(HS 8) Comparative Evaluation of Data Consistency: Conventional vs. Server-side Methods for Exposing Large Extent Spatial Datasets to Models

Authors:
Young-Don Choi
Owners: Zhiyu/Drew LiYoung-Don ChoiIman MaghamiJonathan Goodall
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 74.7 MB
Created: May 13, 2021 at 10:52 p.m.
Last updated: Oct 15, 2024 at 2:21 p.m. (Metadata update)
Published date: Oct 15, 2024 at 2:21 p.m.
DOI: 10.4211/hs.538f1a61e49e49af88bbfb9a60c5e176
Citation: See how to cite this resource
Sharing Status: Published
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Downloads: 29
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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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
39.3929°
East Longitude
-76.7577°
South Latitude
39.3593°
West Longitude
-76.8309°
Leaflet Map data © OpenStreetMap contributors

Content

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Related Resources

This resource belongs to the following collections:
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  Published 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

Choi, Y. (2024). (HS 8) Comparative Evaluation of Data Consistency: Conventional vs. Server-side Methods for Exposing Large Extent Spatial Datasets to Models, HydroShare, https://doi.org/10.4211/hs.538f1a61e49e49af88bbfb9a60c5e176

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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