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David Tarboton

Utah State University | Professor

Subject Areas: Hydrology, Hydrologic Information Systems, Terrain Analysis

 Recent activity

ABSTRACT:

This resource contains a HydroShare Map Project file created using the HydroShare GIS web app. The Map Project file is in JSON format and contains data regarding the state of the project upon creating this resource.

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ABSTRACT:

The CUAHSI-SCOPE team conducted user-based research to evaluate and design an improved user experience for HydroShare. The user-oriented project focused on identifying key users and workflows, defining current limitations of the system, and developing a comprehensive document of design recommendations.

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ABSTRACT:

Model My Watershed (MMW) is a free web application for modeling the influences of land use and best management practices on stormwater runoff and water quality. The public can access this tool at https://app.wikiwatershed.org/. One component of this tool is a function to define the model domain, or area of interest for analysis and modeling by interactively setting the outlet location and delineating the watershed draining to that location. This functionality has been developed using enhancements to the TauDEM hydrologic terrain analysis software ((http://hydrology.usu.edu/taudem) and includes a tool on the user interface and RESTFul Application Program Interface that accesses backend data generated from NHDPlus Version 2.1 gridded flow directions. The continental US was preprocessed into subwatersheds that include gridded flow directions and the polygon shapefile for the entire watershed draining to the subwatershed outlet. Thus when a point within the domain is input (clicked or entered to RESTFul API), the subwatershed that it falls in is first identified. It is then snapped to the stream by moving down to the first stream (NHDPlus medium resolution stream) encountered along the flow directions. Then the local watershed within the subwatershed is delineated based on subwatershed flow direction grid using an adaptation of the TauDEM gauge watershed function. This local subwatershed is then merged with shapefiles for any upstream watersheds to which it attaches. Small watersheds are delineated within a few seconds, with larger watersheds taking up to 40 s (entire Mississippi). The most time consuming step is the merging and generalization of shape information for display. The polygon that result from this process may be downloaded, and subject to size limitations also entered into the MMW analyze area function to summarize land use, hydrologic soils and other information of interest to hydrologic and water quality modeling within the delineated area. The resulting watershed polygon may also be entered into one of the stormwater or water quality models supported by MMW.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

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ABSTRACT:

River hydraulic geometry is an important input to hydraulic and hydrologic models that route flow along streams, determine the relationship between stage and discharge, and map the potential for flood inundation give the flow in a stream reach. Traditional approaches to quantify river geometry have involved river cross-sections, such as are required for input to the HEC-RAS model. Extending such cross-section based models to large scales has proven complex, and, in this presentation, an alternative approach, the Height Above Nearest Drainage, or HAND, is described. As we have implemented it, HAND uses multi-directional flow directions derived from a digital elevation model (DEM) using the Dinifinity method in TauDEM software (http://hydrology.usu.edu/taudem) to determine the height of each grid cell above the nearest stream along the flow path from that cell to the stream. With this information, and the depth of flow in the stream, the potential for and depth of flood inundation can be determined. Furthermore, by dividing streams into reaches or segments, the area draining to each reach can be isolated and a series of threshold depths applied to the grid of HAND values in that isolated reach catchment, to determine inundation volume, surface area and wetted bed area. Dividing these by length yields reach average cross section area, width, and wetted perimeter. Together with slope (also determined from the DEM) and roughness (Manning's n) these provide all the inputs needed for establishing a Manning's equation uniform flow assumption stage-discharge rating curve and for mapping potential inundation from discharge. This presentation will describe the application of this approach across the continental US in conjunction with NOAA’s National Water Model for prediction of stage and flood inundation potential in each of the 2.7 million reaches of the National Hydrography Plus (NHDPlus) dataset, the vast majority of which are ungauged. The continental US scale application has been enabled through the use of high performance parallel computing at the National Center for Supercomputing Applications (NCSA) and the CyberGIS Center at the University of Illinois.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

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ABSTRACT:

This Multi-Year Model GWLF-E/Mapshed model for the Eagleville Watershed was generated as a demonstration of WikiWatershed toolkit functionality applied to watersheds delineated using the Rapid Watershed delineation approach described in a presentation at the 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

Tarboton, D. G., N. Sazib and A. Aufdenkampe, (2018), "The Model My Watershed Rapid Watershed Delineation Tool " 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/. https://www.hydroshare.org/resource/d752efeae812478898fb78327f25c87c/

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 Contact

Work 4357973172
Email (Log in to send email)
Website http://hydrology.usu.edu/dtarb

 Author Identifiers

Resources
All 0
Collection 0
Composite Resource 0
Generic 0
Geographic Feature 0
Geographic Raster 0
HIS Referenced Time Series 0
Model Instance 0
Model Program 0
MODFLOW Model Instance Resource 0
Multidimensional (NetCDF) 0
Script Resource 0
SWAT Model Instance 0
Time Series 0
Web App 0
Generic Generic

ABSTRACT:

This generic resource illustrates to students in the CEE6400 GIS in Water Resources Class at Utah State University how to prepare HydroShare resources to post term projects.

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Multidimensional (NetCDF) Multidimensional (NetCDF)
Snow water equivalent estimation at TWDEF site from Oct 2009 to June 2010
Created: June 3, 2015, 5:17 p.m.
Authors: Tseganeh Z. Gichamo

ABSTRACT:

This netCDF data is the simulation output from Utah Energy Balance (UEB) model.
It includes the simulation result of snow water equivalent during the period Oct. 2009 to June 2010 for TWDEF site in Utah.

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Generic Generic
Presentations for iRODS User Group meeting
Created: June 11, 2015, 1:43 p.m.
Authors: David Tarboton · Alva Couch

ABSTRACT:

This resource contains the two talks, one by David Tarboton and one by Alva Couch presented at the iRODS users group meeting in Chapel Hill, June 11, 2015

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Geographic Raster Geographic Raster
Logan Specific Catchment Area
Created: June 5, 2015, 3:37 a.m.
Authors: David Tarboton

ABSTRACT:

Specific Catchment area defined as contributing area per unit contour length for the Logan River Basin.

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Generic Generic
Great Salt Lake Area Volume Data
Created: Aug. 7, 2015, 9:07 p.m.
Authors: David Tarboton

ABSTRACT:

Area volume data for the Great Salt Lake. This was provided by Biowest Inc. as part of work to model the potential impact of proposed evaporation ponds on the level of the Great Salt Lake.

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Generic Generic

ABSTRACT:

Presentation to National Weather Service National Hydrology Program Managers Meeting, May 13, 2015, Tuscaloosa Alabama

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Generic Generic
Great Salt Lake Level and Volume
Created: Aug. 7, 2015, 9:14 p.m.
Authors: David Tarboton

ABSTRACT:

Time series of level, area and volume in the Great Salt Lake. Volume and area of the Great Salt Lake are derived from recorded levels and bathymetry. The bathymetry used is included. Bathymetry is adjusted for the presence or absence of Magnesium corps pond. The area of the evaporation pond is not regarded as part of the lake except prior to its construction and during the time it was overtopped.

GSL_north_arm.txt is measured data from the USGS station 10010100 GREAT SALT LAKE NEAR SALINE, UT
GSL_north_arm_2017-04-23.txt Duplicate of above as run on 4/23/17

GSL_south_arm.txt is measured data from the USGS station 10010000 GREAT SALT LAKE AT SALTAIR BOAT HARBOR, UT
GSL_south_arm_2017-04-23.txt Duplicate of above as run on 4/23/17
GSL_south_arm_2016-03-01.txt Record downloaded 3/1/2016 that includes data prior to USGS changing format

GSLLAV.txt is time series of level, computed area and volume from level using bathymetry

Bathymetry folder. Lake bathymetry used in these calculations. This data is also stored separately in https://www.hydroshare.org/resource/b26090299ec947c692d4ee4651815579/

GSLLevelVol.csv is beginning of month time series of level and volume from 1/1/1915 used for modeling

LevelVolWork.R is the R script used to process this data

GSLLevelRecord.pptx Powerpoint file with some figures of this data

GSLFunctions.R R functions used by the script

Headings should be obvious. Note that separate levels in the north arm only started being recorded in 1966 so for dates prior to that Nlevel_ft is reported as NA (no data in R). Nlevel_m is converted from the measurement in ft, and filled in using the south arm when there is no north arm data (a few days after 1966 are also missing). The bathymetry was then used to compute area and volume in each arm separately and add them up.

