🌍 Environment, Climate & Water · Deployment · Pro
Climate Risk Analytics Deployment
Where a climate risk analytics service runs: climate datasets, geospatial processing on a compute cluster, and an API that scores assets for flood and heat risk.
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Drawing diagram…
What this diagram shows
- Large climate datasets stay in cloud object storage
- Geospatial jobs run on an autoscaling Dask cluster
- Banks and insurers query risk scores by API
Prompt used
Deployment for climate risk analytics on Azure: climate model outputs (CMIP6), flood maps and satellite data are stored in Azure Blob Storage in Zarr format. A Dask cluster on AKS computes hazard indicators for each location. Results go to a PostGIS database. A risk API on AKS scores customer assets for flood, heat and cyclone risk, used by bank and insurer systems and a map dashboard.
Mermaid code
flowchart TB
CL[Bank and Insurer Systems] --> API
USR[Analysts] --> DASH
subgraph AZ[Azure]
BLOB[(Blob Storage - CMIP6, flood maps, satellite, Zarr)]
subgraph AKS[AKS Cluster]
API[Risk Scoring API]
DASH[Map Dashboard]
subgraph DASKC[Dask Cluster - autoscaling]
SCH[Scheduler]
W[Workers x20]
end
end
PG[(PostGIS - hazard indicators)]
end
SCH --> W
W --> BLOB
W --> PG
API --> PG
DASH --> APIRelated templates
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