RADS

Radar Altimeter Database System (RADS)

Algorithm Details

The Radar Altimeter Database System (RADS) is employed is employed at NESDIS/STAR as a enterprise multi-mission algorithm providing consistent sea level anomaly, waves, and ocean surface wind speed products. RADS is a joint effort of the NOAA Laboratory for Satellite Altimetry (LSA), EUMETSAT, and Department of Earth Observation and Space Systems (DEOS) at the Delft University of Technology to establish a harmonized, validated, and cross-calibrated sea level data base from satellite altimeter data. RADS was designed primarily as a database tool for expert altimetry users but through NOAA CoastWatch and LSA training materials, may have appeal at both expert and entry levels: advisory councils, water management authorities, teachers, and students.

RADS homogenizes data from multiple missions which in turn are used to generate Level-2P products for operational users, including data assimilation at NOAA and the US Navy (e.g. the Global Real-Time Ocean Forecast System (Global RTOFS) and the West Coast Operational Forecast System) and Level-2P and Level-3 products distributed through NOAA CoastWatch (Sea Level Anomaly and along-track altimetry). It is also used as calibration/validation platform.

The database is a collection of continually updated NetCDF datasets. Geophysical Data Records and associated corrections are processed and stored in homogenized NetCDF pass files. Near real-time processing is done two times per day at NOAA for the following missions: Jason-3, Sentinel-3A, Sentinel-3B, AltiKa/SARAL, and CryoSat-2. Reprocessing is done jointly with EUMETSAT. These files can then be used to generate products using the RADS data utilities.

Variables used within RADS include (not all inclusive):

  • Time, latitude, longitude
  • Sea level (anomaly with respect to a mean sea surface, or absolute dynamic topography)
  • Ocean surface windspeed
  • Wave height
  • Multiple options for geophysical corrections (tide models, path delays)
  • Multiple options for instrument corrections
  • Radiometer brightness temperatures
  • Radar range, orbital altitude and rate
  • Bathymetry, sea surface temperatures
  • Engineering and geophysical flags
Documentation

Scharroo, R., E. W. Leuliette, J. L. Lillibridge, D. Byrne, M. C. Naeije, and G. T. Mitchum, RADS: Consistent multi-mission products, in Proc. of the Symposium on 20 Years of Progress in Radar Altimetry, Venice, 20-28 September 2012, European Space Agency Special Publication, ESA SP-710, p. 4 pp., 2013.

RADS Data Manual The data manual describes the details of variables used in the RADS database.

Sea level Anomaly and Geostrophic Currents, multi-mission, global, optimal interpolation, gridded

The NOAA Laboratory for Satellite Altimetry's (LSA) sea surface height team produces 0.25-degree longitude/latitude Level-3 sea level anomaly (SLA) daily datasets by applying optimal interpolation to along-track satellite observations over the global ocean from a constellation of radar altimeter missions. Theses grids are produced with near-real time (3-5 hour latency) data.  Geostrophic Currents are produced from the SLA and are included in the dataset.

Along-track significant wave height, wind speed and sea level anomaly from multiple altimeters

The NOAA Laboratory for Satellite Altimetry's (LSA) sea surface height team produces 0.25-degree longitude/latitude Level-3 significant wave height, wind speed, and sea level anomaly (SLA) daily datasets by applying optimal interpolation to along-track satellite observations over the global ocean from a constellation of radar altimeter missions. Theses grids are produced with near-real time (3-5 hour latency) data.