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Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale

Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale is a science project.

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Key Facts

  • Start time: September 1, 2019[1]
  • End time: August 31, 2021[2]
  • Participant: University of Tartu[3]
  • Short name: GLOMODAT[4]
  • Budget: 148582.8 euro[5]
  • Funding scheme: Horizon 2020[6]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [1] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [4] ↑ . wikidata.org.
  5. [5] ↑ . wikidata.org.
  6. [6] ↑ . wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale. Retrieved October 8, 2026, from https://4ort.xyz/entity/enhancing-data-fusion-parallelisation-for-hydrological-modelling-and-estimating-sensitivity-to-spatial-parameterization-
MLA “Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/enhancing-data-fusion-parallelisation-for-hydrological-modelling-and-estimating-sensitivity-to-spatial-parameterization-.
BibTeX @misc{4ortxyz_enhancing-data-fusion-parallelisation-for-hydrological-modelling-and-estimating-sensitivity-to-spatial-parameterization-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing data fusion, parallelisation for hydrological modelling and estimating sensitivity to spatial parameterization of SWAT to model nitrogen and phosphorus runoff at local and global scale}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-data-fusion-parallelisation-for-hydrological-modelling-and-estimating-sensitivity-to-spatial-parameterization-}, note = {Accessed: 2026-10-08}}
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