Various Arctic Sea Ice change graphic visualizations

• Sea Ice loss contribution by countries and sectors based on GHG emissions
• Sea Ice loss trend for countries by industry sectors
• Sea Ice age trends over time

NOTE: None of these are developed to be production ready applications. Just for education purposes.

Application endpoints

/

• This is a blank page with navigation menu

/siage

• Simple tool to assess Arctic sea ice age changes over time
• parameters:
  • by : trends by year or by month
  • age categorization : by year or age categories
  • %age : show values or percentage
• Also shows a sankey chart of the change over time.
• Comparison of the latest week image available on NSIDC server in comparison to same week in 1984. NOTE: images are not updated by this flask app, another script needs to run monthly to download latest images from NSIDC server
• Small description of the Sea Ice and datasources used.

/sialoss

• Arctic Sea ice loss contribution by countries and sectors based on GHG emissions.
• filters
  • Data by : Countries or sectors
  • Cumulative : cumulative contribution or for a given year
  • Data source : CAIT or PIK
  • per capita: total or per capita contribution
  • year : to select a given year
• Gives some examples of the size of sea ice loss in comparison to popular city sizes

/sia_country

• Trends by industry sectors for a given country or region
• filters
  • cumulative : cumulative or annual values
  • data source: CAIT or PIK
  • per capita : total or per capita trends
  • country/region : select option for country or regions

Configuration and run

From local machine

• use requirements.txt (pip) or environments.yml(conda) to setup flask environment.
• To run from VS Code
  • make sure that .vscode/settings.json points to the correct python.
  • Check .vscode/launch.json for settingsif you have changed any file name.
  • Run the envoronment in VS code by selecting the correct configuration
• To run from commond prompt
  • make sure that current working directory is root directory of this application
  • Set the FLASK_APP="webapp.py" in your python virtual environment.
    • For powershell - $env:FLASK_APP="webapp.py"
    • For windows cmd - set FLASK_APP="webapp.py"
    • For unix/MacOS - export set FLASK_APP="webapp.py"

As a docker container

• It is also possible to run the application as docker container.
• However, some changes need to be done to make the /siage route working as this view relies on data from another script to be available
• make below changes
  • uncomment below lines in csutils.py > get_sia_fnames
    • #local_img_path = "./nsidc/imgs/" - NSIDC image are kept here for first year (1984) and latest year
    • #local_nc_path = "./nsidc/data/" - NSIDC NETCDF4 files are kept here.
  • To help test the application for 2021 images are made available in folder nsidc with aboe given structure
• Build docker container
• Run docker container with volume mount as
  • docker run -p 5000:5000 --name sia --mount type=bind,source=d:/[path to nsidc directory],target=/app/nsidc [image name]

Structure

• db/

  Postgres export of the table as well CSV exports of the tables needed for the project. Please note they are not updated with latest values

• config

  Contains database.in with db configuration. you need to update with your local db. Current code is specific to Postgress DB.