Urban Heat Reduction Calculator — Trees, Shade & Green Roofs

Friendly planning estimates at pedestrian height. Private by design — runs locally in your browser.

Inputs

Advanced (editable coefficients)

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.

Results

What’s Being Estimated?

  • Near-surface air temperature: simple additive model of cooling from canopy/shade, green roofs, and albedo within your site.
  • Paved surface & MRT: indicative changes in pavement surface temperature and mean radiant temperature from extra shade and reflectance.
  • Context factor: optional multiplier for local wind/urban form that can dampen or amplify perceived cooling.

Tips

  • Prioritize shade where people are (paths, stops, playgrounds). Shade strongly reduces radiant heat load.
  • Combine strategies: trees + high-albedo paving + pockets of green roof can be more effective than one alone.
  • Use the Advanced section to align coefficients with any local study or pilot monitoring.

How This Urban Heat Reduction Calculator Works (Equations & Assumptions)

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.

Key Inputs and Symbols

  • A = site area (m²)
  • Pₙₑw = proposed paved area (m²)
  • R = total roof area (m²)
  • T₍base₎ = baseline near-surface air temperature (°C)
  • C₍now₎, C₍new₎ = tree canopy as percent of site
  • S₍now₎, S₍new₎ = shaded paved area as percent of paved
  • α₍now₎, α₍new₎ = paved albedo (0–1)
  • G₍now₎, G₍new₎ = green roof as percent of total roof
  • ctx = context multiplier (open/breezy less than 1, dense more than 1)

Convenience Fractions

  • f₍paved₎ = Pₙₑw ÷ A (paved share of site)
  • f₍roof₎ = R ÷ A (roof share of site)

Editable Coefficients (Defaults)

  • k₍canopy,10₎ = 0.20 °C cooling per +10 % canopy (of site)
  • k₍shade,10₎ = 0.15 °C cooling per +10 % shaded paved (of paved)
  • k₍green,10₎ = 0.05 °C cooling per +10 % green roof (of roof), scaled by f₍roof₎
  • k₍alb,0.10₎ = 0.10 °C cooling per +0.10 albedo on paved, scaled by f₍paved₎
  • Surface/mRT indicators: k₍surf,shade,10₎ = 15 °C, k₍surf,alb,0.10₎ = 6 °C, k₍mrt,shade,10₎ = 4 °C

These are planning heuristics. Urban form, wind, humidity, irrigation, species, soil depth, and maintenance can shift real outcomes.

Core Deltas

  • ΔC = C₍new₎ − C₍now₎ (percentage points)
  • ΔS = S₍new₎ − S₍now₎ (percentage points of paved)
  • ΔG = G₍new₎ − G₍now₎ (percentage points of roof)
  • Δα = α₍new₎ − α₍now₎ (0–1)

Equations (Air Temperature, °C)

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
  

Surface and Mean Radiant Temperature Indicators (°C)

Paved surface (indicative): ΔT_surface = − [15 × (ΔS ÷ 10) + 6 × (Δα ÷ 0.10)]
Mean radiant temperature:   ΔT_MRT     = − [4 × (ΔS ÷ 10)]
  

Unit Conversions

  • Imperial areas are converted internally to metric: 1 m² = 10.7639 ft²
  • Temperature conversions: °C = (°F − 32) ÷ 1.8, and °F = (°C × 1.8) + 32

Worked Example (Awareness-Level)

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.

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