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SAVE THE EARTH FROM ANOTHER CARRINGTON EVENT!

Seek Solutions

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Introduction

Seek Solutions aims to develop a tool which will enable mankind to predict and mitigate a once experienced geomagnetic storm – The Carrington Event – which would completely disrupt our way of life today

NASA: International Space Apps Challenge 2022

Seek Solution | © 2022

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Challenge Outline

Challenge

Value Proposition

Objective

Geomagnetic storms are a scary and harsh reality, often affecting space missions and even our own lives on earth and its our responsibility to try and avoid or at least mitigate the affects of these unavoidable events

Faraday Cup peak solar wind data

ML model

Report & visualize

  • Predict future geomagnetic storms that can assist in implementing contingency plans to help prevent future disastrous events like the Carrington event from 1859.

  • Develop a refreshed pipeline which can eliminate the time-consuming and laborious efforts of scientists to derive the indicative solar wind speeds, temperatures and densities.
  • Automation of the prediction process
  • Enhanced elimination of interfering data
  • Carrington Event prediction
  • Novel neural network pipeline development

- Train

- Test

- Stream

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Background

The Faraday Cup has long experienced grounding faults along DSCOVR and Wind and possibly other issues that introduce noise, transients, harmonics, and other ugliness into the signal – but why does this matter?

NASA: International Space Apps Challenge 2022

Image Source https://www.nasa.gov/mission_pages/sunearth/news/storms-on-sun.html, image credit : NASA:

Seek Solution | © 2022

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Geomagnetic Storms

1859 Carrington Event

A geomagnetic storm is a disturbance in the Earth's magnetosphere. It is caused by a solar wind shock wave or cloud of the magnetic field that interacts with the Earth's magnetic field. They are rated on a scale of 1 to 5, with 1 being the weakest and 5 being the strongest.

The largest geomagnetic storms are linked to Coronal Mass Ejections (CMEs) and the geomagnetic storm of 1859, also called the Carrington storm, was the largest geomagnetic storm ever recorded. It was marked by an intense brightening of auroras and reports of telegraph systems malfunctioning, electrocuting operators.

In today's day and age, such a storm could bring more devastation to earth, due to mankind's dependence on devices and systems that are often connected in one massive 'grid'.

A minor geomagnetic storm on the 3rd of February 2022 caused Elon Musk's Starlink to lose dozens of satellites only a day after they were launched.

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Solution Approach

The solution development approach we used was one ubiquitous to data scientists and machine learning practitioners, leveraging statistical reasoning and dynamic time warping to predict solar wind densities, velocities and temperatures

NASA: International Space Apps Challenge 2022

Image sources: https://scikit-learn.org/stable/modules/outlier_detection.html, , https://towardsdatascience.com/dynamic-time-warping-3933f25fcdd

Seek Solution | © 2022

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Our solution development approach

Step 1: Data Extraction

Step 2: Data Preprocessing

Step 3: Dynamic Time Warping

Step 4: Model Training

The first step was to extract NASA’s datasets from CDF files into readable data frames which enabled data preprocessing, characteristic management and visualization

Data preprocessing identifies any outliers, or corrupted and interfered data and cleans up the data frames in order to ensure all GiGo effects are mitigated.

In order to align the same particles of measurement from both DSCOVR and Wind, dynamic time warping methods are employed.

The machine learning model makes use of a training, a validation and a testing set in order to appropriately evaluate the performance of the model, often over various folds.

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Solution Design

The neural network pipeline will consist of a convolutional long-short term memory cell feed forward neural network. This model aims to predict the solar wind ion density, thermal speed, and velocity vector 

NASA: International Space Apps Challenge 2022

Seek Solution | © 2022

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Fusion Temporal Model

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Next Steps

Our ambition is to develop a process pipeline which will be able mitigate the slow manual manifold pipeline currently in place in order to derive the solar wind ion density, thermal speed, and velocity vectors

NASA: International Space Apps Challenge 2022

Image sources: https://earthweb.ess.washington.edu/space/SpaceExp/WIND/, Simultaneous-95-confidence-and-prediction-intervals-The-outer-inner-region_fig2_47675514

Seek Solution | © 2022

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Our aspirations and next steps

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Immediate Focus Area

  • Evaluate model training results.

  • Validate machine learning model over additional time periods.

  • Express the confidence in the model as a distributed Gaussian function

Aspirational Next Steps

  • Synthesize a platform which enables additional mission and spacecraft data to further understand geomagnetic storms throughout our solar system and its effects on surrounding plants.

  • Utilize the model to disrupt the current manifold pipeline

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Seek Solutions | © 2022

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Our Experience

The world’s largest hackathon certainly challenged our own perception of teamwork, collaboration and unconventional problem solving. Although the mental stimulation was exhilarating, the friendships made along the way left the deepest mark on this experience. The community really adopted the “There is always room for one more” narrative!

The contributions made by teammates, other teams, subject matter experts and the Discord channel was unparalleled. It was so reassuring to know others were facing the same challenges as you and by working together solved it for not just us, but for the others doing the same challenge.

- “There is always room for one more

Solution Development

Local �& International Collaboration

Innovation

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Introduction

Seek Solutions aims to develop a tool which will enable mankind to predict and mitigate a once experienced geomagnetic storm – The Carrington Event – which would completely disrupt our way of life today

NASA: International Space Apps Challenge 2022

Seek Solution | © 2022

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Challenge Outline

Challenge

Value Proposition

Objective

Help measure the weather in space based on the DSCOVR data, eliminating background noise and strange data where possible, and predict future space weather.

For each spectrum, the objective is to derive the solar wind ion density, thermal speed, and velocity vector (n,w,v).

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Predict today's space weather

Faraday Cup peak solar wind data

ML model

Report & visualize

Predict future geomagnetic storms that can assist in implementing contingency plans to help prevent future disastrous events like the Carrington event from 1859.

  • Automation of the prediction process
  • Enhanced elimination of interfering data

- Train

- Test

- Stream

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Source Data

DSCOVR and ACE Satellites

NASA: International Space Apps Challenge 2022

Seek Solution | © 2022

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