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

Dataset · Tue Jan 01 04:00:00 EST 2019

DOI:https://doi.org/10.15486/ngt/1497413· OSTI ID:1497413

Massoud, Elias C. ^[1]; Xu, Chonggang ^[2]; Fisher, Rosie ^[3]; Knox, Ryan ^[4]; Walker, Anthony ^[5]; Serbin, Shawn ^[6]; Christoffersen, Brad ^[2]; Holm, Jennifer ^[7]; Kueppers, Lara ^[7]; Ricciuto, Dan ^[5]; Wei, Liang; Johnson, Daniel ^[2]; Chambers, Jeff ^[7]; Koven, Charlie ^[7]; McDowell, Nate ^[8]; Vrugt, Jasper A. ^[9]

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1. JPL; Lawrence Berkeley National Lab
2. Los Alamos National Lab
3. National Ctr for Atmospheric Res
4. Lawrence Berkeley National Lab
5. Oak Ridge National Lab
6. Brookhaven National Lab
7. LBNL
8. Pacific Northwest National Lab
9. Department of Civil and Environmental Engineering, University of California Irvine

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).

• Research Organization: Next-Generation Ecosystem Experiments Tropics; Los Alamos National Laboratory
• Sponsoring Organization: NGEE tropics
• OSTI ID: 1497413
• Report Number(s): NGT0091
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES