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What is the spatial resolution of your data?

There’s no better way to show the true spatial resolution of the data than with a map.

 

These two detailed flood maps show the examples of our data in 90 meter resolution. We can provide the same level of granularity for each of your properties, as well as for any asset or any company.

 

Our data has global coverage.

 

We offer hazard maps across the full spectrum of climate risks, not just flooding.

 

The red dot identifies the exact location of the asset of interest: manufacturing site, farm, datacenter or office building.

 

As you can see, in some locations, buildings face potential physical damage; in others, flood-prone areas sit just a few blocks away; elsewhere, the flood prone area is 1-5 km from the property. Important to note: all of these facilities could face major business interruptions when such floods occur. Floods cause labor unavailability, major power blackouts, water shutoffs, and the closure of roads and all public transportation.

 

Figure: Flood risk assessment in 90-meter resolution, based on historical data. 100-year return period. Colors: flood depth [meters].

 

The red marker indicates the location of interest, and the red circle defines a 1-km area around where the risk score is calculated. Flood risk is material for both assets. 

 

This is not short-term weather forecasting. Climate models can't say the exact day a flood will happen, but models do know these floods have happened before and will happen again. Without awareness and preparation, you may have only hours to pack and evacuate when local authorities announce: it’s TODAY. No adaptation or mitigation action can be implemented in the 24 hours before a flood or wildfire; those measures take months or years. That’s why high-resolution, high-quality climate data matters: it’s useful when you still have time to prepare.

 

The answer to this important question about spatial resolution is supported by the map visualization: we work with high-resolution data.