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Simulate d A ir-Sea CO2 Fluxes in the P a cific: Multidimension a l S tatistical A nalysis of M odel P erformance. J. C. Orr 1 , K. G. Caldeira 2 , K.E. Taylor 3 , and the OCMIP Group* 1 LSCE/CEA/CNRS and IPSL (France) 2 L LNL Carbon and Climate Group 3 PCMDI/LLNL - PowerPoint PPT Presentation
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Simulated Air-Sea CO2 Fluxes in the Pacific: Multidimensional Statistical
Analysis of Model Performance
J. C. Orr 1, K. G. Caldeira 2, K.E. Taylor 3,and the OCMIP Group*
1LSCE/CEA/CNRS and IPSL (France)2LLNL Carbon and Climate Group3PCMDI/LLNL
http://www.ipsl.jussieu.fr/OCMIP
AGU Ocean Sciences MeetingPresentation OS32I-09
Wed 13 Feb 2002
OCMIP Group
• AWI (Bremerhaven, Germany): R. Schlitzer, M.-F. Weirig • CSIRO (Hobart, Australia): R. Matear• IGCR/CCSR (Tokyo, Japan): Y. Yamanaka, A. Ishida• IPSL (LSCE, LODyC, Paris, France): J. Orr, P. Monfray, O. Aumont, J.-Cl.Dutay,
P. Brockmann • LLNL (Livermore, CA, USA): K. Caldeira, M. Wickett• MIT (Boston, USA): M. Follows, J. Marshall• MPIM (Max Planck Institut fuer Meteorologie—Hamburg, Germany): E. Maier-Reimer • NCAR (Boulder, USA): S. Doney, K. Lindsay, M. Hecht • NERSC (Bergen, Norway): H. Drange, Y. Gao• PIUB (Bern, Switzerland): F. Joos, K. Plattner • PRINCEton (Princeton, USA): J. Sarmiento, A. Gnanadesikan, R. Slater, R. Key• SOC (Southampton Oceanography Centre/Hadley Center, UK): I. Totterdell, A. Yool • UL (University of Liege/University Catholique de Louvain, Belgium):
A. Mouchet, E. Deleersnyder, J.-M. Campin• PMEL/NOAA (Seattle, USA): J. Bullister, C. Sabine• PSU (Penn. State, USA): R. Najjar, F. Louanchi• UCLA (Los Angeles, USA): N. Gruber, X. Jin
OCMIP-2 Model Simulations
• Tracers– CFC-11 and CFC-12
– C-14 (Natural and Bomb Components)
– He-3
• Carbon– Past (Preindustrial: No Biology, Common Biology)
– Historical (Followed observed atmospheric CO2)
– Future (IPCC IS92a and S650 until 2300)
– Sequestration (7 sites, 3 depths, 2 scenarios)
Sea-Air CO2 Flux in 1995: Data vs. Model mean, σ, Range (mol m-2 yr-1)
Taylor Diagram: Global, Seasonal, Sea-Air CO2 Flux Map
Pacific Regional Sea-Air CO2 Fluxes:
Space-Time ComparisonNorth Pacific: 22oN-70oN Equatorial Pacific: 22oS-22oN
Pacific Sea-Air CO2 Flux in 1995 (Zonal Integral, Annual Mean, Pg C yr-1 deg-1)
North PacificAnnual Mean Sea-Air CO2 Flux in 1995 (mol m-2 yr-1)
Eq. PacificAnnual Mean Sea-Air CO2 Flux in 1995 (mol m-2 yr-1)
Pacific Seasonal Anomaly of Zonal Mean Sea-Air CO2 Flux in 1995
(mol m-2 yr-1)
Conclusions: Pacific Sea-Air CO2 Fluxes
• Models vs. data estimates of sea-air CO2 fluxes in the Pacific:– Poor agreement
• Spatial anomaly (longitudinal variability) • Seasonal anomaly map (seasonal variability)
– Better agreement (N. Pacific, Tropical Pacific)• Zonal mean (latitudinal variability)
• Data-based estimates (Takahashi et al.):– North Pacific: largest variability; seasonality dominates – Tropical Pacific: latitudinal, longitudinal, seasonal variability
contribute equally – South Pacific: minor latitudinal variability (models exhibit
substantially larger contribution, which is unusual) • Taylor Diagram*: merits further use in model-data comparison and
model development
*Taylor, K. E., J. Geophys. Res., 106, D7, 7183-7192, 2001
South PacificAnnual Mean Sea-Air CO2 Flux in 1995 (mol m-2 yr-1)
PacificSeasonal Zonal Integral Sea-Air CO2 Flux in 1995 (Pg C yr-1 deg-1)
Pacific SeasonalZonal Mean Sea-Air CO2
Flux in 1995 (mol m-2 yr-1)
Air-Sea CO2 Flux by Component:Zonal Integral(Pg C yr-1 deg-1)
Conclusions: Taylor Diagram
• Taylor* Diagram: graphical evaluation of 5 global summary statistics (σdata, σmodel, r, R.M.S., Bias)
– rapid, intuitive first look useful in evaluating ocean as well as atmospheric models
*Taylor, K. E., J. Geophys. Res., 106, D7, 7183-7192, 2001
Basis for Taylor Diagram*
• Standard deviations (ref., model)• Correlation Coefficient R:
• Centered Pattern RMS error:
• Overall Bias:Law of Cosines:
*Taylor, K.E., J. Geophys. Res., 106, D7, 7183-7192, 2001
Key relationship:
Some Objective Summary Statistics
• Standard deviation (ref., model)• Correlation Coefficient R:
• Centered Pattern RMS error:
• Overall Bias:
OCMIP: Objectives
• Accelerate Model Improvement
Provide Infrastructure for International Collaboration– Forum
– Benchmarks
– Model Output Archive
– Analysis Tools
• Provide Constraints – Ocean Carbon Uptake (Loss)
– Global Carbon Cycle
Model Differences