Visualization of tropical cyclone-ocean interactions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tropical cyclone (TC)winds vigorously mix the upper ocean, bringing cold water up to the surface and injecting warm water down into the interior. This process can alter ocean heat budget and transport, with implications of large-scale climate variability (such as El Niño) and future climate change projections. The effect of TCs on the ocean are simulated using an ocean model with forced TC winds. Results are compared with a simulation without forcing. Visualization of temperature differences between the two simulations and wind drag are used to analyze the effect of tropical cyclones on the ocean.

Original languageEnglish (US)
Title of host publicationPEARC 2017 - Practice and Experience in Advanced Research Computing 2017
Subtitle of host publicationSustainability, Success and Impact
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352727
DOIs
StatePublished - Jul 9 2017
Event2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States
Duration: Jul 9 2017Jul 13 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128771

Other

Other2017 Practice and Experience in Advanced Research Computing, PEARC 2017
CountryUnited States
CityNew Orleans
Period7/9/177/13/17

Keywords

  • Ocean wind drag
  • Particle tracing
  • Tropical cyclones

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Visualization of tropical cyclone-ocean interactions'. Together they form a unique fingerprint.

  • Cite this

    Bock, D. (2017). Visualization of tropical cyclone-ocean interactions. In PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact [a79] (ACM International Conference Proceeding Series; Vol. Part F128771). Association for Computing Machinery. https://doi.org/10.1145/3093338.3104149