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.
49.2°C
Peak Temperature
Illustrative · SSP5-8.5 · CMIP6 · 2050
~14,200
Est. Heat Deaths
Illustrative · Gasparrini 2017 · ±15% CI
68d
Heatwave Days / yr
Illustrative · Days above P95 · CMIP6
Copernicus C3S ERA5 · CMIP6 · Gasparrini 2017 · Burke 2018 · UNDRR · Climatebase
How it works
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 and 2050.
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.
ERA5 reanalysis · CMIP6 ensemble (Open-Meteo) · World Bank GDP & mortality · Gasparrini (2017) · Burke (2018)
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.
Who uses OpenPlanet
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 2030–2050.
- —SSP2-4.5 and SSP5-8.5 side by side.
Any
Global Coordinate
4
Climate Scenarios
2050
Validated Horizon
±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.
Transparent science
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.
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 validated CMIP6 · horizon capped at 2050
Free · No account required
What is the heat risk
in your city?
Research-grade analysis in seconds. Free to explore, no account required.
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.
Peak Temperature
Illustrative · SSP5-8.5 · CMIP6 · 2050
49.2°C
Est. Heat Deaths
Illustrative · Gasparrini 2017 · ±15% CI
~14,200
Heatwave Days / yr
Illustrative · Above P95 · CMIP6
68d
Copernicus C3S ERA5 · CMIP6 · Gasparrini 2017 · Burke 2018 · UNDRR
How it works
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 and 2050.
Pull two cities side by side, adjust tree cover or cool roofs to see what intervention saves, or export the full calculation to Excel.
ERA5 reanalysis · CMIP6 ensemble · World Bank GDP · Gasparrini (2017) · Burke (2018)
City Risk Map
Interactive hex-grid heatmap at neighbourhood scale.
Deep Dive Analysis
Survivability timeline, climate debt, adaptation ROI.
City vs City Compare
Side-by-side metrics for any two cities. Transparent math.
Excel Audit Export
4-sheet model with live formulas, every number sourced.
Who uses OpenPlanet
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 2030–2050.
- —SSP2-4.5 and SSP5-8.5 side by side.
Any
Global Coordinate
4
Climate Scenarios
2050
Validated Horizon
±15%
Mortality CI
All projections are research-grade estimates for analytical purposes only. Not investment advice. Mortality ±15% CI · Economic ±8% CI.
Transparent science
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 peer-reviewed paper each constant came from.
Lancet Planetary Health
β = 0.0801 · dose-response · GBD meta-analysis
Nature
T_optimal = 13°C · GDP penalty function
Working on a Warmer Planet
40% workforce · 20% productivity per heatwave day
J. Applied Meteorology
Capped 35°C — Sherwood & Huber (2010) PNAS
ERA5 + MRI/MPI ensemble
2015–2050 validated CMIP6 · horizon capped 2050
Free · No account required
What is the heat risk
in your city?
Research-grade analysis in seconds. Free to explore, no account required.
Disclaimer
OpenPlanet is a computational estimation engine based on global meta-analyses (Gasparrini 2017, Burke 2018). Designed for directional risk visualization and strategic planning, not localized actuarial or medical forecasting.