Climate.gov Data Snapshots: SST - Global, Monthly Difference from Average
Principal Investigator(s): View help for Principal Investigator(s) National Oceanic and Atmospheric Administration
Version: View help for Version V2
Name | File Type | Size | Last Modified |
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data | 06/18/2025 07:21:AM | ||
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application/pdf | 10 MB | 06/18/2025 03:16:AM |
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application/pdf | 1.7 MB | 06/18/2025 03:16:AM |
Project Citation:
National Oceanic and Atmospheric Administration. Climate.gov Data Snapshots: SST - Global, Monthly Difference from Average. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-06-24. https://doi.org/10.3886/E233281V2
Project Description
Project Title:
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Climate.gov Data Snapshots: SST - Global, Monthly Difference from Average
Summary:
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This upload includes two additional files:
* SST - Global, Monthly Difference from Average _NOAA Climate.gov.pdf is a screenshot of the main Climate.gov site for these snapshots ()
* Cimate_gov_ Data Snapshots.pdf is a screenshot of the data download page for the full-resolution files.
Q: Is sea surface temperature warmer or cooler than usual?
A: Colors
on this map show where and by how much monthly sea surface temperature
differed from a long-term average (1985-1993, details from Coral Reef Watch).
Red and orange areas were warmer than average, and blue areas were
cooler than average. The darker the color, the larger the difference
from the long-term average. White and very light areas were near
average.
Q: Where do these measurements come from?
A: These monthly measurements are made from NOAA's CoralTemp sea
surface temperature (SST) data. Every day, instruments on eight
satellites in two different orbits (geostationary and polar) measure sea
surface temperature by checking how much energy is radiated by the
ocean at different wavelengths. Computer programs plot these
measurements on a gridded map and then merge and smooth the data into a
gap-free product using mathematical filters. Each grid point covers an
area approximately 5 x 5 km. Daily temperatures at each grid point are
averaged together to calculate monthly average temperature.
To calculate the difference-from-average temperatures shown here, a
computer program takes the monthly average temperature at each grid
point, and subtracts the long-term average for that month. If the result
is a positive number, the sea surface was warmer than the long-term
average. A negative result from the subtraction means the sea surface
was cooler than usual.
Q: What do the colors mean?
A: Shades
of blue show locations where sea surface temperature was cooler than
its long-term average. Locations shown in shades of orange and red are
where the sea’s surface was warmer than the long-term average. The
darker the shade of red or blue, the larger the difference from the
long-term average or “usual” sea surface temperature. Locations that are
white or very light show where sea surface temperature was the same as
or very close to its long-term average.
Q: Why do these data matter?
A: Water
covers more than 70% of our planet's surface. Tracking the temperature
of the sea’s surface helps scientists understand how much heat energy is
in the ocean and how it changes over time. Sea surface temperatures can
have dramatic impacts on weather, including weather patterns such as El
Niño-Southern Oscillation (ENSO) that travel hundreds of miles inland.
Sea surface temperatures also play a significant role in the extent and
thickness of Arctic and Antarctic sea ice, which serve as our planet’s
built-in air-conditioning system. And sea surface temperatures have
significant effects on marine life. The upwelling of cold water, for
instance, provides nutrients to phytoplankton, the base of the marine
food chain. In contrast, warm ocean surface waters deprive phytoplankton
of nutrients, sometimes with devastating effects up the chain.
Q: How did you produce these snapshots?
A: Data
Snapshots are derivatives of existing data products: to meet the needs
of a broad audience, we present the source data in a simplified visual
style. NOAA's Environmental Visualization Laboratory (NNVL) produces the
Sea Surface Temperature Anomaly files. To produce our images, we run a
set of scripts that access these NNVL source files, re-project them into
a Hammer-Aitoff globe, and output them in a range of sizes.
References
Source: https://www.climate.gov/maps-data/data-snapshots/data-source/sst-global-monthly-difference-average
This upload includes two additional files:
* SST - Global, Monthly Difference from Average _NOAA Climate.gov.pdf is a screenshot of the main Climate.gov site for these snapshots ()
* Cimate_gov_ Data Snapshots.pdf is a screenshot of the data download page for the full-resolution files.
Original Distribution URL:
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https://www.climate.gov/data/Ocean--Monthly--Difference-from-average-Sea-Surface-Temperature--Global/
Scope of Project
Subject Terms:
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climate;
climate change;
sea temperature;
ocean;
temperature
Geographic Coverage:
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Global
Time Period(s):
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1/2000 – 5/2025 (Monthly images from 2000 to present)
Data Type(s):
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images: photographs, drawings, graphical representations
Collection Notes:
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Data is divided in to folders by image resolution -- full size (zip), kml (zip), broadcast (png), small (png), and large (png). Occasionally there may be one image missing in a particular size but available in another size.
Data downloaded from climate.gov 6/15/2025 - 6/16/2025 (small, large, and full resolution) and 6/21/2025 (others).
Data downloaded from climate.gov 6/15/2025 - 6/16/2025 (small, large, and full resolution) and 6/21/2025 (others).
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