- Title Information
- Title
- Modeling Langmuir turbulence in the ocean surface boundary layer with Dedalus
- Name:
Personal
- Name Part
- Hartig, Kara
- Role
- Role Term:
Text
- creator
- Name:
Personal
- Name Part
- Marston, Brad
- Role
- Role Term:
Text
- advisor
- affiliation
- Brown University. Department of Physics
- Name:
Corporate
- Name Part
- Brown University. Karen T. Romer Undergraduate Teaching and Research Awards
- Role
- Role Term:
Text
- research program
- Type of Resource
- text
- Genre (aat)
- posters
- Origin Information
- Place
- Place Term:
Code (MARC Country Code)
- riu
- Place
- Place Term:
Text
- Providence, RI
- Publisher
- Brown University
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2017
- Physical Description
- Extent
- 1 poster
- digitalOrigin
- reformatted digital
- Abstract
- Langmuir turbulence, formed when steady winds blow over the ocean, helps to mix the ocean surface layer and regulates the exchange of heat and gas with the atmosphere. Due to their size and complexity, global climate models struggle to resolve turbulence on this scale, leading to persistent uncertainties in ocean surface temperatures and the mixed layer depth. As part of the effort to reduce climate model uncertainties and better understand ocean-atmosphere dynamics, this project built and analyzed a computational model of Langmuir turbulence. Two approximations, the quasilinear and generalized quasi-linear, were compared to a fully non-linear simulation (the best representation of reality) to judge their ability to capture critical dynamics at minimal computational cost.
- Subject (Local)
- Topic
- Langmuir turbulence
- Subject (LCSH)
- Topic
- Computer simulation
- Subject (LCSH)
- Topic
- Climate
- Topic
- Computer simulation
- Subject (LCSH)
- Topic
- Climate
- Topic
- Statistics
- Identifier:
DOI
- 10.26300/0ndc-bg90