products/climate futures
03 · Climate science

Climate Futures. Where the next storm lands.

Physics-based future-climate scenarios for places, assets, and extreme events. Edgion replays real high-impact storms under a warmer atmosphere on a 3 km adaptive-mesh ensemble, then traces how their rainfall, wind, and exposure footprints reorganise.

the science
3×10storms × warming members
36simulations per study
3 kmconvection-permitting mesh
+3.3 KSSP5-8.5 end-century
The question

Future storms are not just stronger. They land differently.

Future tropical-cyclone projections are usually summarised as stronger storms and heavier rain. Climate Futures asks the sharper, spatial question: under the same warming, where do different historical storms reorganise their rainfall and wind?

A single warmed storm cannot define a region's risk. Edgion runs a multi-storm storyline ensemble so the answer carries its own uncertainty.

The method

A real storm, re-run under a warmer atmosphere.

Each scenario replays an observed high-impact storm at 3 km convection-permitting resolution under a bias-corrected future-climate perturbation. Because the historical pathway is held fixed, the difference between the historical run and the warming run isolates the climate signal, with explicit, repeatable assumptions.

// STORYLINE ENSEMBLE DESIGN3 storms · 10 members · 36 runs
Storyline ensemble design: three historical storm tracks on a variable-resolution adaptive mesh, with the future-climate temperature, moisture, and humidity perturbation profiles.
Three observed storms on a 96 to 3 km adaptive mesh (55 levels, 848,900 cells); historical and warming controls plus a 10-member warming ensemble per storm.
The finding

Added rainfall is not a single multiplier.

Across storms and members, the heaviest rainfall does not scale by one number. The 99th-percentile response ranges from 0.63× to 1.83× the simple thermodynamic reference: under the same warming, one storm intensifies and pushes its heavy rain inland, one actually falls below the simple reference, and one opens a new coastal extreme-rain zone where there was none.

// 48 H RAINFALL · ENSEMBLE MEANvs thermodynamic reference 1.0×
Mangkhut 2018 ensemble-mean 48 hour rainfall under warming. Hato 2017 ensemble-mean 48 hour rainfall under warming. Hagupit 2008 ensemble-mean 48 hour rainfall under warming.
48 h rainfall, ensemble mean (mm)
Rainfall colour scale, 0 to 700 mm.
025100200400700
Mangkhut 20181.83×heavy rain intensifies and shifts inland
Hato 20170.63×falls below the thermodynamic reference
Hagupit 20081.51×opens a new coastal extreme-rain zone
Ensemble-mean 48 h rainfall · CPAS 3 km. × = 99th-percentile response vs the thermodynamic (Clausius–Clapeyron) reference of 1.0×.
Stress test

Each replay becomes an event-scale hazard stress test.

Wind footprints broaden on a separate pathway (high-wind area up +5 to +14% at storm-force, +10 to +22% at hurricane-force), and flash-flood zones expand and move. Together the storylines form a multi-storm event set: where heavy rain expands, where damaging winds shift, and which areas enter the future hazard footprint.

// FLASH-FLOOD ZONES · HIST vs WARMINGnew ≥50 mm/hr zone vs existing
Mangkhut 2018 flash-flood zones, historical versus warming ensemble. Hato 2017 flash-flood zones, historical versus warming ensemble. Hagupit 2008 flash-flood zones, historical versus warming ensemble.
Existing ≥50 mm/hr zone · historical Future ≥50 mm/hr zone · warming ensemble
Fraction of warming members crossing ≥50 mm/hr
Member-fraction colour scale, 0.3 to 1.0.
0.31.0
Mangkhut 201881,614km²new flash-flood zone opens inland
Hato 201792,595km²largest new flood footprint of the three
Hagupit 200826,830km²concentrated coastal expansion
Land-masked flash-flood zones · CPAS 3 km. New-zone area is where the warming ensemble crosses the ≥50 mm/hr threshold beyond the historical footprint.
Where it is used

Bespoke scenarios for places, assets, and extremes.

Design basisFuture-climate hazard levels for a specific site, asset, or design code, with documented horizon and assumptions.
Exposure stress testCounterfactual storyline runs that show how today's exposure would fare under a warmer comparable event.
Evidence packsThe same simulations packaged into the Climate Evidence Pack for review-ready design and financing decisions.

// note: these are physics-based storyline stress tests, not forecasts that the same storms will recur. Public figures are illustrative; they show how past events could reorganise under warming, and are counterfactual tests on present-day exposure rather than predictions of specific future storms.