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Lower Cartoogechaye Creek Level-12 HUC 060102020105


Authors: Lorne Leonard
Owners: Lorne Leonard
Resource type: Generic
Storage: The size of this resource is 86.3 MB
Created: Nov 30, 2016 at 7:17 p.m.
Last updated: Nov 30, 2016 at 7:43 p.m. by Lorne Leonard
DOI: 10.4211/hs.2bca3052389d4b509a82444031af7f4d
Citation: See how to cite this resource
Sharing Status: Published
Views: 82
Downloads: 4
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Abstract

HydroTerre ETV Data Bundle for Level-12 HUC 060102020105

Further information about how ETV data bundle was generated here:

Leonard L., Duffy C., 2013, “Essential Terrestrial Variable Data Workflows for Distributed Water Resources Modeling”, International Environmental Modelling & Software, Vol 50, pp 85-96
http://dx.doi.org/10.1016/j.envsoft.2013.09.003

Subject Keywords

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name: Lower Cartoogechaye Creek
North Latitude
35.1978°
East Longitude
-83.3805°
South Latitude
35.1290°
West Longitude
-83.5811°

Content

How to Cite

Leonard, L. (2016). Lower Cartoogechaye Creek Level-12 HUC 060102020105, HydroShare, https://doi.org/10.4211/hs.2bca3052389d4b509a82444031af7f4d

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

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

Comments

Lorne Leonard 2 years, 4 months ago


Relevant References:

Leonard L., Duffy C., 2016, “Visualization Workflows for Level-12 HUC Scales: Towards an Expert System for Watershed Analysis in a Distributed Computing Environment”, International Environmental Modelling & Software, Vol 78, pp 163-178.
http://dx.doi.org/10.1016/j.envsoft.2016.01.001

Leonard L., Madduri, K., Duffy C., 2015, “Tuning Heterogeneous Computing Platforms for Large-scale Hydrology Data Management”, IEEE Transactions on Parallel and Distributed Systems, Vol 27, Issue 9, pp 2753-2765
http://dx.doi.org/10.1109/TPDS.2015.2499741

Leonard L., Duffy C., 2014, “Automating Data-Model Workflows at a Level 12 HUC Scale: Watershed Modeling in a Distributed Computing Environment”, International Environmental Modelling & Software, Vol 61, pp 174-190
http://dx.doi.org/10.1016/j.envsoft.2014.07.015


http://www.hydroterre.psu.edu

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