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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.
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
Click here for a full list of publications.
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.
http://OceanCurrents.rsmas.miami.edu/
Parameter Matrix Objective Analysis (PMOA)
PMOA is a package for analyzing either hydrographic data or data on one surface.
pmoa.html
Mariano Global Surface Velocity Analysis (MGSVA)
An Objective Analysis of the Maury Ship Drift database for the U.S. Coast Guard.
Objective Analysis of AVHRR SST data.
temporary link
OA SST 2d / 18km
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
Arthur J. Mariano
Professor
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
http://www.rsmas.miami.edu/personal/amariano