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Geographic Raster Geographic Raster
Logan Digital Elevation Model
Created: June 5, 2015, 3:31 a.m.
Authors: David Tarboton

ABSTRACT:

Digital Elevation Model for the watershed draining the Logan River Basin near Logan Utah.

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Generic Generic
Utah Energy Balance (UEB) Snowmelt Model Input Data Preparation Script
Created: July 10, 2015, 9:43 p.m.
Authors: David Tarboton · Pabitra Dash · Tseganeh Gichamo

ABSTRACT:

This resource contains scripts to use CI-WATER data services to set up inputs to the Utah Energy Balance Snowmelt Model for any watershed in the western US using data accessible through CI-WATER data services. It also includes simpler pedagogical scripts to test and learn how to use these services.

Main script
uebSetup.py

Pedagogical examples
demo.py. Illustration of Watershed Delineation using CI-WATER data services
ListStaticFiles.py. Lists common data that is part of CI-WATER data services
settings.py. Template for saving credentials
PushFileToHydroShare.py. Illustration of how to transfer a file from CI-WATER workspace to HydroShare.
ClearMyFiles.py. Deletes all personal files in CI-WATER workspace.
ListMyFiles.py. Print list of files in CI-WATER workspace

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Generic Generic
HydroShare: Advancing Hydrology through Collaborative Data and Model Sharing
Created: Sept. 10, 2015, 10:40 a.m.
Authors: David Tarboton · R. Idaszak · J S Horsburgh · Dan Ames · J. L. Goodall · L Band · V. Merwade · A. Couch · R Hooper · D. Valentine · D Maidment · M Stealey · H Li

ABSTRACT:

Can your desktop computer crunch the large datasets that are becoming increasingly common in hydrology and across the sciences? Do you have access to, or the know how to, take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated to include geospatial data used in hydrology. HydroShare will also include new capability to share models and model components, and will take advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. The HydroShare web interface and social media functions are being developed using the Django web application framework. The integrated Rule-Oriented Data System (iRODS) is being used to manage federated data content. This presentation will introduce the HydroShare functionality developed to date and describe ongoing development of functionality to support collaboration and integration of data and models.

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Geographic Raster Geographic Raster
Great Salt Lake Basin Digital Elevation Model
Created: Aug. 15, 2015, 12:35 p.m.
Authors: David Tarboton

ABSTRACT:

Digital Elevation Model for the Great Salt Lake Basin used for TauDEM testing.

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Generic Generic

ABSTRACT:

Can your desktop computer crunch the large GIS datasets that are becoming increasingly common across the geosciences? Do you have access to, or the know how to, take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare supports the storage and sharing of a broad class of hydrologic data including time series, geographic features and rasters, multidimensional space-time data and structured collections of data representing river geometry. Web service tools and a python client library provide researchers with access to high performance computing resources without requiring them to become HPC experts. This reduces the time and effort spent in finding and organizing the data required to prepare the inputs for hydrologic models and facilitates the management of online data and execution of models on HPC systems. This talk will illustrate web and client based use of data services that support the delineation of watersheds to define a modeling domain, then extract terrain and land use information to automatically configure the inputs required for hydrologic models. These services support the Terrain Analysis Using Digital Elevation Model (TauDEM) tools for watershed delineation and generation of hydrology-based terrain information such as wetness index and stream networks. These services also support the derivation of inputs for the Utah Energy Balance snowmelt model used to address questions such as how climate, land cover and land use change may affect snowmelt inputs to runoff generation. These cases serve as examples for how this approach can be extended to other models to enhance the use of web and data services in the geosciences.

Presentation at Kansas University GIS Days November 18, 2015

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Generic Generic

ABSTRACT:

This data provides an illustration of the height above the nearest stream approach to flood inundation mapping based on the TauDEM vertical distance to stream function. This example uses a 10 m resolution National Elevation dataset for Onion Creek in Texas. Height above the nearest stream may be thought of as a “relative elevation function” which measures for every DEM cell in the landscape the difference in elevation between that cell and the cell to which it flows on the stream channel. This is like a “water depth” or “stage height” function defined using terrain analysis continuously across the landscape. This relative elevation function, combined with a depth in each stream reach provide a simplified terrain based approach to flood inundation mapping premised on the following:

1. Each reach has a water depth hw, from a hydraulic model such as SPRNT or RAPID.
2. Each reach has an ID
3. Each grid cell has the ID of the reach it connects to (catchment grid) and the height above the stream hs
4. Flood extent is “rapidly” mapped as
If(hw(id) > hs(id))
Inundation depth = hw(id) - hs(id)
Else
Inundation depth = 0

The data here can also be used to compute reach averaged hydraulic properties as follows
1. For each reach the stream network file gives reach length L.
2. For a series of water depths using the height above nearest stream intersected with catchment raster the innundation water volume V, surface area As and bed area Ab are obtained.
3. Reach average properties are then computed as
Cross section Area A = V/L
Wetted perimeter P = Ab/L
Top width = As/L
Hydraulic Radius = A/P

This approach is a simplification over finer scale hydraulics, and the inaccuracy due to introduction of this simplification still needs evaluation. This approach is also dependent on how well the DEM represents the channel and flooded area. This is expected to improve as we get better LIDAR DEMs and develop better ways to hydrologically condition DEMs that do not involve pit filling.

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Generic Generic
Terrain Based Flood Inundation Mapping
Created: Dec. 9, 2015, 12:06 p.m.
Authors: David Tarboton

ABSTRACT:

Presentations to the Elevation Hydrology Meeting of the USGS in Reston Virginia, December 9, 2015 outlining ideas for using height above the nearest stream to map flood inundation.

The file EleHydroTarboton.pptx is the main presentation.

The file SomeAdditionalThoughtsTarboton.pptx are some quickly assembled slides to support thoughts I was asked to present towards the end of the meeting.

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Generic Generic

ABSTRACT:

HydroShare is an online, collaborative system for open sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined primarily by standardized metadata, content data models for each resource type, and an overarching resource data model based on the Open Archives Initiative’s Object Reuse and Exchange (OAI-ORE) standard and a hierarchical file packaging system called “BagIt”. HydroShare expands the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated to include geospatial and multidimensional space-time datasets commonly used in hydrology. HydroShare also includes new capability for sharing models, model components, and analytical tools and will take advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. It also supports web services and server/cloud based computation operating on resources for the execution of hydrologic models and analysis and visualization of hydrologic data. HydroShare uses iRODS as a network file system for underlying storage of datasets and models. Collaboration is enabled by casting datasets and models as "social objects". Social functions include both private and public sharing, formation of collaborative groups of users, and value-added annotation of shared datasets and models. The HydroShare web interface and social media functions were developed using the Django web application framework coupled to iRODS. Data visualization and analysis is supported through the Tethys Platform web GIS software stack. Links to external systems are supported by RESTful web service interfaces to HydroShare’s content. This presentation will introduce the HydroShare functionality developed to date and describe ongoing development of functionality to support collaboration and integration of data and models.

Slides for AGU 2015 presentation H42A-04, December 17, 2015

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Generic Generic

ABSTRACT:

Can your desktop computer crunch the large GIS datasets that are becoming increasingly common across the geosciences? Do you have access to or the know-how to take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare supports the upload, storage, and sharing of a broad class of hydrologic data including time series, geographic features and raster datasets, multidimensional space-time data, and other structured collections of data. Web service tools and a Python client library provide researchers with access to HPC resources without requiring them to become HPC experts. This reduces the time and effort spent in finding and organizing the data required to prepare the inputs for hydrologic models and facilitates the management of online data and execution of models on HPC systems. This presentation will illustrate the use of web based data and computation services from both the browser and desktop client software. These web-based services implement the Terrain Analysis Using Digital Elevation Model (TauDEM) tools for watershed delineation, generation of hydrology-based terrain information, and preparation of hydrologic model inputs. They allow users to develop scripts on their desktop computer that call analytical functions that are executed completely in the cloud, on HPC resources using input datasets stored in the cloud, without installing specialized software, learning how to use HPC, or transferring large datasets back to the user's desktop. These cases serve as examples for how this approach can be extended to other models to enhance the use of web and data services in the geosciences.

