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GISS Annual Mean Temperature Data
Data Science and Analytics
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About
Tracking the significant shifts in Earth's climate, this file provides the global annual mean temperature anomalies from 1880 to 2023. The data represents the change in global surface temperature measured in Celsius, compared against a long-term average baseline established from 1951 to 1980. Produced by NASA's Goddard Institute for Space Studies (GISS), this index offers a critical historical perspective on environmental warming trends over nearly a century and a half.
Columns
- Year: The specific year of the observation, ranging from 1880 to 2023.
- No_Smoothing: The global temperature difference (anomaly) for that year in Celsius, without data smoothing applied.
- Lowess(5): A smoothed version of the temperature observations using Lowess regression to highlight underlying trends.
Distribution
- Format: CSV (Comma Separated Values)
- Size: Approximately 2.49 kB
- Structure: 144 rows (records) and 3 columns.
- Data Integrity: The dataset contains 100% valid entries with zero mismatched or missing values.
Usage
- Climate Change Analysis: visualising long-term global warming trends and temperature deviations.
- Academic Research: Supporting studies in atmospheric science and environmental history.
- Educational Tools: Teaching students about statistical baselines and climate anomalies.
- Predictive Modelling: Serving as historical input data for forecasting future temperature scenarios.
Coverage
- Geographic: Global surface temperature.
- Time Range: 1880 to 2023 (Annual).
- Scope: continuous annual observations covering the industrial and modern eras.
License
CC0: Public Domain
Who Can Use It
- Climate Scientists
- Data Analysts
- Environmental Policy Makers
- Meteorology Students
- Science Journalists
Dataset Name Suggestions
- NASA Global Temperature Anomalies (1880-2023)
- Earth Surface Temperature Trends
- Global Warming Historical Index
- GISS Annual Mean Temperature Data
Attributes
Original Data Source: GISS Annual Mean Temperature Data
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