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Predicting ozone uptake from meteorological and environmental variables
Todd S. Fredericksen
, John M. Skelly
, K. R. Snyder
, Kim C. Steiner
, T. E. Kolb
Forestry, School of
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Contribution to journal
›
Article
›
peer-review
4
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Keyphrases
Meteorological Variables
100%
Ozone Uptake
100%
Environmental Variables
100%
Stomatal Conductance
50%
Wind Speed
50%
Ozone Concentration
37%
Humidity
37%
Air Temperature
37%
Ambient Ozone Concentration
37%
Uptake Rate
25%
Xylem Water Potential
25%
Pennsylvania
12%
Treewidth
12%
Growing Season
12%
Meteorological Data
12%
North Central
12%
Foliar
12%
Hourly Measurements
12%
Concurrent Measurements
12%
Black Cherry
12%
Environmental Data
12%
Daily Averages
12%
Leaf-to-air Vapor Pressure Deficit
12%
Prunus Serotina
12%
Prediction Equation
12%
Midday Leaf Water Potential
12%
Cherry Tree
12%
Temperature-humidity Index
12%
Leaf Temperature
12%
Best Prediction
12%
Canopy Tree
12%
Vapor Pressure Deficit
12%
Photosynthetically Active Radiation
12%
Predawn Leaf Water Potential
12%
Agricultural and Biological Sciences
Stomatal Conductance
100%
Wind Speed
100%
Relative Humidity
75%
Leaf Water Potential
50%
Xylem Water Potential
50%
Vapor Pressure
50%
Growing Season
25%
Meteorological Data
25%
Prunus serotina
25%
Cherry
25%
Photosynthetically Active Radiation
25%