Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 12
Articles | Volume 18, issue 12
https://doi.org/10.5194/gmd-18-3857-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-3857-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 12
Methods for assessment of models
 | 
30 Jun 2025
Methods for assessment of models |  | 30 Jun 2025

Estimation of above- and below-ground ecosystem parameters for DVM-DOS-TEM v0.7.0 using MADS v1.7.3

Elchin E. Jafarov, Hélène Genet, Velimir V. Vesselinov, Valeria Briones, Aiza Kabeer, Andrew L. Mullen, Benjamin Maglio, Tobey Carman, Ruth Rutter, Joy Clein, Chu-Chun Chang, Dogukan Teber, Trevor Smith, Joshua M. Rady, Christina Schädel, Jennifer D. Watts, Brendan M. Rogers, and Susan M. Natali

Viewed

Total article views: 2,776 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,274 270 232 2,776 99 66 138
  • HTML: 2,274
  • PDF: 270
  • XML: 232
  • Total: 2,776
  • Supplement: 99
  • BibTeX: 66
  • EndNote: 138
Views and downloads (calculated since 25 Sep 2024)
Cumulative views and downloads (calculated since 25 Sep 2024)

Viewed (geographical distribution)

Total article views: 2,776 (including HTML, PDF, and XML) Thereof 2,693 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2025
Download
Short summary
This study improves how we tune ecosystem models to reflect carbon and nitrogen storage in Arctic soils. By comparing model outputs with data from a black spruce forest in Alaska, we developed a clearer, more efficient method of matching observations. This is a key step towards understanding how Arctic ecosystems may respond to warming and release carbon, helping make future climate predictions more reliable.
Read more
Share