Is Computational Oceanography Coming of Age?

Journal Article (2021)
Author(s)

Thomas W. N. Haine (Johns Hopkins University)

Renske Gelderloos (Johns Hopkins University)

Miguel A. Jimenez-Urias (Johns Hopkins University)

Ali H. Siddiqui (Johns Hopkins University)

Gerard Lemson (Johns Hopkins University)

Dimitri Medvedev (Johns Hopkins University)

Alex Szalay (Johns Hopkins University)

Ryan P. Abernathey (Columbia University)

Mattia Almansi (National Oceanography Centre)

Christopher N. Hill (Massachusetts Institute of Technology)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1175/bams-d-20-0258.1 Final published version
More Info
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Publication Year
2021
Language
English
Affiliation
External organisation
Journal title
Bulletin of The American Meteorological Society
Issue number
8
Volume number
102
Pages (from-to)
E1481-E1493
Downloads counter
216

Abstract

Computational oceanography is the study of ocean phenomena by numerical simulation, especially dynamical and physical phenomena. Progress in information technology has driven exponential growth in the number of global ocean observations and the fidelity of numerical simulations of the ocean in the past few decades. The growth has been exponentially faster for ocean simulations, however. We argue that this faster growth is shifting the importance of field measurements and numerical simulations for oceanographic research. It is leading to the maturation of computational oceanography as a branch of marine science on par with observational oceanography. One implication is that ultraresolved ocean simulations are only loosely constrained by observations. Another implication is that barriers to analyzing the output of such simulations should be removed. Although some specific limits and challenges exist, many opportunities are identified for the future of computational oceanography. Most important is the prospect of hybrid computational and observational approaches to advance understanding of the ocean.