long-term observations of atmospheric o 2 :co 2 ratios over the southern ocean
DESCRIPTION
Long-term observations of atmospheric O 2 :CO 2 ratios over the Southern Ocean. Britton Stephens (NCAR), Ralph Keeling (Scripps), Gordon Brailsford (NIWA), Andrew Manning (UEA), Sara Mikaloff -Fletcher (NIWA), Prabir Patra (JAMSTEC), Jonathan Bent (Scripps), Colm Sweeney (NOAA/CU). - PowerPoint PPT PresentationTRANSCRIPT
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Long-term observations of atmospheric O2:CO2 ratios over the Southern Ocean
Britton Stephens (NCAR), Ralph Keeling (Scripps), Gordon Brailsford (NIWA), Andrew Manning (UEA), Sara Mikaloff-Fletcher (NIWA), Prabir Patra (JAMSTEC), Jonathan Bent (Scripps), Colm Sweeney (NOAA/CU)
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Measurements of atmospheric O2 are valuable because:
• Solubility and biological processes have strong and reinforcing effects on atmospheric O2
• Solubility, biological, and anthropogenic effects have distinct O2:CO2 signatures
• The atmosphere integrates over large ocean regions
• Future changes will involve subtle combinations of all processes
However, applications to date have been limited
Southern Ocean air-sea CO2 and O2 fluxes
75 S 65 S 55 S
dO2/N2 (per meg) =
[(O2/N2)sample/(O2/N2)reference - 1] x 106
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Basic problem:
• Quantitatively relating atmospheric variations in O2 and CO2 to underlying ocean processes continues to be limited by errors in atmospheric transport models
Southern Ocean strategy:
• Find ways to use atmospheric data to constrain fluxes and test ocean models that are independent of atmospheric transport models Seasonal cycle amplitude from 9 TransCom
models forced with identical seasonal ocean O2 fluxes [T. Blaine, Dissertion, 2005]
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Idea 1: Look at zonally and vertically integrated O2 concentrations
Idea 2: Look at O2:CO2 ratios in concentration measurements
001 Poster B1538: Jonathan Bent et al.Assessing biogeochemical models with high-resolution airborne observations of the O2/N2 ratio over the Southern Ocean [Stephens et al., Tellus 2003]
January 2009
Drake PassageOctober 1998
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SeaWiFS Summer Chlorophyll a
Southern Ocean atmospheric O2 observations
SPO
CGO
PSAAMS SYO
MCQ
BHD
Scripps flask
Princeton flask
NIWA in situ
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Model and data products evaluated
Dissolved-gas climatologiesSeasonal ocean O2 and N2: Garcia and Keeling, 2001Ocean CO2: Takahashi et al., 2002 and 2009
Ocean inversionsMean ocean O2: Gruber et al., 2001Mean ocean N2: Gloor et al., 2001
Fossil-fuel fluxesCO2 and O2: CDIAC and EDGAR
Ocean biogeochemistry modelsORCA-PISCES-T: Le Quere et al. 2007CCSM-3: Doney et al. 2009
Atmospheric inversionsCO2 ACTM 64 reg: Patra et al., 2011
Atmospheric transport modelsACTM (~ 2.8°): Patra et al., 2009TM3 (4° x 5 °) : Heimann and Körner, 2009
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• In general, O2 and CO2 PSA-SPO gradients are uncorrelated, and CO2 gradients are often too small.
• The Garcia and Keeling O2 fluxes have about a 1-month phase lead (by design)
• Takahashi 2009 CO2 fluxes are an improvement but may still overestimate uptake in late summer (data coverage? coarse grid? gas-exchange formulation?)
• The O2:CO2 correlations are worse in the models
• ORCA-PISCES-T appears to have CO2 flux in wrong direction (uptake) in early winter and no CO2 uptake in summer
• CCSM-3 appears to overestimate CO2 outgassing in early winter
• Limitations in biological submodels and/or lack of eddy-mixing may be important
What’s going on with the climatologies and models?
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Baring Head, New Zealand: 10 years of O2:CO2 ratios in synoptic variations during steady-CO2 Southerly wind episodes
+
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June 2012 initiation of shipboard O2 and CO2 measurements will greatly increase Southern Ocean data coverage
R/V Lawrence M. Gould
Sweeney et al., 004 Poster B2052
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Summary
• Atmospheric O2 and CO2 measurements have potential for testing surface-data based and ocean biogeochemistry model fluxes in the Southern Ocean
• Monthly surface gradient (PSA-SPO) O2:CO2 ratios suggest that both pCO2 climatologies and model seasonal CO2 fluxes still require improvement in the Southern Ocean
• High hopes for O2:CO2 ratios measured in synoptic variations in Drake Passage • isolated from terrestrial influences • strong signals• model predictions of synoptic ratios
well-behaved