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README.md

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-license: cc-by-4.0
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+---
+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](https://30yearweather.com/research/global-warming-prediction-2026)
+- **Methodology:** Ordinary Least Squares (OLS) linear regression on annual mean temperatures.
+- **Maintainer:** [30YearWeather](https://30yearweather.com)
+
+## 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:
+
+```bibtex
+@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}
+}