Slides for AGU 2015 presentation IN51C-03, December 18, 2015

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Generic Generic
Presentation to Geosemantics Meeting
Created: Feb. 22, 2016, 7:02 p.m.
Authors: David Tarboton

ABSTRACT:

Presentation on 2/22/16

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Geographic Raster Geographic Raster
Onion Creek DEM
Created: Feb. 25, 2016, 5:59 p.m.
Authors: David Tarboton

ABSTRACT:

Digital Elevation Model in Geographic Coordinates

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Multidimensional (NetCDF) Multidimensional (NetCDF)
High Plains Aquifer Groundwater Levels from 1935 to 1937
Created: March 5, 2016, 11:18 p.m.
Authors: E M Haacker · A D Kendall · D W Hyndman

ABSTRACT:

A large imbalance between recharge and water withdrawal has caused vital regions of the High Plains Aquifer (HPA) to experience significant declines in storage. A new predevelopment map coupled with a synthesis of annual water levels demonstrates that aquifer storage has declined. This dataset produced using methods described in Haacker, E. M., Kendall, A. D., & Hyndman, D. W. (2015), shows these declines.

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Geographic Raster Geographic Raster
High Plains Aquifer 1935 Groundwater Levels
Created: March 6, 2016, 12:50 a.m.
Authors: E M Haacker · A D Kendall · D W Hyndman

ABSTRACT:

A large imbalance between recharge and water withdrawal has caused vital regions of the High Plains Aquifer (HPA) to experience significant declines in storage. A new predevelopment map coupled with a synthesis of annual water levels demonstrates that aquifer storage has declined. This raster dataset gives the 1935 groundwater levels in the HPA. This dataset, produced using methods described in Haacker, E. M., Kendall, A. D., & Hyndman, D. W. (2015), is part of a collection of raster datasets that give HPA groundwater levels over time.

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Geographic Raster Geographic Raster
High Plains Aquifer 1936 Groundwater Levels
Created: March 6, 2016, 12:56 a.m.
Authors: E M Haacker · A D Kendall · D W Hyndman

ABSTRACT:

A large imbalance between recharge and water withdrawal has caused vital regions of the High Plains Aquifer (HPA) to experience significant declines in storage. A new predevelopment map coupled with a synthesis of annual water levels demonstrates that aquifer storage has declined. This raster dataset gives the 1936 groundwater levels in the HPA. This dataset, produced using methods described in Haacker, E. M., Kendall, A. D., & Hyndman, D. W. (2015), is part of a collection of raster datasets that give HPA groundwater levels over time.

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Geographic Raster Geographic Raster
High Plains Aquifer 1937 Groundwater Levels
Created: March 6, 2016, 1:04 a.m.
Authors: E M Haacker · A D Kendall · D W Hyndman

ABSTRACT:

A large imbalance between recharge and water withdrawal has caused vital regions of the High Plains Aquifer (HPA) to experience significant declines in storage. A new predevelopment map coupled with a synthesis of annual water levels demonstrates that aquifer storage has declined. This raster dataset gives the 1937 groundwater levels in the HPA. This dataset, produced using methods described in Haacker, E. M., Kendall, A. D., & Hyndman, D. W. (2015), is part of a collection of raster datasets that give HPA groundwater levels over time.

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Generic Generic
raster to netcdf script
Created: March 6, 2016, 1:16 a.m.
Authors: Tian Gan

ABSTRACT:

This resource includes different command line used to convert the test rasters as one netCDF file. The tools used are GDAL(http://www.gdal.org/), netCDF4 python(http://unidata.github.io/netcdf4-python/), and NCO (http://nco.sourceforge.net/)

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Geographic Feature (ESRI Shapefiles) Geographic Feature (ESRI Shapefiles)
Logan River Stream Network
Created: April 6, 2016, 4:27 a.m.
Authors: David Tarboton

ABSTRACT:

Logan River Stream Network delineated from a digital elevation model using TauDEM

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Collection Resource Collection Resource
High Plains Groundwater Levels
Created: April 19, 2016, 2:21 a.m.
Authors: Erin M Haacker · A. D. Kendall · D. W. Hyndman

ABSTRACT:

A large imbalance between recharge and water withdrawal has caused vital regions of the High Plains Aquifer (HPA) to experience significant declines in storage. A new predevelopment map coupled with a synthesis of annual water levels demonstrates that aquifer storage has declined. This collection gives the 1935 to 1937 groundwater levels in the HPA. This dataset, produced using methods described in Haacker, E. M., Kendall, A. D., & Hyndman, D. W. (2015).

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Generic Generic
Composite Resource Type Design
Created: April 22, 2016, 10:17 p.m.
Authors: Tian Gan

ABSTRACT:

This includes the basic design idea of the composite resource type for discussion

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Generic Generic
Presentation to NFIE Summer Institute
Created: June 9, 2016, 5:26 p.m.
Authors: David Tarboton

ABSTRACT:

Presentation to NFIE Summer Institute June 9, 2016

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Collection Resource Collection Resource
Logan River Geography
Created: June 12, 2016, 11:21 p.m.
Authors: David Tarboton

ABSTRACT:

This is a collection of results derived using hydrologic terrain analysis from the Logan River Digital elevation model.

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Generic Generic
Share and Publish your Data and Models with HydroShare
Created: June 28, 2016, 10:54 a.m.
Authors: David Tarboton

ABSTRACT:

How will you manage the data for your next big collaborative project? HydroShare is an online, collaborative system for open sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “hydrologic resources” which are data, or models in formats commonly used in hydrology. HydroShare expands the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated to include geospatial and multidimensional space-time datasets commonly used in hydrology. HydroShare also includes new capability for sharing models, model components, and analytical tools. It can help you manage your data among collaborators and meet funding agency data management plan requirements. It can publish your data using citable digital object identifiers (DOIs). In this seminar you will learn how to load files into HydroShare so that you can share them with colleagues and publish them. I will show how to manage access to the content that you share, and how to easily add metadata, and in some cases how metadata is automatically completed for you. The capability to assign DOIs to HydroShare resources means that they are permanently citable helping researchers who share their data get credit for the data published. Models, and Model Instances, which in HydroShare are a model application to a specific site with its input and output data can also receive DOI's. Collections allow multiple resources from a study to be aggregated together providing a comprehensive archival record of the research outcomes, supporting transparency and reproducibility, thereby enhancing trust in the research findings. Reuse to support additional research is also enabled. Files in HydroShare may be analyzed through web apps configured to access HydroShare resources. Apps support visualization and analysis of HydroShare resources in a platform independent web environment. This presentation will demo some apps and describe ongoing development of functionality to support collaboration, modeling and data analysis in HydroShare.

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Generic Generic

ABSTRACT:

Material for HydroShare workshop at CUAHSI biennial symposium, July 26, 2016.

HydroShare is a platform for data publication and collaboration for users to share multiple hydrologic data types, analytical tools, and models. During this portion of the workshop, participants will learn how to use HydroShare to:
(1) Upload, share and publish science products in HydroShare and receive a citable digital object identifier (DOI). This helps fulfill NSF’s data management requirements.
(2) Use HydroShare for collaboration, sharing data and models with individual users or a group
(3) Organize resources into collections in HydroShare
(4) Use the HydroShare GIS app to visualize and create web maps using content in HydroShare
(5) Use the CyberGIS TauDEM app to perform web based digital elevation model hydrologic terrain analysis

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Collection Resource Collection Resource

ABSTRACT:

This collection holds resources used to distribute material for HydroShare related workshop at CUAHSI biennial symposium, July 2016

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Generic Generic

ABSTRACT:

HydroShare is cyberinfrastructure developed as part of the CUAHSI Cyberinfrastructure suite to support collaborative hydrologic data sharing and modeling. It is being developed with support from NSF Software Infrastructure for Sustained Innovation (SI2) program to support the cyberinfrastructure needs of the CUAHSI community. This presentation describes how the HydroShare collaboration platform can support the sharing and publication of outcomes from the CUAHSI National Water Center Innovators Program Summer Institute held in Tuscaloosa Alabama, June to July 2016, and provides an opportunity for sharing summer institute work with the broader hydrologic community.

