Differences in Model Transport of CO2

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Cloud Contamination

✦ Radar indicates precipitation along fronts

✦ Coincidentally, this is where much of interesting CO2 variability and transport occurs

Clouds mask important information!

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How Do Transport Errors Affect Flux Estimation?

How Do Transport Errors Affect Flux Estimation?

• Typically, one would invert CO2 observations through a transport model to estimate unknown surface fluxes

• Transport is assumed to be perfect

• What if transport is wrong?

• Experiment: Create “synthetic CO2 observations” using high resolution model, and invert through low resolution transport model

• Surface fluxes used to generate synthetic data are used as priors for inversion

• If high and low resolution transport are the same, no “unknown” surface fluxes will be estimated

Control Runs:1) 2.5x2 transport Sampled Along

GOSAT

Control Runs:1) 2.5x2 transport Sampled Along

GOSAT

PgC Month

-0.06 +0.06

+0.07

Control Runs:2) 2.5x2 transport Sampled Along

GOSAT- Screen for Clouds

Control Runs:2) 2.5x2 transport Sampled Along

GOSAT- Screen for Clouds

-0.07

+0.08

+0.05

-0.07

Control Runs:3) 2.5x2 transport Sampled Along

GOSAT- Add σ = 3 ppm noise

- No Cloud Screening

Control Runs:3) 2.5x2 transport Sampled Along

GOSAT- Add σ = 3 ppm noise

- No Cloud Screening

-0.09

-0.05

-0.06

+0.06

-0.09

+0.07

Transport Experiment:1) 0.67x0.5 transport Sampled Along GOSAT

- NO cloud Screening- σ = 3 ppm error not added

Transport Experiment:1) 0.67x0.5 transport Sampled Along GOSAT

- NO cloud Screening- σ = 3 ppm error not added

-0.2

+0.5

+0.7

+0.1

+0.5

-0.2+0.1-0.1

Transport Experiment:2) 0.67x0.5 transport Sampled Along GOSAT- Cloud Screening- σ = 3 ppm error IS addedTransport Experiment:2) 0.67x0.5 transport Sampled Along GOSAT- Cloud Screening- σ = 3 ppm error IS added

-0.15

-0.25+0.45

+0.2

+0.3-0.3

+0.1

-0.1

+0.1