CONTENTS
Downscaling is the process of translating coarse global climate model output into finer, local-scale information so that projections are meaningful at the level of an individual asset.
Example in context
You're reviewing climate data for one building. Raw global models work at scales of tens of kilometres — too coarse for a single site. Downscaling turns that information into a usable, site-specific risk estimate that you can underwrite.
Why it matters
Without downscaling, projections are too coarse for investment or insurance decisions, and their credibility is limited. EarthScan combines downscaling with bias correction to provide asset-level accuracy.
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FAQ
Why is downscaling needed for climate risk?
Global models are too coarse for an individual asset. Downscaling refines their output to a usable local scale.
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