A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
-
Updated
Jul 15, 2023
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).
This collection of examples analyzes, models, and forecasts the volatility associated with a collection of soft commodities.
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
Adaptive Action Intelligence (AAI): Turning Climate Early Warning into Coordinated Early Action through AI-powered operational decision support.
Interactive global wildfire atlas with historic incident replay, source-backed perimeters, wind, exposure, and a realistic rotatable Earth.
A strategic consulting suite that bridges Finance and Sustainability. Features include Monte Carlo simulations for Carbon Tax risk, real time Green Premium tracking for chemical solvents, satellite based solar feasibility studies, and NLP driven governance audits.
Measuring climate risk with Google Trends
Open-source GHG emissions calculator covering Scope 1, 2 & 3 — GHG Protocol aligned, BRSR Principle 6 ready, with Net Zero scenario modelling. Built for Indian companies.
EN: How coastal erosion risk discounts UK property prices — ML analysis (Random Forest & XGBoost) on 1.7M transactions with spatial risk data. | 中文:海岸侵蚀风险如何折价英国房产——基于170万条交易与空间风险数据的机器学习分析。
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.
Add a description, image, and links to the climate-risk topic page so that developers can more easily learn about it.
To associate your repository with the climate-risk topic, visit your repo's landing page and select "manage topics."