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2022-modeling-tenuous-arctic-clouds

https://github.com/lsterzinger/2022-modeling-tenuous-arctic-clouds

Science Score: 64.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
    Links to: zenodo.org
  • ✓
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    1 of 1 committers (100.0%) from academic institutions
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    Institutional organization owner
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    Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: lsterzinger
  • License: cc0-1.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.64 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 7
Created about 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License Citation

README.md

Plotting scripts for Sterzinger et al. (2022; in review)

Link to preprint in Atmospheric Chemistry and Physics

Plotting notebooks to reproduce all figures in the paper are located in ./figure-notebooks.

NOTE: Data is not included in this repository. To download required data, run ./get_model_data.sh and ./get_obs_data.sh.

A Conda environment is included. If you do not have conda installed, I recommend miniconda. Create the environment and launch a Jupyter Lab instance with: ``` conda create env -f environment.yml conda activate arctic-clouds-plots

jupyter lab ```

This repository is fully citeable with a DOI:

DOI

External Data

No data is included in this repo. Data must be downloaded by running the two bash scripts in the base directory of this repo.

./get_model_data.sh ./get_obs_data.sh Note: the get_obs_data.sh script will download approximately 8 Gb of data

Oliktok Pt Data

All observation data from oliktok point is from the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) user facility at Oliktok Pt, Alaska. Data from the download script are hosted on a UC Davis compute cluster, and can also be found at https://adc.arm.gov/discovery/#/results/site_code::oli

ASCOS Data

All data from ASCOS downloaded by the script comes directly from ASCOS data sources: either https://bolin.su.se/data/ascos, http://www.ascos.se, or ftp://ftp1.esrl.noaa.gov/psd3/cruises/ASCOS_2008/ODEN/radar/mmcr/DAMOCLES

SMT Data

Radar, sounding, and microwave radiometer data from summit downloaded comes from https://adc.arm.gov/discovery/#/results/site_code::smt. The aerosol data was taken from the UK Centre for Environmental Data Analysis (CEDA) and can be cited as follows: Guy, H.; Neely III, R.R.; Brooks, I. (2020): ICECAPS-ACE: surface aerosol concentration measurements (condensation nuclei > 5nm diameter) taken at Summit Station Greenland. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/f56980457ce240ccab5ac6d403c81e7a

but has been re-hosted on a UC Davis compute cluster for easier access.

ERA5 Data

Plots 2,3, and 4 use ECMWF ERA5 reanalysis data, obtained from https://rda.ucar.edu/datasets/ds633.0/ and distributed under CC BY 4.0

Owner

  • Name: Lucas Sterzinger
  • Login: lsterzinger
  • Kind: user
  • Location: Davis, CA

Scientific Software Developer @NASA GES DISC | PhD in Atmospheric Science

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Sterzinger"
    given-names: "Lucas"
    orcid: "https://orcid.org/0000-0003-3321-4534"
title: "Plotting scripts for Sterzinger et al (2022) (in prep)"
version: 0.0.1
date-released: 2022-01-11
doi: 10.5281/zenodo.5838483
url: "https://github.com/lsterzinger/2022-modeling-tenuous-arctic-clouds/"

GitHub Events

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Last synced: over 1 year ago

All Time
  • Total Commits: 44
  • Total Committers: 1
  • Avg Commits per committer: 44.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Lucas Sterzinger l****r@u****u 44
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ucdavis.edu: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 16 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
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  • Pull requests: 0
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  • Average comments per issue: 0
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  • lsterzinger (3)
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Dependencies

environment.yml conda
  • cartopy
  • dask
  • jupyterlab
  • matplotlib
  • metpy
  • netcdf4
  • numpy
  • pandas
  • pyrams
  • python >=3.6
  • xarray