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Geographic Feature (ESRI Shapefiles) Geographic Feature (ESRI Shapefiles)
Logan Outlet
Created: Aug. 1, 2016, 2:40 p.m.
Authors: David Tarboton

ABSTRACT:

Outlet of the Logan River stream network

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Generic Generic

ABSTRACT:

This HydroShare resource illustrates to students in the CEE6440 GIS in Water Resources Class at Utah State University how to prepare HydroShare Resources to post term projects!

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Generic Generic
Onion Terrain Analysis Start
Created: Nov. 7, 2016, 2:48 a.m.
Authors: David Tarboton

ABSTRACT:

A 1/3 arc second digital elevation model from the National Elevation dataset. This DEM has had a flow direction conditioning procedure applied to it to remove barriers along high resolution NHD flowlines. The outlet.shp shapefile is the location where this Onion Creek enters the Colorado River of Texas and is used to specify the point upstream of which watersheds should be delineated.

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Generic Generic

ABSTRACT:

How do you share and publish hydrologic data and models for a large collaborative project? HydroShare is a new, web-based system for sharing hydrologic data and models with specific functionality aimed at making collaboration easier. HydroShare has been developed with U.S. National Science Foundation support under the auspices of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) to support the collaboration and community cyberinfrastructure needs of the hydrology research community. Within HydroShare, we have developed new functionality for creating datasets, describing them with metadata, and sharing them with collaborators. We cast hydrologic datasets and models as “social objects” that can be shared, collaborated around, annotated, published and discovered. In addition to data and model sharing, HydroShare supports web application programs (apps) that can act on data stored in HydroShare, just as software programs on your PC act on your data locally. This can free you from some of the limitations of local computing capacity and challenges in installing and maintaining software on your own PC. HydroShare’s web-based cyberinfrastructure can take work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This presentation will describe HydroShare’s collaboration functionality that enables both public and private sharing with individual users and collaborative user groups, and makes it easier for collaborators to iterate on shared datasets and models, creating multiple versions along the way, and publishing them with a permanent landing page, metadata description, and citable Digital Object Identifier (DOI) when the work is complete. This presentation will also describe the web app architecture that supports interoperability with third party servers functioning as application engines for analysis and processing of big hydrologic datasets. While developed to support the cyberinfrastructure needs of the hydrology community, the informatics infrastructure for programmatic interoperability of web resources has a generality beyond the solution of hydrology problems that will be discussed.

Presentation IN33C-03: at AGU Fall Meeting December 14, 2016

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Generic Generic
Managing and Sharing Research Data Using HydroShare
Created: Feb. 2, 2017, 5:46 a.m.
Authors: David Tarboton

ABSTRACT:

Presentation on managing and sharing research data using HydroShare for USU Climate Adaptation Class 2/2/17. Topics covered:
1. Bare essentials of data management
2. HydroShare overview
3. HydroShare Demo

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Generic Generic
HydroShare Pictures
Created: Feb. 10, 2017, 3:35 p.m.
Authors: David Tarboton

ABSTRACT:

A collection of photos of the HydroShare team at various meetings, as well as photo's used on web pages.

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Composite Resource Composite Resource
Logan 10 m Terrain Analysis
Created: Feb. 12, 2017, 5:36 p.m.
Authors: David Tarboton

ABSTRACT:

Results from Hydrologic terrain analysis performed on Logan River Basin Digital Elevation model using TauDEM

The input digital elevation model (DEM) is Logan.tif.

The sequence in the script script.py performs a TauDEM analysis that does the following
- Remove pits (by filling them)
- D8 Flow direction
- D8 Contributing area
- Peuker Douglas Valley skeleton
- Weighted D8 contributing area on Peuker Douglas valley skeleton
- Drop analysis to determine objective channel threshold
- Threshold to map stream indicator raster
- Streamnet to produce shapefile of the stream network

Dinfinity analysis for wetness index and height above the nearest drainage (HAND)
- Dinfinity flow direction
- Dinfinity contributing area
- Topographic wetness index
- Distance down to stream in the vertical direction

The file Logan10m.mxd is an ArcGIS map document file for visualizing the results in ArcGIS.

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ABSTRACT:

Presentation to CUAHSI staff on 4/20/17 as a high level overview of HydroShare to orient new staff on how their work fits into the big picture of HydroShare.

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Collection Resource Collection Resource
Presentations about HydroShare
Created: April 21, 2017, 2:29 p.m.
Authors: David Tarboton

ABSTRACT:

Collection of presentations I have given about the HydroShare project

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ABSTRACT:

Go to meeting presentation to IWRSS model registry team on Nov 8, 2016

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Collection of Great Salt Lake Data
Created: April 23, 2017, 1:34 p.m.
Authors: David Tarboton

ABSTRACT:

Data from the Great Salt Lake and its basin

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ABSTRACT:

Presentation at UCGIS Summer School, May 15, 2017. Digital Elevation Model based Hydrologic And Water Resources Analysis and remarks on CyberGIS, interoperability, collaboration, remote computing and the HydroShare platform for analysis and modeling.

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Generic Generic

ABSTRACT:

This resource is just the Notebook images used in Logan Digital Elevation Model and Jupyter Notebook used as the starting point for UCGIS 2017 workshop Hydrologic Terrain Analysis Hands On Exercise in https://www.hydroshare.org/resource/56bb52dd88524a07ab76eccd173e397b/.

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Generic Generic

ABSTRACT:

HydroShare is an online, collaboration system for sharing hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. Currently, with HydroShare you can: share your data and models with colleagues; manage who has access to the content that you share; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate your resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models on data in HydroShare. Composite resources allow multiple file types from a study to be combined together, providing, as a single resource, an aggregation of all the data elements associated with a model or study. Hydroshare’s composite resource construct can be used to support software that enables transparency and reproducibility, and thereby enhance trust in the research findings. Toward this, as part of the EarthCube GeoTrust project we are investigating how the composite resource construct can be extended to support transparency and reproducibility. The EarthCube GeoTrust project is creating “geounits” which are self-contained packages of computational experiments that can be guaranteed to repeat or reproduce regardless of deployment issues. Since geounits provide a complete description of all the data elements with an instance (run) of a computational experiment, including input files, parameter files, the model executable, associated libraries, and output files produced, they can be mapped to a specialization of HydroShare’s composite resource type. This has a direct effect of transforming HydroShare into a repository of geounits, and making published and cited experiments not only accessible but also reproducible, thereby enhancing trust in them. Tools that create geounits use HydroShare’s REST API to load them into HydroShare, where they can then be shared with other users and downloaded for reproduction of the computational experiment, or further research with additional or alternate data. This presentation will describe the functionality and architecture of HydroShare that enables the creation of geounits comprising: (1) resource storage, (2) resource exploration, and (3) actions on resources by web applications. HydroShare’s components are loosely coupled and interact through APIs, which enhances robustness, as components can be upgraded and advanced relatively independently. The full power of this paradigm is the extensibility it supports, in that anybody can develop a web application that interacts with resources stored in HydroShare. We welcome discussion of the opportunities this enables for interoperability with other EarthCube tools, to the benefit of the geoscience research community.

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Generic Generic

ABSTRACT:

Logan Digital Elevation Model and Jupyter Notebook used as the starting point for Hydrologic Terrain Analysis Hands On exercise.

To use the Jupyter Notebook click on the "Open With" blue bottom at the top right of this page and choose "JupyterHUB NCSA". Then run the first few cells on the Welcome page. These cells establish a secure connection to the HydroShare and get the main notebook and the inputs to run the example. When the main code and the inputs are retrieved, you can click on "TauDEM.ipynb" to see the code and run it. The Jupyter Notebook also has steps to save all the inputs, outputs, and the main code into a new resource.

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ABSTRACT:

Presentations at advancing Hydrologic and Environmental Science through Cyberinfrastructure: Lessons Learned and Paths Forward. Workshop at CUAHSI June 20-22.

