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OAS accession Detail for 0186478
| accessions_id: |
0186478 | archive
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| Title: |
GHRSST Level 4 RAMSSA_9km Australian Regional Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2) for 2019-01-09 (NCEI Accession 0186478) |
| Abstract: |
A 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 (BoM) using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers, with in situ data from ships, Argo floats, XBTs, CTDs, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the BoM Global Weekly 1 degree OI SST analysis, which relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990. |
| Date received: |
20210703 |
| Start date: |
20190109 |
| End date: |
20190109 |
| Seanames: |
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| West boundary: |
60 |
| East boundary: |
-170 |
| North boundary: |
20 |
| South boundary: |
-70 |
| Observation types: |
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| Instrument types: |
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| Datatypes: |
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| Submitter: |
Armstrong, Edward M. |
| Submitting institution: |
US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center |
| Collecting institutions: |
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| Contributing projects: |
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| Platforms: |
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| Number of observations: |
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| Supplementary information: |
In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number. |
| Availability date: |
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| Metadata version: |
2 |
| Keydate: |
2019-03-17 00:10:30+00 |
| Editdate: |
2022-07-13 13:52:30+00 |