Data from: The role of spatial averaging scale in leaf-to-canopy scaling of non-linear processes in homogeneous canopies
Data files
Jun 22, 2021 version files 21.67 GB
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analysis_code.zip
18.36 KB
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input_canopies.zip
2.79 GB
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leafoutput_almond_AR1-169.zip
5.48 GB
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leafoutput_almond_AR225_solar_position.zip
4.20 GB
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leafoutput_almond_AR225.zip
2.09 GB
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leafoutput_grape_AR1-169.zip
4.72 GB
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leafoutput_grape_AR225.zip
2.22 GB
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model_runs_code.zip
16.02 KB
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processed_model_output.zip
182.95 MB
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README.txt
20.89 KB
Jul 14, 2021 version files 21.67 GB
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analysis_code.zip
18.36 KB
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input_canopies.zip
2.79 GB
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leafoutput_almond_AR1-169.zip
5.48 GB
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leafoutput_almond_AR225_solar_position.zip
4.20 GB
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leafoutput_almond_AR225.zip
2.09 GB
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leafoutput_grape_AR1-169.zip
4.72 GB
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leafoutput_grape_AR225.zip
2.22 GB
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model_runs_code.zip
16.02 KB
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processed_model_output.zip
182.95 MB
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README.txt
21.34 KB
Abstract
Canopy biophysical models require averaging fluxes over some spatial scale (sub-leaf, leaf, sub-crown, crown, whole-canopy, etc.). Choice of averaging scale can be important when modeling processes like stomatal conductance and photosynthesis that have a non-linear response to environmental variables such as light interception. The model results archived here were used to quantify errors in canopy-level flux simulations due to averaging scale choice. A detailed leaf-resolving model was used to simulate light interception for a series of homogeneous canopies with differing canopy structure. Radiation model parameters and non-linearity of the light response were also varied. Averaging over individual leaves and over various sub-leaf resolutions were compared with averaging approaches used in multi-layer and two-leaf canopy models.
Comprehensive usage information is available in README.txt.