Random forest models for predicting the flow intermittence in the 6 European Drying River Networks

DOI

Random forest models to predict the state of flow (0=dry, 1=flowing) are the reach scales and at daily time step in the 6 European DRNs

R, 4.4.2

Identifier
DOI https://doi.org/10.57745/MHTN16
Related Identifier IsCitedBy https://doi.org/10.5194/hess-28-851-2024
Related Identifier IsCitedBy https://doi.org/10.5194/hess-2024-272
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/MHTN16
Provenance
Creator Mimeau, Louise ORCID logo; Künne, Annika ORCID logo; Devers, Alexandre ORCID logo; Branger, Flora ORCID logo; Kralisch, Sven (ORCID: 0000-0003-2895-540X); Vidal, Jean-Philippe ORCID logo
Publisher Recherche Data Gouv
Contributor Mimeau, Louise; Héraut, Louis; Datry, Thibault; Csabai, Zoltán; Polović, Luka; Bonada, Núria; Mykrä, Heikki; Pařil, Petr; DRYvER; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2025
Funding Reference H2020 European Research and Innovation action 869226
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Mimeau, Louise (INRAE, UR RiverLy, Villeurbanne, France)
Representation
Resource Type Model; Dataset
Format text/plain; application/x-rlang-transport
Size 3312; 4194237; 17820603; 134460; 699039; 218044; 3550649
Version 1.1
Discipline Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences