Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.

This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.

Boyne River computational model

Authors:
Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 263.0 MB
Created:	Sep 04, 2019 at 9:01 p.m.
Last updated:	Dec 30, 2019 at 11:44 p.m. (Metadata update)
Published date:	Dec 30, 2019 at 11:44 p.m.
DOI:	10.4211/hs.8aeaaa19cecc4a72994910942d687a11
Citation:	See how to cite this resource
Content types:	Model Instance Content

Sharing Status:	Published
Views:	1815
Downloads:	57
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

SWAT model for the Boyne River, located in northern Michigan, USA. The model uses citizen science data from CrowdHydrology <http://www.crowdhydrology.com/>. The model was calibrated using the following stations: MI1023. MI124, MI1025, MI1026. The SWAT model was built using ArcSWAT Version 2012.10_4.19.

We acknowledge the Friends of the Boyne River <https://boyneriver.org/> and Michigan Trout Unlimited <http://www.michigantu.org/> for their role in community engagement, support during field visits, and maintenance of the CrowdHydrology network. The authors gratefully acknowledge the active participation of citizens near the Boyne River.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Longitude

-85.0120°

Latitude

45.2148°

Content

Learn more about the BagIt download

Select a file to see file type metadata.

Additional Metadata

Name	Value
MIGRATED_FROM	SWAT Model Instance Resource

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
National Science Foundation	Improving high performance super computer aquatic ecosystem models with the integration of real-time citizen science data

How to Cite

Avellaneda, P., D. Ficklin, C. Lowry, J. Knouft, D. Hall (2019). Boyne River computational model, HydroShare, https://doi.org/10.4211/hs.8aeaaa19cecc4a72994910942d687a11

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

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

Comments

There are currently no comments