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ABSTRACT:

Presentation given to IAHS Scientific Assembly in Port Elizabeth, July 14, 2017

Researchers around the world expend tremendous resources to gather and analyze vast stores of hydrologic data and use them in a myriad of hydrologic models. The goal of HydroShare is to advance hydrologic science by enabling the scientific community to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data and models used to create the scientific publication. HydroShare is a web-based hydrologic information system developed with the goal of sharing, accessing and discovering hydrologic data and models with specific functionality aimed at making collaboration easier and supporting reproducibility, and thus trust in research results. HydroShare has been developed with U.S. National Science Foundation support under the auspices of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) to support the collaboration and community cyberinfrastructure needs of the hydrology research community. Within HydroShare, we have developed new functionality for creating datasets, describing them with metadata, and sharing them with collaborators. We cast hydrologic datasets and models as “social objects” that can be shared, collaborated around, annotated, published and discovered. In addition to data and model sharing, HydroShare supports web application programs (apps) that can act on data stored in HydroShare, just as software programs on your PC act on your data locally. This can free you from some of the limitations of local computing capacity and challenges in installing and maintaining software on your own PC. HydroShare’s web-based cyberinfrastructure can take work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This presentation will describe HydroShare’s collaboration functionality that enables both public and private sharing with individual users and collaborative user groups, and makes it easier for collaborators to iterate on shared datasets and models, creating multiple versions along the way, and publishing them with a permanent landing page, metadata description, and citable Digital Object Identifier (DOI) when the work is complete. This presentation will also describe the web app architecture that supports interoperability with third party servers functioning as application engines for analysis and processing of big hydrologic datasets.

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ABSTRACT:

Presentation given to CUAHSI Informatics Conference, July 26, 2017.

HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. HydroShare supports web apps to act on resources for cloud (server) based visualization and analysis, including large scale geographic and digital elevation model analysis at the CyberGIS center at the National Center for Supercomputing Applications (NCSA) and capability to execute hydrology models (e.g. SWAT and RHESSys models) and connect to geoscience modeling communities (e.g. Landlab). A pending proposal for the next phase of HydroShare development would extend the capabilities of HydroShare to enhance support for model hypothesis testing using the Structure for Unifying Multiple Modeling Alternatives (SUMMA) approach, advance collaboration capability, integrate with 3rd party consumer cloud storage systems and establish an "App Nursery" to enable community coders to develop web apps linked to HydroShare. This presentation will describe the functionality and architecture of HydroShare comprising: (1) resource storage, (2) resource exploration, and (3) actions on resources by web apps. System components are loosely coupled and interact through APIs, which enhances robustness, as components can be upgraded and advanced relatively independently. The full power of this paradigm is the extensibility it supports, in that anybody can develop a web app that interacts with resources stored in HydroShare. We welcome discussion of the opportunities this enables for interoperability with other cyberinfrastructure tools, to the benefit of the hydrology and hydroinformatics research communities.

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Composite Resource Composite Resource

ABSTRACT:

HydroShare is a system operated by CUAHSI for sharing hydrologic data and models aimed at giving hydrologists the cyberinfrastructure needed to manage data, innovate, and collaborate in research to solve water problems. HydroShare addresses the challenges of sharing data and hydrologic models to support collaboration and reproducible hydrologic science through the publication of hydrologic data and models. With HydroShare users can: (1) share data and models with colleagues; (2) manage who has access to shared content; (3) share, access, visualize and manipulate a broad set of hydrologic data types and models; (4) use the web services API to program automated and client access; (5) publish data and models to meet the requirements of research project data management plans; (6) discover and access data and models published by others; and (7) use web apps to visualize, analyze, and run models on data in HydroShare. This workshop will introduce participants to HydroShare and show new features recently deployed. Participants will learn how to use HydroShare to:
• Upload, share and publish science products in HydroShare and receive a citable digital object identifier (DOI). This helps fulfill NSF’s data management requirements.
• Use HydroShare for collaboration, sharing data and models with individual users or a group
• Organize resources into collections in HydroShare
• Use the HydroShare GIS app to visualize and create web maps using content in HydroShare
• Use the HydroShare Jupyter Notebook app to write scripts and short programs to analyze and model with data in HydroShare.
• Use Apps to access and visualize data from the National Water Model.

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Composite Resource Composite Resource

ABSTRACT:

This is the poster presented at the Earthcube all hands meeting June 7, 2017.

HydroShare is an online, collaboration system for sharing hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. Currently, with HydroShare you can: share your data and models with colleagues; manage who has access to the content that you share; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate your resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models on data in HydroShare. Composite resources allow multiple file types from a study to be combined together, providing, as a single resource, an aggregation of all the data elements associated with a model or study. Hydroshare’s composite resource construct can be used to support software that enables transparency and reproducibility, and thereby enhance trust in the research findings. Toward this, as part of the EarthCube GeoTrust project we are investigating how the composite resource construct can be extended to support transparency and reproducibility. The EarthCube GeoTrust project is creating “geounits” which are self-contained packages of computational experiments that can be guaranteed to repeat or reproduce regardless of deployment issues. Since geounits provide a complete description of all the data elements with an instance (run) of a computational experiment, including input files, parameter files, the model executable, associated libraries, and output files produced, they can be mapped to a specialization of HydroShare’s composite resource type. This has a direct effect of transforming HydroShare into a repository of geounits, and making published and cited experiments not only accessible but also reproducible, thereby enhancing trust in them. Tools that create geounits use HydroShare’s REST API to load them into HydroShare, where they can then be shared with other users and downloaded for reproduction of the computational experiment, or further research with additional or alternate data. This presentation will describe the functionality and architecture of HydroShare that enables the creation of geounits comprising: (1) resource storage, (2) resource exploration, and (3) actions on resources by web applications. HydroShare’s components are loosely coupled and interact through APIs, which enhances robustness, as components can be upgraded and advanced relatively independently. The full power of this paradigm is the extensibility it supports, in that anybody can develop a web application that interacts with resources stored in HydroShare. We welcome discussion of the opportunities this enables for interoperability with other EarthCube tools, to the benefit of the geoscience research community.

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ABSTRACT:

This HydroShare resource illustrates to students in the CEE6440 GIS in Water Resources Class at Utah State University how to prepare HydroShare Resources to post term projects!

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Composite Resource Composite Resource

ABSTRACT:

Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of data and populate models to better understand the process they are studying. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance knowledge beyond their original purpose? It is these questions that are motivating the movement towards open data, better data management and collaboration and sharing in the use of data and models. In short, researchers are relying more on teamwork to tackle the big problems of the day. This seminar will describe research being done at Utah State University and other collaborating organizations developing a system, called HydroShare, to address these questions in the context of water data and models. HydroShare is advancing hydrologic science by enabling the scientific community to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data and models used to create the scientific publication. This capability is necessary for community model development, execution, and evaluation and to improve reproducibility and community trust in scientific findings through transparency. As a platform for collaboration and running models on advanced computational infrastructure, HydroShare enhances the capability for data intensive research in hydrology and other aligned sciences. This seminar will provide information for you on the data management resources available to you at Utah State University and how you could take advantage of HydroShare in your own work.

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Generic Generic

ABSTRACT:

Logan Digital Elevation Model and Jupyter Notebook used as the starting point for Hydrologic Terrain Analysis Hands On exercise.

To use the Jupyter Notebook click on the "Open With" blue bottom at the top right of this page and choose "JupyterHUB NCSA". Then run the first few cells on the Welcome page. These cells establish a secure connection to the HydroShare and get the main notebook and the inputs to run the example. When the main code and the inputs are retrieved, you can click on "TauDEM.ipynb" to see the code and run it. The Jupyter Notebook also has steps to save all the inputs, outputs, and the main code into a new resource.

This version is trimmed down from the original version (linked as older version) to just have basic TauDEM processing, The older version also has information on CyberGIS TauDEM app.

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Composite Resource Composite Resource

ABSTRACT:

SMFlowlineGeo.zip contains a shapefile in geographic (NAD 1983) coordinates

SMFlowlineWebM.zip contains a shapefile in Web Mercator coordinates.

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Composite Resource Composite Resource

ABSTRACT:

Taudem is wonderful. This example is for the Sauk watershed.

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ABSTRACT:

HydroShare logo to use in HydroShare presentations or promotions

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Terrain Analysis for Landlab using Taudem
Created: Oct. 21, 2017, 12:24 a.m.
Authors: Christina Bandaragoda

ABSTRACT:

Taudem is awesome!

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Great Salt Lake Bathymetry
Created: Oct. 28, 2017, 12:12 a.m.
Authors: David Tarboton

ABSTRACT:

Digital Elevation Model for the Great Salt Lake, lake bed bathymetry. This is an integration of data from the National Elevation Dataset and multiple bathymetry datasets as described in the README.txt file.

