Nasa Space Apps 2023 - Met Office, Exeter

Resources:

• 2023 challenges
• Met Office blog

Space weather-y challenges

1. Oracle of DSCOVR
2. Magnetic reconnection
3. Immersed in the sounds of space
4. ??? Helio Big Year

Creche-compatible challenges

1. Eclipses: Perspective
2. Work of SARt
3. Video on Artemis?
4. Open science storytelling

Introduction

This series of tutorials on technical and data resources for NASA Space Apps Challenge 2023, hosted in Exeter by the Joint Centre of Excellence in Environmental Intelligence and TechExeter.

Introduction to Python for Environmental Science

Learn about useful Python packages for working with environmental datasets and work through some basic examples for loading and exploring different types of data.

Machine Learning with Weather Data

A brief introduction to machine learning and have the opportunity to work through a simple (cloud computing) example, specifically using some readily available weather data.

Introduction to Weather and Climate Datasets

A brief overview of the types of data we have available within the Met Office. These datasets are open source, you'll have the oppertunity download and explore this data through the example notebooks provided. This will give you the tools to explore weather and climate data yourself.

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We will assume you have some experience with programming langauges and ideally have a little bit of knowledge of python. There are a lot of excellent resources on the internet for learning python. This short series of tutorials condenses the most important parts for working specifically with enviromental datasets and provides an overview of tools to make this easier. For a more in depth understanding of python, exploring these exellent tutorials is recommended:

• Software Carpentry: https://swcarpentry.github.io/python-novice-inflammation/index.html
• DataCamp: https://www.datacamp.com/courses/intro-to-python-for-data-science

Python environment set up

Some of these tutorials require some python package management, we have done this through Conda. If you don't have Conda, install miniconda here. If you prefer other package management methods please feel free to use them. More information about package management for each session will be contained in the README of that folder.

Acknowledgements

Development of these tutorials was funded by the Joint Centre for Excellence in Environmental Intelligence.