Author

Local Climate Trends was created by Ethan Coffel, a climate scientist at Syracuse University. This platform is designed to make high-quality climate data accessible and understandable for researchers, educators, policymakers, and the general public.

Data Source

Our analysis uses NOAA's nClimGrid dataset, which provides high-resolution, gridded climate data for the contiguous United States. This dataset is based on daily temperature and precipitation records from thousands of weather stations and spans from 1951 to the present, designed to support climate monitoring, research, and impact assessments at local to regional scales.

Methodology

We employ statistical regression analysis to identify long-term temperature trends, seasonal patterns, and climate anomalies. Our visualizations include heatmaps, trend charts, and seasonal breakdowns to help users understand complex climate data through intuitive graphics.

Features

Explore city-specific climate pages with detailed temperature analysis, interactive search functionality, downloadable charts, and seasonal trend breakdowns. Our platform covers over 7,000 cities across the United States with their nearest climate grid data.

Free to Use

All figures and visualizations on Local Climate Trends are free to download and use for any purpose. No attribution is required, though it is always appreciated. We believe climate data should be accessible to everyone.

Get in Touch

Have questions, suggestions, or feedback about Local Climate Trends? We'd love to hear from you. Visit our Contact page to get in touch with us.