Anne Lightbody
University of New Hampshire
Recent Activity
ABSTRACT:
This resource was developed as part of a HydroLearn module of the same name. It is divided into 3 sections that correspond to their respective units in the learning module. The first, Data_Analysis, uses a Jupyter notebook and historical USGS and NOAA data (uploaded by the user) to estimate evapotranspiration using a water balance approach for a small undisturbed watershed and display annual seasonality of precipitation and streamflow. The next, RHESSys_Model introduces the user to RHESSys, an ecohydrologic model, and uses it to conduct a simple sensitivity analysis in the JupyterHub environment. The last, Model_Eval, uses a Jupyter notebook to evaluate RHESSys model output of streamflow in Sagehen Creek against observed streamflow analyzed in the first unit.
Contact
(Log in to send email) |
All | 0 |
Collection | 0 |
Resource | 0 |
App Connector | 0 |
![Resource Resource](/static/static/img/resource-icons/composite48x48.9d90905ebe96.png)
Created: July 19, 2021, 5:37 p.m.
Authors: Lightbody, Anne · Tamaddun, Kazi · Graup, Louis
ABSTRACT:
This resource was developed as part of a HydroLearn module of the same name. It is divided into 3 sections that correspond to their respective units in the learning module. The first, Data_Analysis, uses a Jupyter notebook and historical USGS and NOAA data (uploaded by the user) to estimate evapotranspiration using a water balance approach for a small undisturbed watershed and display annual seasonality of precipitation and streamflow. The next, RHESSys_Model introduces the user to RHESSys, an ecohydrologic model, and uses it to conduct a simple sensitivity analysis in the JupyterHub environment. The last, Model_Eval, uses a Jupyter notebook to evaluate RHESSys model output of streamflow in Sagehen Creek against observed streamflow analyzed in the first unit.