Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 7
Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2761-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2761-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 7
Development and technical paper
 | 
17 Jul 2017
Development and technical paper |  | 17 Jul 2017

Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1)

Joe R. Melton, Reinel Sospedra-Alfonso, and Kelly E. McCusker

Viewed

Total article views: 3,567 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,442 989 136 3,567 140 154
  • HTML: 2,442
  • PDF: 989
  • XML: 136
  • Total: 3,567
  • BibTeX: 140
  • EndNote: 154
Views and downloads (calculated since 03 Feb 2017)
Cumulative views and downloads (calculated since 03 Feb 2017)

Viewed (geographical distribution)

Total article views: 3,567 (including HTML, PDF, and XML) Thereof 3,365 with geography defined and 202 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Nov 2024
Download
Short summary
Climate models have large grid cells due to the computational cost of running these complex models. Within grid cells like these, the land surface can vary dramatically impacting the exchange of water, carbon, and energy between the atmosphere and land. We use a technique to determine natural clusters of high-resolution soil texture within large grid cells and use them as inputs to our model. We find relatively low sensitivity to soil texture changes except in very dry regions and peatlands.
Read more