Timely detection of changes in the meridional overturning circulation at 26°N in the Atlantic
Timely detection of changes in the meridional overturning circulation at 26°N in the Atlantic
 
  It is investigated how changes in the North Atlantic meridional overturning circulation (MOC) might be reliably detected within a few decades, using the observations provided by the RAPID-MOC 26°N array. Previously, detectability of MOC changes had been investigated with a univariate MOC time series exhibiting strong internal variability, which would prohibit the detection of MOC changes within a few decades. Here, a modification of K. Hasselmann’s fingerprint technique is used: (simulated) observations are projected onto a time-independent spatial pattern of natural variability to derive a time-dependent detection variable. The fixed spatial pattern of natural variability is derived by regressing the zonal density gradient along 26°N against the strength of the MOC at 26°N within the coupled ECHAM5/Max Planck Institute Ocean Model’s (MPI-OM) control climate simulation. This pattern is confirmed against the observed anomalies found between the 1957 and the 2004 hydrographic occupations of the section. Onto this fixed spatial pattern of natural variability, both the existing hydrographic observations and simulated observations mimicking the RAPID-MOC 26°N array in three realizations of the Intergovernmental Panel on Climate Change (IPCC) scenario A1B are projected. For a random observation error of 0.01 kg m?3, and only using zonal density gradients between 1700- and 3100-m depth, statistically significant detection occurs with 95% reliability after about 30 yr, in the model and climate change scenario analyzed here. Compared to using a single MOC time series as the detection variable, continuous observations of zonal density gradients reduce the detection time by 50%. For the five hydrographic occupations of the 26°N transect, none of the analyzed depth ranges shows a significant trend between 1957 and 2004, implying that there was no MOC trend over the past 50 yr.
  
  
  5827-5841
  
  
    
      Baehr, J.
      
        1606627f-1d88-4046-808f-030b627710cb
      
     
  
    
      Haak, H.
      
        a87ebbdd-58bf-4585-8d8b-fa69538e3893
      
     
  
    
      Alderson, S.
      
        00ee9859-a11f-4040-a963-d88d4ae2740d
      
     
  
    
      Cunningham, S.A.
      
        07f1bd78-d92f-478b-a016-b92f530142c3
      
     
  
    
      Jungclaus, J.H.
      
        2e9628e6-5767-4377-bd92-0fe5031597b4
      
     
  
    
      Marotzke, J.
      
        6047bfd1-68a3-4abe-95ce-e1df9a56ce76
      
     
  
  
   
  
  
    
      1 December 2007
    
    
  
  
    
      Baehr, J.
      
        1606627f-1d88-4046-808f-030b627710cb
      
     
  
    
      Haak, H.
      
        a87ebbdd-58bf-4585-8d8b-fa69538e3893
      
     
  
    
      Alderson, S.
      
        00ee9859-a11f-4040-a963-d88d4ae2740d
      
     
  
    
      Cunningham, S.A.
      
        07f1bd78-d92f-478b-a016-b92f530142c3
      
     
  
    
      Jungclaus, J.H.
      
        2e9628e6-5767-4377-bd92-0fe5031597b4
      
     
  
    
      Marotzke, J.
      
        6047bfd1-68a3-4abe-95ce-e1df9a56ce76
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Baehr, J., Haak, H., Alderson, S., Cunningham, S.A., Jungclaus, J.H. and Marotzke, J.
  
  
  
  
   
    (2007)
  
  
    
    Timely detection of changes in the meridional overturning circulation at 26°N in the Atlantic.
  
  
  
  
    Journal of Climate, 20 (23), .
  
   (doi:10.1175/2007JCLI1686.1). 
  
  
   
  
  
  
  
  
   
  
    
      
        
          Abstract
          It is investigated how changes in the North Atlantic meridional overturning circulation (MOC) might be reliably detected within a few decades, using the observations provided by the RAPID-MOC 26°N array. Previously, detectability of MOC changes had been investigated with a univariate MOC time series exhibiting strong internal variability, which would prohibit the detection of MOC changes within a few decades. Here, a modification of K. Hasselmann’s fingerprint technique is used: (simulated) observations are projected onto a time-independent spatial pattern of natural variability to derive a time-dependent detection variable. The fixed spatial pattern of natural variability is derived by regressing the zonal density gradient along 26°N against the strength of the MOC at 26°N within the coupled ECHAM5/Max Planck Institute Ocean Model’s (MPI-OM) control climate simulation. This pattern is confirmed against the observed anomalies found between the 1957 and the 2004 hydrographic occupations of the section. Onto this fixed spatial pattern of natural variability, both the existing hydrographic observations and simulated observations mimicking the RAPID-MOC 26°N array in three realizations of the Intergovernmental Panel on Climate Change (IPCC) scenario A1B are projected. For a random observation error of 0.01 kg m?3, and only using zonal density gradients between 1700- and 3100-m depth, statistically significant detection occurs with 95% reliability after about 30 yr, in the model and climate change scenario analyzed here. Compared to using a single MOC time series as the detection variable, continuous observations of zonal density gradients reduce the detection time by 50%. For the five hydrographic occupations of the 26°N transect, none of the analyzed depth ranges shows a significant trend between 1957 and 2004, implying that there was no MOC trend over the past 50 yr.
        
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      Published date: 1 December 2007
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 49983
        URI: http://eprints.soton.ac.uk/id/eprint/49983
        
          
        
        
        
          ISSN: 0894-8755
        
        
          PURE UUID: 72314911-6a3b-42d1-a5e4-58c4663a7209
        
  
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
  
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  Date deposited: 08 Jan 2008
  Last modified: 15 Mar 2024 10:01
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      Contributors
      
          
          Author:
          
            
            
              J. Baehr
            
          
        
      
          
          Author:
          
            
            
              H. Haak
            
          
        
      
          
          Author:
          
            
            
              S. Alderson
            
          
        
      
          
          Author:
          
            
            
              S.A. Cunningham
            
          
        
      
          
          Author:
          
            
            
              J.H. Jungclaus
            
          
        
      
          
          Author:
          
            
            
              J. Marotzke
            
          
        
      
      
      
    
  
   
  
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