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Understanding the Role of Coupling i...
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Wang, Zaiyu.
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Understanding the Role of Coupling in Climate Simulations.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Understanding the Role of Coupling in Climate Simulations./
Author:
Wang, Zaiyu.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:
88 p.
Notes:
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:
Dissertations Abstracts International80-06B.
Subject:
Atmospheric sciences. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10845283
ISBN:
9780438738607
Understanding the Role of Coupling in Climate Simulations.
Wang, Zaiyu.
Understanding the Role of Coupling in Climate Simulations.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 88 p.
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Thesis (Ph.D.)--George Mason University, 2018.
This item must not be sold to any third party vendors.
A simple ocean model (slab ocean model) is coupled to a full atmosphere model to study the role of air-sea coupling. The slab ocean model (SOM) is a 0-dimension model that predicts local temperature of ocean mixed layer solely based on heat flux budget between ocean and the atmosphere. The SOM assumes no interaction between adjacent ocean locations except through heat transport by the atmosphere. The role of oceanic heat transport is represented by a prescribed heat flux called the Q-flux. A method has been developed to calculate the Q-flux, so that the SOM sea surface temperature (SST) climatology is as close as possible to a targeted observed SST climate. The Q-flux is then used to determine remote SST bias effect, where the SST bias is induced by modifying the Q-flux in the tropical eastern Pacific or Atlantic. Strong remote impacts are found in annual mean SST and precipitation for the tropical eastern Pacific SST bias. The role of ocean mixed layer depth (MLD) is investigated by carrying out a globally shallower MLD experiment, using the SOM with a constant Q-flux. Theoretically, the SOM predicts no connection between the MLD and SST climate. However, model results with shallower MLD show strong cooling in the tropics and warming in the mid-high latitudes. Further analysis shows that it is the atmospheric non-linear response to SST annual cycle, caused by MLD changes, leads to mean SST changes. The study estimates remote impacts of tropical SST bias in the current coupled models. MLD sensitivity experiment results also suggest simulated mixed layer depth bias can contribute to SST climatology bias in the coupled model.
ISBN: 9780438738607Subjects--Topical Terms:
3168354
Atmospheric sciences.
Understanding the Role of Coupling in Climate Simulations.
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Advisor: Schneider, Edwin K.
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A simple ocean model (slab ocean model) is coupled to a full atmosphere model to study the role of air-sea coupling. The slab ocean model (SOM) is a 0-dimension model that predicts local temperature of ocean mixed layer solely based on heat flux budget between ocean and the atmosphere. The SOM assumes no interaction between adjacent ocean locations except through heat transport by the atmosphere. The role of oceanic heat transport is represented by a prescribed heat flux called the Q-flux. A method has been developed to calculate the Q-flux, so that the SOM sea surface temperature (SST) climatology is as close as possible to a targeted observed SST climate. The Q-flux is then used to determine remote SST bias effect, where the SST bias is induced by modifying the Q-flux in the tropical eastern Pacific or Atlantic. Strong remote impacts are found in annual mean SST and precipitation for the tropical eastern Pacific SST bias. The role of ocean mixed layer depth (MLD) is investigated by carrying out a globally shallower MLD experiment, using the SOM with a constant Q-flux. Theoretically, the SOM predicts no connection between the MLD and SST climate. However, model results with shallower MLD show strong cooling in the tropics and warming in the mid-high latitudes. Further analysis shows that it is the atmospheric non-linear response to SST annual cycle, caused by MLD changes, leads to mean SST changes. The study estimates remote impacts of tropical SST bias in the current coupled models. MLD sensitivity experiment results also suggest simulated mixed layer depth bias can contribute to SST climatology bias in the coupled model.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10845283
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