Climate Intelligence Engine

Capabilities

| # | Capability | Input | Output | |---|-----------|-------|--------| | 1 | Emissions Dashboard | Country / sector / scope | CO2/CH4 emissions (absolute, per-capita, intensity), trend analysis, carbon budget remaining | | 2 | Renewable Energy Tracker | Technology + region | Installed capacity (GW), capacity factor, LCOE trajectory, investment flows, pipeline projects | | 3 | Carbon Market Monitor | Market (EU ETS / China ETS / voluntary) | Spot price, futures curve, auction clearing, market coverage, policy changes | | 4 | Physical Climate Risk Assessment | Location / asset / sector | Hazard exposure (flood, heat, drought, wildfire), return periods, adaptation cost estimates | | 5 | Climate Policy Comparator | Countries + policy area | NDC ambition, net-zero target year, implementation status, policy instrument mix, effectiveness evidence | | 6 | ESG Disclosure Navigator | Jurisdiction + company size | Applicable frameworks (ISSB, CSRD, SEC), reporting deadlines, materiality requirements, assurance standards | | 7 | Climate Finance Intelligence | Instrument type + region | Issuance volumes, pricing (greenium), use-of-proceeds, taxonomy alignment, fund flow trends | | 8 | Climate Tech Innovation Radar | Technology + TRL range | Technology readiness, cost curve, key players, funding rounds, deployment milestones, scalability assessment | | 9 | Extreme Weather Attribution | Event + location | Attribution confidence, return period shift, climate vs. natural variability, economic damage estimates | | 10 | Net-Zero Progress Tracker | Entity (country / company) | Target year, interim milestones, emissions trajectory vs. pathway, credibility assessment |

Workflow

User Query
  │
  ├─ [Step 1] Classify → domain (9 climate domains) + geography + time horizon + analysis depth
  │
  ├─ [Step 2] Source routing:
  │   └─ Scientific: IPCC, NASA, NOAA, Copernicus, Global Carbon Project
  │   └─ Energy: IEA, IRENA, BloombergNEF
  │   └─ Policy: UNFCCC, Climate Action Tracker, WRI
  │   └─ Markets/ESG: CDP, MSCI ESG, Carbon Brief
  │
  ├─ [Step 3] Multi-source retrieval + cross-validation
  │
  ├─ [Step 4] Apply domain-specific analytics:
  │   └─ Emissions: carbon budget math, sectoral decomposition
  │   └─ Energy: LCOE comparison, learning rate projections
  │   └─ Policy: ambition gap analysis (NDCs vs. 1.5°C/2°C pathways)
  │   └─ Risk: hazard × exposure × vulnerability framework
  │
  ├─ [Step 5] Structured output with data vintage, source URLs, confidence levels
  │
  └─ [Step 6] Uncertainty disclosure: model ranges, scenario assumptions, data gaps

Output Formats

Country Emissions Profile

| Metric | Value | Year | Global Rank | Trend (5Y) | |--------|-------|------|-------------|------------| | Total CO2 (Gt) | | | | ↑↓→ | | Per-capita CO2 (t) | | | | | | CO2 intensity (kg/$GDP) | | | | | | Methane (MtCO2e) | | | | | | Cumulative historical (%) | | | | | | NDC target | | | | | | Net-zero target year | | | | |

Carbon Market Dashboard

| Market | Spot Price | 1Y Range | Coverage (% emissions) | Market Stability Mechanism | Key Reform | |--------|-----------|----------|------------------------|---------------------------|------------| | EU ETS | €XX | €XX-XX | ~36% | MSR | CBAM phase-in | | China ETS | ¥XX | ¥XX-XX | ~40% | None yet | Expansion to sectors | | UK ETS | £XX | £XX-XX | ~28% | Cost Containment | Link to EU? |

Climate Risk Heatmap

| Hazard | Location | Current Probability | 2050 Projection (RCP 4.5) | 2050 Projection (RCP 8.5) | Adaptation Options | |--------|----------|---------------------|---------------------------|---------------------------|-------------------| | Coastal flood | | 1-in-X year | | | | | Extreme heat | | X days >35°C | | | | | Drought | | SPI index | | | |

Usage Guidelines

1. Scenario transparency — always specify RCP/SSP scenario (e.g., RCP 4.5, SSP2-4.5) for projections
2. Data vintage mandatory — climate data evolves rapidly; flag any data point >6 months old
3. Uncertainty communication — report ranges, not point estimates, for projections; cite model ensemble spread
4. Policy neutrality — present data and analysis; avoid advocacy language
5. Multi-language — search and summarize across English, Chinese, French, Spanish, German, Japanese, Arabic
6. Scientific integrity — distinguish between IPCC consensus (high confidence), emerging research, and advocacy positions

Examples

Example 1: Country Emissions Deep-Dive

User: "Analyze India's emissions trajectory and net-zero credibility" Output: Historical emissions profile, sectoral breakdown (power, industry, transport, agriculture), NDC ambition vs. fair-share benchmarks, renewable deployment rate vs. required pathway, credibility scorecard.

Example 2: Carbon Market Comparison

User: "Compare EU ETS and China ETS — which is more effective?" Output: Side-by-side dashboard (price, coverage, cap trajectory, offset rules, MRV rigor, market stability mechanisms); effectiveness assessment based on emissions reduction in covered sectors.

Example 3: Climate Tech Scan

User: "What's the state of direct air capture (DAC) technology in 2026?" Output: Technology primer, current global capacity (ktCO2/year), cost ($/tCO2) and learning rate, key players (Climeworks, Carbon Engineering, Heirloom), funding (DOE hubs, Frontier buyers club), scalability bottlenecks, 2030 projection.

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Data Base: references/climate_sources.json — 15 authoritative sources, 9 climate domains, emissions ranking, Paris Agreement timeline. Last Updated: June 2026 Free Tier: Available. This skill aggregates public climate data; no proprietary satellite or commercial data accessed. （内容由AI生成，仅供参考）