HydroDA
| Authors: | ${ author.name | nameWithoutCommas } ${ author.organization } ${ author.email } | |
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| Resource type: | Model Program 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.
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| DOI: | 10.4211/hs.0f0e3ee4300146f6b5becd915737f35f | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 288 |
| Downloads: | 13 |
| +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.
Subject Keywords
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Resource Specific
| Computational Engine | HydroDA-master.zip |
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| Software | HydroDA-master.zip |
| Programming Language | Python, FORTRAN, shell |
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| Software Repository | https://github.com/MenakaRevel/HydroDA.git |
| Website | http://hydro.iis.u-tokyo.ac.jp/~menaka/ |
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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