Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model

Massoud, Elias C.; Xu, Chonggang; Fisher, Rosie; Knox, Ryan; Walker, Anthony; Serbin, Shawn; Christoffersen, Brad; Holm, Jennifer; Kueppers, Lara; Ricciuto, Dan; Wei, Liang; Johnson, Daniel; Chambers, Jeff; Koven, Charlie; McDowell, Nate; Vrugt, Jasper A.

doi:10.15486/ngt/1497413

Title: Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model

Dataset
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Abstract

This dataset includes outputs of 5000 simulations of CLM4.5(ED) to quantify the sensitivity of the model outputs to changes in model parameters using the Fourier Amplitude Sensitivity Test (FAST). Each simulation is generated by simultaneously sampling from 15% deviations of the default values of >80 vegetation parameters. This dataset includes 1) model codes of CLM4.5(ED) used for the sensitivity analysis; 2) the parameter samples; and 3) the corresponding model outputs of vegetation status (e.g., Gross Primary Production, Leaf Area Index and Biomass) and demography (e.g., diameter growth and mortality rates). The outputs are organized to the format of the FAST toolbox (https://sites.google.com/site/xuchongang/uasatoolbox).

Authors:

Massoud, Elias C.; Xu, Chonggang; Fisher, Rosie; Knox, Ryan; Walker, Anthony; Serbin, Shawn; Christoffersen, Brad; Holm, Jennifer; Kueppers, Lara; Ricciuto, Dan; Wei, Liang; Johnson, Daniel; Chambers, Jeff; Koven, Charlie; McDowell, Nate; Vrugt, Jasper A.

JPL; Lawrence Berkeley National Lab
Los Alamos National Lab
National Ctr for Atmospheric Res
Lawrence Berkeley National Lab
Oak Ridge National Lab
Brookhaven National Lab
LBNL
Pacific Northwest National Lab
Department of Civil and Environmental Engineering, University of California Irvine

Publication Date:: Tue Jan 01 04:00:00 UTC 2019

Other Number(s):: NGT0091

Research Org.:: Next-Generation Ecosystem Experiments Tropics; Los Alamos National Laboratory

Sponsoring Org.:: NGEE tropics

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1497413

DOI:: https://doi.org/10.15486/ngt/1497413

Citation Formats


                    Massoud, Elias C., Xu, Chonggang, Fisher, Rosie, Knox, Ryan, Walker, Anthony, Serbin, Shawn, Christoffersen, Brad, Holm, Jennifer, Kueppers, Lara, Ricciuto, Dan, Wei, Liang, Johnson, Daniel, Chambers, Jeff, Koven, Charlie, McDowell, Nate, and Vrugt, Jasper A. Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model.  United States: N. p., 2019. 
        Web.  doi:10.15486/ngt/1497413.

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                    Massoud, Elias C., Xu, Chonggang, Fisher, Rosie, Knox, Ryan, Walker, Anthony, Serbin, Shawn, Christoffersen, Brad, Holm, Jennifer, Kueppers, Lara, Ricciuto, Dan, Wei, Liang, Johnson, Daniel, Chambers, Jeff, Koven, Charlie, McDowell, Nate, & Vrugt, Jasper A. Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model.  United States.  doi:https://doi.org/10.15486/ngt/1497413

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                    Massoud, Elias C., Xu, Chonggang, Fisher, Rosie, Knox, Ryan, Walker, Anthony, Serbin, Shawn, Christoffersen, Brad, Holm, Jennifer, Kueppers, Lara, Ricciuto, Dan, Wei, Liang, Johnson, Daniel, Chambers, Jeff, Koven, Charlie, McDowell, Nate, and Vrugt, Jasper A. 2019.  
"Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model".  United States.  doi:https://doi.org/10.15486/ngt/1497413.  https://www.osti.gov/servlets/purl/1497413. Pub date:Tue Jan 01 04:00:00 UTC 2019

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@article{osti_1497413,

  title        = {Identification of key parameters controlling demographically structured vegetation dynamics in a Land Surface Model},

  author       = {Massoud, Elias C. and Xu, Chonggang and Fisher, Rosie and Knox, Ryan and Walker, Anthony and Serbin, Shawn and Christoffersen, Brad and Holm, Jennifer and Kueppers, Lara and Ricciuto, Dan and Wei, Liang and Johnson, Daniel and Chambers, Jeff and Koven, Charlie and McDowell, Nate and Vrugt, Jasper A.},

  abstractNote = {This dataset includes outputs of 5000 simulations of CLM4.5(ED) to quantify the sensitivity of the model outputs to changes in model parameters using the Fourier Amplitude Sensitivity Test (FAST). Each simulation is generated by simultaneously sampling from 15% deviations of the default values of >80 vegetation parameters. This dataset includes 1) model codes of CLM4.5(ED) used for the sensitivity analysis; 2) the parameter samples; and 3) the corresponding model outputs of vegetation status (e.g., Gross Primary Production, Leaf Area Index and Biomass) and demography (e.g., diameter growth and mortality rates). The outputs are organized to the format of the FAST toolbox (https://sites.google.com/site/xuchongang/uasatoolbox).},

  doi          = {10.15486/ngt/1497413},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 01 04:00:00 UTC 2019},

  month        = {Tue Jan 01 04:00:00 UTC 2019}

}

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DOI: https://doi.org/10.15486/ngt/1497413

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Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)

Journal Article Massoud, Elias C. ; Xu, Chonggang ; Fisher, Rosie A. ; ... - Geoscientific Model Development (Online)

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