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FIX: Add even more updated schedule with new links
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mgrover1 committed May 21, 2024
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6 changes: 3 additions & 3 deletions README.md
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***ARM Summer School 2024: Open Science in the Department of Energy's Atmospheric Radiation Measurement (ARM) User Facility: Connecting State-of-the-Art Models with Diverse Field Campaign Observations***


[![badge](https://img.shields.io/static/v1.svg?logo=Jupyter&label=ARM+JupyterHub&message=ACE+Environment&color=blue)](https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/ARM-Development/arm-ams-short-course-2024&urlpath=lab/tree/arm-ams-short-course-2024/notebooks&branch=main)
[![nightly-build](https://github.com/ARM-Development/arm-ams-short-course-2024/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ARM-Development/arm-ams-short-course-2024/actions/workflows/nightly-build.yaml)
[![badge](https://img.shields.io/static/v1.svg?logo=Jupyter&label=ARM+JupyterHub&message=ACE+Environment&color=blue)](https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/ARM-Development/arm-summer-school-2024&urlpath=lab/tree/arm-summer-school-2024/notebooks&branch=main)
[![nightly-build](https://github.com/ARM-Development/arm-summer-school-2024/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ARM-Development/arm-summer-school-2024/actions/workflows/nightly-build.yaml)

## Motivation

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### Contributors

<a href="https://github.com/ProjectPythia/cookbook-template/graphs/contributors">
<img src="https://contrib.rocks/image?repo=ARM-Development/arm-ams-short-course-2024" />
<img src="https://contrib.rocks/image?repo=ARM-Development/arm-summer-school-2024" />
</a>

## Structure
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3 changes: 2 additions & 1 deletion _toc.yml
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- file: tutorials/comble/comble-mip-tutorial
- file: tutorials/emc2/InstrumentSimulatorsForModelEvaluation.ipynb
- file: tutorials/microhh/analyze_microhh
- file: tutorials/machine_learning/ARM_DQO_Spike_Detection
- file: tutorials/machine_learning/ARM_DQO_Spike_Detection
- file: tutorials/pyart/sail_qpe_grid
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6 changes: 3 additions & 3 deletions preliminary/checklist/git.md
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Expand Up @@ -73,10 +73,10 @@ However, a better, more secure practice is to use a GitHub Personal Access Token
more customizable permissions and can be revoked without affecting your main GitHub user
account password.

Take a moment to work through the instructions on the [GitHub personal access tokens](https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token) page. For this hackweek, you need to check the **repo**, **admin:org**, and **workflow** scope.
Take a moment to work through the instructions on the [GitHub personal access tokens](https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token) page. Make sure you select the "classic" option. **Do not use the fine-grained personal access token option.

Screenshot from github.com setting up the token:
![github-token](../../img/github-token.png)
![github-token](../../images/github-token.png)

