ABSTRACT:

As civil engineers, it is important to understand the status and outlook of our water. Streamflow is one way to represent the hydrologic status in an area. In Provo, we often talk about there being a drought for the last several years. However, there are also lots of different datasets for streamflow. This dataset used data from GEOGLOWS, the National Water Model and observed datasites from NWIS from data.cuahsi.org. I took rivers from Provo in these datasets and looked at there timeseries. Then, I compared the monthly values in 2001 to the normal values from 1990 to 2020. Each month is classified by each data source. I found that the different data sources have different classifications, but all sources put that year as being a year that was more dry.

ABSTRACT:

This is something I am creating just for class.

ABSTRACT:

This resource abstract has been updated by Rachel using the colab notebook. I have added additional geospatial datasets. I added a shapefile with the Geoglows version 1 basins in North America. I also included the country boundaries which can be helpful in a global dataset. Lastly, I added a tiff showing precipitation over the US which correlates to rainfall.This data is based on the GEOGLOWS version 2 historical simulation. This dataset contains streamflow values since 1849 for 7 million stream segments wouldwide. The data for this uploaded dataset contains monthly averages and standard deviations each of the stream segments. The segments each have a unique identifier that can be used to locate the river. This is a zarr file that contains the averages for every month and year as well as just the average over all months as a whole (for example, the average of all the January values on record). This data is designed in order to produce reports about the status and outlook of the rivers in the world.