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.
In: Journal of Physical Oceanography, 44 (2), pp. 538–557, 2014.
In: Journal of Physical Oceanography, 44 (7), pp. 1704–1726, 2014.
In: Ocean Dynamics, 64 (8), pp. 1093-1120, 2014.
Recent applications of representer-based variational data assimilation Incollection
In: Park, S; Xu, L (Ed.): Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, II , pp. 286–301, Springer-Verlag, New York, 2013.
Adaptation of Classical Tidal Harmonic Analysis to Non-Stationary Tides, with Application to River Tides Journal Article
In: Journal of Atmospheric and Oceanic Technology, 30 , pp. 569-589, 2013.
Regional models of internal tides Journal Article
In: Oceanography, 25 (2), pp. 56–65, 2012.
Validation Test Report for the Tidal Open-Boundary Prediction System (TOPS) Technical Report
Naval Research Laboratory Stennis Space Center, Mississippi, (NRL/MR/7320--11-9296), 2011.
Initial expansion of the Columbia River tidal plume: Theory and remote sensing observations Journal Article
In: Journal of Geophysical Research, 115 (C2), 2010.
River Influences on Shelf Ecosystems: introduction and synthesis Journal Article
In: Journal of Geophysical Research, 115 , pp. C00B17, 2010.
The surface expression of semi-diurnal internal tides in the Kauai Channel, Hawai'i. Part I: observations and numerical predictions Journal Article
In: Journal of Physical Oceanography, 40 , pp. 1155–1179, 2010.