Trees sweat like athletes
A mature street tree can transpire 300–500 litres on a hot day, wicking away several kilowatt-hours of heat through evaporative cooling—nature’s evaporative chiller.
These coefficients are simple heuristics intended for scenario sketching. Adjust to match local studies or monitoring.
Awareness-level estimator only. Real cooling depends on weather, irrigation, species, soils, roof build-ups, ventilation, and maintenance.
This tool provides an awareness-level estimate of cooling at pedestrian height from increased tree canopy, shade, green roofs, and higher-albedo paving on a site. It uses a simple additive model with editable coefficients so you can align numbers with local studies. The output is not a certification or a microclimate simulation—treat it as a quick way to compare scenarios and understand the general effect of urban greening strategies.
These are planning heuristics. Urban form, wind, humidity, irrigation, species, soil depth, and maintenance can shift real outcomes.
Cooling contributions are calculated individually and then summed. A negative sign is applied so that “cooling” shows as a temperature reduction (negative ΔT).
Tree canopy: ΔT_canopy = k_canopy,10 × (ΔC ÷ 10) × ctx Shaded paving: ΔT_shade = k_shade,10 × (ΔS ÷ 10) × ctx Green roofs: ΔT_green = k_green,10 × (ΔG ÷ 10) × f_roof × ctx Albedo on paving: ΔT_alb = k_alb,0.10 × (Δα ÷ 0.10) × f_paved × ctx Total air temperature change (°C): ΔT_air = − (ΔT_canopy + ΔT_shade + ΔT_green + ΔT_alb) Estimated air temperature: T_est = T_base + ΔT_air
Paved surface (indicative): ΔT_surface = − [15 × (ΔS ÷ 10) + 6 × (Δα ÷ 0.10)] Mean radiant temperature: ΔT_MRT = − [4 × (ΔS ÷ 10)]
Suppose A = 10,000 m², Pₙₑw = 5,000 m², R = 3,000 m², T₍base₎ = 35 °C, C₍now₎ = 20 %, C₍new₎ = 30 %, S₍now₎ = 10 %, S₍new₎ = 40 %, α₍now₎ = 0.15, α₍new₎ = 0.35, G₍now₎ = 0 %, G₍new₎ = 50 %, and ctx = 1.0. Then f₍paved₎ = 0.5, f₍roof₎ = 0.3, and the deltas are ΔC = 10, ΔS = 30, Δα = 0.20, ΔG = 50.
ΔT_canopy = 0.20 × (10 ÷ 10) × 1.0 = 0.20 °C ΔT_shade = 0.15 × (30 ÷ 10) × 1.0 = 0.45 °C ΔT_green = 0.05 × (50 ÷ 10) × 0.3 × 1.0 = 0.075 °C ΔT_alb = 0.10 × (0.20 ÷ 0.10) × 0.5 × 1.0 = 0.10 °C ΔT_air = − (0.20 + 0.45 + 0.075 + 0.10) = −0.825 °C T_est = 35.0 + (−0.825) ≈ 34.2 °C Surface indicator: ΔT_surface = − [15 × (30 ÷ 10) + 6 × (0.20 ÷ 0.10)] = − [45 + 12] = −57 °C MRT indicator: ΔT_MRT = − [4 × (30 ÷ 10)] = −12 °C
Limitations: These equations assume simple additive effects and a uniform context factor. Real cooling depends on wind, humidity, canyon geometry, vegetation type, irrigation, soil depth, and surface reflectivity. For design or compliance, refer to local climate data or validated urban microclimate models, and apply safety margins.
A mature street tree can transpire 300–500 litres on a hot day, wicking away several kilowatt-hours of heat through evaporative cooling—nature’s evaporative chiller.
Field trials in Phoenix found mean radiant temperature under dense canopy dropped by 15–20 °C, even when the actual air temperature only dipped a degree or two.
New York City’s CoolRoofs program coated 10+ million ft² of rooftops, lowering roof skin temperatures by up to 30 °F and letting rooftop HVAC units cycle less during heat waves.
Wind-tunnel studies in Singapore showed a single pocket park can cool adjacent streets by 1–1.5 °C for several hundred metres downwind as the cooler air plume drifts out.
Extensive green roofs can retain 50–80% of a summer storm, releasing it slowly via evapotranspiration—cooling rooftops while easing sewers during flash floods.