|LabCOIntro=This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
|LabCOIntro=This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
We will be looking at data on river discharge -- the volume of water transported through a given cross section per time -- of the Colorado River.
We will be looking at data on river discharge--the volume of water transported through a given cross section per time--in the Colorado River.
This Notebook lends itself to a short introduction on the concept of river discharge, how it is measured and an introduction on gauging stations of the USGS.
This Notebook lends itself to a short introduction on the concept of river discharge and how it is measured, as well as an introduction to the gauging stations of the USGS.
The data analysis part requires basic Python data handling skills, but the coding is introductory level.
The data analysis requires basic Python data handling skills, but the coding is introductory level.
Students can run through the Notebook and are encouraged to do assignments by themselves (or as homework). A review and discussion of solutions by the instructor after completion by the participants is recommended.
Students can run the Notebook, and they're encouraged to do assignments on their own or as homework. A review and discussion of solutions by the instructor after completion by the participants is recommended.
This lab can be run on the CSDMS JupyterHub; follow the instructions to sign up for an account at: https://csdms.colorado.edu/wiki/JupyterHub. Once approved, run the Notebook by clicking on the "start" link under the '''Run online''' heading at the top of this page.
This lab can be run on the CSDMS JupyterHub; follow the instructions to sign up for an account at: https://csdms.colorado.edu/wiki/JupyterHub. Once approved, run the Notebook by clicking on the "start" link under the '''Run online''' heading at the top of this page.
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{{LabLearningObjectivesSkills
{{LabLearningObjectivesSkills
|LabSkill=Load csv data from a file using the ''pandas'' library
|LabSkill=Load csv data from a file using the pandas library
}}
}}
{{LabLearningObjectivesSkills
{{LabLearningObjectivesSkills
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{{LabNotes
{{LabNotes
|LabNotesInstructions=River discharge data for many US rivers is available from the USGS water watch website:
|LabNotesInstructions=River discharge data for many US rivers is available from the USGS WaterWatch website:
http://waterwatch.usgs.gov/?m=real&r=co
http://waterwatch.usgs.gov/?m=real&r=co.
River stage data is typically measured by keeping track of the water surface height over time, i.e. stage, and this needs to be converted to discharge through a stage-discharge relationship.
River stage data is typically measured by keeping track of the water surface height over time, i.e. stage, and this needs to be converted to discharge through a stage-discharge relationship.
Tabular data like this data with a combination of dates, name and data quality strings, and numbers are best handled by spreadsheets where entries such as dates and times are in some useful format. In Python the Python Data Analysis Library (a.k.a. Pandas) is really useful for this purpose.
Tabular data like these, with a combination of dates, name and data quality strings, and numbers are best handled by spreadsheets where entries such as dates and times are in some useful format. In Python the Python Data Analysis Library (a.k.a. Pandas) is really useful for this purpose.
We use one discharge data file downloaded for the USGS station at Kremmling, CO, for the Upper Colorado.
We use one discharge data file downloaded for the USGS station at Kremmling, CO, for the Upper Colorado.
|LabAcknowledgements=This material is based upon work supported by the National Science Foundation under Grant No. 1831623, ''Community Facility Support: The Community Surface Dynamics Modeling System (CSDMS)''.
|LabAcknowledgements=This material is based upon work supported by the National Science Foundation under Grant No. 1831623, ''Community Facility Support: The Community Surface Dynamics Modeling System (CSDMS)''.
What are some difficulties for relating stage to discharge?
Python Skill Learning Objectives:
Load csv data from a file using the pandas library
Access data in a DataFrame
Create plots of data from a DataFrame
Save plots to a file
Classroom organization This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
We will be looking at data on river discharge--the volume of water transported through a given cross section per time--in the Colorado River.
This Notebook lends itself to a short introduction on the concept of river discharge and how it is measured, as well as an introduction to the gauging stations of the USGS.
The data analysis requires basic Python data handling skills, but the coding is introductory level.
Students can run the Notebook, and they're encouraged to do assignments on their own or as homework. A review and discussion of solutions by the instructor after completion by the participants is recommended.
This lab can be run on the CSDMS JupyterHub; follow the instructions to sign up for an account at: https://csdms.colorado.edu/wiki/JupyterHub. Once approved, run the Notebook by clicking on the "start" link under the Run online heading at the top of this page.
River stage data is typically measured by keeping track of the water surface height over time, i.e. stage, and this needs to be converted to discharge through a stage-discharge relationship.
Tabular data like these, with a combination of dates, name and data quality strings, and numbers are best handled by spreadsheets where entries such as dates and times are in some useful format. In Python the Python Data Analysis Library (a.k.a. Pandas) is really useful for this purpose.
We use one discharge data file downloaded for the USGS station at Kremmling, CO, for the Upper Colorado.
Acknowledgements This material is based upon work supported by the National Science Foundation under Grant No. 1831623, Community Facility Support: The Community Surface Dynamics Modeling System (CSDMS).
