2024/2025 Onboarding Week

[durelles]

This week's primary objective is to provide the hydrologic context. The aim is for the analysts to have familiarity with the hydrologic cycle that includes: units, values (or magnitudes) of streamflow, precipitation, evapotranspiration, and water withdrawals. @ilonah22 @mwdunlap2004

• [x] Summary of data carpentry workshop that includes summary of primary learning outcomes.
• [x] Using an online white-board, create a depiction of the water cycle through a watershed. Ensure you include people and our influence on the cycle.
  • include dimensionless units on basic processes
  • common units (depth = inches; streamflow and ET = cfs, million gallons per day (MGD)
  • table of range of values for Virginia (or watershed within Virginia)
  • powerpoint slide(s)?
• [x] Explore JP Gannon's soil water model. Create short summary, think-pair-share with each other.
  • https://www.frontiersin.org/articles/10.3389/feduc.2022.873196/full
  • https://www.hydroshare.org/resource/0ecadff374aa4a2b84e41f146d39f48c/
  • powerpoint slide; may help with item 1.
• [x] Short summary of the 2 papers below, will help with context/numbers
  • https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.13037
  • https://onlinelibrary.wiley.com/doi/pdf/10.1111/1752-1688.13200
  • written summary; context may help with item 1.
• [x] Plot of hydrograph for 1-2 gages in Virginia.
  • Compare and contrast with each other.
  • Obtain monthly and annual statistics for gage.
  • Crate generic workflow in RMarkdown . Package is dataretrieval.
  • Using Dataretrieval: Apply dataretreival:readNWISsite to determine drainage area and name of your station; Read in daily streamflow dataretreival:readNWISdv for your site over entire available record; Create basic plot (at the console below, type help(plot))
  • Add in gage data, and precipitation if available.
  • Share with powerpoint slide(s)
• [x] Review 2020 Virginia State Water Plan https://www.deq.virginia.gov/home/showpublisheddocument/16134/637991887436000000
• [x] Review project overview issue. Note that this lives in one of our other repositories (this project will be spanning a number of different topics and will reach into at least three repositories) https://github.com/HARPgroup/model_meteorology/issues/32

[ilonah22]

Data Carpentry Brief Summary: In Unix we learned about file management mostly, we created folders, set directories, and moved files around. We then connected it to Git and learned how to use a text editor to commit and edit files. We worked through simple examples using filters, pipes, and loops inside of Unix to become familiar with basic commands.

With R we learned about basic functions, reading in data, the types of data in R (string, chr, and numeric), how to read in data, how to make plots, and some of the functions commonly used in tidy verse. We also connected the project in R to a GitHub repository and practiced frequently committing versions to GitHub.

[mwdunlap2004]

This is our whiteboard drawing and facts about the water cycle, as well as some examples of human impacts in VA Water Cycle Data for VA.pdf

[glenncampagna]

Analyst Checkin 6/4

For all analysts together:

• [x] Go through GitHub push/pull/merge process from the command line
• [x] Get familiarized with GitHub web interface: issues, pull requests, fixing conflicts, setting notifications
• [x] Get familiarized with VAhydro and its organization and hierarchy: riversegs, models, scenarios, metrics
• [x] Install hydrotools and practice with some functions: fn_extract_basin(), om_vahydro_metric_grid()
• [x] Install IHA and show how to use functions (group1() etc.), show tips for handling the large hydrologic datasets (plotting, summarizing)
• [x] Walkthrough of function creation and modularization in R
• [x] SQL / sqldf intro

For new analysts:

• [x] Review 2020 VA State Water Supply Plan

This is the general plan for the analyst checkins for the remainder of the week in addition to what you have given the new analysts @durelles , let us know if we're missing something

[durelles]

This is our whiteboard drawing and facts about the water cycle, as well as some examples of human impacts in VA Water Cycle Data for VA.pdf

This is a great start to thinking about some rivers in Virginia. Let's work on filling out this table that includes all the major rivers (see below, I may be missing one - Powell/Clinch): Potomac, James, Roanoke, New, Shenandoah, & Rappahannock. See if you can find the most downstream gage for each to use within the table. I'd also suggest adding a column for Specific Annual average Streamflow/discharge - that is where you divide the annual mean flow by the watershed area. Let's use the tools within data retrieval to do this tomorrow once you work on the GitHub pull/push and review of water supply plan.

[durelles]

[like] Scott, Durelle reacted to your message:

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From: glenncampagna @.> Sent: Tuesday, June 4, 2024 2:54:59 PM To: HARPgroup/HARParchive @.> Cc: Scott, Durelle @.>; Assign @.> Subject: Re: [HARPgroup/HARParchive] 2024/2025 Onboarding Week (Issue #1262)

Analyst Checkin 6/4

For all analysts:

• Go through GitHub push/pull/merge process from the command line
• Get familiarized with GitHub web interface: issues, pull requests, fixing conflicts, setting notifications
• Get familiarized with VAhydro and its organization and hierarchy: riversegs, models, scenarios, metrics
• Install hydrotools and practice with some functions: fn_extract_basin(), om_vahydro_metric_grid()

For new analysts:

• Review 2020 VA State Water Supply Plan

— Reply to this email directly, view it on GitHubhttps://github.com/HARPgroup/HARParchive/issues/1262#issuecomment-2147745889, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AC4K426B7YKW6UJZNMNUYLTZFXIMHAVCNFSM6AAAAABIWYNTC2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBXG42DKOBYHE. You are receiving this because you were assigned.Message ID: @.***>

[ilonah22]

We rewrote our summary of the Data Carpentry workshop to include some specific functions in Unix and R that we got to practice.

In the Unix portion of the Data Carpentry Workshop, we practiced using this format to manage files by creating folders, directories, and moving files. We incorporated Git into our file management and practiced committing changes to a repository in GitHub. Some functions that we used in our examples included ‘sort -n’ to numerically sort files, the pipe operator to perform multiple functions in one line, ‘rm’ to remove files, and ‘head’ and ‘tail’ to display certain sections of data. Finally, we used ‘for’, ‘do’, and ‘done’ to create simple loops.

During the R portion of the workshop, we did basic calculations using mathematical functions in R and practiced assigning variables and objects. Then, we did simple data manipulation and converted data, for example, using ‘as.logical’ and ‘as.double’ to change data from one type to another or ‘cbind’ and ‘rbind’ to add data to a dataframe. Also, we used ‘ggplot’ to plot example data, this included the use of ‘geom_point’, ‘scale_x_log10’, ‘labs’, ‘geom_line’, and ‘geom_smooth’ to edit the plots. Finally, we used ‘summarise’, ‘select’, ‘filter’, group_by’, and ‘mutate’ to manipulate data and create data summaries.

[durelles]

[like] Scott, Durelle reacted to your message:

---

From: Ilona Hughes @.> Sent: Tuesday, June 4, 2024 3:38:23 PM To: HARPgroup/HARParchive @.> Cc: Scott, Durelle @.>; Mention @.> Subject: Re: [HARPgroup/HARParchive] 2024/2025 Onboarding Week (Issue #1262)

We rewrote our summary of the Data Carpentry workshop to include some specific functions in Unix and R that we got to practice.

— Reply to this email directly, view it on GitHubhttps://github.com/HARPgroup/HARParchive/issues/1262#issuecomment-2147846336, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AC4K42YDBXNPPNU6JW2F6TLZFXNO7AVCNFSM6AAAAABIWYNTC2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBXHA2DMMZTGY. You are receiving this because you were mentioned.Message ID: @.***>