Data

IMOS - Satellite Remote Sensing - SST - L4 - GAMSSA - World

Australian Ocean Data Network
Integrated Marine Observing System (IMOS)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/2d496463-600c-465a-84a1-8a4ab76bd505&rft.title=IMOS - Satellite Remote Sensing - SST - L4 - GAMSSA - World&rft.identifier=https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/2d496463-600c-465a-84a1-8a4ab76bd505&rft.description=An International Group for High-Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends infra-red SST observations from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA and METOP polar-orbiting satellites, microwave SST observations from the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on GCOM-W, and in situ data from ships, and drifting and moored buoys from the Global Telecommunications System (GTS). All SST observations are filtered for those values suspected to be affected by diurnal warming by excluding cases which have experienced recent surface wind speeds of below 6 m/s during the day and less than 2 m/s during the night, thereby resulting in daily foundation SST estimates that are largely free of diurnal warming effects.Statement: The processing method is described in both Zhong, Aihong and Helen Beggs (2008) Analysis and Prediction Operations Bulletin No. 77 - Operational Implementation of Global Australian Multi-Sensor Sea Surface Temperature Analysis, Web Document, 2 October 2008. http://www.bom.gov.au/australia/charts/bulletins/apob77.pdf and Beggs H., A. Zhong, G. Warren, O. Alves, G. Brassington and T. Pugh (2011) RAMSSA - An Operational, High-Resolution, Multi-Sensor Sea Surface Temperature Analysis over the Australian Region, Australian Meteorological and Oceanographic Journal, 61, 1-22 (http://www.bom.gov.au/jshess/papers.php?year=2011). All files are supplied in the GHRSST Data Specification version 2.0 revision 5 format, documented at https://www.ghrsst.org/governance-documents/ghrsst-data-processing-specification-2-0-revision-5/.&rft.creator=Integrated Marine Observing System (IMOS) &rft.date=2018&rft.coverage=westlimit=-180.00; southlimit=-80.00; eastlimit=180.00; northlimit=80.00&rft.coverage=westlimit=-180.00; southlimit=-80.00; eastlimit=180.00; northlimit=80.00&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/&rft_rights=The citation in a list of references is: IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access].&rft_rights=Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS). If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).&rft_subject=oceans&rft_subject=SEA SURFACE TEMPERATURE&rft_subject=EARTH SCIENCE&rft_subject=OCEANS&rft_subject=OCEAN TEMPERATURE&rft_subject=Sea Surface Temperature Products Sub-Facility, Integrated Marine Observing System (IMOS)&rft_subject=Regional Seas | Mediterranean Sea&rft_subject=Global / Oceans | Atlantic Ocean&rft_subject=Regional Seas | Baltic Sea&rft_subject=Global / Oceans | Indian Ocean&rft_subject=Global / Oceans | Southern Ocean&rft_subject=Regional Seas | South China Sea&rft_subject=Global / Oceans | World&rft_subject=Global / Oceans | Pacific Ocean&rft_subject=Continents | Antarctica&rft_subject=Continents | North America&rft_subject=Continents | South America&rft_subject=Continents | Asia&rft_subject=Continents | Africa&rft_subject=Countries | Australia&rft_subject=NOAA-19&rft_subject=NOAA-18&rft_subject=Skin temperature of the water body&rft_subject=radiometers&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/

The citation in a list of references is: "IMOS [year-of-data-download], [Title], [data-access-URL], accessed [date-of-access]."

Any users of IMOS data are required to clearly acknowledge the source of the material derived from IMOS in the format: "Data was sourced from Australia’s Integrated Marine Observing System (IMOS) – IMOS is enabled by the National Collaborative Research Infrastructure strategy (NCRIS)." If relevant, also credit other organisations involved in collection of this particular datastream (as listed in 'credit' in the metadata record).

Access:

Other

Brief description

An International Group for High-Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends infra-red SST observations from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA and METOP polar-orbiting satellites, microwave SST observations from the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on GCOM-W, and in situ data from ships, and drifting and moored buoys from the Global Telecommunications System (GTS). All SST observations are filtered for those values suspected to be affected by diurnal warming by excluding cases which have experienced recent surface wind speeds of below 6 m/s during the day and less than 2 m/s during the night, thereby resulting in daily foundation SST estimates that are largely free of diurnal warming effects.

Lineage

Statement: The processing method is described in both Zhong, Aihong and Helen Beggs (2008) Analysis and Prediction Operations Bulletin No. 77 - Operational Implementation of Global Australian Multi-Sensor Sea Surface Temperature Analysis, Web Document, 2 October 2008. http://www.bom.gov.au/australia/charts/bulletins/apob77.pdf and Beggs H., A. Zhong, G. Warren, O. Alves, G. Brassington and T. Pugh (2011) RAMSSA - An Operational, High-Resolution, Multi-Sensor Sea Surface Temperature Analysis over the Australian Region, Australian Meteorological and Oceanographic Journal, 61, 1-22 (http://www.bom.gov.au/jshess/papers.php?year=2011). All files are supplied in the GHRSST Data Specification version 2.0 revision 5 format, documented at https://www.ghrsst.org/governance-documents/ghrsst-data-processing-specification-2-0-revision-5/.

Notes

Credit
Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Credit
Australian Bureau of Meteorology (BOM)
Credit
CSIRO Marine and Atmospheric Research (CMAR)

Created: 15 06 2018

This dataset is part of a larger collection

180,80 180,-80 0,-80 -180,-80 -180,80 0,80 180,80

0,0

text: westlimit=-180.00; southlimit=-80.00; eastlimit=180.00; northlimit=80.00

Other Information
(Sea Surface Temperatures Derived from NOAA Satellite Data)

uri : http://imos.org.au/sstproducts.html

SRS - GAMSSA - WMS layer (srs_ghrsst_l4_gamssa_url/analysed_sst)

uri : http://geoserver-123.aodn.org.au/geoserver/ncwms

(GoGoDuck help documentation)

uri : https://help.aodn.org.au/web-services/gogoduck-aggregator/

(BODAAC help documentation)

uri : https://help.aodn.org.au/web-services/ncurllist-service/

(Access To AWS Open Data Program registry for the Cloud Optimised version of this dataset)

uri : https://registry.opendata.aws/aodn_satellite_ghrsst_l4_gamssa_1day_multi_sensor_world/

(Access to Jupyter notebook to query Cloud Optimised converted dataset])

uri : https://nbviewer.org/github/aodn/aodn_cloud_optimised/blob/main/notebooks/satellite_ghrsst_l4_gamssa_1day_multi_sensor_world.ipynb

global : 5356744f-10f7-442e-8dd5-8a05f016588d

Identifiers
  • global : 2d496463-600c-465a-84a1-8a4ab76bd505