(HS 1) Creating and Sharing Interoperable and Reusable Large Spatial Sample Datasets Online for Open and Reproducible Seamless Hydrological Modeling: RHESSys Use Case


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Type: Collection
Storage: The size of this collection is 4.6 KB
Created: May 14, 2021 at 2:59 a.m.
Last updated: Aug 04, 2021 at 2:09 p.m.
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Abstract

Reproducibility is a fundamental requirement to advance science, and data management is the basic element for reproducibility. In hydrological modeling, there have been many efforts to improve the use of spatial data as model input; however, data sharing is file-level, the use of APIs are difficult, and data distribution service is fragile from fast-evolving technologies. Currently large datasets, GeoServer, and OPeNDAP are only used separately, limiting their benefits. The objective of this study is to create and share interoperable and reusable state scale large spatial datasets on GeoServer and OPeNDAP in HydroShare for open and reproducible seamless environmental modelling. We, first, present the procedures for creating and sharing large datasets. Then, we present application workflows with an example of the Regional Hydro-Ecologic Simulation System and evaluate the data consistency of large datasets. We apply three different scales of watershed in three different states to evaluate data consistency in modeling workflows.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
North Latitude
41.2137°
East Longitude
-73.6827°
South Latitude
32.4359°
West Longitude
-85.1501°

Collection Contents

Add Title Type Owners Sharing Status My Permission Remove
(HS 3) Large Spatial Sample Datasets in Maryland Resource Iman Maghami Public & Shareable Open Access
(HS 4) Large Spatial Sample Datasets in Virginia Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 2) Large Spatial Sample Datasets in North Carolina Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 14) RHESSys Raw Input at Coweeta Subbasin18, North Carolina Resource Young-Don Choi Public & Shareable Open Access
(HS 15) RHESSys Raw Input at Scotts Level Branch, Maryland Resource Young-Don Choi Public & Shareable Open Access
(HS 16) RHESSys Raw Input at Spout Run, Virginia Resource Iman Maghami Public & Shareable Open Access
(HS 17) Automate Workflows using Jupyter notebook to create Large Spatial Sample Datasets Resource Iman Maghami Public & Shareable Open Access
(HS 6) Jupyter notebook for RHESSys modeling workflow using the GeoServer approach at Coweeta Subbasin18, NC Resource Young-Don Choi Public & Shareable Open Access
(HS 5) Jupyter notebook for RHESSys modeling workflow using the original (HydroShare) approach at Coweeta Subbasin18, NC Resource Young-Don Choi Public & Shareable Open Access
(HS 7) Jupyter notebook for RHESSys modeling workflow using the THREDDS approach at Coweeta Subbasin18, NC Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 8) Jupyter notebook for RHESSys modeling workflow using the original (HydroShare) approach at Scotts Level Branch, MD Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 9) Jupyter notebook for RHESSys modeling workflow using the GeoServer approach at Scotts Level Branch, MD Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 10) Jupyter notebook for RHESSys modeling workflow using the THREDDS approach at Scotts Level Branch, MD Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 11) Jupyter notebook for RHESSys modeling workflow using the original (HydroShare) approach at Spout Run, VA Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 13) Jupyter notebook for RHESSys modeling workflow using the THREDDS approach at Spout Run, VA Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 18) Evaluation of Data Consistency using Large Spatial Sample Datasets Resource Zhiyu/Drew Li Public & Shareable Open Access
(HS 12) Jupyter notebook for RHESSys modeling workflow using the GeoServer approach at Spout Run, VA Resource Zhiyu/Drew Li Public & Shareable Open Access

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How to Cite

Choi, Y., J. Goodall, L. Band, I. Maghami, L. Lin, L. Saby, Z. Li, S. Wang, C. Calloway, M. Seul, D. Ames, D. Tarboton, H. Yi (2021). (HS 1) Creating and Sharing Interoperable and Reusable Large Spatial Sample Datasets Online for Open and Reproducible Seamless Hydrological Modeling: RHESSys Use Case, HydroShare, http://www.hydroshare.org/resource/afcc703d884e4f73b598c9e4b8f8a15e

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

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

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