Atmospheric risk intelligence
From weather and climate to real-world decisions.
Sector views will translate atmospheric data into what it means for the people and industries that depend on it. Every score must rest on a documented, validated method — so today this page shows real hazard context, and no risk levels.
Turn atmospheric data into a more resilient tomorrow.
- Sector context built on real, dated layers
- Global coverage, local detail where data allows
- A documented method before any score
- Source and time shown with every layer
Globe: NASA Blue Marble, Black Marble and MODIS cloud composite — illustrative, not current weather.
Agriculture
Crop stress, planting windows and water balance.
Suomi · 29 Sept
Aviation
Convection, turbulence and visibility along routes.
Himawari-9 · 29 Sept
Energy
Demand, wind and solar resource.
Suomi · 29 Sept
Shipping
Winds, waves and tropical cyclones at sea.
GHRSST · 28 Sept
Insurance
Hazard context for exposure and losses.
GPM · 28 Sept
Hazards at a glance
What sector views would score — each tile waits for a published method.
Extreme heat
No score yet
Methodology required
Tropical cyclones
No score yet
Methodology required
Heavy rainfall
No score yet
Methodology required
High winds
No score yet
Methodology required
Marine conditions
No score yet
Methodology required
Hazard context map
Real, dated layers a sector view would build on. This is physical context, not a risk assessment.
Precipitation rate (mm/hr)
Valid: 29 Sept 2026, 18:30 UTC · Analysis · Source: GPM IMERG (Early Run), 30-minute (NASA GIBS)
Outlook by sector
Seven-day sector outlooks will appear here once each method is published and validated.
- Agriculture · Sector riskComing soon
Methodology required
A risk level will appear here only once its methodology, inputs, update frequency, limitations and validation are published.
- Aviation · Sector riskComing soon
Methodology required
A risk level will appear here only once its methodology, inputs, update frequency, limitations and validation are published.
- Energy · Sector riskComing soon
Methodology required
A risk level will appear here only once its methodology, inputs, update frequency, limitations and validation are published.
- Shipping · Sector riskComing soon
Methodology required
A risk level will appear here only once its methodology, inputs, update frequency, limitations and validation are published.
- Insurance · Sector riskComing soon
Methodology required
A risk level will appear here only once its methodology, inputs, update frequency, limitations and validation are published.
Operational tools
Planned tools that turn context into action.
Risk analytics
Coming soonExposure and impact estimates — after methods are validated.
Scenario modelling
Coming soonWhat-if analysis replaying historical events.
Custom alerts
Coming soonNotifications for your assets and regions.
API & data access
Coming soonThe same layers inside your own systems.
What each sector would need
Before a single number is shown: the questions, inputs, method and validation.
Our rule for risk. We do not invent risk scores. Any score, category, probability or threshold must have a documented methodology, defined inputs, an update frequency, stated limitations and validation where applicable.
Agriculture
- Questions it would answer
- Is heat or dryness coinciding with sensitive crop stages?
- Data inputs
- Temperature, precipitation, soil moisture, evapotranspiration, crop calendars.
- Method to document
- Agro-climatic indices with published thresholds per crop and region.
- Validation
- Comparison against historical yield and drought records.
Aviation
- Questions it would answer
- Where is deep convection or turbulence likely along a route?
- Data inputs
- Forecast convection, winds and jet-stream position, cloud and visibility.
- Method to document
- Operational products must follow official aviation meteorology sources.
- Validation
- Verification against pilot reports and official advisories.
Energy
- Questions it would answer
- How will temperature, wind and cloud affect demand and renewable output?
- Data inputs
- Temperature (degree days), hub-height wind, solar irradiance, cloud cover.
- Method to document
- Transparent conversion models with stated assumptions.
- Validation
- Back-testing against metered demand and generation data.
Shipping
- Questions it would answer
- Which routes and ports face hazardous winds or seas?
- Data inputs
- Marine winds, significant wave height, tropical cyclone tracks.
- Method to document
- Thresholds tied to vessel class and published marine warnings.
- Validation
- Comparison with buoy observations and official warnings.
Insurance
- Questions it would answer
- How unusual is a hazard compared with the historical record?
- Data inputs
- Reanalysis climatology, event footprints, return periods.
- Method to document
- Documented return-period estimation with uncertainty ranges.
- Validation
- Peer-reviewed methods and independent historical records.
Atmospheric risk intelligence
Atmospheric intelligence, built on evidence.
Sector views will reuse the observation, climate and event layers — and inherit their sources and methodology.