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Composite Resource Composite Resource

ABSTRACT:

This resource holds files to test the various file types under development for composite resources.

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ABSTRACT:

October 30, 2017 presentation to Utah Governors Executive Water Finance Board.

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Composite Resource Composite Resource

ABSTRACT:

Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of data and populate models to better understand the process they are studying. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance knowledge beyond their original purpose? It is these questions that are motivating the movement towards open data, better data management and collaboration and sharing in the use of data and models. In short, researchers are relying more on teamwork to tackle the big problems of the day. This seminar will describe research being done developing a system, called HydroShare, to address these questions in the context of water data and models. HydroShare is advancing hydrologic science by enabling the scientific community to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data and models used to create the scientific publication. This capability is necessary for community model development, execution, and evaluation and to improve reproducibility and community trust in scientific findings through transparency. As a platform for collaboration and running models on advanced computational infrastructure, HydroShare enhances the capability for data intensive research in hydrology and other aligned sciences. This seminar will provide information for you on how you could take advantage of HydroShare in your own work.

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HIS Referenced Time Series HIS Referenced Time Series
MOPEX Gage 01060000 Daily Mean Areal Maximum Temperature
Created: Nov. 12, 2017, 1:21 p.m.
Authors: John Schaake

ABSTRACT:

Daily Mean Areal Maximum Temperature for USGS Gage: 01060000. Taken from MOPEX: ftp://hydrology.nws.noaa.gov/pub/gcip/mopex/US_Data/

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Composite Resource Composite Resource

ABSTRACT:

HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. This presentation will describe the functionality and architecture of HydroShare highlighting its use as a virtual environment supporting education and research. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud (servers remote from the user) overcoming desktop platform limitations. The HydroShare GIS app provides a basic capability to visualize spatial data. The HydroShare JupyterHub Notebook app provides flexible and documentable execution of Python code snippets for analysis and modeling in a way that results can be shared among HydroShare users and groups to support research collaboration and education. We will discuss how these developments can be used to support different types of educational efforts in Hydrology where being completely web based is of value in an educational setting as students can all have access to the same functionality regardless of their computer.

Plain Language Summary

HydroShare is a web based hydrologic information system designed to enhance collaboration within the hydrology community through data sharing. Advancing hydrologic understanding requires combining information from multiple sources which requires collaboration and working as a team or community. HydroShare is a computer system that supports this by enabling users to share units of content referred to as “resources” that hold either data or hydrologic computer models in standardized formats. This presentation will describe the HydroShare data discovery, sharing and publishing capability as well how web apps (computer programs accessed through a web browser) can be used with HydroShare to analyze data and run models completely in servers remote from the user overcoming local desktop computer limitations.

Tarboton, D. G., R. Idaszak, J. S. Horsburgh, D. P. Ames, J. L. Goodall, A. Couch, R. P. Hooper, P. K. Dash, M. Stealey, H. Yi, T. Gan, C. Bandaragoda, A. M. Castronova and The HydroShare Development Team, (2017), "HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology," Abstract ED23D-0330 presented at 2017 Fall Meeting, AGU, New Orleans, Mississippi., 11-15 Dec, https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/298917.

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Composite Resource Composite Resource

ABSTRACT:

HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of, and collaboration around, “resources” which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. This presentation will describe the functionality and architecture of HydroShare highlighting our approach to making this system easy to use and serving the needs of the hydrology community represented by the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI). Metadata for uploaded files is harvested automatically or captured using easy to use web user interfaces. Users are encouraged to add or create resources in HydroShare early in the data life cycle. To encourage this we allow users to share and collaborate on HydroShare resources privately among individual users or groups, entering metadata while doing the work. HydroShare also provides enhanced functionality for users through web apps that provide tools and computational capability for actions on resources. HydroShare’s architecture broadly is comprised of: (1) resource storage, (2) resource exploration website, and (3) web apps for actions on resources. System components are loosely coupled and interact through APIs, which enhances robustness, as components can be upgraded and advanced relatively independently. The full power of this paradigm is the extensibility it supports. Web apps are hosted on separate servers, which may be 3rd party servers. They are registered in HydroShare using a web app resource that configures the connectivity for them to be discovered and launched directly from resource types they are associated with.

Plain Language Summary
HydroShare is a web based hydrologic information system designed to enhance collaboration within the hydrology community through data sharing. Advancing hydrologic understanding requires combining information from multiple sources, which requires collaboration and working as a team or community. HydroShare is a computer system that supports this by enabling users to share units of content referred to as “resources” that hold either data or hydrologic computer models in standardized formats. HydroShare can thus serve as a repository for hydrologic information. This presentation will describe the functionality and architecture of HydroShare highlighting our approach to making this system easy to use and serving the needs of the hydrology community. HydroShare strives to make it easy for users to have their resources well described with metadata (data about data) by collecting this information automatically or having easy to use interfaces for metadata entry. HydroShare also attracts users by providing useful functionality in the form of web apps (computer programs accessed through a web browser). The system is flexible in that web apps can be set up on any web servers to access HydroShare resources, making the system extensible.

Tarboton, D. G., R. Idaszak, J. S. Horsburgh, D. P. Ames, J. L. Goodall, A. Couch, R. P. Hooper, P. K. Dash, M. Stealey, H. Yi, C. Bandaragoda, A. M. Castronova and The HydroShare Development Team, (2017), "The HydroShare Collaborative Repository for the Hydrology Community," Abstract IN12B-02 presented at 2017 Fall Meeting, AGU, New Orleans, Mississippi., 11-15 Dec, https://agu.confex.com/agu/fm17/meetingapp.cgi/Paper/298088.

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ABSTRACT:

This resource holds the narrative text of the proposal funded by NSF to support development of HydroShare from 2017-2021. A second document lists the scope of work adjustments due to NSF not being able to provide the full funding requested.

This work is being pursued through three collaborative NSF Awards
https://nsf.gov/awardsearch/showAward?AWD_ID=1664061
https://nsf.gov/awardsearch/showAward?AWD_ID=1664018
https://nsf.gov/awardsearch/showAward?AWD_ID=1664119

Summary
Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of hydrologic data and populate a myriad of models to better understand hydrologic phenomena and find solutions to vexing water problems. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance hydrologic understanding beyond their original purpose? HydroShare is a system to advance hydrologic science by enabling the scientific community to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data and models used to create the scientific publication. HydroShare supports the sharing and publication of hydrologic data and models. This capability is necessary for community model development, execution, and evaluation and to improve reproducibility and community trust in scientific findings through transparency. As a platform for collaboration and running models on advanced computational infrastructure, HydroShare enhances the capability for data intensive research in hydrology and other aligned sciences. HydroShare is designed to help researchers easily meet the sharing requirements of data management plans while at the same time providing value added functionality that makes metadata capture more effective and helps researchers improve their work productivity. This project will extend the capabilities of the HydroShare cyberinfrastructure to: (1) enhance support for scientific methods enabling systematic data and model analysis and hypothesis testing; (2) advance the social capabilities of HydroShare to enable improved collaborative research; (3) integrate with 3rd party consumer data storage systems to provide more flexible and sustainable data storage; and (4) establish an application testing environment to empower researchers to develop their own computer programs to act on and work with data in HydroShare.

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Web App Resource Web App Resource
Model My Watershed
Created: Feb. 2, 2018, 5:05 p.m.
Authors: · David Tarboton · Anthony Keith Aufdenkampe

ABSTRACT:

Model My Watershed® (MMW) is a watershed-modeling web app that enables citizens, conservation practitioners, municipal decision-makers, educators, and students to
- Analyze land use and soil data in their neighborhoods and watersheds
- Model stormwater runoff and water-quality impacts
- Compare how different conservation or development scenarios could modify runoff and water quality
With this App, you can create a new MMW project for an area of interest, or load an existing MMW project, that has been exported as a HydroShare resource. You can modify the land cover for an area of interest or add best management practices (BMPs) to evaluate the impact on stormwater runoff and water quality.

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ABSTRACT:

This is an overview of the status of the HydroShare project for the CUAHSI Informatics Standing Committee.

