This project uses the outputs of runs of the Weather Research and Forecasting (WRF) Model to examine the connection between marine heatwaves in the Gulf and coastal temperatures and humidity in the Houston/Galveston Bay region.

This project supports urban heatwave risk assessment in Filipino cities by developing geospatial data products on heat vulnerability, air quality, and mobility impacts. It provides evidence and tools for Local Government Units (LGUs) to integrate heat risk into land use planning and climate resilience frameworks.

URban mitigation and adaptation strategies Gauging through Empirical functions and Data products

This project analyzes heatwave vulnerability and air quality in Kerala, India, using geospatial and environmental data. It examines land surface temperature, air pollution, and climate risk indicators in Kochi and Thiruvananthapuram to support evidence-based climate resilience planning for local governments.

URBADAPT-HEAT v1.0: a scalable geospatial framework for city-level public-private adaptation infrastructure cost-benefit analysis and its urban heat risk implementation

SPARC is a physics-constrained spatial machine-learning pipeline that trains an ensemble of geographically-weighted models, validates causal relationships via directed acyclic graphs (DAGs), and simulates "what-if" intervention scenarios with built-in uncertainty quantification. It is designed to be domain-agnostic.

Landsat-based analysis of urban heat and vegetation patterns across Manhattan neighborhoods.

Code supporting the study of heat-safe accessibility to services and cooling refuges across 36 Chinese cities.

This project develops geospatial data products to support urban heatwave risk assessment in Filipino cities. It maps historical heatwave occurrences, analyzes heat vulnerability using socio-demographic and air quality indicators, and tracks mobility changes during heatwave events to support land use planning and climate resilience policy.

Real-time urban heat risk scoring across 24 zones in 6 Indian cities — XGBoost, SHAP, Streamlit

Interactive planning evidence resource for Australian urban green structure, heat, and inequality, 1988-2024

Kinshasa Earth Observation data/analysis

🌳 Data pipeline analyzing shade impact on NYC neighborhood temperatures

Rethinking urban heat risk in Indian cities using temperature anomalies, census data, Global Forest Watch, and Yale climate opinion data

Blue-Green Infrastructure Potential. This repository contains the computational workflow used to estimate, uncertainty analyze, classify, and visualize citywide blue-green infrastructure (BGI) potential across major U.S. cities. It accompanies the manuscript Ranking the aggregate potential for blue-green infrastructure in U.S. cities.

Code and lightweight derived outputs for synchronized warm-season urban hot nights and atmospheric circulation