic planning rather than emergency responses.
Emergency management icon

Emergency management

Pre-position resources and develop evacuation plans with multiple weeks of lead time. Maximize community safety and resource efficiency with data-driven preparation strategies.
Energy & utilities icon

Energy & utilities

Implement preventative power shutoffs, secure critical infrastructure, and schedule maintenance based on predicted fire risk zones. Prevent equipment-caused ignitions and protect transmission lines with actionable intelligence.
Healthcare providers icon

Healthcare providers

Prepare for potential air quality issues and respiratory patient influxes with advanced warning. Stock supplies, adjust staffing, and coordinate with emergency services before impacts occur.
Construction & infrastructure icon

Construction & infrastructure

Schedule outdoor work during lower-risk periods identified by weekly forecasts to maintain project timelines while ensuring worker safety and regulatory compliance.

How our wildfire forecast technology works

Multi-source data collection

Our systems continuously gather data from satellites, ground sensors, weather stations, and historical fire records to feed our prediction models.
Wildfire forecasts advanced analytics icon

Advanced analysis

Proprietary algorithms analyze dozens of variables including temperature, precipitation, days since the last fire, seasonal patterns, and vegetation conditions to identify fire risk patterns.
Wildfire forecasts scientific risk calculation icon

Scientific risk calculation

We calculate the FWI, FFMC, and other critical metrics using industry-standard methodologies enhanced with proprietary improvements.
Wildfire prediction weekly forecasting icon

Weekly forecasting

Our system generates 4-week forecasts with weekly intervals, delivering clear risk assessments updated regularly for consistent decision support.
Wildfire forecasts hyperlocal delivery icon

Hyperlocal delivery

Access pinpoint wildfire risk data through developer-friendly APIs at 500m grid resolution for maximum relevance.

Key forecast parameters that drive prediction accuracy

  • Fire Weather Index (FWI): Comprehensive fire danger rating system
  • Fine Fuel Moisture Code (FFMC): Moisture content in fine surface fuels
  • Weekly seasonality trends: Historical fire pattern analysis
  • Temperature forecasts: Projected temperature conditions
  • Precipitation forecasts: Expected rainfall amounts
  • Days since last fire: Time-based risk escalation factor
  • Risk categorization: Clear low/moderate/high classification

Sample Response

{
    "message": "success",
    "data": [
        {
            "week": 9,
            "fwi_today": 0,
            "ffmc_today": 0,
            "ffmc_temp_precip": -0.007227499999998876,
            "weekly_seasonality": 0,
            "temperature": 27.1,
            "precipitation": 0,
            "days_since_last_fire": 32,
            "predicted_risk": 0,
            "predicted_risk_category": "low",
            "created_time": "2025-02-28T01:08:55.126Z",
            "timeLocal": "2025-02-27T19:08:55-06:00",
            "timezone": "America/Mexico_City"
        },
        {
            "week": 10,
            "fwi_today": 0,
            "ffmc_today": 0,
            "ffmc_temp_precip": -0.05158999999999879,
            "weekly_seasonality": 0,
            "temperature": 19.9,
            "precipitation": 0.1,
            "days_since_last_fire": 39,
            "predicted_risk": 0,
            "predicted_risk_category": "low",
            "created_time": "2025-02-28T01:08:55.126Z",
            "timeLocal": "2025-02-27T19:08:55-06:00",
            "timezone": "America/Mexico_City"
        },
        {
            "week": 11,
            "fwi_today": 0,
            "ffmc_today": 0,
            "ffmc_temp_precip": -0.008574999999998667,
            "weekly_seasonality": 0,
            "temperature": 27.2,
            "precipitation": 0,
            "days_since_last_fire": 46,
            "predicted_risk": 0,
            "predicted_risk_category": "low",
            "created_time": "2025-02-28T01:08:55.126Z",
            "timeLocal": "2025-02-27T19:08:55-06:00",
            "timezone": "America/Mexico_City"
        },
        {
            "week": 12,
            "fwi_today": 0,
            "ffmc_today": 0,
            "ffmc_temp_precip": 0,
            "weekly_seasonality": 0,
            "temperature": 26.5,
            "precipitation": 0,
            "days_since_last_fire": 53,
            "predicted_risk": 0,
            "predicted_risk_category": "low",
            "created_time": "2025-02-28T01:08:55.126Z",
            "timeLocal": "2025-02-27T19:08:55-06:00",
            "timezone": "America/Mexico_City"
        }
    ]
}
Try Fire Forecast APIView Documentation

Enhance wildfire forecasts with these additional data

Real-time wildfire monitoring

Track active fires as they happen with our wildfire API for immediate situational awareness.

