Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model
Abstract
Abstract Land surface models, like the Common Land Model component of the ParFlow integrated hydrologic model (PF-CLM), are used to estimate transpiration from vegetated surfaces. Transpiration rates quantify how much water moves from the subsurface through the plant and into the atmosphere. This rate is controlled by the stomatal resistance term in land surface models. The Ball–Berry stomatal resistance parameterization relies, in part, on the rate of photosynthesis, and together these equations require the specification of 20 input parameters. Here, the active subspace method is applied to 2100 year-long PF-CLM simulations, forced by atmospheric data from California, Colorado, and Oklahoma, to identify which input parameters are important and how they relate to three quantities of interest: transpiration, stomatal resistance from the sunlit portion of the canopy, and stomatal resistance from the shaded portion. The slope (mp) and intercept (bp) parameters associated with the Ball–Berry parameterization are consistently important for all locations, along with five parameters associated with ribulose bisphosphate carboxylase/oxygenase (RuBisCO)- and light-limited rates of photosynthesis [CO2 Michaelis–Menten constant at 25°C (kc25), maximum ratio of oxygenation to carboxylation (ocr), quantum efficiency at 25°C (qe25), maximum rate of carboxylation at 25°C (vcmx25), and multiplier in the denominator of the equation usedmore »
- Authors:
-
- Hydrologic Science and Engineering Program, and Department of Geology and Geological Engineering, Colorado School of Mines, Golden, Colorado
- Hydrologic Science and Engineering Program, and Department of Geology and Geological Engineering, and Integrated Groundwater Modeling Center, Colorado School of Mines, Golden, Colorado
- Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado
- Publication Date:
- Research Org.:
- Colorado School of Mines, Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR). Scientific Discovery through Advanced Computing (SciDAC)
- OSTI Identifier:
- 1575313
- Alternate Identifier(s):
- OSTI ID: 1537027
- Grant/Contract Number:
- SC-0011077; SC0011077
- Resource Type:
- Published Article
- Journal Name:
- Journal of Hydrometeorology
- Additional Journal Information:
- Journal Name: Journal of Hydrometeorology Journal Volume: 18 Journal Issue: 3; Journal ID: ISSN 1525-755X
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Sensitivity studies; Hydrologic models; Model evaluation/performance
Citation Formats
Jefferson, Jennifer L., Maxwell, Reed M., and Constantine, Paul G. Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model. United States: N. p., 2017.
Web. doi:10.1175/JHM-D-16-0053.1.
Jefferson, Jennifer L., Maxwell, Reed M., & Constantine, Paul G. Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model. United States. https://doi.org/10.1175/JHM-D-16-0053.1
Jefferson, Jennifer L., Maxwell, Reed M., and Constantine, Paul G. Thu .
"Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model". United States. https://doi.org/10.1175/JHM-D-16-0053.1.
@article{osti_1575313,
title = {Exploring the Sensitivity of Photosynthesis and Stomatal Resistance Parameters in a Land Surface Model},
author = {Jefferson, Jennifer L. and Maxwell, Reed M. and Constantine, Paul G.},
abstractNote = {Abstract Land surface models, like the Common Land Model component of the ParFlow integrated hydrologic model (PF-CLM), are used to estimate transpiration from vegetated surfaces. Transpiration rates quantify how much water moves from the subsurface through the plant and into the atmosphere. This rate is controlled by the stomatal resistance term in land surface models. The Ball–Berry stomatal resistance parameterization relies, in part, on the rate of photosynthesis, and together these equations require the specification of 20 input parameters. Here, the active subspace method is applied to 2100 year-long PF-CLM simulations, forced by atmospheric data from California, Colorado, and Oklahoma, to identify which input parameters are important and how they relate to three quantities of interest: transpiration, stomatal resistance from the sunlit portion of the canopy, and stomatal resistance from the shaded portion. The slope (mp) and intercept (bp) parameters associated with the Ball–Berry parameterization are consistently important for all locations, along with five parameters associated with ribulose bisphosphate carboxylase/oxygenase (RuBisCO)- and light-limited rates of photosynthesis [CO2 Michaelis–Menten constant at 25°C (kc25), maximum ratio of oxygenation to carboxylation (ocr), quantum efficiency at 25°C (qe25), maximum rate of carboxylation at 25°C (vcmx25), and multiplier in the denominator of the equation used to compute the light-limited rate of photosynthesis (wj1)]. The importance of these input parameters, quantified by the active variable weight, and the relationship between the input parameters and quantities of interest vary seasonally and diurnally. Input parameter values influence transpiration rates most during midday, summertime hours when fluxes are large. This research informs model users about which photosynthesis and stomatal resistance parameters should be more carefully selected. Quantifying sensitivities associated with the stomatal resistance term is necessary to better understand transpiration estimates from land surface models.},
doi = {10.1175/JHM-D-16-0053.1},
journal = {Journal of Hydrometeorology},
number = 3,
volume = 18,
place = {United States},
year = {Thu Mar 09 00:00:00 EST 2017},
month = {Thu Mar 09 00:00:00 EST 2017}
}
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https://doi.org/10.1175/JHM-D-16-0053.1
https://doi.org/10.1175/JHM-D-16-0053.1
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