EMANUELE DI LORENZO

Professor of Ocean & Climate Dynamics
Director, Program in Ocean Science & Engineering (OSE)

Georgia Institute of Technology

Ford Environmental Science & Technology Building, Room 3253
311 Ferst Drive Atlanta, GA, 30332-0340, USA

Voice: 404-894-3994 | Email: edl@eas.gatech.edu

Founding Chairman, Ocean Visions
AWARDS

 

  • PICES SB Award, North Pacific Marine Science IGO, 2013

  • Class of 1964 Teaching Award, Georgia Tech, 2012

  • Sigma Xi Best Paper Award, Georgia Tech, 2011

  • Sigma Xi Young Faculty Award, Georgia Tech, 2009

  • Junior Faculty Teaching Excellence, Georgia Tech, 2007

  • Regents Graduate Fellowship, UC San Diego, 2000

RESEARCH INTERESTS

  • Ocean & Climate Dynamics

  • Regional & Coastal Oceanography

  • Low Frequency Ocean Variability

  • Ocean & Inverse Modeling

  • Climate & Ecosystem Dynamics

  • Social-Ecological-Environmental Systems

  • Coupled Ocean & Atmosphere Variability

RECENT NATIONAL & INTERNATIONAL DISTINCTIONS

 

  • Vice-chair, Science Board, North Pacific Marine Science Organization (PICES), [4/2017-, web]

  • Member of Future Earth Ocean Knowledge Action Network (KAN), [8/2017-, web]

  • Chairman PICES Physical Oceanography and Climate Committee (POC), [1/2017-, web]

  • Member US CLIVAR Science Steering Committee, [1/2017-, web]

  • Co-chair US CLIVAR Phenomena, Observations, and Synthesis Panel, [1/2017-, web]

  • Founding Director, Program in Ocean Science & Engineering, Georgia Tech, [10/2016-present, web]

  • Member PICES FUTURE Science Steering Committee, [1/2015-present, web]

  • Chair PICES SG-SEES Social-Ecological-Environmental Systems, [10/2013-10/2015, web]

  • Member CLIVAR ENSO Diversity WG, [01/2012-02/2015, web]

  • Chair PICES-WG27 North Pacific Climate Variability & Change, [04/2011-10/2015, web]

  • US delegate Advancing US-DPRK Relations through Science Engagement, [04/2012, web]

  • Chair ICES-WKECOFOR Forecasting Ecosystem Indicators, [03/2012-03/2013, web]

  • US representative PICES-COVE international advisory panel, [10/10/2009-2014, web]

  • Member Steering Committee, NSF/NOAA CAMEO Program, [03/2009-03/2012, web]

  • Member PICES-WG20 Evaluations of Climate Change Projections, [11/2005-2011, web]

OCEAN VISIONS

Di Lorenzo is co-founder of Ocean Visions,  an alliance between premier US research and outreach institutions that aims to transform science and engineering knowledge into real solution actions to address ocean health and sustainable development.  

COURSES

Introduction to Oceanography, EAS 4300/6124

This course is an introduction to the ocean sciences, with particular focus on the role of the ocean in the geological, biological, chemical, physical, climatic, and human aspects of the Earth system. The class will cover the following topics: the origin of the ocean basins, marine sedimentation, properties of seawater, ocean circulation, waves, tides, shallow water processes, aspects of marine ecology, biological productivity, coastal processes, ocean habitats and their biota. We will also cover some interdisciplinary aspects of oceanography like El Nino, Global Warming, The Carbon Cycle, Iron and Biogeochemical Cycles, Life in the Deep Ocean and Hydrothermal Vents, Oceanography from Space, Deep Ocean Explorations. A detailed outline of the lectures is available on the course website.

Environmental Data Analysis, EAS 6490

This course is an advanced introduction to environmental data analysis. It is intended for first year graduate students and senior undergraduates. The goal of this class is to provide a deeper understanding of the theory underlying the statistical analysis of environmental data, both in the space, time and spectral domain, and to provide the students with a hands on experience. Ideally at the end of this class you will have developed a series of computer programming tool boxes and theoretical skills that should immediately be available for analyzing and modeling data in your own research. Although some preview knowledge of probability and statistics is required, a background review will be provided. Concepts and notation will be reintroduced as needed. In this class you will learn (A) how to combine models, which quantify statistical or dynamical relationships, with observations, (B) time series analysis, (C) forecasting and extrapolation and (D) signal decomposition.

Ocean Modeling, EAS 8803

This course is an introduction to ocean modeling. It is intended for first and second year graduate students. The goal of the class is two fold. (A) Understand different types of ocean models of ranging complexity from simple 2D shallow water and quasi-geostrophic models, to layered and full 3D primitive equations ocean models. In particular during the class you will be able to derive the dynamical equations, understand the implications of physical assumptions made in the derivations and develop intuition for the applicability of each model class. (B) Provide a “hands-on” experience in implementing and using both large and regional scales circulation models. This part of the class relies on being able to use fluently at least a programming language of choice (e.g. Fortran, MATLAB).

Introduction Oceanography

Class offered in the Fall Semester 

 

Advanced Environmental Data Analysis

Class offered in the Fall Semester 

 

Ocean Modeling

Class offered every other Fall Semester 

 

© 2023 by Emanuele Di Lorenzo, Georgia Institute of Technology