Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations

Cordeiro, Marcos R. C.; Lelyk, Glenn; Kröbel, Roland; Legesse, Getahun; Faramarzi, Monireh; Masud, Mohammad Badrul; McAllister, Tim

doi:https://doi.org/10.5194/essd-10-1673-2018

Articles | Volume 10, issue 3

https://doi.org/10.5194/essd-10-1673-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-1673-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 3

Review article

|

13 Sep 2018

Review article |

| 13 Sep 2018

Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations

Marcos R. C. Cordeiro, Glenn Lelyk, Roland Kröbel, Getahun Legesse, Monireh Faramarzi, Mohammad Badrul Masud, and Tim McAllister

Supplement

https://doi.org/10.5194/essd-10-1673-2018-supplement

Data sets

Deriving Canada-wide soils dataset for use in Soil and Water Assessment Tool (SWAT) M. R. C. Cordeiro, G. Lelyk, R. Kröbel, G. Legesse, M. Faramarzi, M. B. Masud, and T. McAllister https://doi.org/10.1594/PANGAEA.877298

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Short summary

The Soil and Water Assessment Tool (SWAT) is one of the most used hydrological models worldwide. Lack of soil datasets in a SWAT-ready format hinders application of this model. This work discusses the preparation of a soil dataset for the agricultural extent of Canada compiled from the publicly available Soil Landscapes of Canada (SLC) database. Estimations of the hydrologic soil groups and erodibility factor variables not reported in the SLC database are important contributions of this work.