Prabir K. Patra Acknowledgments: S. Maksyutov, K. Gurney and TransCom-3 modellers TransCom Meeting,...
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Transcript of Prabir K. Patra Acknowledgments: S. Maksyutov, K. Gurney and TransCom-3 modellers TransCom Meeting,...
Prabir K. Patra
Acknowledgments: S. Maksyutov, K. Gurney and TransCom-3 modellers
TransCom Meeting, Paris; 13-16 June 2005
Sensitivity CO2 sources and sinks to ocean versus land-dominated
observational networks.
Yet another sensitivity study!
Plan of the talk
– Why network sensitivity (using IAVs in flux anomalies)
– Experimental setup (based on T3-L1 & L2)
– Some results (may be useful for synthesis)
– Conclusions
64-Regions Inverse Model(using 15 years of interannually varying NCEP/NCAR winds)
Patra et al., Global Biogeochem. Cycles., revised, 2005a
]/)(/)[([1 2
1 012
112
S
M
MDpredicted
N
N CSSCDDT
Inv. Setup Chi222 reg 2.1564 reg 1.1164+IAV 0.99
CS = cs1 + cs2…
Flux anomaly (6-month running averages) and initial conditions
Flux anom
aly = T
DI F
lux – avg. sea. cyc
Conclusions: IAV in fluxes (and fluxes indirectly) is controlled mainly by network selection
Assumption: Biases in flux estimation are linked mainly to transport model errors
Conclusions
1. The IAV is controlled mainly by observational network selection, less on techniques
2. Biases in fluxes estimation are linked to transport model errors
3. For synthesis of CO2 sources and sinks, we need to revisit the estimations
• Different networks• Separate time period for inversion
4. Finally, any suggestions are welcome