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climate-model-downscaling

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Translating coarse global climate projections to local scales — dynamical vs statistical downscaling, bias correction, and added value.

skills/climate-model-downscaling/SKILL.md

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## Overview

Global climate models run at ~100 km resolution — too coarse for a
watershed, a city, or a farm. Downscaling bridges that gap. This skill
covers the two families (dynamical: regional climate models; statistical:
empirical relationships), bias-correction methods, how to judge whether
downscaling actually adds value, and the uncertainty cascade from GCM to
local impact.

## When to use

- Producing local climate projections for adaptation planning, hydrology, or agriculture
- Deciding between dynamical and statistical downscaling for a project
- Bias-correcting model output before feeding impact models
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