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| Type: | Resource | |
| Storage: | The size of this resource is 112.0 MB | |
| Created: | Apr 22, 2020 at 1:14 a.m. | |
| Last updated: | Apr 22, 2020 at 3:43 a.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 1315 |
| Downloads: | 54 |
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Abstract
Using this notebook, you can evaluate the reproducibility and replicability of SUMMA simulation with repeating of Sciunit container and changing the SUMMA configuration.
- Reproduced SUMMA application: Three different stomatal Resistance Parameterizations (BallBerry, Jarvis, and Simple Stomatal Method)
- Replicated SUMMA application: Changing the function for the soil moisture control on stomatal resistance from NoahType to CLM_Type
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Content
Related Resources
| The content of this resource references | Clark, M. P., B. Nijssen, J. D. Lundquist, D. Kavetski, D. E. Rupp, R. A. Woods, J. E. Freer, E. D. Gutmann, A. W. Wood, D. J. Gochis, R. M. Rasmussen, D. G. Tarboton, V. Mahat, G. N. Flerchinger and D. G. Marks, (2015), "A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies," Water Resources Research, 51(4): 2515-2542, http://doi.org/10.1002/2015wr017200. |
| The content of this resource is derived from | https://www.hydroshare.org/resource/c1bb4a12bff44bf08c5958cba7947348/ |
| The content of this resource is derived from | https://www.hydroshare.org/resource/1f3f310af8364d2aa3e6a9459152a21c/ |
| The content of this resource is derived from | http://www.hydroshare.org/resource/87a7feaf1178444b83365d7133198f5e |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | EarthCube Building Blocks: Collaborative Proposal: GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications | ICER-1639655, ICER-1639759, ICER-1639696 |
| National Science Foundation | Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis | OAC-1664061, OAC-1664018, OAC-1664119 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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