Model Catalog

Economic, climate, combined, and multi-dimensional models available for scenario analysis and integration. Each model entry documents scope, projection horizon, key dimensions, and industry-specific calibration.

3
Economic models
4
Climate models
3
Combined models
1
Multi-dimensional
11
Total models
Economic Macro & Policy Transmission Models 3 models

Model growth, inflation, investment, and policy transmission across industries. Use these to understand the macro environment, financing conditions, and how monetary or fiscal policy affects sector-level capital allocation and decarbonisation timelines.

Climate Physical Climate & Hazard Models 4 models

Quantify physical climate hazards — temperature, precipitation extremes, sea-level rise, tropical cyclone intensity — and translate them into sector and asset-level risk. Span from near-term observational anchors (ERA5) to 2100-horizon ensemble projections (CMIP6, GFDL).

Climate Active
CMIP6 Core Ensemble
Multi-model climate ensemble backbone for scenario-conditioned physical risk.
2025–2100 Global (50–100 km grid) Grid-cell physical hazard; sector via a…
Temperature anomaly Precipitation extremes Sea-level rise Tropical cyclone intensity Carbon budget trajectories +2 more
Hazard
0.69
Transition
0.57
Resilience
0.48
Confidence
0.77
Best for: long-run scenario diversity and physical risk framing
Climate Active
ERA5-Calibrated Climate Baseline
Observed-state anchored climate profile for calibration-heavy use cases.
1940–2025 (historical); 2025–2030 near-term Global (~31 km reanalysis grid) Sub-daily observed state; facility-leve…
Observed warming trend Precipitation variability Extreme event frequency Wind & solar resource Drought & flood indices +1 more
Hazard
0.62
Transition
0.49
Resilience
0.54
Confidence
0.73
Best for: historical calibration and near-term climate-state anchoring
Climate Active
NOAA GFDL Physical Risk Lens
NOAA's process-based earth system models (CM4 and ESM4) — the physical process credibility anchor in CE's climate model library. Uniquely strong in coupled ocean-atmosphere dynamics (tropical cyclone intensification, storm surge), high-resolution hydrology (river discharge, groundwater recharge, drought intensity), and ice-sheet-informed sea level rise projections beyond 2050. CE uses GFDL to constrain CMIP6 ensemble tails and validate compound event probabilities — the reference model for insurance catastrophe tail calibration and long-duration infrastructure asset risk in hydrology-sensitive sectors and coastal geographies.
2025–2100 Global (high-resolution ocean-atmo… Process-level earth system; sector via …
Tropical cyclone intensity Compound multi-hazard events Hydrological cycle Sea-level rise (ice dynamics) Ocean heat content +2 more
Hazard
0.74
Transition
0.52
Resilience
0.44
Confidence
0.75
Best for: hydrology, coupled earth-system dynamics, and process credibility
Climate Active
CE Physical Hazard Cascade Model
CE's model for compound and cascading physical climate hazard risk — filling the gap between single-hazard probability models (CMIP6, ERA5, GFDL) and full combined climate-economy synthesis. Quantifies how co-occurring or sequentially triggered hazard events (drought + wildfire + heat; flood + infrastructure failure + insurance retreat) compound each other's economic impacts through non-linear mechanisms. Essential for sectors and geographies where compound event exposure is the dominant physical risk driver.
2025–2060 Global with regional cascade pathw… Sector-level with geographic cascade pa…
Cascade Index — compounded multi-hazard loss amplification factor Compound event probability — joint probability of co-occurring hazards Recovery compression — how prior events reduce recovery capacity for subsequent events Physical fragility score — sector and infrastructure vulnerability to cascade initiation Hazard pair correlation matrix — which hazard combinations are positively correlated +2 more
Cascade Index
0.74
Compound Probability
0.62
Recovery Compression
0.79
Physical Fragility
0.68
Confidence
0.71
Best for: quantifying how simultaneous and sequential multi-hazard climate events produce losses that exceed the sum of individual events — compound physical risk for portfolio stress testing
Combined Integrated Climate-Economy Synthesizers 3 models

Blend economic, physical climate, and transmission signals into a single integrated view. The Balanced Transition Synthesizer provides the base-case framework; the Stress Fragility Overlay provides the downside boundary condition for portfolio stress testing.

Combined Active
CE Balanced Transition Synthesizer
CE's primary combined model for investment-decision-grade sector analysis. Synthesizes physical climate hazard (IPCC AR6 WG2), economic transition risk (NGFS Phase 4), and sector transmission signals into industry-native composite scores — pressure, resilience, and opportunity — for six industry sectors. The default counterpart to the CE Solution Scale Model: where the scale model sizes the challenge, the Synthesizer navigates the response.
2025–2050 Global (sector-level synthesis) Industry-sector with company-level path…
Economic pressure Physical climate risk Transition pressure Transmission channels Sector resilience +2 more
Pressure
0.71
Resilience
0.56
Opportunity
0.74
Confidence
0.78
Best for: balanced climate-economy integration with transition and resilience weighting
Combined Active
CE Stress Fragility Overlay
CE's dedicated downside stress model for portfolio risk assessment under fragmented, delayed, or emergency climate transition scenarios. Applies stress-calibrated component fusion to quantify sector fragility — the compounded exposure of high transition pressure, low resilience, and elevated cross-sector contagion risk. Use this model as the downside boundary condition for stress testing; use the CE Balanced Transition Synthesizer for base-case positioning.
2025–2045 Global (sector-level stress) Industry-sector with fragility-weighted…
Stranded asset risk Policy fragmentation Cross-sector contagion Regulatory shock compression Insurance retreat risk +2 more
Pressure
0.82
Resilience
0.41
Opportunity
0.48
Confidence
0.73
Best for: stress scenarios where policy fragmentation and sector fragility dominate outcomes
Combined Active
CE Transition Opportunity Index
CE's dedicated model for quantifying which industries and companies stand to gain the most from the energy transition. Where the CE Balanced Transition Synthesizer measures risk-adjusted positioning and the CE Stress Fragility Overlay measures downside exposure, the Transition Opportunity Index focuses entirely on transition-driven value creation: clean manufacturing growth, critical minerals demand, adaptation services markets, and first-mover competitive advantage. The model completes the CE analytical framework — the other models tell you what to avoid; this tells you what to build.
2025–2040 Global with regional disaggregatio… Industry-sector and sub-sector level; c…
Clean technology manufacturing growth (solar, wind, batteries, electrolyzers) Critical minerals demand index (lithium, cobalt, nickel, copper, rare earths) Adaptation services demand (flood defense, water management, heat resilience infrastructure) Energy efficiency services market (retrofit, building management, industrial efficiency) Nature-based solutions and voluntary carbon market opportunity +2 more
Manufacturing Upside
0.78
Critical Minerals
0.82
Adaptation Demand
0.71
First Mover Premium
0.67
Net Opportunity
0.75
Confidence
0.74
Best for: identifying sectors and companies positioned to actively benefit from accelerated energy transition — the opportunity counterpart to the CE risk models