U.S. Department of EnergyOffice of Scientific and Technical Information
Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates
Abstract
Processed global terrestrial gross primary production (GPP) from three terrestrial biosphere models (TBMs). Two simulations were run with each model, one that selects the rate limiting process of photosynthesis based on the minimum of the potential rates (following Farquhar et al. 1980) and the other that uses quadratic smoothing between the potential rates (following Collatz et al. 1991). The three TBMs are: 1) the Energy Exascale Earth System Model (E3SM) land model (ELM) (release: v1.1.0) (Burrows et al., 2020), a coupled carbon, nitrogen, and phosphorus model with sun/shade big-leaf canopy photosynthesis scaling. 2) The Functionally Assembled Terrestrial Ecosystem Simulator (FATES, tag: sci.1.30.0_api.8.0.0) (Koven et al., 2019), coupled with the Community Land Model (CLM, version 5; Lawrence et al., 2019), a carbon-only vegetation demography model with multi-leaf and multi-canopy layers for scaling photosynthesis, and with a leaf area index (LAI) optimisation scheme. 3) The Sheffield Dynamic Global Vegetation Model (SDGVM, tag: Walkeretal2020_GCB), a carbon-only model with multi-leaf-layer canopy photosynthesis scaling and also with an LAI optimisation scheme (Walker et al., 2017; Woodward & Lomas, 2004). These data were generated to evaluate the effect of Collatz smoothing of limiting rates on simulated GPP across a range of terrestrial biosphere models. Analysis ofmore »
- Authors:
-
;
;
- Oak Ridge National Laboratory; ESS-DIVE
- National Center for Atmospheric Research (NCAR)
- Oak Ridge National Laboratory
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; Next-Generation Ecosystem Experiments (NGEE) Tropics
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS; EARTH SCIENCE > BIOSPHERE > VEGETATION > CARBON; gpp
- OSTI Identifier:
- 1682253
- DOI:
- https://doi.org/10.15485/1682253
Citation Formats
Walker, Anthony P, Fisher, Rosie A, and Ricciuto, Daniel M. Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates. United States: N. p., 2019.
Web. doi:10.15485/1682253.
Walker, Anthony P, Fisher, Rosie A, & Ricciuto, Daniel M. Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates. United States. doi:https://doi.org/10.15485/1682253
Walker, Anthony P, Fisher, Rosie A, and Ricciuto, Daniel M. 2019.
"Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates". United States. doi:https://doi.org/10.15485/1682253. https://www.osti.gov/servlets/purl/1682253. Pub date:Tue Dec 31 23:00:00 EST 2019
@article{osti_1682253,
title = {Global gross primary production simulated by three terrestrial biosphere models to analyse smoothing of limiting rates},
author = {Walker, Anthony P and Fisher, Rosie A and Ricciuto, Daniel M},
abstractNote = {Processed global terrestrial gross primary production (GPP) from three terrestrial biosphere models (TBMs). Two simulations were run with each model, one that selects the rate limiting process of photosynthesis based on the minimum of the potential rates (following Farquhar et al. 1980) and the other that uses quadratic smoothing between the potential rates (following Collatz et al. 1991). The three TBMs are: 1) the Energy Exascale Earth System Model (E3SM) land model (ELM) (release: v1.1.0) (Burrows et al., 2020), a coupled carbon, nitrogen, and phosphorus model with sun/shade big-leaf canopy photosynthesis scaling. 2) The Functionally Assembled Terrestrial Ecosystem Simulator (FATES, tag: sci.1.30.0_api.8.0.0) (Koven et al., 2019), coupled with the Community Land Model (CLM, version 5; Lawrence et al., 2019), a carbon-only vegetation demography model with multi-leaf and multi-canopy layers for scaling photosynthesis, and with a leaf area index (LAI) optimisation scheme. 3) The Sheffield Dynamic Global Vegetation Model (SDGVM, tag: Walkeretal2020_GCB), a carbon-only model with multi-leaf-layer canopy photosynthesis scaling and also with an LAI optimisation scheme (Walker et al., 2017; Woodward & Lomas, 2004). These data were generated to evaluate the effect of Collatz smoothing of limiting rates on simulated GPP across a range of terrestrial biosphere models. Analysis of results can be found in Walker et al. (2020). This dataset is comprised of R scripts to process data and produce figures and .RDS files, a binary format specific to R and read with the 'readRDS' function.},
doi = {10.15485/1682253},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2019},
month = {Tue Dec 31 23:00:00 EST 2019}
}