Welcome to Arthur Mariano's Home Page

Arthur J. Mariano was born in beautiful Bayonne, NJ and attended Marist High School. At Stockton State College, nestled in the NJ Pine Barrens, he graduated with highest honors with Bachelor of Science degrees in Marine Science and Mathematics. While at Stockton, Arthur worked and then was in charge of the Math Skill Center. He taught Calculus at the U. of Rhode Island (URI) in 1979-80 and then received a Ph.D. degree in physical oceanography under the guidance of Tom Rossby at URI. He was a post doc with Allan Robinson at Harvard U. and then with Otis Brown at RSMAS, U. of Miami. He is now a full professor in the division of Meteorology and Physical Oceanography at RSMAS, U. of Miami.

Research Interests

Dynamical, thermodynamical, biological and chemical variables are the state space of the ocean. These variables vary over a wide spectrum of space and time-scales due to the interplay of stochastic forcing and nonlinear dynamics. The documentation, understanding, and prediction of the mean state space and its variability must be achieved by a methodology capable of comprehensive use of both numerical circulation models and measurements. However, standard statistical methods often fail to address peculiarities in ocean analysis and assimilation, such as nonstationarity, heterogeneity, strongly nonlinear dynamics, and sparse and irregularly sampled data sets. My primary research interest is to address these non-trivial data analysis and assimilation problems for the purpose of documenting, modeling, and predicting oceanic variability. My approach has been, and continues to be, an end-to-end process of technique development, application to regional and global ocean data sets and numerical circulation models, and scientific analysis.


Recent and In Progress

Lagrangian Analysis and Prediction of Coastal and Oceanic Dynamics

Edited by Annalisa Griffa, A. D. Kirwan, Jr., Arthur J. Mariano, Tamay Özgökmen, H. Thomas Rossby.
Cambridge University Press, 2007.

A consistent theory for linear waves of the shallow water equations on a rotating plane in mid-latitudes.

N. Paldor, S. Rubin, and A.J. Mariano.
J. of Physical Oceanography, 37(1), 115-128, 2007.

Empirical and stochastic formulations of western boundary conditions.

T. Mike Chin, Tamay M. Özgökmen and Arthur J. Mariano.
Ocean Modelling, 17(3), 219-238, 2007.

The mean flow and variability of the Gulf stream-slopewater system from MICOM.

Angelique C. Haza, Arthur J. Mariano, Toshio M. Chin and Donald B. Olson.
Ocean Modelling, 17(3), 239-276, 2007.

An Introduction to the analysis, interpolation, and assimilation of space-time data

A.J. Mariano and T.M. Chin.
(Book in preparation, 400 pages completed).

Click here for a full list of publications.

Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics

The Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics (LAPCOD) group is an informal group of researchers on Virginia Key and collaborators with similar research interests in the use and understanding of Lagrangian measurements of ocean and coastal currents with free drifting surface buoys and subsurface floats.


Ocean Surface Currents web site

A web-based ocean current reference site. Each current has important links, summary text detailing velocity and hydrographic observations, and plots such as, average current speed and locations, drifting buoy positions, sea surface temperature maps, and HYCOM simulations.


Ocean Surface Currents

Source Code

Parameter Matrix Objective Analysis (PMOA)

PMOA is a package for analyzing either hydrographic data or data on one surface.

Data Sets

Mariano Global Surface Velocity Analysis (MGSVA)

An Objective Analysis of the Maury Ship Drift database for the U.S. Coast Guard.
temporary link

OA SST 2d / 18km

Objective Analysis of AVHRR SST data.
coverage: global
spatial resolution: 18 km equal area grid
temporal resolution: 2 day
temporal coverage: 1985 - 1999 (15 yrs)
file format: global daily NetCDF
temporary link

Photo Gallery

Contact Information

Arthur J. Mariano

Meteorology & Physical Oceanography
Rosenstiel School of Marine & Atmospheric Science
University of Miami

mail: RSMAS/MPO, 4600 Rickenbacker Cswy, Miami, FL 33149
email: amariano@rsmas.miami.edu
tel: +1-(305)-421-4193
fax: +1-(305)-421-4622