https://github.com/gemisis/weather-patterns

A little AWS lambda function for retrieving historical weather patterns, specifically related to tropical storms.
https://github.com/gemisis/weather-patterns

amazon-lambda amazon-web-services aws aws-lambda lambda noaa noaa-data noaa-historical-data noaa-weather python python3

Last synced: 3 months ago
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A little AWS lambda function for retrieving historical weather patterns, specifically related to tropical storms.

• Host: GitHub
• URL: https://github.com/gemisis/weather-patterns
• Owner: GEMISIS
• License: mit
• Created: 2019-01-30T17:23:59.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-30T17:47:26.000Z (over 6 years ago)
• Last Synced: 2025-01-22T14:31:56.203Z (5 months ago)
• Topics: amazon-lambda, amazon-web-services, aws, aws-lambda, lambda, noaa, noaa-data, noaa-historical-data, noaa-weather, python, python3
• Language: Python
• Homepage:
• Size: 908 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# weather-patterns

A little AWS lambda function for retrieving historical weather patterns, specifically related to tropical storms.

Data from: http://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html

## Setup

First, make sure you install everything from the **requirements.txt** file. Once that's done, you should be all set!

## Deployment

You'll want to setup an environment from which to run the lambda (with the necessary dependencies installed to their). Once that's done, you can then copy the environment (with the **lambda_function.py** script) to your lambda function, and it should run without issue!

## Sample Images

![Total Storm Numbers](samples/total_number_storms.png "Total Storm Numbers")

![Storm Type Counts](samples/storm_type_counts.png "Storm Type Counts")