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UEB model simulation of snow water equivalent in Logan River watershed from 2008 to 2009
Created: Feb. 22, 2018, 1:45 p.m.
Authors: David Tarboton · Tseganeh Z. Gichamo

ABSTRACT:

This is the model simulation of snow water equivalent in Logan River watershed from 2008 to 2009. The model used is the Utah Energy Balance model which is a snowmelt model. The simulation result is used as the input data for SAC-SMA model to simulate the stream flow of the watershed.

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Web App Resource Web App Resource
OPeNDAP (from Composite)
Created: Feb. 27, 2018, 6:01 p.m.
Authors: David Tarboton

ABSTRACT:

This is the web app that enables OPeNDAP service for Composite resources in HydroShare. The OPeNDAP service is available only for the "Public" composite resources. Due to current Hyrax deployment limitations this does not work for large NetCDF files. Exact upper limit unknown, but has been tested up to 200 MB successfully.

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Web App Resource Web App Resource
OPeNDAP
Created: Feb. 27, 2018, 6:40 p.m.
Authors: David Tarboton

ABSTRACT:

This is the web app that enables OPeNDAP service for the Multidimensional space-time data resources in HydroShare. The OPeNDAP service is available only for the "Public" Multidimensional space-time data resource. Due to current Hyrax deployment limitations this does not work for large NetCDF files. Exact upper limit unknown, but has been tested up to 200 MB successfully.

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Problem raster
Created: March 4, 2018, 3:16 p.m.
Authors: David Tarboton

ABSTRACT:

This illustrates a case sensitivity bug in creating geographic rasters. This can be deleted once https://github.com/hydroshare/hydroshare/issues/2663 is closed

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Big Harvey FEMA flood inundation depths by move
Created: March 10, 2018, 5:30 p.m.
Authors: David Tarboton

ABSTRACT:

This resource is for testing large file functionality of HydroShare

This 15 GB raster file was obtained from FEMA (as a Geodatabase). ArcGIS was then used to export it as a GeoTIFF file.
Then the file was loaded into jupyter.cuahsi.org using the upload file capability (about 2 hours)
Then from jupyter.cuahsi.org iput was used to add the file to iRODS (users.hydroshare.org/hydroshareuserZone)
Then Create Resource used Log in to Irods, Browse iRODS to select this file and the "Move" option to create this resource.

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Big Harvey FEMA Flood Inundation map by copy
Created: March 10, 2018, 5:36 p.m.
Authors: David Tarboton

ABSTRACT:

This resource is for testing large file functionality of HydroShare

This 15 GB raster file was obtained from FEMA (as a Geodatabase). ArcGIS was then used to export it as a GeoTIFF file.
Then the file was loaded into jupyter.cuahsi.org using the upload file capability (about 2 hours)
Then from jupyter.cuahsi.org iput was used to add the file to iRODS (users.hydroshare.org/hydroshareuserZone)
Then Create Resource used Log in to Irods, Browse iRODS to select this file and the "Copy" option to create this resource.

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Composite Resource Composite Resource

ABSTRACT:

Presentation to Research Data Alliance Interest Group session on Preservation Tools, Techniques and Policies at 11th RDA Plenary https://www.rd-alliance.org/plenaries/rda-eleventh-plenary-meeting-berlin-germany/rda-11th-plenary-programme.

HydroShare is operated CUAHSI to support data management and sharing needs of the water research community. It is an easy to use web based hydrologic information system that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud.

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ABSTRACT:

This presentation for the Big Data Hubs (BDHubs) Data Sharing and CI Working Group describes HydroShare, a web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). HydroShare consists of a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with server based data visualization and analysis capability, and a gateway to high performance computing and computing in the cloud.

Presentation via webinar April 6, 2018

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NSF RAPID Proposal funded to create an archive of data from hurricanes Harvey and Irma that impacted the US in 2017.

Hurricane Harvey is the largest storm of up to 5 days duration ever recorded in the United States. Over 50 inches of rain fell in places, and flooding and associated damage in the greater Houston area was extensive, with the storm extending across Texas and neighboring states. Shortly after Harvey struck, Hurricane Irma cut a broad swath across the Caribbean, Florida, and into nearby states, also causing widespread devastation and flooding. During the first few days following these events, even the most elementary kinds of questions about flood inundation depths, extents, and impacts could not be answered because we currently lack the ability to collect important data and the ability to assimilate available data into decision relevant information. One of our team members, David Maidment, at the University of Texas (UT) at Austin was embedded in the Texas State Operations Center helping with the response to Harvey, and along with other colleagues from the UT Center for Water and Environment (CWE) helped the Texas Division of Emergency Management (TDEM) establish an internal geographic information system supporting emergency services. He thus has access to, and deep knowledge of, important data from this work and will now work with TDEM to determine what part of that information can be released for research. Making data from events such as Harvey and Irma accessible is important to fill gaps and improve our understanding of and capability to prepare for and respond to such extreme events. The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) provides a range of data services to the hydrologic research community, including HydroShare, which supports sharing and publication of a broad class of hydrologic data and models. This project will assemble, document, and archive data from hurricanes Harvey and Irma within the CUAHSI HydroShare community repository to make them easily accessible for research in broad hydrologic science community.

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Digital Elevation Models (DEM) are widely used to derive information for the modeling of hydrologic processes. The basic model for hydrologic terrain analysis involving hydrologic conditioning, determination of flow field (flow directions) and derivation of hydrologic derivatives is available in multiple software packages and GIS systems. However as areas of interest for terrain analysis have increased and DEM resolutions become finer there remain challenges related to data size, software and a platform to run it on, as well as opportunities to derive new kinds of information useful for hydrologic modeling. This presentation will illustrate new functionality associated with the TauDEM software (http://hydrology.usu.edu/taudem) and new web based deployments of TauDEM to make this capability more accessible and easier to use. Height Above Nearest Drainage (HAND) is a special case of distance down the flow field to an arbitrary target, with the target being a stream and distance measured vertically. HAND is one example of a general class of hydrologic proximity measures available in TauDEM. As we have implemented it, HAND uses multi-directional flow directions derived from a digital elevation model (DEM) using the Dinifinity method in TauDEM to determine the height of each grid cell above the nearest stream along the flow path from that cell to the stream. With this information, and the depth of flow in the stream, the potential for, and depth of flood inundation can be determined. Furthermore, by dividing streams into reaches or segments, the area draining to each reach can be isolated and a series of threshold depths applied to the grid of HAND values in that isolated reach catchment, to determine inundation volume, surface area and wetted bed area. Dividing these by length yields reach average cross section area, width, and wetted perimeter, information that is useful for hydraulic routing and stage-discharge rating calculations in hydrologic modeling. This presentation will describe the calculation of HAND and its use to determine hydraulic properties across the US for prediction of stage and flood inundation in each NHDPlus reach modeled by the US NOAA’s National Water Model. This presentation will also describe two web based deployments of TauDEM functionality. The first is within a Jupyter Notebook web application attached to HydroShare that provides users the ability to execute TauDEM on this cloud infrastructure without the limitations associated with desktop software installation and data/computational capacity. The second is a web based rapid watershed delineation function deployed as part of Model My Watershed (https://app.wikiwatershed.org/) that enables delineation of watersheds, based on NHDPlus gridded data anywhere in the continental US for watershed based hydrologic modeling and analysis.

Presentation for European Geophysical Union Meeting, April 2018, Vienna. Tarboton, D. G., N. Sazib, A. Castronova, Y. Liu, X. Zheng, D. Maidment, A. Aufdenkampe and S. Wang, (2018), "Hydrologic Terrain Analysis Using Web Based Tools," European Geophysical Union General Assembly, Vienna, April 12, Geophysical Research Abstracts 20, EGU2018-10337, https://meetingorganizer.copernicus.org/EGU2018/EGU2018-10337.pdf.

