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(HS 18) Evaluation of Data Consistency using Large Spatial Sample Datasets

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Type:	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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Sharing Status:	Public
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Downloads:	12
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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).

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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) 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

How to Cite

Choi, Y. (2022). (HS 18) Evaluation of Data Consistency using Large Spatial Sample Datasets, 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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