Articles | Volume 26, issue 18
https://doi.org/10.5194/hess-26-4773-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-26-4773-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opinion article
| 
29 Sep 2022
Opinion article |
| 29 Sep 2022
| 29 Sep 2022
HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists
Center Agriculture Food Environment (C3A), University of Trento, Trento, Italy
Giuseppe Formetta
Department of Civil, Environmental and Mechanical Engineering (DICAM), Trento, Italy
Marialaura Bancheri
Institute for Mediterranean Agricultural and Forestry Systems (ISAFOM), National Research Council (CNR), Portici, Italy
Niccolò Tubini
Department of Civil, Environmental and Mechanical Engineering (DICAM), Trento, Italy
Concetta D'Amato
Center Agriculture Food Environment (C3A), University of Trento, Trento, Italy
Olaf David
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
Christian Massari
National Research Council, Research Institute for Geo-Hydrological Protection, Perugia, Italy
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- A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) H. Henriksen et al. 10.3390/w15010025
- Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event A. Ricardo et al. 10.5194/essd-16-375-2024
- Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
- Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. 10.1016/j.jhydrol.2023.130587
- Digital twins of the Earth: can they keep up? C. Tague 10.3389/fsci.2024.1371049
- Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index Y. Su et al. 10.1016/j.jhydrol.2024.132012
- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- Towards an IoT-Enabled Digital Earth for SDGs: The Data Quality Challenge M. Syed et al. 10.1109/ACCESS.2024.3478813
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes 10.1016/j.jhydrol.2023.129177
- Determination of groundwater potential zones using geographic information systems and remote sensing in Lupane District, Zimbabwe B. Chisadza et al. 10.1002/ird.2741
- Flood generation: process patterns from the raindrop to the ocean G. Blöschl 10.5194/hess-26-2469-2022
11 citations as recorded by crossref.
- Mapping and understanding Earth: Open access to digital geoscience data and knowledge supports societal needs and UN sustainable development goals K. Hinsby et al. 10.1016/j.jag.2024.103835
- A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin) H. Henriksen et al. 10.3390/w15010025
- Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event A. Ricardo et al. 10.5194/essd-16-375-2024
- Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects S. Piccolroaz et al. 10.1029/2023RG000816
- Multi-model hydrological reference dataset over continental Europe and an African basin B. Droppers et al. 10.1038/s41597-024-03825-9
- Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. 10.1016/j.jhydrol.2023.130587
- Digital twins of the Earth: can they keep up? C. Tague 10.3389/fsci.2024.1371049
- Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index Y. Su et al. 10.1016/j.jhydrol.2024.132012
- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- Towards an IoT-Enabled Digital Earth for SDGs: The Data Quality Challenge M. Syed et al. 10.1109/ACCESS.2024.3478813
- Large scale hydrologic and tracer aided modelling: A review T. Stadnyk & T. Holmes 10.1016/j.jhydrol.2023.129177
2 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
The
Digital Earth(DE) metaphor is very useful for both end users and hydrological modelers. We analyse different categories of models, with the view of making them part of a Digital eARth Twin Hydrology system (called DARTH). We also stress the idea that DARTHs are not models in and of themselves, rather they need to be built on an appropriate information technology infrastructure. It is remarked that DARTHs have to, by construction, support the open-science movement and its ideas.
The
Digital Earth(DE) metaphor is very useful for both end users and hydrological modelers. We...
Special issue