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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 44.6 MB | |
| Created: | Sep 16, 2020 at 2:20 a.m. | |
| Last updated: | Sep 16, 2020 at 8:04 a.m. (Metadata update) | |
| Published date: | Sep 16, 2020 at 8:04 a.m. | |
| DOI: | 10.4211/hs.0f0e3ee4300146f6b5becd915737f35f | |
| Citation: | See how to cite this resource | |
| Content types: | Model Program Content |
| Sharing Status: | Published |
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| Views: | 2002 |
| Downloads: | 76 |
| +1 Votes: | 1 other +1 this |
| Comments: | No comments (yet) |
Abstract
This include the global river discharges estimated using physically-based adaptive empirical localization method.
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Additional Metadata
| Name | Value |
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| MIGRATED_FROM | Model Program Resource |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Japan Society of Promotion of Science |
How to Cite
Revel, M., D. Ikeshima, D. Yamazaki, S. Kanae (2020). HydroDA, HydroShare, https://doi.org/10.4211/hs.0f0e3ee4300146f6b5becd915737f35f
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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