Linnea Saby
University of Virginia
Recent Activity
ABSTRACT:
Reproducibility is a fundamental requirement to advance science, and data management is the basic element for reproducibility. In hydrological modeling, there have been many efforts to improve the use of spatial data as model input; however, data sharing is file-level, the use of APIs are difficult, and data distribution service is fragile from fast-evolving technologies. Currently large datasets, GeoServer, and OPeNDAP are only used separately, limiting their benefits. The objective of this study is to create and share interoperable and reusable state scale large spatial datasets on GeoServer and OPeNDAP in HydroShare for open and reproducible seamless environmental modelling. We, first, present the procedures for creating and sharing large datasets. Then, we present application workflows with an example of the Regional Hydro-Ecologic Simulation System and evaluate the data consistency of large datasets. We apply three different scales of watershed in three different states to evaluate data consistency in modeling workflows.
ABSTRACT:
This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Spout Run, VA
To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.
ABSTRACT:
RHESSys notebooks for Spout run simulation
ABSTRACT:
Notebook Tutorials for RHESSys Modeling using pyRHESSys: Watts Branch example
ABSTRACT:
This resource models outflow at USGS station 01665500 using HEC-HMS software. Precipitation data was imported from the Charlottesville-Albemarle regional airport, which is located about 13 miles northeast of the outflow gage. SCS-curve number, SCS Unit Hydrograph, baseflow recession, and Muskingum routing methods were selected in HEC-HMS. No canopy or surface method was used. The model was calibrated using a precipitation event on 05/05/2016, and tested using an event from 4/19-20/2015. Results show an underestimation of peak outflow of 15% compared to observed data for one model test. The most significant discrepancy between the model and observed outflow is peak flow time, which is likely due in large part to the 13 mile distance between precipitation and outflow gages. Differences may also be due to varying antecedent moisture conditions. This project was an assignment for CE-6230 (Hydrology) at the University of Virginia.
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ABSTRACT:
This resource models outflow at USGS station 01665500 using HEC-HMS software. Precipitation data was imported from the Charlottesville-Albemarle regional airport, which is located about 13 miles northeast of the outflow gage. SCS-curve number, SCS Unit Hydrograph, baseflow recession, and Muskingum routing methods were selected in HEC-HMS. No canopy or surface method was used. The model was calibrated using a precipitation event on 05/05/2016, and tested using an event from 4/19-20/2015. Results show an underestimation of peak outflow of 15% compared to observed data for one model test. The most significant discrepancy between the model and observed outflow is peak flow time, which is likely due in large part to the 13 mile distance between precipitation and outflow gages. Differences may also be due to varying antecedent moisture conditions. This project was an assignment for CE-6230 (Hydrology) at the University of Virginia.
Created: Dec. 17, 2020, 11:53 p.m.
Authors: Choi, Young-Don
ABSTRACT:
Notebook Tutorials for RHESSys Modeling using pyRHESSys: Watts Branch example
Created: March 19, 2021, 8:42 p.m.
Authors: Choi, Young-Don
ABSTRACT:
RHESSys notebooks for Spout run simulation
Created: May 13, 2021, 10:47 p.m.
Authors: Choi, Young-Don
ABSTRACT:
This HydroShare resource provides the Jupyter Notebooks for RHESSys End-to-End modeling workflow using the GeoServer approach at Spout Run, VA
To find out the instructions on how to run Jupyter Notebooks, please refer to the README file which is provided in this resource.
Created: May 14, 2021, 2:59 a.m.
Authors: Choi, Young-Don · Goodall, Jonathan · Band, Lawrence · Maghami, Iman · Lin, Laurence · Saby, Linnea · Li, Zhiyu/Drew · Wang, Shaowen · Calloway, Chris · Seul, Martin · Ames, Dan · Tarboton, David · Yi, Hong
ABSTRACT:
Reproducibility is a fundamental requirement to advance science, and data management is the basic element for reproducibility. In hydrological modeling, there have been many efforts to improve the use of spatial data as model input; however, data sharing is file-level, the use of APIs are difficult, and data distribution service is fragile from fast-evolving technologies. Currently large datasets, GeoServer, and OPeNDAP are only used separately, limiting their benefits. The objective of this study is to create and share interoperable and reusable state scale large spatial datasets on GeoServer and OPeNDAP in HydroShare for open and reproducible seamless environmental modelling. We, first, present the procedures for creating and sharing large datasets. Then, we present application workflows with an example of the Regional Hydro-Ecologic Simulation System and evaluate the data consistency of large datasets. We apply three different scales of watershed in three different states to evaluate data consistency in modeling workflows.