From Bureau of Meteorology
JSON RDF ISO19115-3 XML

Regional Australian Multi-Sensor SST Analysis ( RAMSSA) (MCP)

Created 07/10/2024

Updated 07/10/2024

JSON RDF ISO19115-3 XML

A real-time, high-resolution, Regional Australian Multi-Sensor Sea surface temperature Analysis (RAMSSA) system has been developed at the Australian Bureau of Meteorology as part of the BLUElink> Ocean Forecasting Australia project. The pre-existing operational, 1/4° resolution, regional SST analysis system (Smith et al., 1999) has been modified to produce 1/12° resolution, daily SST analyses over the Australian region (20°N - 70°S, 60°E - 170°W). The high resolution analysis system combines SST data from infrared (AVHRR and AATSR) and microwave (AMSR-E) sensors on polar-orbiting satellites with in situ measurements to produce daily “foundation” SST estimates (SSTfnd), largely free of nocturnal cooling and diurnal warming effects. The RAMSSA analyses are used in realtime as the boundary condition for the Bureau’s regional numerical weather prediction models (LAPS 0.375, MesoLAPS, TCLAPS, ACCESS-R, ACCESS-A and ACCESS-C) and to validate the BLUElink> operational ocean model (OceanMAPS) SST5m forecast/analyses.

Files and APIs

Tags

Additional Info

Field Value
Title Regional Australian Multi-Sensor SST Analysis ( RAMSSA) (MCP)
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/fbac1dc8-1a2e-400d-9966-54f0732f125a
Contact Point
Bureau of Meteorology
h.beggs@bom.gov.au
Reference Period 14/12/2017
Geospatial Coverage {"type": "Polygon", "coordinates": [[[59.99999999999999, -70.0], [170.0, -70.0], [170.0, 20.0], [59.99999999999999, 20.0], [59.99999999999999, -70.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Regional Australian Multi-Sensor SST Analysis ( RAMSSA) (MCP)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/regional-australian-multi-sensor-sst-analysis-ramssa-mcp

Original dataset
Dataset copies

No duplicate datasets found.