Hydrologic Statistics and Data Analysis (M1)


An older version of this resource http://www.hydroshare.org/resource/873b5490f986428bbd23e37c81906402 is available.
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Created: Dec 02, 2020 at 12:44 a.m.
Last updated: Jun 07, 2021 at 4:53 p.m.
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Abstract

This resource contains a Jupyter Notebook that is used to introduce hydrologic data analysis and conservation laws. This resource is part of a HydroLearn Physical Hydrology learning module available at https://edx.hydrolearn.org/courses/course-v1:Utah_State_University+CEE6400+2019_Fall/about

In this activity, the student learns how to (1) calculate the residence time of water in land and rivers for the global hydrologic cycle; (2) quantify the relative and absolute uncertainties in components of the water balance; (3) navigate public websites and databases, extract key watershed attributes, and perform basic hydrologic data analysis for a watershed of interest; (4) assess, compare, and interpret hydrologic trends in the context of a specific watershed.

Please note that in problems 3-8, the user is asked to use an R package (i.e., dataRetrieval) and select a U.S. Geological Survey (USGS) streamflow gage to retrieve streamflow data and then apply the hydrological data analysis to the watershed of interest. We acknowledge that the material relies on USGS data that are only available within the U.S. If running for other watersheds of interest outside the U.S. or wishing to work with other datasets, the user must take some further steps and develop codes to prepare the streamflow dataset. Once a streamflow time series dataset is obtained for an international catchment of interest, the user would need to read that file into the workspace before working through subsequent analyses.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Longitude
-111.7589°
Latitude
41.8692°

Content

References

Related Resources

This resource updates and replaces previous version: http://www.hydroshare.org/resource/873b5490f986428bbd23e37c81906402
The content of this resource is part of: Lane, B. A. & Garousi Nejad, I. (2019), Physical Hydrology, HydroLearn, https://edx.hydrolearn.org/courses/course-v1:Utah_State_University+CEE6400+2019_Fall/about

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation (NSF) Collaborative Research: Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resou 1726965
National Science Foundation (NSF) Collaborative Research: Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resou 1725989
Utah State University Open Educational Resources (OER) Grant

How to Cite

Garousi-Nejad, I., B. Lane (2021). Hydrologic Statistics and Data Analysis (M1), HydroShare, http://www.hydroshare.org/resource/bd0b38fc5d1e4d5c895dc484ceeb2c2a

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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