(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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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.

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

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/
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