Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations

Jones, Steve (2012) Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations. Doctoral thesis, University of East Anglia.

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    Abstract

    The variability of surface ocean pCO2 is examined on multiple spatial and temporal
    scales. Temporal autocorrelation analysis is used to examine pCO2 variability over multiple
    years. Spatial autocorrelation analysis describes pCO2 variability over multiple spatial
    scales. Spatial autocorrelation lengths range between <50 km in coastal regions and other
    areas of physical turbulence up to 3,000 km along major currents. Analysis of the drivers
    of pCO2 shows that ocean currents are the primary driver of spatial variability. Autocorrelation
    lengths of air-sea CO2 fluxes are approximately half as long as for pCO2 due to
    the effects of highly variable wind speeds.
    The influence of modes of climate variability on ocean pCO2 and related air-sea CO2
    fluxes is examined through correlations of climate indices with interannual pCO2 anomalies
    separated from the long-term trend and mean seasonal cycle. Changes in the El Ni˜no
    Southern Oscillation alter pCO2 levels by -6.6 � 1.0 �atm per index unit (�atm iu

    Item Type: Thesis (Doctoral)
    Faculty \ School: Faculty of Science > School of Environmental Sciences
    Depositing User: Mia Reeves
    Date Deposited: 02 May 2013 10:04
    Last Modified: 02 May 2013 10:04
    URI: https://ueaeprints.uea.ac.uk/id/eprint/42328
    DOI:

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