By 2050, Delhi
could lose up to $31B
to extreme heat every year.
OpenPlanet translates climate science into numbers any city planner, investor, or researcher can act on.
Estimates · Gasparrini (2017) · CMIP6 · Burke (2018) · ±15% CI
49.2°C
Peak temperature
~14,200
Est. Heat Deaths
68d
Heatwave days / yr
Type any city.
Get the real numbers.
Enter a city — Delhi, Phoenix, Lagos, anywhere — and within seconds you see projected heatwave days, peak temperatures, economic losses, and estimated mortality for 2030 through 2100.
You can then pull two cities side by side, adjust tree cover or cool roofs to see what intervention saves, or export the full calculation to Excel with every formula intact.
Data sources: ERA5 reanalysis · CMIP6 ensemble (Open-Meteo) · World Bank GDP & mortality · GeoNames population · Gasparrini (2017) mortality model · Burke (2018) economics model
City Risk Map
Interactive hex-grid heatmap. Visualise thermal exposure at neighbourhood scale.
Deep Dive Analysis
Survivability timeline, climate debt, adaptation ROI — all from real CMIP6 data.
City vs City Compare
Side-by-side metrics for any two cities. Same formula, transparent math.
Excel Audit Export
4-sheet model with live formulas. Every number traceable to its source.
Built for people who make decisions about places.
City Planners & Policy
- →Which neighbourhoods cross 35°C wet-bulb first?
- →How many cooling centres do we need by 2040?
- →What does +20% tree cover actually buy us?
Climate Researchers
- →Full audit trail — every formula, every source.
- →Exportable Excel model for peer review.
- →Gasparrini (2017) + Burke (2018) + Stull (2011).
Investors & Risk Teams
- →GDP-at-risk by city and scenario year.
- →NPV climate debt 2030–2100.
- →SSP2-4.5 and SSP5-8.5 side by side.
8,000+
Cities Modelled
4
Climate Scenarios
2100
End-Century Coverage
±15%
Mortality CI
All projections are research-grade estimates for analytical purposes only. Not investment advice. Not a deterministic forecast. Mortality estimates carry ±15% CI · Economic estimates carry ±8% CI.
Every number has a source.
No black boxes.
When you see a "$31 Billion economic loss" estimate, you can click into the calculation and see exactly which formula produced it, which variables were used, and which peer-reviewed paper each constant came from.
The Excel export contains four sheets: a plain-language README, an editable control panel, the full mathematical engine, and a complete bibliography. Change any input — the outputs recalculate instantly.
β = 0.0801 · dose-response · GBD meta-analysis
T_optimal = 13°C · GDP penalty function
40% workforce · 20% productivity loss / heatwave day
Capped 35°C — Sherwood & Huber (2010) PNAS
2015–2050 live · 2075–2100 IPCC AR6 delta