Work Description

Title: JGR Biogeosciences 2019 Gridded and single-point CLM5 dataset Open Access Deposited

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Attribute Value
Methodology
  • We conducted two sets of simulations with the Community Land Model (CLM) version 5 (file - CLM5BGC_1997-2016_0.5deg.nc): one regional, covering North America, forced with the CRUNCEP v7 atmospheric dataset, and spanning the period from 01-01-2017 to 31-12-2016; and one set of single-point simulations over nine Fluxnet (file - PTCLM_Fluxnet.zip) sites forced with their atmospheric flux measurements.
Description
  • Model simulations were conducted to investigate the role of soil moisture on the terrestrial carbon and water cycles. The data are composed of NetCDF files generated by the simulations that contain the data variables analyzed in the paper.

  • CLM5 Documentation -  http://www.cesm.ucar.edu/models/cesm2/land/.
Creator
Depositor
  • thiagods@umich.edu
Contact information
Discipline
Funding agency
  • National Aeronautics and Space Administration (NASA)
Keyword
Date coverage
  • 1990 to 2016
Citations to related material
  • Santos, T. dos, Keppel-Aleks, G., Roo, R. D., & Steiner, A. L. (2021). Can Land Surface Models Capture the Observed Soil Moisture Control of Water and Carbon Fluxes in Temperate-To-Boreal Forests? Journal of Geophysical Research: Biogeosciences, 126(4), e2020JG005999. https://doi.org/10.1029/2020JG005999
Resource type
Last modified
  • 08/28/2021
Published
  • 06/13/2019
DOI
  • https://doi.org/10.7302/keth-yp29
License
To Cite this Work:
dos Santos, T., Steiner, A., Keppel-Aleks, G., De Roo, R. (2019). JGR Biogeosciences 2019 Gridded and single-point CLM5 dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/keth-yp29

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