Once you have created your token, be sure to save it on your computer in case
you need to re-authenticate again. The token will give you access to your
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```

```shell
Cloning into 'github_setup_check'...
Cloning into 'check_github_setup'...
Username for 'https://github.com': <GitHub Username>
Password for 'https://attendee@github.com':
remote: Enumerating objects: 3, done.
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2 changes: 1 addition & 1 deletion preliminary/checklist_index.md
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Expand Up @@ -58,7 +58,7 @@ If this is your first time accessing the ARM Jupyterhub, then please follow the
When filling out the form, be sure to complete the entries as follows:

* **Visitor Role**: *Collaborator*
* **Resources**: *ARM Data Center Enhanced Jupyterhub Access*
* **Resources**: *ARM ADC JupyterHub Workshop*
* **Justification**: *Participation in the ARM Summer School*
* **Start Date**: May 19
* **End Date**: May 24
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10 changes: 5 additions & 5 deletions schedule.md
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| :---: | :----: | :---: |
| 08:30 AM - 09:30 AM | [Intro to ARM + Welcome](https://docs.google.com/presentation/d/1X1lc7fCF4jDaD_nUZ8l6X7-4O0ZR3eB7/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Sally McFarlane and Jim Mather |
| 09:30 AM - 10:00 AM | Coffee Break | |
| 10:00 AM - 11:00 AM | [Intro to ARM Data Workbench](https://docs.google.com/presentation/d/1v8d_Fd6gqKap2MyonIx9YeTSakY_pUAL/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Sujata Goswami + Mike Giansiracusa |
| 10:00 AM - 11:00 AM | [Intro to ARM Data Workbench](https://docs.google.com/presentation/d/1iZYW8Ch-pC5R0qn1eDfTA6YCqK1qugX4/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Sujata Goswami + Mike Giansiracusa |
| 11:00 AM - 12:00 PM | [Intro to ARM Open Source Software](https://docs.google.com/presentation/d/1e4IAEWNxw2ly8HTMcuz4fLhwpBNcrg2D/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Scott Collis + Joe O'Brien |
| 12:00 PM - 01:00 PM | Working Lunch: Elevator Pitch Intros | Max Grover |
| 01:00 PM - 01:45 PM | [Intro to COMBLE-MIP](https://docs.google.com/presentation/d/1v1WGTEhguSBBQ_lAdj_9c85YpJwHDPqy/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Tim Juliano |
| 01:00 PM - 01:45 PM | [Intro to COMBLE-MIP](https://docs.google.com/presentation/d/1pXFU-2K4PDwpAY9vHqQ-3pIBn0uFg-8M/edit?usp=sharing&ouid=109458928369860454495&rtpof=true&sd=true) | Tim Juliano |
| 01:45 PM - 02:30 PM | [Intro to LASSO](https://docs.google.com/presentation/d/1I4coa4yfnGot2Z_ksSxk0jIIu8X-WrGK/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | William Gustafson |
| 02:30 PM - 03:00 PM | Coffee Break | |
| 03:00 PM - 03:45 PM | [Intro to SAIL and WRF Model Data](https://docs.google.com/presentation/d/1bnRNTT-cxB_tRSeWcEfbYGEbqqROMsve/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Dan Feldman |
Expand All @@ -27,7 +27,8 @@
| :---: | :----: | :---: |
| 08:30 AM - 09:30 AM | [AI/Machine Learning for Data Quality](tutorials/machine_learning/ARM_DQO_Spike_Detection.ipynb) | Mia Li |
| 09:30 AM - 10:00 AM | Coffee Break | |
| 10:00 AM - 12:00 PM | [Aerosol + Profiling Measurements in ARM](https://docs.google.com/presentation/d/1cqg9WOEoMFUHuW10ajIFyrtJ45Q2mg-k/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true)| Damao Zhang + Bobby Jackson |
| 10:00 AM - 11:00 AM | [Aerosol + Profiling Measurements in ARM](https://docs.google.com/presentation/d/1cqg9WOEoMFUHuW10ajIFyrtJ45Q2mg-k/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true)| Damao Zhang + Bobby Jackson |
| 11:00 AM - 12:00 PM | [Intro to ARM Radar Data Products](https://docs.google.com/presentation/d/1D-x3ze1N0UK7elKoqb98MYj3rPr4PXGT/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Ya-Chien Feng and Joe O'Brien |
| 12:00 PM - 01:00 PM | [Working Lunch: Intro to xwrf](tutorials/xarray/xwrf-xarray-intro) | Max Grover |
| 01:00 PM - 05:00 PM | Break into Groups: Plot your Data! | |

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| Time | Topic | Presenter(s) |
| :---: | :----: | :---: |
| 08:30 AM - 09:30 AM | [Intro to ARM Radar Data Products](https://docs.google.com/presentation/d/14O3OSaZadIvVmZPHa3f5cf52avmp_zxx/edit?usp=sharing&ouid=104304750518137712212&rtpof=true&sd=true) | Ya-Chien Feng and Joe O'Brien |
| 09:30 AM - 10:00 AM | Radar Data Retrievals | Joe O'Brien |
| 08:30 AM - 10:00 AM | Radar Data Retrievals | Joe O'Brien |
| 10:00 AM - 10:30 AM | Coffee Break | |
| 10:30 AM - 12:00 PM | Office Hours: How is it going? | |
| 12:00 PM - 01:00 PM | Working Lunch: Installing Local Python | Max Grover |
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6 changes: 4 additions & 2 deletions tutorials/comble/comble-mip-tutorial.ipynb
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"source": [
"# COMBLE-MIP Tutorial\n",
"\n",
"* Please direct any questions to Tim Juliano (NSF NCAR, tjuliano@ucar.edu); updated 5/16/24\n",
"* Please direct any questions to Tim Juliano (NSF NCAR, tjuliano@ucar.edu); updated 5/19/24\n",
"\n",
" * Credit to Florian Tornow (Columbia/NASA GISS) and Ann Fridlind (NASA GISS) for develping much of this code <br/><br/>\n",
"\n",
"* The below notebook focuses on the DOE-funded Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) that took place from 2019-2020. More information about COMBLE can be found in Geerts et al. (2022). <br /><ins>Reference</ins><br />Geerts, B., et al., 2022: The COMBLE campaign: A study of marine boundary layer clouds in Arctic cold-air outbreaks, Bull. Amer. Meteor. Soc, 103, E1371–E1389. https://doi.org/10.1175/BAMS-D-21-0044.1\n",
"\n",
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"source": [
"In addition to the raw model outputs, we have post-processed the WRF and DHARMA outputs for use with EMC^2. Those files may be found at the following paths:\n",
"* WRF: ```/data/project/ARM_Summer_School_2024_Data/comble-mip/output_les/wrf/WRF_Lx25_dx100_FixN_raw/emc2_prep*```\n",
"* DHARMA: ```/data/project/ARM_Summer_School_2024_Data/comble-mip/output_les/dharma/emc2/emc2_prep*``` \\\n",
"* DHARMA: ```/data/project/ARM_Summer_School_2024_Data/comble-mip/output_les/dharma/emc2/emc2_prep*```\n",
"\n",
"EMC^2-ready files from WRF are available hourly while the three DHARMA files *11521.tgz, *20296.tgz, and *29549.tgz are from 06, 12, and 18 UTC, respectively."
]
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7 changes: 7 additions & 0 deletions tutorials/index.md
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| [...and LASSO-ShCu part 2](./lasso/lasso-cacti_part2.ipynb) |
| [Introduction to LASSO-CACTI](./lasso/lasso-cacti.ipynb) |
| [...and LASSO-CACTI part 2](./lasso/lasso-cacti_part2.ipynb) |
| [Introduction to xwrf](./xarray/xwrf-xarray-intro.ipynb) |
| [COMBLE-MIP](./comble/comble-mip-tutorial.ipynb) |
| [Harnessing Instrument Simulators for Model Evalution](./emc2/InstrumentSimulatorsForModelEvaluation.ipynb) |
| [Analyze microhh LES data](./microhh/manalyze_microhh.ipynb) |
| [ARM DQ Office ML Spike Detection](./machine_learning/ARM_DQO_Spike_Detection.ipynb) |
| [Snowfall Retrievals from SAIL X-Band Radar](./pyart/sail_qpe_grid.ipynb) |

3 changes: 2 additions & 1 deletion tutorials/machine_learning/ARM_DQO_Spike_Detection.ipynb
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"source": [
"da_normal = ds_normal[target_variable].values\n",
"time_steps=1\n",
"diff_normal = da_normal - np.roll(da_normal, shift = time_steps) # See Section 3 Feature Engineering"
"diff_normal = da_normal - np.roll(da_normal, shift = time_steps) # See Section 5 Feature Engineering\n",
"diff_normal[:time_steps] = [0]*time_steps"
]
},
{
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