ABSTRACT:

This resource contains the inputs and outputs of a python code titled "Final_GEOGloWS_PeakFlows." I am doing a study on over 100 USGS stream gages in Nebraska. My code acquires historical peak flow data from GEOGloWS using my StreamReachIDs.csv which gives the stream reach ID associated with each of my gage locations. Next, my code organizes my GEOGloWS peak flow data into water years and extracts the maximum value from each water year for each gage. The output is an annual peak flow data series for every stream reach. The annual peak flow data for each gage is stored in my all_geoglows_data.csv. Next, I loop through my annual peak flow data to estimate the 2, 5, 10, 25, 50, and, 100-year return period flows for each stream reach using the Gumbel Type-1 distribution. The results of the return period estimates for each stream reach are stored in my final_rp_df.csv. Finally, I used the data stored in my final_rp_df.csv to create an interactive map which displays the location of each USGS gage in my study as points. These points have pop-up windows associated with them so that when they are clicked, they display useful information about the gage such as the name, number, reach ID, lat, long, and return period flows. My interactive map has been saved as an html file named interactive_map.html. My code is available in this resource.

ABSTRACT:

A HydroShare web app hosted on our CAEDM server used for displaying GIS layers on a base map.

ABSTRACT:

this is a test.

ABSTRACT:

We compare the peak flow estimates of Bulletin17C to peak flow estimates of curve number methods in search of a drainage area limitation of curve number methods. We also compare estimates of Nebraskan regression equations.