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).
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.
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.
ABSTRACT:
This is the slides to show the general idea of UEB web app.
ABSTRACT:
This is used for testing of the Hyrax server data download
Contact
(Log in to send email) |
All | 0 |
Collection | 0 |
Resource | 0 |
App Connector | 0 |
ABSTRACT:
WRF climate data output WRF climate data output
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.
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.
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.
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.
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.
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/)
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.
ABSTRACT:
This includes the basic design idea of the composite resource type for discussion
ABSTRACT:
This is a VRT file format of Logan DEM raster dataset
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.
ABSTRACT:
This is used to show the issue of the file type metadata for netCDF file type
ABSTRACT:
This is used for testing of the Hyrax server data download
ABSTRACT:
This is the slides to show the general idea of UEB web app.
Created: Nov. 13, 2018, 12:32 a.m.
Authors: Tian Gan
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.
Created: April 15, 2019, 9:51 p.m.
Authors: Tian Gan
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.
Created: April 15, 2019, 11:08 p.m.
Authors: Tian Gan
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).