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Type: | Resource | |
Storage: | The size of this resource is 59.8 KB | |
Created: | Apr 23, 2020 at 1:15 a.m. | |
Last updated: | Apr 23, 2020 at 2:11 a.m. | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Public |
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Views: | 1189 |
Downloads: | 23 |
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Abstract
This resource contains a Python 3 program that can be used in Jupyter Notebook to download annual peak streamflow data from United States Geological Survey (USGS) Surface Data Portal for a USGS gage station and plot its flood frequency curve.
Subject Keywords
Coverage
Spatial
Content
Readme.txt
Description: This resource contains the Python code used to download Peak Streamflow data. It also contains sample data downloaded for USGS Station Number 03335500 (Wabash River at Lafayette) and its Flood Frequency Curve. Content Details > peakstreamflow.ipynb This python code has been created using Jupyter Notebook with Pythod 3.0. The program can be used to download and save peak streamflow data (based on user defined station number) as a .txt file in the assigned location and further plot and its flood frequency curve. > Example Dataset (Data_03335500_raw.txt, Flood Frequency Curve.png) The example dataset contains data downloaded for USGS Station 03335500 and its corresponding flood frequency curve.
Credits
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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Venkatesh Merwade | Purdue University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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