Combining artificial and human intelligence to improve mountain flood prediction: Code
|Authors:||Purshottam Shivraj Christina Bandaragoda|
|Owners:||Christina Bandaragoda Purshottam Shivraj|
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 13.2 MB|
|Created:||Jan 09, 2018 at 8:46 p.m.|
|Last updated:||Feb 22, 2019 at 1:19 a.m. by Purshottam Shivraj|
|Citation:||See how to cite this resource|
Testing ogh and pyDHSVM for the Sauk Watershed.
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|University of Washington eScience Institute||Winter Incubator 2018|
|National Science Foundation||PREEVENTS TRACK 2: Integrated Modeling of Hydro-Geomorphic Hazards: Floods, Landslides and Sediment||1663859|
|Sauk Suiattle Indian Tribe|
|Bureau of Indian Affairs|
People or organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|Amanda Lehr||University of Washington|
How to Cite
Shivraj, P., C. Bandaragoda (2018). Combining artificial and human intelligence to improve mountain flood prediction: Code, HydroShare, http://www.hydroshare.org/resource/7c3416535ab24d4f93b0b94741bb9572
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
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