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Carl Wunsch

Researcher at Harvard University

Publications -  282
Citations -  26513

Carl Wunsch is an academic researcher from Harvard University. The author has contributed to research in topics: Ocean current & Thermohaline circulation. The author has an hindex of 79, co-authored 277 publications receiving 24874 citations. Previous affiliations of Carl Wunsch include University of Cambridge & Massachusetts Institute of Technology.

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Journal ArticleDOI

Abyssal recipes II: energetics of tidal and wind mixing

TL;DR: Using the Levitus climatology, the authors showed that 2.1 TW (terawatts) is required to maintain the global abyssal density distribution against 30 Sverdrups of deep water formation.
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Vertical mixing, energy, and the general circulation of the oceans

TL;DR: In particular, small-scale mixing processes are necessary to resupply the potential energy removed in the interior by the overturning and eddy-generating process as discussed by the authors, and it is shown that over most of the ocean significant vertical mixing is confined to topographically complex boundary areas implies a potentially radically different interior circulation than is possible with uniform mixing.
Journal ArticleDOI

Improved estimates of global ocean circulation, heat transport and mixing from hydrographic data

Alexandre Ganachaud, +1 more
- 23 Nov 2000 - 
TL;DR: These estimates provide a new reference state for future climate studies with rigorous estimates of the uncertainties, and resolve globally vertical mixing across surfaces of equal density.
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Ocean Circulation Kinetic Energy: Reservoirs, Sources, and Sinks

TL;DR: In this paper, the authors focus on the physically different kinetic energy (KE) reservoirs of the circulation and their maintenance, dissipation, and possible influence on the very small scales representing irreversible molecular mixing.
Book

The Ocean Circulation Inverse Problem

TL;DR: In this paper, the problem of inferring the state of the ocean circulation, understanding it dynamically, and even forecasting it through a quantitative combination of theory and observation is addressed, focusing on so-called inverse methods and related methods of statistical inference.