Ph.D. Physical Oceanography, Oregon State University, 1995
B.S. Applied Mathematics, Harvey Mudd College, 1988
Dr. Zaron joins our Department in the summer 2006 as part of Dr. David Jay’s research team, and will work with Dr. Jay on research funded by the NSF, US Army Corps of Engineers and the Bonneville Power Administration. Dr. Zaron’s research has emphasized using inverse methods to validate numerical ocean models and improve their predictive capability. Applications have ranged from scales of tens of kilometers (tidal internal waves) to thousands of kilometers (basin scale general circulation). He is also interested in the dynamical links between small-scale mixing processes and the mesoscale ocean circulation.
Check out all of Dr. Zaron’s research endeavors on his personal faculty page here.
Preconditioning representer-based variational data assimilation systems: application to NAVDAS-AR Incollection
In: Park, S; Xu, L (Ed.): Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, pp. 307–320, Springer-Verlag, New York, 2009, (475 pages).
A new look at Richardson number mixing schemes for Equatorial ocean modeling Journal Article
In: Journal of Physical Oceanography, 39 (10), pp. 2652-2664, 2009.
Baroclinic tidal generation in the Kauai Channel inferred from HF-Radar Journal Article
In: Dynamics of Atmospheres and Oceans, 48 , pp. 93–120, 2009.
The Inverse Ocean Modeling System. II: Applications Journal Article
In: Journal of Atmospheric and Oceanic Technology, 25 (9), pp. 1623–1637, 2008.
The impact of the $M_2$ internal tide on data-assimilative model estimates of the surface tide Journal Article
In: Ocean Modelling, 18 , pp. 210–216, 2007.
Verification Studies for a z-coordinate primitive-equation model: tidal conversion at a mid-ocean ridge Journal Article
In: Ocean Modelling, 14 , pp. 257–278, 2006.
Estimating Open-Ocean Barotropic Tidal Dissipation: The Hawaiian Ridge Journal Article
In: Journal of Physical Oceanography, 36 , pp. 1019–1035, 2006.
A Comparison of Data Assimilation Methods Using a Planetary Geostrophic Model Journal Article
In: Monthly Weather Review, 134 , pp. 1316–1328, 2006.
Data assimilation in models with convective adjustment Journal Article
In: Monthly Weather Review, 122 , pp. 2607–2613, 1994.
A mathematical model for outgassing and contamination Journal Article
In: SIAM Journal on Applied Mathematics, 51 , pp. 1327–1355, 1991.