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


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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: Jun 06, 2021 at 5:09 a.m.
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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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Resource Level 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

References

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. (2021). (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/
CC-BY

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