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space-station's Introduction

f# Space Station

Space on, Humanoids! - Ross Palomaki

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project (see suggested headings below)

Folders

contributors

Each team member has it's own folder under contributors, where they can work on their contribution. Having a dedicated folder for each person helps to prevent conflicts when merging with the main branch.

notebooks

Notebooks that are considered delivered results for the project here.

scripts

Helper utilities that are shared with the team

Recommended content for your README.md file:

Project Summary

Space Station

What does spatial variability look like around a snow telemetry station?

The problem

Identifying spatial variabilty of height of snow and snow water equivalence of the surrounding snowpack in relation to the Wx stations.

Application Example

Identifying which remote weather stations have more representative snow measurements with respect to their surrounding areas.

Sample data

  • SNOTEL Network
  • SnowEx Point data
  • SnowEx Lidar data
  • MesoWest Wx station network

Existing methods

How would you or others traditionally try to address this problem?

Proposed methods/tools

Building from what you learn at this hackweek, what new approaches would you like to try to implement?

Background reading

Optional: links to manuscripts or technical documents for more in-depth analysis.

Contributors

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