Tian Gan

Utah State University | Graduate Student

Subject Areas: Hydrology and water resources, Hydroinformatics

 Recent Activity

ABSTRACT:

This resource contains the use case results of web-based simulation for snowmelt modeling research. The model input files were created by executing the Python script (ueb_setup.py) in CUAHSI JupyterHub web app, which made web requests to HydroDS modeling web services (https://github.com/CI-WATER/Hydro-DS) for inputs preparation. The model output files were created by using the model input files and the UEB web app (https://appsdev.hydroshare.org/apps/ueb-app/). A JupyterHub Notebook file (Data_analysis_code.ipynb) includes the data analysis code to compare the model output created by this use case and another use case (https://doi.org/10.4211/hs.1be4d7902c87481d85b93daad99cf471) with different model grid resolutions (600 m vs 1200 m).

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ABSTRACT:

HydroDS, a system for hydrologic modeling web services, was integrated with HydroShare to support the web-based simulation. This resource contains results of 2 use cases for snowmelt modeling research, which were conducted to test the web-based simulation functionality for hydrologic modeling work.

- Use case 1: The UEB web app (https://appsdev.hydroshare.org/apps/ueb-app/) was used to prepare model input and execute the model for the Utah Energy Balance (UEB) snow model. The model input/output files, metadadata, and Python script for input preparation workflow are stored in HydroShare.

- Use case 2: The CUAHSI JupyterHub web app (https://jupyter.cuahsi.org/) and the UEB web app was used to modify the input preparation workflow and derive new results. New Python code was developed in the CUAHSI JupyterHub web app and saved as a Jupyter Notebook to compare the snow output from the two use cases.

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ABSTRACT:

This is the model simulation of snow water equivalent for the watershed of Dolores River above McPhee reservoir in the Colorado River Basin from 1988 to 2010. The model used is the Utah Energy Balance model which is a physically based snow melt model.

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ABSTRACT:

This is the slides to show the general idea of UEB web app.

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ABSTRACT:

This is used for testing of the Hyrax server data download

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 Contact

Resources
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Resource Resource
cliamte_model_sample
Created: Sept. 21, 2015, 4:34 p.m.
Authors: Nazmus Sazib

ABSTRACT:

WRF climate data output WRF climate data output

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Resource Resource
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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Resource Resource
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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Resource Resource
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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Resource Resource
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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Resource Resource
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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Resource Resource
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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Resource Resource
UEB model simulation of snow water equivalent in Logan River watershed from 2008 to 2009
Created: April 17, 2016, 5:34 p.m.
Authors: 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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Resource Resource
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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Resource Resource
Logan DEM
Created: April 22, 2016, 11:06 p.m.
Authors: Tian Gan

ABSTRACT:

This is used for testing the HydroDS service

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Resource Resource
Logan VRT Raster Dataset
Created: May 4, 2016, 8:21 p.m.
Authors: Tian Gan

ABSTRACT:

This is a VRT file format of Logan DEM raster dataset

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Resource Resource
Demo Composite Resource
Created: March 9, 2017, 12:56 a.m.
Authors: Tian Gan

ABSTRACT:

A Composite resource is a resource which can include multiple files without file format limitations. This resource is aimed to support the metadata and data functions at both file level and resource level to better support data management in HydroShare.
Each file will be annotated with general file type metadata. If the file(s) is in the format which represents a specific file type supported in HydroShare (e.g. .vrt and .tif represent geo raster file type), the file(s) will be supported with specific file type metadata and additional data functions (e.g. metadata extraction from .tif file).
This is an example composite resource to demonstrate how to store different kind of files within the composite resource and provide file type metadata information for each file. To learn more about how to create and use this resource type, please check with HydroShare "HELP" page.

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Resource Resource
test harvey netcdf file
Created: Jan. 8, 2018, 5:01 p.m.
Authors: Tian Gan

ABSTRACT:

This is used to show the issue of the file type metadata for netCDF file type

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Resource Resource
Test netCDF data for metadata editing in file
Created: Jan. 8, 2018, 5:19 p.m.
Authors: Tian Gan

ABSTRACT:

This is used for testing of the Hyrax server data download

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Resource Resource
UEB web app demo slides
Created: Jan. 25, 2018, 9:04 p.m.
Authors: Tian Gan

ABSTRACT:

This is the slides to show the general idea of UEB web app.

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Resource Resource

ABSTRACT:

This is the model simulation of snow water equivalent for the watershed of Dolores River above McPhee reservoir in the Colorado River Basin from 1988 to 2010. The model used is the Utah Energy Balance model which is a physically based snow melt model.

Show More
Collection Collection

ABSTRACT:

HydroDS, a system for hydrologic modeling web services, was integrated with HydroShare to support the web-based simulation. This resource contains results of 2 use cases for snowmelt modeling research, which were conducted to test the web-based simulation functionality for hydrologic modeling work.

- Use case 1: The UEB web app (https://appsdev.hydroshare.org/apps/ueb-app/) was used to prepare model input and execute the model for the Utah Energy Balance (UEB) snow model. The model input/output files, metadadata, and Python script for input preparation workflow are stored in HydroShare.

- Use case 2: The CUAHSI JupyterHub web app (https://jupyter.cuahsi.org/) and the UEB web app was used to modify the input preparation workflow and derive new results. New Python code was developed in the CUAHSI JupyterHub web app and saved as a Jupyter Notebook to compare the snow output from the two use cases.

Show More
Resource Resource

ABSTRACT:

This resource contains the use case results of web-based simulation for snowmelt modeling research. The model input files were created by executing the Python script (ueb_setup.py) in CUAHSI JupyterHub web app, which made web requests to HydroDS modeling web services (https://github.com/CI-WATER/Hydro-DS) for inputs preparation. The model output files were created by using the model input files and the UEB web app (https://appsdev.hydroshare.org/apps/ueb-app/). A JupyterHub Notebook file (Data_analysis_code.ipynb) includes the data analysis code to compare the model output created by this use case and another use case (https://doi.org/10.4211/hs.1be4d7902c87481d85b93daad99cf471) with different model grid resolutions (600 m vs 1200 m).

Show More