Overview
Verdex integrates real-time climate data to assess location-specific risks and opportunities for project sites. This enables developers to demonstrate climate resilience to DFIs and positions projects for TCFD-aligned climate disclosure.
Data Sources
Verdex uses Open-Meteo APIs for climate data—a free, open-source weather API with global coverage:
| API | Endpoint | Data Type | Coverage |
|---|---|---|---|
| Historical Archive | api.open-meteo.com/v1/archive | 10-year daily weather data | Global |
| Climate Projections | climate-api.open-meteo.com/v1/climate | CMIP6 model projections | Global |
Historical Climate Data
For each project location, Verdex retrieves 10-year historical averages:
Mean annual temperature over 10-year period
Total annual rainfall average
Days exceeding 35°C annually
Months with <60mm precipitation
Climate Projections (CMIP6)
Verdex provides future climate projections using CMIP6 SSP scenarios for 2030 and 2050:
| Scenario | Description | Temp Rise by 2100 | Use Case |
|---|---|---|---|
| SSP1-2.6 | Sustainable development, low emissions | +1.8°C | Best case planning |
| SSP2-4.5 | Middle of the road | +2.7°C | Central planning scenario |
| SSP5-8.5 | High emissions, fossil fuel development | +4.4°C | Stress testing |
Projection Outputs
Site Intelligence
Beyond raw data, Verdex generates actionable site intelligence tailored to the project sector:
| Intelligence | Description | Sectors |
|---|---|---|
| Optimal Operating Months | Best months for construction/operations | All |
| Water Availability | Abundant, moderate, or scarce classification | All |
| Solar Potential | kWh/m²/day average irradiance | Energy |
| Agricultural Suitability | Growing season, irrigation needs | Agriculture |
AI-Generated Key Insights
When users view the Climate Profile modal, Verdex generates AI-powered insights using the ASI1 Mini model:
API Integration
Climate intelligence is available via two API endpoints:
POST /api/location-risk
// Request
{
"country": "kenya",
"sector": "energy",
"city": "Nairobi" // Optional, defaults to capital
}
// Response
{
"coordinates": {
"latitude": -1.2921,
"longitude": 36.8219,
"locationName": "Nairobi, Kenya"
},
"historicalData": {
"averageTemperature": 19.2,
"annualPrecipitation": 958,
"extremeHeatDays": 12,
"drySeasonMonths": [1, 2, 7, 8, 9],
"droughtRisk": "medium",
"floodRisk": "medium"
},
"projections": [
{
"scenario": "SSP2-4.5",
"year": 2050,
"temperatureChange": 1.8,
"precipitationChange": -5
}
],
"siteIntelligence": {
"optimalOperatingMonths": [3, 4, 5, 10, 11, 12],
"waterAvailability": "moderate",
"solarPotential": 5.4
},
"keyInsights": [...],
"dataSource": "open-meteo"
}POST /api/location-insight
// Request
{
"sector": "energy",
"country": "kenya",
"locationName": "Nairobi",
"historicalData": {...},
"siteIntelligence": {...},
"projections": [...],
"projectName": "Nairobi Solar Farm",
"projectDescription": "50MW utility-scale solar PV"
}
// Response
{
"success": true,
"insights": {
"projectContext": "This solar project benefits from Kenya's equatorial location with consistent 5.4 kWh/m²/day irradiance.",
"recommendations": [
{ "text": "Install automated panel cleaning for dust management", "priority": "high" },
{ "text": "Consider battery storage for grid stability", "priority": "medium" }
],
"keyRisk": {
"headline": "Moderate flood risk in April-May",
"mitigation": "Elevate inverter stations above flood level"
},
"opportunity": {
"headline": "Excellent solar irradiance year-round",
"detail": "5.4 kWh/m²/day exceeds global average by 25%"
}
},
"provider": "asi1"
}Resilience Framing, Not Risk Labeling
Verdex presents climate data as “Climate Resilience Profile”—not “Climate Risk Assessment.” This positive framing emphasizes that projects are designed for African climate conditions, demonstrating to DFIs that developers have proactively addressed physical risks.