Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model

This study uses linear inverse modeling (LIM) to examine the predictability of North Atlantic sea surface temperatures (SSTs) in both observations and simulations of an unforced coupled climate model. For observations, historical North Atlantic SSTs from 1919 to 2018, we assess how predictability is...

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Bibliographic Details
Main Author: Martin, Jonathan
Other Authors: Burls, Natalie
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/1920/12131
id ftgeorgemason:oai:mars.gmu.edu:1920/12131
record_format openpolar
spelling ftgeorgemason:oai:mars.gmu.edu:1920/12131 2023-05-15T16:46:36+02:00 Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model Martin, Jonathan Burls, Natalie 2021-04-30 application/pdf http://hdl.handle.net/1920/12131 en eng http://hdl.handle.net/1920/12131 sea surface temperatures North Atlantic Ocean linear inverse model predictability ocean resolution observations Thesis 2021 ftgeorgemason 2022-10-01T22:29:03Z This study uses linear inverse modeling (LIM) to examine the predictability of North Atlantic sea surface temperatures (SSTs) in both observations and simulations of an unforced coupled climate model. For observations, historical North Atlantic SSTs from 1919 to 2018, we assess how predictability is impacted by the way in which the climate change signal is removed from the basin across three different observed SST datasets. In the climate model simulations, which possess no externally forced signal, we examine the influence of increasing the ocean resolution to an eddy resolving scale (0.1 degrees Lon/Lat) on the predictability of North Atlantic SSTs. Analysis of the observations ndfis that 1) SSTs in the Irminger Sea and Iceland Basin have the highest predictability within the North Atlantic and 2) basin averaged SSTs are predictable at a time scale of 3-5 years. The modes calculated based on the LIM supports these predictability results: all of the least damped modes, regardless of detrending method or dataset, indicate memory storage around the Irminger Sea and Iceland Basin with a decay timescale of 4.5 to 5 years. Neither the 3-5 year range of basin-wide predictability nor the enhanced Irminger Sea and Iceland Basin predictability are present in the SSTs of the eddy-resolving climate model. Examining the LIM eigenmodes for this dataset shows that the low Irminger Sea and Iceland Basin predictbaility is primarily the result of variable subsurface heat storage and a shallow mixed layer in these regions. It is worth noting that climate model's external forcing ( i.e. greenhouse gas and aerosol concentrations) is fixed and thus one possible caveat in comparing the results of the simulations to those of observations is that neither detrending method has completely removed the forced signal from observed SSTs. That said, the results of our study, regardless of detrending method, show the Irminger Sea and Iceland Basin to be highly predictable regions within the observed North Atlantic and the fact that this is ... Thesis Iceland North Atlantic George Mason University: MARS Irminger Sea ENVELOPE(-34.041,-34.041,63.054,63.054)
institution Open Polar
collection George Mason University: MARS
op_collection_id ftgeorgemason
language English
topic sea surface temperatures
North Atlantic Ocean
linear inverse model
predictability
ocean resolution
observations
spellingShingle sea surface temperatures
North Atlantic Ocean
linear inverse model
predictability
ocean resolution
observations
Martin, Jonathan
Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
topic_facet sea surface temperatures
North Atlantic Ocean
linear inverse model
predictability
ocean resolution
observations
description This study uses linear inverse modeling (LIM) to examine the predictability of North Atlantic sea surface temperatures (SSTs) in both observations and simulations of an unforced coupled climate model. For observations, historical North Atlantic SSTs from 1919 to 2018, we assess how predictability is impacted by the way in which the climate change signal is removed from the basin across three different observed SST datasets. In the climate model simulations, which possess no externally forced signal, we examine the influence of increasing the ocean resolution to an eddy resolving scale (0.1 degrees Lon/Lat) on the predictability of North Atlantic SSTs. Analysis of the observations ndfis that 1) SSTs in the Irminger Sea and Iceland Basin have the highest predictability within the North Atlantic and 2) basin averaged SSTs are predictable at a time scale of 3-5 years. The modes calculated based on the LIM supports these predictability results: all of the least damped modes, regardless of detrending method or dataset, indicate memory storage around the Irminger Sea and Iceland Basin with a decay timescale of 4.5 to 5 years. Neither the 3-5 year range of basin-wide predictability nor the enhanced Irminger Sea and Iceland Basin predictability are present in the SSTs of the eddy-resolving climate model. Examining the LIM eigenmodes for this dataset shows that the low Irminger Sea and Iceland Basin predictbaility is primarily the result of variable subsurface heat storage and a shallow mixed layer in these regions. It is worth noting that climate model's external forcing ( i.e. greenhouse gas and aerosol concentrations) is fixed and thus one possible caveat in comparing the results of the simulations to those of observations is that neither detrending method has completely removed the forced signal from observed SSTs. That said, the results of our study, regardless of detrending method, show the Irminger Sea and Iceland Basin to be highly predictable regions within the observed North Atlantic and the fact that this is ...
author2 Burls, Natalie
format Thesis
author Martin, Jonathan
author_facet Martin, Jonathan
author_sort Martin, Jonathan
title Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
title_short Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
title_full Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
title_fullStr Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
title_full_unstemmed Predictability of the North Atlantic Sea Surface Temperatures in Observations and an Eddy-Resolving Coupled Climate Model
title_sort predictability of the north atlantic sea surface temperatures in observations and an eddy-resolving coupled climate model
publishDate 2021
url http://hdl.handle.net/1920/12131
long_lat ENVELOPE(-34.041,-34.041,63.054,63.054)
geographic Irminger Sea
geographic_facet Irminger Sea
genre Iceland
North Atlantic
genre_facet Iceland
North Atlantic
op_relation http://hdl.handle.net/1920/12131
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