Matthew Mazloff

Data processing for assimilation into ocean reanalysis efforts is a vital task. However due to the other demands only a finite amount of time can be devoted to data processing. Thus reanalysis efforts rely on data managers to make collecting and processing data efficient. As an example of current processing work flows I present how in situ ocean data is being prepared for the Southern Ocean State Estimate (SOSE; http://sose.ucsd.edu/) and the United States component of the consortium for Estimating the Climate and Circulation of the Ocean (ECCO; https://ecco-group.org/).

Bio

Matthew Mazloff is an associate researcher in the Oceans and Atmospheres Section at Scripps Institution of Oceanography, University of California, San Diego. His research focuses on understanding the ocean and earth system by utilizing model-observation syntheses. The estimates of the ocean state produced allows one to address pressing scientific and societal problems. Providing quantitative ocean baselines allows detecting past and future climate shifts, and enables understanding the underlying dynamics controlling the system. Analyses using these state estimates span a broad range of topics including air-sea exchanges, the carbon cycle, the ocean circulation, and the dynamical balances governing this circulation.