Cargando…
Caravan - A global community dataset for large-sample hydrology
High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist for specific countries or regions, however these datasets lack standardization, which makes global studies difficult. This p...
Autores principales: | Kratzert, Frederik, Nearing, Grey, Addor, Nans, Erickson, Tyler, Gauch, Martin, Gilon, Oren, Gudmundsson, Lukas, Hassidim, Avinatan, Klotz, Daniel, Nevo, Sella, Shalev, Guy, Matias, Yossi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887008/ https://www.ncbi.nlm.nih.gov/pubmed/36717577 http://dx.doi.org/10.1038/s41597-023-01975-w |
Ejemplares similares
-
A neural encoder for earthquake rate forecasting
por: Zlydenko, Oleg, et al.
Publicado: (2023) -
A Week in a Caravan
Publicado: (1908) -
Multiorder hydrologic Position for Europe — a Set of Features for Machine Learning and Analysis in Hydrology
por: Nölscher, Maximilian, et al.
Publicado: (2022) -
A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019
por: Tran, Hoang, et al.
Publicado: (2022) -
Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States
por: Sun, Ning, et al.
Publicado: (2022)