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Advances in hydrology, as in many domains of science, increasingly requires integration of information from multiple sources, reuse and repurposing of data, and collaboration. The complex, multi-faceted problems faced in hydrology such as predicting floods and droughts in the face of climate and watershed changes cannot be addressed by scientists, either experimentalists or modelers, working individually. Instead, team science and collaboration is required, with data and models open, accessible and transparent to support reproducibility and enhance trust in findings and results. Cyberinfrastructure is needed to help scientists move into this new paradigm of collaborative research. HydroShare is a web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that is available for use worldwide as a service to the hydrology community. HydroShare includes a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with a gateway to high performance computing and computing in the cloud. This presentation will describe the functionality and architecture of HydroShare, highlighting its use as a virtual research environment for managing individual research contributions within collaborative groups to advance science on complex questions. We will illustrate the use of HydroShare for collecting and making accessible to the community data from the US National Water Model and 2017 Atlantic Hurricanes Harvey, Irma and Maria that had significant impacts on parts of the US and islands in the Caribbean. HydroShare is being used to assemble, document and archive hydrologic data from these events to support research to improve our understanding of, and capability to prepare for and respond to, such extreme events in the future. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud, overcoming desktop platform limitations. The HydroShare Jupyter Notebook app provides flexible and documentable execution of Python code snippets for analysis and modeling in a way that results can be shared among HydroShare users and groups to support research collaboration. The Jupyter platform is embedded in high performance and data intensive cyberinfrastructure so that code blocks may include preparation and execution of advanced and data intensive models on the host infrastructure. We will discuss how these developments can be used to support collaborative research in hydrology, where being web based is of value as collaborators can all have access to the same functionality regardless of their computer or location. The architecture of HydroShare is built for extensibility with system components loosely coupled and configured to interact through application programming interfaces (APIs). This enhances robustness, as components can be upgraded and advanced relatively independently. Web apps are hosted on separate servers, which may be 3rd party servers set up by different teams. They are registered in HydroShare using a web app resource that configures the connectivity for them to be discovered and launched directly from resource types they are associated with.

Tarboton, D. G., R. Idaszak, J. S. Horsburgh, D. P. Ames, J. L. Goodall, A. Couch, R. Hooper, S. Wang, M. Clark, P. Dash, H. Yi, C. Bandaragoda, A. Castronova, T. Gan, Z. Li, M. Morsy, M. Ramirez, J. Sadler, D. Yin and Y. Liu, (2018), "HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology," European Geophysical Union General Assembly, Vienna, April 12, Geophysical Research Abstracts 20, EGU2018-9834, https://meetingorganizer.copernicus.org/EGU2018/EGU2018-9834.pdf.

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SUMMA-Hydroshare hands on modeling
Created: April 13, 2018, 9:50 a.m.
Authors: Bart Nijssen · Youngdon Choi · David Tarboton · Martyn Clark

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This resource contains material for the SUMMA-Hydroshare hands on modeling session at the workshop on improving the theoretical underpinnings of hydrologic models, Sopron, Hungary, April 15-18, 2018.

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Reproducing SUMMA Fig 7
Created: April 14, 2018, 3:22 p.m.
Authors: David Tarboton

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This resource was written from NCAR Cheyenne supercomputer running the procedure detailed in Nijssen, B., Y. Choi, D. Tarboton, M. Clark (2018). SUMMA-Hydroshare hands on modeling, HydroShare, http://www.hydroshare.org/resource/c1ab48f11d854459a4baec0b0dea2d33. It gives the results from the SUMMA test case used in that workshop.

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Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of data and populate models to better understand the process they are studying. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance knowledge beyond their original purpose? It is these questions that are motivating the movement towards open data, better data management and collaboration and sharing in the use of data and models. In short, researchers are relying more on teamwork to tackle the big problems of the day. This presentation will describe the HydroShare web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that is available for use as a service to the hydrology community. HydroShare includes a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with a gateway to high performance computing and computing in the cloud. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud, overcoming desktop platform limitations. We will discuss how these developments can be used to support collaborative research and modeling in Hydrology, where being web based is of value as collaborators can all have access to the same functionality regardless of their computer. We will illustrate the use of HydroShare for collecting and making accessible to the community data from the US National Water Model and 2017 Atlantic Hurricanes Harvey, Irma and Maria that had significant impacts on parts of the US and islands in the Caribbean. HydroShare is being used to assemble, document and archive hydrologic data from these events to support research to improve our understanding of and capability to prepare for and respond to such extreme events in the future.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

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Eagleville Watershed
Created: April 22, 2018, 6:59 p.m.
Authors: David Tarboton

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Demo of Wikiwatershed.

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Eagleville watershed Multi-Year model
Created: April 24, 2018, 10:45 a.m.
Authors: David Tarboton

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This Multi-Year Model GWLF-E/Mapshed model for the Eagleville Watershed was generated as a demonstration of WikiWatershed toolkit functionality applied to watersheds delineated using the Rapid Watershed delineation approach described in a presentation at the 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

Tarboton, D. G., N. Sazib and A. Aufdenkampe, (2018), "The Model My Watershed Rapid Watershed Delineation Tool " 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/. https://www.hydroshare.org/resource/d752efeae812478898fb78327f25c87c/

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River hydraulic geometry is an important input to hydraulic and hydrologic models that route flow along streams, determine the relationship between stage and discharge, and map the potential for flood inundation give the flow in a stream reach. Traditional approaches to quantify river geometry have involved river cross-sections, such as are required for input to the HEC-RAS model. Extending such cross-section based models to large scales has proven complex, and, in this presentation, an alternative approach, the Height Above Nearest Drainage, or HAND, is described. As we have implemented it, HAND uses multi-directional flow directions derived from a digital elevation model (DEM) using the Dinifinity method in TauDEM software (http://hydrology.usu.edu/taudem) to determine the height of each grid cell above the nearest stream along the flow path from that cell to the stream. With this information, and the depth of flow in the stream, the potential for and depth of flood inundation can be determined. Furthermore, by dividing streams into reaches or segments, the area draining to each reach can be isolated and a series of threshold depths applied to the grid of HAND values in that isolated reach catchment, to determine inundation volume, surface area and wetted bed area. Dividing these by length yields reach average cross section area, width, and wetted perimeter. Together with slope (also determined from the DEM) and roughness (Manning's n) these provide all the inputs needed for establishing a Manning's equation uniform flow assumption stage-discharge rating curve and for mapping potential inundation from discharge. This presentation will describe the application of this approach across the continental US in conjunction with NOAA’s National Water Model for prediction of stage and flood inundation potential in each of the 2.7 million reaches of the National Hydrography Plus (NHDPlus) dataset, the vast majority of which are ungauged. The continental US scale application has been enabled through the use of high performance parallel computing at the National Center for Supercomputing Applications (NCSA) and the CyberGIS Center at the University of Illinois.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

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Model My Watershed (MMW) is a free web application for modeling the influences of land use and best management practices on stormwater runoff and water quality. The public can access this tool at https://app.wikiwatershed.org/. One component of this tool is a function to define the model domain, or area of interest for analysis and modeling by interactively setting the outlet location and delineating the watershed draining to that location. This functionality has been developed using enhancements to the TauDEM hydrologic terrain analysis software ((http://hydrology.usu.edu/taudem) and includes a tool on the user interface and RESTFul Application Program Interface that accesses backend data generated from NHDPlus Version 2.1 gridded flow directions. The continental US was preprocessed into subwatersheds that include gridded flow directions and the polygon shapefile for the entire watershed draining to the subwatershed outlet. Thus when a point within the domain is input (clicked or entered to RESTFul API), the subwatershed that it falls in is first identified. It is then snapped to the stream by moving down to the first stream (NHDPlus medium resolution stream) encountered along the flow directions. Then the local watershed within the subwatershed is delineated based on subwatershed flow direction grid using an adaptation of the TauDEM gauge watershed function. This local subwatershed is then merged with shapefiles for any upstream watersheds to which it attaches. Small watersheds are delineated within a few seconds, with larger watersheds taking up to 40 s (entire Mississippi). The most time consuming step is the merging and generalization of shape information for display. The polygon that result from this process may be downloaded, and subject to size limitations also entered into the MMW analyze area function to summarize land use, hydrologic soils and other information of interest to hydrologic and water quality modeling within the delineated area. The resulting watershed polygon may also be entered into one of the stormwater or water quality models supported by MMW.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

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The CUAHSI-SCOPE team conducted user-based research to evaluate and design an improved user experience for HydroShare. The user-oriented project focused on identifying key users and workflows, defining current limitations of the system, and developing a comprehensive document of design recommendations.

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Logan Map
Created: May 10, 2018, 8:02 p.m.
Authors: David Tarboton

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This resource contains a HydroShare Map Project file created using the HydroShare GIS web app. The Map Project file is in JSON format and contains data regarding the state of the project upon creating this resource.

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