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NASA GISTEMP Global Surface Temperature Analysis
Data Science and Analytics
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About
Presents global surface temperature change estimated by the NASA GISS Surface Temperature Analysis (GISTEMP v4). The data provides highly detailed tables of global and hemispheric monthly and zonal annual means. These values represent Land-Ocean Temperature Index (L-OTI) anomalies, which are deviations from the corresponding mean temperatures measured between 1951 and 1980. The dataset is crucial for monitoring global warming on Earth, combining land-surface air and sea-surface water temperature readings updated from sources like NOAA GHCN v4 and ERSST v5.
Columns
- Year: The calendar year spanning the temperature measurements.
- Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec: Monthly mean temperature anomaly values.
- J-D: The mean temperature anomaly for the full calendar year (January through December).
- DJF: The mean temperature anomaly for the Northern Hemisphere meteorological winter season (December, January, February).
- MAM: The mean temperature anomaly for the Northern Hemisphere meteorological spring season (March, April, May).
- JJA: The mean temperature anomaly for the Northern Hemisphere meteorological summer season (June, July, August).
- SON: The mean temperature anomaly for the Northern Hemisphere meteorological autumn season (September, October, November).
- D-N: The mean temperature anomaly for the meteorological year, running from 1st December to 30th November.
Distribution
The data is structured as a CSV file, labelled
global_temps.csv, with a file size of approximately 14.92 kB. It features 19 distinct columns. The data typically contains 144 records, with the records covering the period from 1880 to 2023. While most columns are complete, some seasonal and monthly columns (e.g., Jun, Jul, Aug, Sep, Oct, Nov, Dec, J-D, D-N, DJF, JJA, SON) may have a very small number of missing records (one or two).Usage
This resource is highly valuable for applications focused on climate research and environmental monitoring. Ideal uses include sophisticated Data Visualization of long-term climate trends, performing in-depth Exploratory Data Analysis on temperature variance, and training Deep Learning models to predict future temperature shifts. It is frequently applied in the field of Atmospheric Science to validate global climate models.
Coverage
The dataset offers extensive temporal coverage, detailing annual and monthly temperature anomalies starting in 1880 and extending through to 2023. The scope is entirely global and hemispheric. The values quantify temperature deviations (anomalies) across both land-surface air and ocean areas. The dataset is expected to be updated annually, ensuring relevance for ongoing research.
License
CC0: Public Domain
Who Can Use It
Intended users include data scientists creating models for environmental forecasting, climate researchers investigating historical temperature patterns, academics studying global warming trends, and public policy analysts requiring authoritative, publicly accessible climate data. It is suitable for anyone involved in Data Analytics seeking to understand the rate and extent of planetary warming.
Dataset Name Suggestions
- NASA GISTEMP Global Surface Temperature Analysis
- Historical Global Temperature Anomalies (1880-2023)
- Climate Change Indicator Data: GISTEMP v4
- Earth Surface Temperature Deviations
Attributes
Original Data Source: NASA GISTEMP Global Surface Temperature Analysis
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