Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models

This study presents an analysis of observed Atlantic Meridional Overturning Circulation (AMOC) variability at 26.5°N on submonthly to interannual time scales compared to variability characteristics produced by a selection of five high- and low-resolution, synoptically and climatologically forced OGC...

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Main Author: Shaw, Benjamin Stuard
Other Authors: William Johns, Benjamin Kirtman, Christopher Meinen
Format: Other/Unknown Material
Language:unknown
Published: Scholarly Repository 2010
Subjects:
Online Access:https://scholarlyrepository.miami.edu/oa_theses/74
https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1073&context=oa_theses
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spelling ftunivmiamiir:oai:scholarlyrepository.miami.edu:oa_theses-1073 2023-05-15T17:37:26+02:00 Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models Shaw, Benjamin Stuard William Johns Benjamin Kirtman Christopher Meinen 2010-01-01T08:00:00Z application/pdf https://scholarlyrepository.miami.edu/oa_theses/74 https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1073&context=oa_theses unknown Scholarly Repository Open Access Theses Monte Carlo Meridional Coherence Observations Meridional Overturning Circulation Ekman Transport Variance Geostrophic Variance unrestricted 2010 ftunivmiamiir 2019-10-11T22:47:31Z This study presents an analysis of observed Atlantic Meridional Overturning Circulation (AMOC) variability at 26.5°N on submonthly to interannual time scales compared to variability characteristics produced by a selection of five high- and low-resolution, synoptically and climatologically forced OGCMs. The focus of the analysis is on the relative contributions of ocean mesoscale eddies and synoptic atmospheric forcing to the overall AMOC variability. Observations used in this study were collected within the framework of the joint U.K.-U.S. Rapid Climate Change (RAPID)-Meridional Overturning Circulation & Heat Flux Array (MOCHA) Program. The RAPID-MOCHA array has now been in place for nearly 6 years, of which 4 years of data (2004-2007) are analyzed in this study. At 26.5°N, the MOC strength measured by the RAPID-MOCHA array is 18.5 Sv. Overall, the models tend to produce a realistic, though slightly underestimated, MOC. With the exception of one of the high-resolution, synoptically forced models, standard deviations of model-produced MOC are lower than the observed standard deviation by 1.5 to 2 Sv. A comparison of the MOC spectra at 26.5°N shows that model variability is weaker than observed variability at periods longer than 100 days. Of the five models investigated in this study, two were selected for a more in-depth examination. One model is forced by a monthly climatology derived from 6-hourly NCEP/NCAR winds (OFES-CLIM), whereas the other is forced by NCEP/NCAR reanalysis daily winds and fluxes (OFES-NCEP). They are identically configured, presenting an opportunity to explain differences in their MOCs by their differences in forcing. Both of these models were produced by the OGCM for the Earth Simulator (OFES), operated by the Japan Agency for Marine-Earth Science & Technology (JAMSTEC). The effects of Ekman transport on the strength, variability, and meridional decorrelation scale are investigated for the OFES models. This study finds that AMOC variance due to Ekman forcing is distributed nearly evenly between the submonthly, intraseasonal, and seasonal period bands. When Ekman forcing is removed, the remaining variance is the result of geostrophic motions. In the intraseasonal period band this geostrophic AMOC variance is dominated by eddy activity, and variance in the submonthly period band is dominated by forced geostrophic motions such as Rossby and Kelvin waves. It is also found that MOC variability is coherent over a meridional distance of ~8° throughout the study region, and that this coherence scale is intrinsic to both Ekman and geostrophic motions. A Monte Carlo-style evaluation of the 27-year-long OFES-NCEP timeseries is used to investigate the ability of a four year MOC strength timeseries to represent the characteristics of lengthier timeseries. It is found that a randomly selected four year timeseries will fall within ~1 Sv of the true mean 95% of the time, but long term trends cannot be accurately calculated from a four year timeseries. Errors in the calculated trend are noticeably reduced for each additional year until the timeseries reaches ~11 years in length. For timeseries longer than 11-years, the trend's 95% confidence interval asymptotes to 2 Sv/decade. Other/Unknown Material North Atlantic University of Miami: Scholarly Repository
institution Open Polar
collection University of Miami: Scholarly Repository
