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: | 166 |
| Downloads: | 12 |
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Abstract
This include the global river discharges estimated using physically-based adaptive empirical localization method.
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Content
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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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