{"id":28,"date":"2013-10-09T13:48:06","date_gmt":"2013-10-09T17:48:06","guid":{"rendered":"https:\/\/engineering.jhu.edu\/zaki\/?page_id=28"},"modified":"2019-12-27T15:46:21","modified_gmt":"2019-12-27T20:46:21","slug":"publications","status":"publish","type":"page","link":"https:\/\/engineering.jhu.edu\/zaki\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

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Congratulations to Dr Simon Haward<\/strong> for his figure being selected as a cover image in Physics of Fluids<\/em>.<\/p>\n

Haward,\u00a0S. J., Page, J., Zaki,\u00a0T. A. & Shen, A. Q. 2018\u00a0\u201cPhase diagram\u201d for viscoelastic Poiseuille flow over a wavy surface<\/span>.\u00a0<\/span>Phys. Fluids<\/span><\/em>\u00a0<\/span>30<\/strong>, 113101.<\/span><\/p>\n

DOI:\u00a0https:\/\/doi.org\/10.1063\/1.5057392<\/a><\/p>\n

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\"JFM_V772_Cover\"<\/a><\/p>\n

Congratulations to Dr Seo Yoon Jung<\/strong> for his figure being selected as a cover image in Journal of Fluid Mechanics<\/em>.<\/p>\n

Jung,\u00a0S.Y.\u00a0&\u00a0Zaki,\u00a0T. A. 2015\u00a0The effect of a low-viscosity near-wall film on bypass transition in boundary layers. J. Fluid Mech.<\/em>\u00a0772<\/strong>, 330-360.<\/p>\n

DOI:\u00a0http:\/\/dx.doi.org\/10.1017\/jfm.2015.214<\/a><\/p>\n

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172 entries<\/span> «<\/a> ‹<\/a> 1 of 4 ›<\/a> »<\/a> <\/div><\/div>

Journal Articles<\/h3>
1.<\/div>
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Zaki, Tamer A.<\/p>

Turbulence from an Observer Perspective<\/a> Journal Article<\/span> <\/p>

In: <\/span>vol. 57, <\/span>no. 1, <\/span>pp. 311\u2013334, <\/span>2025<\/span>, ISSN: 1545-4479<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span> | Tags: <\/span><\/p>

@article{Zaki2025,
\r\ntitle = {Turbulence from an Observer Perspective},
\r\nauthor = {Tamer A. Zaki},
\r\ndoi = {10.1146\/annurev-fluid-030424-114735},
\r\nissn = {1545-4479},
\r\nyear  = {2025},
\r\ndate = {2025-01-22},
\r\nvolume = {57},
\r\nnumber = {1},
\r\npages = {311--334},
\r\npublisher = {Annual Reviews},
\r\nabstract = {Turbulence is often studied by tracking its spatiotemporal evolution and analyzing the dynamics of its different scales. The dual to this perspective is that of an observer who starts from measurements, or observations, of turbulence and attempts to identify their back-in-time origin, which is the foundation of data assimilation. This back-in-time search must contend with the action of chaos, which obfuscates the interpretation of the observations. When the available measurements satisfy a critical resolution threshold, the influence of chaos can be entirely mitigated and turbulence can be synchronized to the exact state\u2013space trajectory that generated the observations. The critical threshold offers a new interpretation of the Taylor microscale, one that underscores its causal influence. Below the critical threshold, the origin of measurements becomes less definitive in regions where the flow is inconsequential to the observations. In contrast, flow events that influence the measurements, or are within their domain of dependence, are accurately captured. The implications for our understanding of wall turbulence are explored, starting with the highest density of measurements that entirely tame chaos and proceeding all the way to an isolated measurement of wall stress. The article concludes with a discussion of future opportunities and a call to action.<\/jats:p>},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
\r\n<\/pre><\/div>
Close<\/a><\/p><\/div>
Turbulence is often studied by tracking its spatiotemporal evolution and analyzing the dynamics of its different scales. The dual to this perspective is that of an observer who starts from measurements, or observations, of turbulence and attempts to identify their back-in-time origin, which is the foundation of data assimilation. This back-in-time search must contend with the action of chaos, which obfuscates the interpretation of the observations. When the available measurements satisfy a critical resolution threshold, the influence of chaos can be entirely mitigated and turbulence can be synchronized to the exact state\u2013space trajectory that generated the observations. The critical threshold offers a new interpretation of the Taylor microscale, one that underscores its causal influence. Below the critical threshold, the origin of measurements becomes less definitive in regions where the flow is inconsequential to the observations. In contrast, flow events that influence the measurements, or are within their domain of dependence, are accurately captured. The implications for our understanding of wall turbulence are explored, starting with the highest density of measurements that entirely tame chaos and proceeding all the way to an isolated measurement of wall stress. The article concludes with a discussion of future opportunities and a call to action.<\/jats:p><\/div>
Close<\/a><\/p><\/div>