Published February 21, 2020 | Version v.1.1
Software Open

EstSoil-EH codes supplement

Creators

  • 1. University of Tartu

Description

We added Dask Python parallelization and updated codes regarding the parsing of the textures, coarse fragments, humus horizons and layer depths.

For more information on the development of this dataset look for "EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia", Alexander Kmoch, Arno Kanal†, Alar Astover, Ain Kull, Holger Virro, Aveliina Helm, Meelis Pärtel, Ivika Ostonen and Evelyn Uuemaa, 2021, Earth Syst. Sci. Data, 13, 83–97, https://doi.org/10.5194/essd-13-83-2021 

Notes

This research has been supported by the Marie Skłodowska-Curie Actions individual fellowships under the Horizon 2020 Programme grant agreement number 795625, the Mobilitas Pluss postdoctoral researcher grant number MOBJD233 and grant numbers PRG352, PRG609, and PRG874 of the Estonian Research Council (ETAG), the European Regional Development Fund (Centre of Excellence EcolChange), the NUTIKAS programme of the Archimedes foundation, and by the Estonian Environmental Investment Centre.

Files

LandscapeGeoinformatics/EstSoil-EH_sw_supplement-v.1.1.zip

Files (11.9 MB)

Additional details

Related works

Compiles
Dataset: 10.5281/zenodo.3473289 (DOI)
Is derived from
Software: https://github.com/LandscapeGeoinformatics/EstSoil-EH_sw_supplement/tree/v.1.1 (URL)
Is referenced by
Journal article: 10.5194/essd-13-83-2021 (DOI)

Funding

GLOMODAT – 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 795625
European Commission