Containerized Models to Predict Ionospheric Scintillations

Ensemble's innovative proposal targets ionospheric scintillation characterization, monitoring, and prediction. The technology, designed for North America, aims to deliver precise scintillation indices estimates for amplitude and phase. This proposed effort covers four key tasks: - Data Pipeline Creation: Establishing a robust pipeline to collect and process diverse data relevant to scintillation, ensuring a reliable dataset for ML model training. - Data Transformation and Cleaning: Ensuring temporal and spatial alignment of data sources, addressing gaps, and preparing the dataset for ML model training, including solutions for an imbalanced dataset. - ML Model Development and Validation: Using AWS SageMaker, Ensemble will develop two ML models— convolutional neural network (CNN), and Long Short Term Memory (LSTM). - Model Deployment and Alert System: Deploying the models via AWS SageMaker, generating predictions up to 4 hours into the future at 15-minute intervals. Implementing an alert system for stakeholders when scintillation is predicted. This effort will involve data collection, processing, model development, cloud computing resources, and deployment infrastructure. Target markets include aviation, telecommunications, agriculture, construction, and emergency services, benefiting industries reliant on precise GNSS communication and positioning. Ensemble's methodology bridges critical space weather research gaps, contributing to national security objectives outlined by the SWORM subcommittee. Beyond operational reliability, the proposal offers actionable alerts, improved safety, and enhanced understanding of ionospheric scintillation phenomena.
Benefits: Spacecraft Communication Enhancement: Improving GNSS communication reliability is crucial for spacecraft navigating through space. The technology ensures precise communication and positioning for space probes and satellites. Space Weather Monitoring: Enabling better understanding and prediction of ionospheric scintillations aids in monitoring space weather conditions. This information is vital for protecting spacecraft and ensuring optimal communication. Astronaut Safety: Enhancing communication systems on spacecraft contributes to astronaut safety. Accurate predictions of ionospheric scintillations help in planning and executing space missions with minimized risks. Navigation for Planetary Exploration: The technology can be adapted for planetary exploration missions, providing accurate navigation and communication capabilities for rovers and other exploration vehicles. Aviation Industry: Ensuring reliable communication and navigation for aircraft, especially during adverse space weather conditions, enhances aviation safety and efficiency. Telecommunications Sector: Improving GNSS communication reliability benefits the telecommunications industry, ensuring uninterrupted services for cellular networks and other communication systems. Precision Agriculture: Farmers rely on GPS technology for precision agriculture. Predicting and mitigating scintillations ensures accurate location-based data for optimal farming practices. Construction and Surveying: Precise GNSS communication is crucial in construction and surveying activities. The technology enhances accuracy in measurements and positioning. Emergency Services: Reliable communication is essential for emergency services. The technology ensures that GNSS-based communication systems work efficiently during critical situations. Maritime Navigation: Ship navigation heavily relies on GNSS systems. Improving scintillation predictions ensures safe and reliable maritime navigation. Scientific Research: Researchers studying space weather and ionospheric phenomena benefit from accurate predictions. The technology contributes to advancements in space science and atmospheric research. Government and Defense: Ensuring the reliability of communication and navigation systems is critical for national security. The technology can be applied in defense applications to enhance operational capabilities. Energy Sector: Power grids and pipelines often rely on communication systems that can be affected by space weather. The technology contributes to the reliability of these systems, preventing potential disruptions. Global Navigation Systems: Beyond NASA, the technology supports global navigation systems, benefiting industries and individuals worldwide by providing accurate and reliable location-based services.