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(HS 8) Comparative Evaluation of Data Consistency: Conventional vs. Server-side Methods for Exposing Large Extent Spatial Datasets to Models
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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. |
Type: | Resource | |
Storage: | The size of this resource is 74.7 MB | |
Created: | May 13, 2021 at 10:52 p.m. | |
Last updated: | Apr 09, 2024 at 12:42 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1131 |
Downloads: | 22 |
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Abstract
This HydroShare resource aims to assess data consistency among two server-side methods (GeoServer and THREDDS Data Server) and the conventional data distribution approach (manually collecting and sharing at file-level). The evaluation spans three different-sized watersheds: Coweeta subbasin18, Scotts Level Branch, and Spout Run with 10, 30, and 60 m DEM resolutions, respectively. The workflow for resulting nine case studies, derived from the combination of three methods and three watersheds, are presented in one HydroShare resource (HS 7), yielding a total of nine RHESSys daily streamflow output files.
Within this resource, we include these nine output files and provide three Jupyter notebooks for conducting evaluations. Each notebook is dedicated to a specific watershed and focuses on the three methods, facilitating a comprehensive analysis of data consistency.
Subject Keywords
Coverage
Spatial
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Related Resources
Title | Owners | Sharing Status | My Permission |
---|---|---|---|
(HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models | Iman Maghami · Linnea Saby · Zhiyu/Drew Li · Young-Don Choi · Jonathan Goodall | Public & Shareable | Open Access |
COPY FOR ARCHIVING OLD RESOURCES: (HS 1) Toward Seamless Environmental Modeling: Integration of HydroShare with Server-side Methods for Exposing Large Datasets to Models | Iman Maghami | Private & Shareable | None |
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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