README.md

metadata

annotations_creators:
  - expert-generated
language:
  - en
license: cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - time-series-forecasting
  - tabular-regression
task_ids:
  - univariate-time-series-forecasting
pretty_name: Global Warming Prediction 2026 (473 Cities)
tags:
  - climate
  - weather
  - global-warming
  - cities
  - tourism

Global Warming Prediction 2026: The Accelerating Heat of Our Cities

Dataset Summary

This dataset provides a quantitative analysis of warming trends across 473 major global urban centers and tourist destinations. It contains processed historical weather data spanning 30 years (1996–2025), used to predict temperature baselines for 2026.

The data was generated by the 30YearWeather research team using raw input from the NASA POWER Project and Open-Meteo (ERA5 Reanalysis).

• Full Research Report: Global Warming Prediction 2026: City-by-City Analysis
• Methodology: Ordinary Least Squares (OLS) linear regression on annual mean temperatures.
• Maintainer: 30YearWeather

Supported Tasks and Leaderboards

• Time Series Forecasting: Predicting future urban temperatures based on 30-year historical trends.
• Climatology Analysis: Analyzing the rate of warming (degrees per decade) across different continents and latitudes.

Data Structure

The dataset contains 473 rows with the following columns:

• City: Name of the city (e.g., "Paris", "Tokyo").
• Country: Country of the destination.
• Continent: Geographical region.
• Avg Temp Start (1996): Baseline average temperature (°C) at the start of the analysis period.
• Avg Temp End (2025): Current average temperature (°C).
• Warming Rate (C/Decade): The calculated rate of warming per 10 years (slope * 10).
• Prediction 2026 (C): Projected annual mean temperature for 2026.

Citation

If you use this dataset, please cite the original research:

@article{30yearweather2026global,
  title={Global Warming Prediction 2026: The Accelerating Heat of Our Cities},
  author={Vesecký, Michal and 30YearWeather Research Team},
  journal={30YearWeather Research},
  year={2026},
  url={[https://30yearweather.com/research/global-warming-prediction-2026](https://30yearweather.com/research/global-warming-prediction-2026)},
  doi={10.5281/zenodo.18144475}
}