op_collection_id ftunivmiamiir
language unknown
topic Monte Carlo
Meridional Coherence
Observations
Meridional Overturning Circulation
Ekman Transport Variance
Geostrophic Variance
spellingShingle Monte Carlo
Meridional Coherence
Observations
Meridional Overturning Circulation
Ekman Transport Variance
Geostrophic Variance
Shaw, Benjamin Stuard
Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
topic_facet Monte Carlo
Meridional Coherence
Observations
Meridional Overturning Circulation
Ekman Transport Variance
Geostrophic Variance
description This study presents an analysis of observed Atlantic Meridional Overturning Circulation (AMOC) variability at 26.5°N on submonthly to interannual time scales compared to variability characteristics produced by a selection of five high- and low-resolution, synoptically and climatologically forced OGCMs. The focus of the analysis is on the relative contributions of ocean mesoscale eddies and synoptic atmospheric forcing to the overall AMOC variability. Observations used in this study were collected within the framework of the joint U.K.-U.S. Rapid Climate Change (RAPID)-Meridional Overturning Circulation & Heat Flux Array (MOCHA) Program. The RAPID-MOCHA array has now been in place for nearly 6 years, of which 4 years of data (2004-2007) are analyzed in this study. At 26.5°N, the MOC strength measured by the RAPID-MOCHA array is 18.5 Sv. Overall, the models tend to produce a realistic, though slightly underestimated, MOC. With the exception of one of the high-resolution, synoptically forced models, standard deviations of model-produced MOC are lower than the observed standard deviation by 1.5 to 2 Sv. A comparison of the MOC spectra at 26.5°N shows that model variability is weaker than observed variability at periods longer than 100 days. Of the five models investigated in this study, two were selected for a more in-depth examination. One model is forced by a monthly climatology derived from 6-hourly NCEP/NCAR winds (OFES-CLIM), whereas the other is forced by NCEP/NCAR reanalysis daily winds and fluxes (OFES-NCEP). They are identically configured, presenting an opportunity to explain differences in their MOCs by their differences in forcing. Both of these models were produced by the OGCM for the Earth Simulator (OFES), operated by the Japan Agency for Marine-Earth Science & Technology (JAMSTEC). The effects of Ekman transport on the strength, variability, and meridional decorrelation scale are investigated for the OFES models. This study finds that AMOC variance due to Ekman forcing is distributed nearly evenly between the submonthly, intraseasonal, and seasonal period bands. When Ekman forcing is removed, the remaining variance is the result of geostrophic motions. In the intraseasonal period band this geostrophic AMOC variance is dominated by eddy activity, and variance in the submonthly period band is dominated by forced geostrophic motions such as Rossby and Kelvin waves. It is also found that MOC variability is coherent over a meridional distance of ~8° throughout the study region, and that this coherence scale is intrinsic to both Ekman and geostrophic motions. A Monte Carlo-style evaluation of the 27-year-long OFES-NCEP timeseries is used to investigate the ability of a four year MOC strength timeseries to represent the characteristics of lengthier timeseries. It is found that a randomly selected four year timeseries will fall within ~1 Sv of the true mean 95% of the time, but long term trends cannot be accurately calculated from a four year timeseries. Errors in the calculated trend are noticeably reduced for each additional year until the timeseries reaches ~11 years in length. For timeseries longer than 11-years, the trend's 95% confidence interval asymptotes to 2 Sv/decade.
author2 William Johns
Benjamin Kirtman
Christopher Meinen
format Other/Unknown Material
author Shaw, Benjamin Stuard
author_facet Shaw, Benjamin Stuard
author_sort Shaw, Benjamin Stuard
title Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
title_short Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
title_full Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
title_fullStr Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
title_full_unstemmed Structure and Variability of the North Atlantic Meridional Overturning Circulation from Observations and Numerical Models
title_sort structure and variability of the north atlantic meridional overturning circulation from observations and numerical models
publisher Scholarly Repository
publishDate 2010
url https://scholarlyrepository.miami.edu/oa_theses/74
https://scholarlyrepository.miami.edu/cgi/viewcontent.cgi?article=1073&context=oa_theses
genre North Atlantic
genre_facet North Atlantic
op_source Open Access Theses
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