(HS 18) Evaluation of Data Consistency using Large Spatial Sample Datasets
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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. | |
Resource type: | Composite Resource | ||
Storage: | The size of this resource is 44.9 MB | ||
Created: | May 13, 2021 at 10:52 p.m. | ||
Last updated: | Apr 26, 2022 at 6:30 a.m.
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Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
This HydroShare resource provides the Jupyter Notebooks to evaluate data consistency in three different watersheds (different resolutions: 10, 30, and 60 m). In these procedures, we created 9 case studies using three different datasets (Original (HydroShare), GeoServer, and OPeNDAP) and three watersheds (Coweeta subbasin18, Scotts Level Branch, and Spout Run). For the evaluation of the original datasets approach which manually collected spatial datasets to represent the traditional approach, we created three HydroShare resources for each watershed. Then, we present the evaluation results of data consistency in three different watersheds (different resolutions: 10, 30, and 60 m) using Jupyter notebooks (HS-6 resource). For evaluation, we used regression plots for model output (RHESSys streamflow output).
Subject Keywords
Resource Level Coverage
Spatial
Content
Related Resources
Title | Owners | Sharing Status | My Permission |
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(HS 1) Creating and Sharing Interoperable and Reusable Large Spatial Sample Datasets Online for Open and Reproducible Seamless Hydrological Modeling: RHESSys Use Case | Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi | Public & Shareable | Open Access |
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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