Ocean State Estimation with Turbulence Observation Data

Shuhei Masuda1, Satoshi Osafune2, Nozomi Sugiura3, Toshimasa Doi1 and Tadashi Hemmi4, (1)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (2)JAMSTEC, Yokosuka-City, Kanag, Japan, (3)Japan Agency for Marine-Earth Science and Technology, Research and Development Center for Global Change, Yokosuka, Japan, (4)JAMSTEC, Japan
Ocean state estimation is a useful tool to reveal mechanisms of oceanic phenomena. Recently, turbulence observation data has been increasing by lots of effort of researchers. Here we synthesize pre-existing ocean data with newly-acquired turbulence data using state-of-the-art assimilation technique. Available observations of turbulence strength in the ocean, will be “blended with temperature, salinity, sea surface height anomaly data applying dynamically self-consistent state estimation approach with 4D-VAR adjoint system. The control variables are mixing coefficients in addition to oceanic initial conditions and surface fluxes. We propose some new techniques and schemes to assimilate turbulence data which include unique features.