Work Description

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

Attribute Value
  • We conducted two sets of simulations with the Community Land Model (CLM) version 5 (file - 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 - sites forced with their atmospheric flux measurements.
  • 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 -
Contact information
Funding agency
  • National Aeronautics and Space Administration (NASA)
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.
Resource type
Last modified
  • 08/28/2021
  • 06/13/2019
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.


This work is not a member of any user collections.

Files (Count: 2; Size: 5.46 GB)

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 5.46 GB may be too large to download directly. Consider using Globus (see below).

Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.