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Historical wildfire analysis

Study past patterns with our historical wildfire data to understand regional trends.

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Wildfire forecasting

Anticipate and prepare for future risks with our industry-leading wildfire forecast system providing a 4-week advance warning.

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Start predicting fire risks in under 15 minutes

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Get insights

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Ambee’s fire data for early fire detection and rapid response

Enhance wildfire detection & response with Ambee's accurate Fire Data. Signup for our API dashboard for visual forest fire insights combining satellite imagery, predictive analytics, & AI.

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Enhanced fire data - Ambee’s new and improved forest fire API

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Frequently Asked Questions

What is pollen count ?

Pollen count shows the number of pollen grains that are present in the air for a standard volume.

What are the different types of pollen allergy?

The different types of pollen allergy are classified based on the severity of the allergy and the type of pollen to cause an allergy. According to allergy data, tree, grass and weed allergies are three primary types.

Guide to pollen count levels?

Pollen count levels range from 0 to 50,000 grains depending on the type of pollen. Safest pollen counts are when the pollen index is low. The higher the pollen index, more is the number of pollen count level.

How can I use an API key in pollen API calls?

API key can be copied and inserted in the tab on the Ambee dashboard to make pollen API calls. Pollen app give you real-time pollen count without an API  key.

What is the pollen index?

Pollen index is directly correlated to pollen count, which is the measurement of the number of grains of pollen in a cubic meter of air. Low pollen index means the number of pollen count in the air is low and high pollen index means the number of pollen count is high. High pollen index can lead to increased rates of allergic reaction for those with allergic disorders.

How do we verify pollen forecast?

There are several ways to verify pollen forecasts:

One way is to compare the forecast to actual pollen counts. Another way to verify pollen forecasts is to compare them to other sources of information about pollen levels. For example, you could compare the forecast to reports from other pollen monitoring stations in the same region.

Overall, the best way to verify pollen and allergy forecasts is to use a combination of both of these methods to get an accurate result. At Ambee, we additionally verify pollen forecast using proprietary AI and ML models to ensure maximum accuracy.

How to access historical pollen count data?

You can get historical pollen count data up to 48 hours on our APIs and more than 10+ years on demand by contacting our customer service. Our historical pollen data is accurate with street level granularity. Get highly insightful data on historical pollen counts by just heading over to our API dashboard.

How accurate are allergy forecasts?

Allergy forecast are generally quite accurate, but they can be affected by a number of factors, such as changes in weather patterns and local conditions. It's a good idea to check the forecast regularly and to be prepared for fluctuations in allergen levels. At Ambee, we examine multiple pollen station’s historical data and patterns, while taking into account other phenological factors and behaviors. Using the power of proprietary AI and ML models, Ambee’s virtual pollen monitoring station provides reliable, and accurate pollen count by zip code and allergy forecasts.

Frequently asked questions

What is Ambee's wildfire forecast?

Ambee provides 4-week advance wildfire risk forecasts with weekly risk classifications (low, moderate, or high), giving organizations time to prepare before fire threats develop.

How accurate are Ambee's wildfire forecasts?

Ambee's wildfire models achieve 96% accuracy using satellite data, sensors, and historical burn patterns. For example, Ambee correctly identified high-risk zones in Los Angeles on December 16, 2024, where wildfires occurred on January 6, 2025.

Where is Ambee’s wildfire forecast coverage available?

Ambee currently provides wildfire forecast coverage for the North American region (NAR), including the US and Canada.

Does the wildfire forecast work for rural areas?

Yes. Ambee’s 500m resolution wildfire forecasting works effectively for remote forests, farms, and infrastructure.

How often are Ambee’s wildfire forecasts updated?

Ambee's wildfire forecasts are updated weekly, providing you with the latest risk assessment data.

What data is included in Ambee's wildfire forecast?

Each forecast includes the Fire Weather Index, moisture codes, temperature/precipitation forecasts, historical analysis, and weekly risk categorization.

How do I access the wildfire forecast data?

To access the wildfire forecast data, simply sign up on the Ambee API dashboard and gain access to 100 free API calls per day for 15 days.

How do businesses use wildfire forecast data?

Organizations use wildfire forecast data for insurance assessment, emergency planning, supply chain management, construction planning, healthcare preparation, etc.