Regenerative Microclimate Scorecard, Cork

CCAE · Nano Nagle Place, Douglas Street · baseline vs. tree-canopy intervention
AT6012 infrared.city SDK 0.4.9 UTCI · Wind · Solar ~800 m site live API result
↔ Compare: Marseille (Vieux-Port) ← Learning module

A larger Cork City study area centred on Nano Nagle Place (home of the Cork Centre for Architectural Education) on Douglas Street. The same workflow as the Marseille demo runs three microclimate analyses over the block and compares a baseline against a tree-canopy intervention.

Workflow

1 · SITE GeoJSON polygon Nano Nagle 2 · FETCH LAYERS (SDK) client.buildings.get_area() client.weather.get_weather_file() client.vegetation.get_area() · trees 3 · run_area_and_wait() UTCI · thermal comfort Wind · wind-speed Solar · direct-sun-hours × baseline & intervention · tiled, polled, merged 4 · RESULT AreaResult .merged_grid (NumPy) 5 · SCORE & COMPARE regenerative_metrics heat-stress % · TACI Scorecard figure + Δ deltas
4,608
buildings (context geometry)
2,787
trees (intervention layer)
~800 m
study area (≈24 tiles/scenario)
Cork microclimate scorecard: baseline vs intervention across UTCI, wind, and solar
Rows: baseline (buildings only) vs. intervention (+ tree canopy). Columns: UTCI thermal comfort, wind speed, direct sun hours, Nano Nagle Place, Cork.

Thermal comfort (UTCI)

MetricBaseline+ TreesChange
Mean UTCI15.6°C15.2°C−0.4°C cooler
Comfortable area (9,26°C)100%100%no change
Heat-stress area (UTCI>26°C)0%0%0 (mild climate)
Thermal-zone diversity (Shannon)1.181.27+7.6%

Cork's maritime climate is already fully comfortable in the August window, so there is no heat stress to relieve, the regenerative signal shows up elsewhere: adding the 2,787-tree canopy cools mean UTCI by 0.4 °C and raises thermal-zone diversity (+7.6%), creating more varied microclimate niches. Wind speed was unchanged by the canopy at this resolution, and the canopy shaded enough cells to lower direct-sun-hours coverage, a visible shading effect rather than a comfort one. This is the instructive contrast with Marseille, where the same workflow targets heat-stress reduction.

Method

One run_area_and_wait() call per analysis over the Cork polygon. Buildings and weather are injected for all runs (thermal-comfort requires geometry); vegetation is injected only for the intervention. Outputs are merged NumPy grids scored by regenerative_metrics.py (UTCI bands, heat-stress %, Alberti assembly index). Weather is drawn from the nearest EPW station to Cork.

Note. Cork's maritime climate is far milder than Marseille, so expect lower absolute heat-stress; the regenerative signal is the direction and magnitude of change when canopy is added.