Steven White
Utah State University
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ABSTRACT:
The purpose of this resource is to provide a script that automates data retrieval from the USGS NWIS database. Included in this resource is a Jupyter Notebook script (dataretrieval_percentiles.ipynb), that contains detailed comments for data extraction automation using the dataretrieval library. The script uses USGS 10126000 Bear River near Corinne, UT as a case study, however, the inputs can easily be modified such that a similar analysis could be performed for any watershed in the United States as long as there is an active USGS gage station or a period of record for which the gage stations was active. In addition to the aforementioned script, this resource contains a readme.txt file with instruction for opening and executing the script using the HydroShare and CUAHSI JupyterHub interface.
ABSTRACT:
The purpose of this resource is to automate extraction of discharge data from the United States Geological Survey (USGS) National Water Information System (NWIS) (https://waterdata.usgs.gov/nwis), precipitation from PRISM Climate Group database (https://prism.oregonstate.edu/), and evapotranspiration from the OpenET databases (https://openetdata.org/). This resource is part of a semester project for the USU CEE 6110: Hydroinformatics class (Spring 2022).
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Created: March 10, 2022, 7:11 p.m.
Authors: White, Steven ยท Abualqumboz, Motasem
ABSTRACT:
The purpose of this resource is to automate extraction of discharge data from the United States Geological Survey (USGS) National Water Information System (NWIS) (https://waterdata.usgs.gov/nwis), precipitation from PRISM Climate Group database (https://prism.oregonstate.edu/), and evapotranspiration from the OpenET databases (https://openetdata.org/). This resource is part of a semester project for the USU CEE 6110: Hydroinformatics class (Spring 2022).
Created: April 20, 2022, 4:09 p.m.
Authors: White, Steven
ABSTRACT:
The purpose of this resource is to provide a script that automates data retrieval from the USGS NWIS database. Included in this resource is a Jupyter Notebook script (dataretrieval_percentiles.ipynb), that contains detailed comments for data extraction automation using the dataretrieval library. The script uses USGS 10126000 Bear River near Corinne, UT as a case study, however, the inputs can easily be modified such that a similar analysis could be performed for any watershed in the United States as long as there is an active USGS gage station or a period of record for which the gage stations was active. In addition to the aforementioned script, this resource contains a readme.txt file with instruction for opening and executing the script using the HydroShare and CUAHSI JupyterHub interface.