Paper · 1996 · Journal of Geophysical Research Atmospheres

Evaluation of forest canopy models for estimating isoprene emissions

Brian Lamb; Thomas Pierce; Dennis Baldocchi; et al.

6
claims
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verbatim quotes
70
citations
3
research areas
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Open access

Abstract

During the summer of 1992, isoprene emissions were measured in a mixed deciduous forest near Oak Ridge, Tennessee. Measurements were aimed at the experimental scale‐up of emissions from the leaf level to the forest canopy to the mixed layer. Results from the scale‐up study are compared to different canopy models for determining the leaf microclimate as input to isoprene emission algorithms. These include (1) no canopy effects, (2) a simple vertical scaling canopy model with a leaf energy balance, and (3) a numerical canopy model which accounts for leaf‐sun geometries, photosynthesis, respiration, transpiration, and gas transport in the canopy. Initial evaluation of the models was based upon a standard emission rate factor of 90 μgC g −1 hr −1 (0.42 nmol g −1 s −1 ) taken from leaf cuvette measurements and a biomass density factor of 203 g m −2 taken from biomass surveys and a flux footprint analysis. The results indicated that predicted fluxes were consistent among the models to within approximately ±20%, but that the models overestimated the mean flux by about a factor of 2 and overestimated the maximum observed flux by 30 to 50%. Adjusting the standard emission factor and biomass density each downward by 20% yielded predicted means approximately 20% greater than the observed means and predicted maxima approximately 25% less than the observed maxima. Accounting for changes in biomass density as a function of direction upwind of the tower improved the overall model performance.

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Claims 6

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted isoprene fluxes agreed among canopy models within about 20%.

Outcome
predicted fluxese0
Value
approximately ±20%e0
Comparator
modelse0

Not reportedTaxon

Verbatim

e0

“predicted fluxes were consistent among the models to within approximately ±20%”

✓ located verbatim in the source · abstract, characters 941–1019 · show in text ↑
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Models overestimated mean observed flux by about twofold.

Outcome
mean fluxe0
Direction
overestimatede0
Value
a factor of 2e0

Not reportedTaxonComparator

Verbatim

e0

“the models overestimated the mean flux by about a factor of 2”

✓ located verbatim in the source · abstract, characters 1030–1091 · show in text ↑
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Models overestimated maximum observed flux by 30 to 50%.

Outcome
maximum observed fluxe0
Direction
overestimatede0
Value
30 to 50%e0

Not reportedTaxonComparator

Verbatim

e0

“overestimated the maximum observed flux by 30 to 50%”

✓ located verbatim in the source · abstract, characters 1096–1148 · show in text ↑
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Reducing the emission factor and biomass density by 20% gave predicted means about 20% above observations.

Outcome
predicted meanse0
Direction
greatere0
Value
approximately 20%e0
Comparator
observed meanse0

Not reportedTaxon

Verbatim

e0

“Adjusting the standard emission factor and biomass density each downward by 20% yielded predicted means approximately 20% greater than the observed means”

✓ located verbatim in the source · abstract, characters 1150–1303 · show in text ↑
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

That adjustment gave predicted maxima about 25% below observations.

Outcome
predicted maximae0
Direction
lesse0
Value
approximately 25%e0
Comparator
observed maximae0

Not reportedTaxon

Verbatim

e0

“predicted maxima approximately 25% less than the observed maxima”

✓ located verbatim in the source · abstract, characters 1308–1372 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Direction-specific biomass density improved overall model performance.

Outcome
overall model performancee0
Direction
improvede0

Not reportedTaxonComparatorValue

Verbatim

e0

“Accounting for changes in biomass density as a function of direction upwind of the tower improved the overall model performance”

✓ located verbatim in the source · abstract, characters 1374–1501 · show in text ↑