Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 16
Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6337-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6337-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 16
Model description paper
 | 
30 Aug 2024
Model description paper |  | 30 Aug 2024

Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0)

Huajie Zhu, Mousong Wu, Fei Jiang, Michael Vossbeck, Thomas Kaminski, Xiuli Xing, Jun Wang, Weimin Ju, and Jing M. Chen

Viewed

Total article views: 1,514 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,205 245 64 1,514 114 55 51
  • HTML: 1,205
  • PDF: 245
  • XML: 64
  • Total: 1,514
  • Supplement: 114
  • BibTeX: 55
  • EndNote: 51
Views and downloads (calculated since 27 Sep 2023)
Cumulative views and downloads (calculated since 27 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,514 (including HTML, PDF, and XML) Thereof 1,441 with geography defined and 73 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Apr 2025
Download
Short summary
In this work, we developed the Nanjing University Carbon Assimilation System (NUCAS v1.0). Data assimilation experiments were conducted to demonstrate the robustness and investigate the feasibility and applicability of NUCAS. The assimilation of ecosystem carbonyl sulfide (COS) fluxes improved the model performance in gross primary productivity, evapotranspiration, and sensible heat, showing that COS provides constraints on parameters relevant to carbon-, water-, and energy-related processes.
Read more
Share