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Research software . Software . 2020

EstSoil-EH codes supplement

Kmoch, Alexander;
Open Access
English
Published: 21 Feb 2020
Publisher: Zenodo
Abstract

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

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.

Subjects

soil, python, machine learning, geospatial

Related Organizations
Funded by
EC| GLOMODAT
Project
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
  • Funder: European Commission (EC)
  • Project Code: 795625
  • Funding stream: H2020 | MSCA-IF-EF-RI
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