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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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Type:	Resource
Storage:	The size of this resource is 40.5 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
Views:	871
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

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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°

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	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

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

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

http://creativecommons.org/licenses/by/4.0/

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