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Development of an optimal calibration strategy for trace gas measurements. Mark Battle (Bowdoin College) Zane Davis, Ryan Hart, Jayme Woogerd, Jacob Scheckman, Eric Sofen, Becca Perry, John Carpenter. Special thanks: Britt Stephens (NCAR), Ralph Keeling (SIO), Bill Munger (Harvard)

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development of an optimal calibration strategy for trace gas measurements

Development of an optimal calibration strategy for trace gas measurements

Mark Battle

(Bowdoin College)

Zane Davis, Ryan Hart, Jayme Woogerd, Jacob Scheckman, Eric Sofen, Becca Perry, John Carpenter.

Special thanks: Britt Stephens (NCAR), Ralph Keeling (SIO), Bill Munger (Harvard)

Mary Lou Zeeman (Cornell/Bowdoin)

CompSust09 June 11, 2009

Funding from: DOE, Bowdoin College

outline
Outline
  • Structure of a measurement program
  • What measurements might tell us
  • Example of one such program
  • Call for help
measuring the composition of air
Measuring the composition of air
  • Precision vs. Accuracy
measuring the composition of air1
Measuring the composition of air
  • Precision vs. Accuracy
  • Differential measurements
benefits of differential measurements
Benefits of differential measurements

Initial Group

1001 Women

Final group

1002 Women

benefits of differential measurements1
Benefits of differential measurements

Absolute changes

Initial # women: 1001

Final # women: 1002

Change in women: 0.1%

Initial Group

1001 Women

Final group

1002 Women

benefits of differential measurements2
Benefits of differential measurements

Initial Group

999 Men

1001 Women

Final group

999 Men

1002 Women

benefits of differential measurements3
Benefits of differential measurements

Initial Group

999 Men

1001 Women

Final group

999 Men

1002 Women

Differential changes

Initial gender diff: 2

Final gender diff: 3

Change in gender diff: 33%

benefits of differential measurements4
Benefits of differential measurements

Absolute changes

Initial # women: 1001

Final # women: 1002

Change in women: 0.1%

Initial Group

999 Men

1001 Women

Final group

999 Men

1002 Women

Differential changes

Initial gender diff: 2

Final gender diff: 3

Change in gender diff: 33%

measuring the composition of air2
Measuring the composition of air
  • Precision vs. Accuracy
  • Differential measurements
  • Measure samples relative to “standards”
measuring the composition of air3
Measuring the composition of air
  • Precision vs. Accuracy
  • Differential measurements
  • Measure samples relative to “standards”
  • Instrumental response
metric
Metric

Precision & Accuracy

Constraints

Instrument time is precious

Standard air is precious

in summary
In summary:

Optimally combine many analyses of many standards to create a virtual standard against which all samples are measured.

where does anthropogenic co 2 end up
Where does anthropogenic CO2 end up?

Values for 2000-2006 Canadell et al. PNAS 2007

how do we know these numbers1
How do we know these numbers?
  • Record CO2 emissions
  • Measure CO2 in the atmosphere
how do we know these numbers2
How do we know these numbers?
  • Record CO2 emissions
  • Measure CO2 in the atmosphere
  • Measure CO2 in the oceans
  • Estimate from small-scale land measurements
  • Infer from spatial pattern and isotopes of atmospheric CO2
how do we know these numbers3
How do we know these numbers?
  • Record CO2 emissions
  • Measure CO2 in the atmosphere
  • Measure CO2 in the oceans
  • Estimate from small-scale land measurements
  • Infer from spatial pattern and isotopes of atmospheric CO2
  • Measure atmospheric O2
the link between o 2 and co 2
The link between O2 and CO2

CO2 = Land biota + Industry + Ocean

DO2 = Land biota + Industry

the link between o 2 and co 21
The link between O2 and CO2

CO2 = Land biota + Industry + Ocean

DO2 = Land biota + Industry

the link between o 2 and co 22
The link between O2 and CO2

CO2 = Land biota + Industry + Ocean

DO2 = Land biota + Industry

summary
Summary
  • Important questions require excellent atmospheric measurements
summary1
Summary
  • Important questions require excellent atmospheric measurements
  • Excellent measurements require intelligent weighting of experimental evidence
summary2
Summary
  • Important questions require excellent atmospheric measurements
  • Excellent measurements require intelligent weighting of experimental evidence
  • I have abundant data. Intelligence, on the other hand…

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