Sea Surface Temperature (SST) Long-term Mean, 2000-2013 - Hawaii

Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the mean SST (degrees Celsius) of the weekly time series from 2000-2013.

Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013.

The SST long-term mean was calculated by taking the average of all weekly data from 2000-2013 for each pixel.

Data and Resources

Field Value
access_constraints []
bbox-east-long -154.53930597914805
bbox-north-lat 22.4237406534364
bbox-south-lat 18.75414421694241
bbox-west-long -160.44646121838227
contact-email kappel@nceas.ucsb.edu
coupled-resource [{"title": [], "href": ["#DataIdentification"], "uuid": []}, {"title": [], "href": ["#DataIdentification"], "uuid": []}]
dataset-reference-date [{"type": "creation", "value": "2017-03-14"}, {"type": "issued", "value": "2017-03-14"}, {"type": "revision", "value": "2017-03-14"}]
graphic-preview-description Sample image.
graphic-preview-file http://pacioos.org/metadata/browse/hi_otp_all_sst_avg.png
guid hi_otp_all_sst_avg
licence []
lineage 2017-03-14T00:00:00Z OGC web services (WMS and WFS) enabled by PacIOOS via GeoServer. Original data from source provider may have been reformatted, reprojected, or adjusted in other ways to optimize these capabilities.
metadata-date 2024-11-14
metadata-language eng
metadata_type geospatial
old-spatial {"type": "Polygon", "coordinates": [[[-160.44646121838227, 18.75414421694241], [-154.53930597914805, 18.75414421694241], [-154.53930597914805, 22.4237406534364], [-160.44646121838227, 22.4237406534364], [-160.44646121838227, 18.75414421694241]]]}
resource-type dataset
responsible-party [{"name": "National Center for Ecological Analysis and Synthesis (NCEAS)", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[-160.44646121838227, 18.75414421694241], [-154.53930597914805, 18.75414421694241], [-154.53930597914805, 22.4237406534364], [-160.44646121838227, 22.4237406534364], [-160.44646121838227, 18.75414421694241]]]}
spatial-data-service-type Open Geospatial Consortium Web Coverage Service (WCS)
spatial_harvester true
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • aquatic ecosystems
  • biosphere
  • central pacific ocean
  • coastal areas
  • coastal processes
  • continent
  • coral reef
  • coral reefs
  • earth science
  • ecosystems
  • hawaii
  • hawaiian islands
  • human dimensions
  • human settlements
  • marine ecosystems
  • north america
  • ocean
  • ocean temperature
  • oceans
  • pacific islands ocean observing system
  • pacific ocean
  • pacioos
  • reef
  • reef habitat
  • sea surface temperature
  • united states of america
isopen False
metadata_created 2025-09-24T15:34:46.235711
metadata_modified 2025-09-24T15:34:46.235718
notes Sea surface temperature (SST) plays an important role in a number of ecological processes and can vary over a wide range of time scales, from daily to decadal changes. SST influences primary production, species migration patterns, and coral health. If temperatures are anomalously warm for extended periods of time, drastic changes in the surrounding ecosystem can result, including harmful effects such as coral bleaching. This layer represents the mean SST (degrees Celsius) of the weekly time series from 2000-2013. Three SST datasets were combined to provide continuous coverage from 1985-2013. The concatenation applies bias adjustment derived from linear regression to the overlap periods of datasets, with the final representation matching the 0.05-degree (~5-km) near real-time SST product. First, a weekly composite, gap-filled SST dataset from the NOAA Pathfinder v5.2 SST 1/24-degree (~4-km), daily dataset (a NOAA Climate Data Record) for each location was produced following Heron et al. (2010) for January 1985 to December 2012. Next, weekly composite SST data from the NOAA/NESDIS/STAR Blended SST 0.1-degree (~11-km), daily dataset was produced for February 2009 to October 2013. Finally, a weekly composite SST dataset from the NOAA/NESDIS/STAR Blended SST 0.05-degree (~5-km), daily dataset was produced for March 2012 to December 2013. The SST long-term mean was calculated by taking the average of all weekly data from 2000-2013 for each pixel.
num_resources 13
num_tags 34
title Sea Surface Temperature (SST) Long-term Mean, 2000-2013 - Hawaii