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