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NOAA Global Surface Temperature Dataset (NOAAGlobalTemp), Version 6.1

Published by National Oceanic and Atmospheric Administration, Department of Commerce | National Oceanic and Atmospheric Administration, Department of Commerce | Metadata Last Checked: April 12, 2026 | Last Modified: 2026-03-23T00:00:00.000+00:00
The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global land-ocean surface temperature product. It combines water surface temperatures over oceans (excluding the Arctic Ocean), seas, and large lakes with near-surface air temperatures over land and the Arctic Ocean to produce a globally complete surface temperature dataset. The input data sources include the Extended Reconstructed Sea Surface Temperature (ERSST), the Global Historical Climatology Network - Monthly (GHCN-M), the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), and the International Arctic Buoy Program (IABP) dataset. NOAAGlobalTemp is analyzed on 5°×5° spatial grids, spans the period from 1850 to present, and is updated monthly. The product is used for climate monitoring and climate assessments of near-surface temperatures on a global scale. This version, v6.1, differs from the previous version, v6.0, in that it utilizes the ERSST version 6, which employs artificial neural netword for its SST reconstruction, and also it uses the current WMO climatological standard normals period 1991–2020 as the reference period for temperature anomalies.

Resources

11 resources available

  • NCEI Dataset Landing Page

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  • NCEI Product Information Page

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  • NCEI Direct Download (Dataset Files)

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  • NCEI Direct Download (Documentation Files)

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  • Improvements to NOAA's Historical Merged Land-Ocean Surface Temperature Analysis (1880 -2006)

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  • NCEI landing page for the superseded Version 6.0.

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  • NCEI landing page for the superseded Version 5.1.

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  • NCEI landing page for the superseded Version 5.

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  • NCEI landing page for the superseded Version 4.

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  • Global Change Master Directory (GCMD) Keywords

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  • GCOS Essential Climate Variables

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