SoilX - Soil management to mitigate climate change-related precipitation eXtremes
Published October 17, 2024 | Version v1
Dataset Open

Supporting data to "Pedotransfer functions versus model structure: What drives uncertainty in agro-hydrological modelling?"

Authors/Creators

  • 1. ROR icon Agroscope
  • 2. ROR icon Oeschger Centre for Climate Change Research
  • 3. ROR icon Aarhus University
  • 4. ROR icon Uppsala University
  • 5. ROR icon BOKU University

Description

Supporting files to Pedotransfer functions versus model structure: What drives uncertainty in agro-hydrological modelling?

 Original publication. https://doi.org/10.5281/zenodo.14002494

Gitlab: SoilX / proj_uncertainty_PTF_soilX · GitLab or 10.5281/zenodo.14017708

 

Files

load_data_cwdm.csv

Files (416.6 MB)

Name Size
md5:bd8996a64345cf9757f75cffa9995be9
145.1 kB Preview Download
md5:a6dcac4f0e3daddcd0132afe94163abf
1.3 MB Preview Download
md5:536f9008920fb83880f0012a56559554
85.4 MB Preview Download
md5:1bb63b4f879481e2b67c625e2a6f0b2b
59.9 MB Preview Download
md5:57474655d6155c4de427ad10a5f03064
269.9 MB Preview Download

Additional details

Related works

Is supplement to
Peer review: 10.1111/ejss.70088 (DOI)
Software: 10.5281/zenodo.14017708 (DOI)

Funding

European Commission
EJP SOIL - Towards climate-smart sustainable management of agricultural soils 862695
European Commission
OPTAIN - OPtimal strategies to retAIN and re-use water and nutrients in small agricultural catchments across different soil-climatic regions in Europe 862756

Software

Repository URL
https://github.com/turekme/supp_to_paper_ptf_model_uncert.git
Programming language
R
Development Status
Active