Bureau / Cambridge University Press / Industrial Research Organisation / Ballard S.P. / Commonwealth Scientific / NOAA/Geophysical Fluid Dynamics Laboratory / P. and Corney S.P. / Simmons / /
Country
Italy / New Zealand / Norway / France / Japan / United States / Canada / Australia / United Kingdom / China / / /
Event
Business Partnership / /
Facility
European Centre / /
IndustryTerm
ocean applications / assimilation systems / Data assimilation systems / data assimilation tools / satellite altimetry data assimilation / equatorial current systems / ocean analysis systems / reanalysis systems / eddy kinetic energy / operational systems / Satellite altimetry / coupled data assimilation systems / satellite sea-surface temperatures / ocean forecast systems / kinetic energy / forecast systems / satellite altimeters / coupled forecast systems / operational ocean forecasting systems / satellite sea-surface temperature / /
NaturalFeature
Atlantic Ocean / Gulf of Mexico / New South Wales coast / Pacific ocean / Coral Sea / Ocean Sci / Ocean Dyn / Indian ocean / Ocean Modelling / /
Organization
Cambridge University / Royal Australian Navy / Australian Bureau of Meteorology Numerical Weather Prediction Systems / International CLIVAR Project Office / National Oceanic and Atmospheric Administration / US Office / GODAE Project Office / CNES / UK Met Office / ESA / Bureau of Meteorology / National Aeronautics and Space Administration / European Centre for Medium-range Weather Forecasts / United States Navy / /
Person
Miller / Greenslade / Eqn / Egbert / / /
Position
drifter / wb / D.J. / author / Governor / Bishop / model / or detected by the observing system / R.N. / /
ProgrammingLanguage
R / T / /
ProvinceOrState
New South Wales / /
PublishedMedium
Atmospheric Research / /
Region
southern Australia / Gulf of Mexico / eastern Australia / South Wales / central New South Wales / east coast of Australia / Western Australia / /
Australian Meteorological and Oceanographic Journal[removed] Ocean data assimilation: a case for ensemble optimal interpolation Peter R. Oke1,2 , Gary B. Brassington1,3, David A. Griffin1,2 and Andreas Schiller1,