climate-risk

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

OpenSustainabilityAnalyst ReportAnalyst is an open-source / open-core framework for customizable research-driven end-to-end sustainability report analysis with AI

An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.

A distributed hydrology-guided neural network model for streamflow prediction

A reproducible framework for investigating how compound drought–heat extremes influence urban water resilience, integrating climate hazards, hydrological dynamics, and socioeconomic water system responses.

An open-source platform for modeling systemic climate transition risks in financial systems. Developed by CFA Institute RPC & UK CGFI

CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies.

Official Python implementation of the Pioneer Detection Method (PDM) — convergence-based expert aggregation and opinion pooling under structural change. Code for Vansteenberghe (2026), The Geneva Papers 51(1).

Asset-level wildfire exposure intelligence for Mediterranean WUI — structural + event-context risk scoring, 4-event LOEO validation, LightGBM + SHAP

Climate physical-risk analysis, hands-on. Jupyter notebooks for the Alpha-Klima platform API - hazard screening, asset-level impact, real-estate portfolios, and bank Pillar 3 / ECB pipelines.

Physical climate risk financial valuation

This collection of examples analyzes, models, and forecasts the volatility associated with a collection of soft commodities.

Adaptive Action Intelligence (AAI): Turning Climate Early Warning into Coordinated Early Action through AI-powered operational decision support.

Desafio Quant AI Itaú Asset 2026 - SERIEMA. Estratégia long/short cross-seccional de ações do agro na B3 dirigida por choque climático point-in-time. Rodada única selada: houve sinal e P&L fora da amostra, não houve evidência de alpha.

Moody's — independent third-party profile of a public API surface, by API Evangelist. Moody's provides a comprehensive suite of APIs spanning KYC compliance, economic data and forecasting, credit risk analytics, insurance and catastrophe modeling, climate risk, commercial real estate, and news aggregation.

Transparent scenario-based systemic-risk model comparing 23 interacting global threats across civilizational, biospheric, and technological domains, using structured JSON data as its primary input source.

Measuring climate risk with Google Trends

CCART is a country-agnostic physical climate risk framework. India is the reference implementation. The architecture is designed so that any country can be added by providing local boundary files and climate data

End-to-end climate-health risk intelligence platform combining weather, air-quality, fire, and mortality data with dbt, PostgreSQL, ML alert ranking, and Dash.

Remote-sensing analysis using CHIRPS rainfall and Sentinel-2 NDVI to identify drought-stress priority areas across Kenya in 2023.