18-Final-Summative-Asses

Final Exam/Summative Assessment

Complete the tasks below using the data provided. Use the existing code chunks, adding more if needed. Be sure your code is well-formatted and commented appropriately.

You are allowed to liberally copy and paste from the course notes/bookdown. There is no need to reinvent the wheel. You'll need to tweak things here or there to address the specific questions, but for the watershed delineation, fdc, and HBV parts, there is a LOT you can copy and paste from the course notes!

Load the required packages here:

Part 1: McDonald Hollow

We are just starting to work at a new watershed monitoring station in McDonald Hollow on Brush Mountain outside Blacksburg and need to do some preliminary data analysis. Produce the following items to help describe the site.

a. A map of the watershed that drains to the station. (20 pts)

The coordinates of the station are roughly 37.24, -80.483. There is a DEM of the area in the Data folder. It has already been prepared for hydrologic analysis (filled and breached).

Show the watershed outline on this map over some sort of basemap that allows us to see terrain. This could be a hillshade or a default basemap from an open repository.

b. Make some plots of stage and specific conductivity.

hint: you will have to join these two datasets to do this. Also, there is some bad data at the start of the stage dataset (intentionaly left for you :-)). The pressure transducer data was not being corrected with barometric pressure for a while, so there are stage values that are far too high (in the 9 m range). Be sure to filter out that time period. Additionally, filter out any Conductivity values above 60 microsiemens/cm.

Data prep: You'll use "McDonald_Conductivity.csv" and "McDonald_Stage.csv" in the Data folder

Conductivity is in units of microsiemens per centimeter (10 points)

Plots to create:

Stage and Specific Conductivity (y) v. Time (x) use facets or a composite plot. (10 pts)

A flow duration curve using the stage data. Be careful with your axis labels. (10 pts)

Stage (x) plotted against specific conductivity (y). (10 pts)

Part 2: HBV Calibration

Calibrate the HBV model for watershed 3 at Hubbard Brook (same time period as in class) using the SNOW MELT data set to calibrate rather than discharge. Use a 1000 run Monte Carlo to do this.

For your best model run, calibrated to snow melt, calculate the NSE for DISCHARGE.

Prep Data for the Model and load HBV function: (10 pts)

Calibrate HBV on snow with 1000 run monte carlo: (10 pts)

*Note: In the monte carlo in the bookdown, Use cbind to add Qobs. In this version you need to add Qobs1, because it has a DATE column. This allows you to bring in the snow data by joining on the DATE column.

Make two plots:

a. Time-series showing Observed and Modeled discharge (5 pts)

b. Time-series showing Observed and Modeled snow (5 pts)

Provide the snow NSE and the discharge NSE below. (5 pts)

Answer the following question:

Was the discharge NSE from calibrating on snow better or worse than when we calibrated on discharge? Why do you think this is? (5 pts)