SOIL
SOIL
SOIL
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-10-587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
Original research article
 | 
09 Sep 2024
Original research article |  | 09 Sep 2024

Addressing soil data needs and data gaps in catchment-scale environmental modelling: the European perspective

Brigitta Szabó, Piroska Kassai, Svajunas Plunge, Attila Nemes, Péter Braun, Michael Strauch, Felix Witing, János Mészáros, and Natalja Čerkasova

Viewed

Total article views: 1,490 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,220 222 48 1,490 86 27 30
  • HTML: 1,220
  • PDF: 222
  • XML: 48
  • Total: 1,490
  • Supplement: 86
  • BibTeX: 27
  • EndNote: 30
Views and downloads (calculated since 12 Jan 2024)
Cumulative views and downloads (calculated since 12 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,490 (including HTML, PDF, and XML) Thereof 1,422 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 31 Mar 2025
Download
Short summary
This research introduces methods and tools for obtaining soil input data in European case studies for environmental models like SWAT+. With various available soil datasets and prediction methods, determining the most suitable is challenging. The study aims to (i) catalogue open-access datasets and prediction methods for Europe, (ii) demonstrate and quantify differences between prediction approaches, and (iii) offer a comprehensive workflow with open-source R codes for deriving missing soil data.
Read more
Share