The Heliospheric Disturbance Propagation Model & Tool (HDPmt) is a simple geometrical model to describe the propagation and longitudinal extension of a disturbance in the heliosphere and a lightweight tool that can be used to visualize the model results and perform case studies.

The Science Discovery Engine enables discovery and access to NASA’s open science data and information. This repository contains resources developed for the SDE that may be of value to the wider scientific data stewardship community.

Remove cloud shadows from ground-based observations

End-to-end demonstration of an autoencoder compression algorithm for plasma ion data from the MMS/FPI space instrument. Accompanies the publications da Silva et al., Frontiers in Astronomy and Space Sciences (2023) and da Silva et al., NeurIPS (2022)

Python Computer Vision project utilising OpenCV2 to detect sunspots (dark regions on the solar disk) from a solar image.

NASA Space Apps Challenge 2022 | Calling All Radio Enthusiasts!

Space Weather Monitor Application (SWMA) is an open-source application made for visualizing real-time space weather related data.

Examples from the fifth PUNCH Science Meeting.

Repository containing codes and scripts to reproduce the sunRunner3D manuscript

Python package for AMDA

An interactive timeline for GOES X-Ray data

This code accompanies the paper "Ensemble Forecasts of Solar Wind Connectivity to 1 Rs using ADAPT-WSA", to be published in the AGU Journal Space Weather in 2023

Classic time-elongation fitting for heliospheric imager data

AE-8/AP-8 Van Allen belt model in modern Fortran

Sonification of SOHO observations

Data loader (and downloader) for Solar Orbiter/EPD energetic charged particle sensors EPT, HET, and STEP. Supports level 2 and low latency data provided by ESA's Solar Orbiter Archive.

package for the sdoml dataset

Repository for my Bachelor's Thesis, developed at the Heliophysics Science Division of NASA Goddard Space Flight Center under the supervision of Dr. Teresa Nieves-Chinchilla.

Verifying the predictions of solar coronal mass ejections (CMEs) with multipoint in situ data, and deriving statistics of CME parameters for the 4 terrestrial planets and Parker Solar Probe.