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Heliophysics Digital Resources Library (HDRL) logo
HDRL is the force multiplier powering heliophysics for
science, security, and innovation today and into the future.

🚀 A Unified Hub for the Sun–Earth System

The Heliophysics Digital Resource Library (HDRL) brings together NASA's solar and space physics data into a cohesive, interoperable system. Built on decades of research and designed for tomorrow’s missions, HDRL enables efficient access, analysis, and reuse of critical datasets. It supports space weather forecasting, long-term science, and public transparency. Whether you're protecting astronauts, powering AI models, or forecasting threats to space-based and ground-based assets, HDRL makes it possible. HDRL is a key part of the engine behind the HelioSystems Laboratory.


HDRL supports the infrastructure behind space weather resilience-helping secure U.S. satellites, crewed exploration, GPS, and communication systems. It plays a vital role in keeping critical technology running during solar storms and contributes to operational space-based defense systems through real-time solar intelligence.

🔍 Explore Our Core Components

Three key components and a suite of integrated tools comprise HDRL, supporting discovery, forecasting, modeling, and innovation. It provides seamless access to NASA’s entire heliophysics archive. HDRL delivers scalable, efficient digital infrastructure that supports America’s leadership in deep exploration, defense readiness, and the technology-driven economy.

Solar Data Analysis Center (SDAC)

The SDAC supports the analysis of solar physics data. The SDAC stores and provides data from NASA’s solar physics missions. SDAC supports visualization tools (including Helioviewer), the SolarSoft software library used for data analysis, and the Virtual Solar Observatory (VSO) discovery service to search and download solar physics.

Space Physics Data Facility (SPDF)

The SPDF is NASA’s archive for non-solar heliophysics data from heliophysics missions. These data are retrieved from in situ measurements of plasma, energetic particles, magnetic and electric fields, radio and plasma waves. SPDF maintains the CDAWeb data explorer and plotting system, the SSCWeb database of spacecraft trajectories with 4D orbit viewer capabilities, the OMNIWeb database, and the Common Data Format (CDF) data format and associated software.

Heliophysics Data & Model Consortium (HDMC)

HDMC supports the development of software and services to help promote greater synergy between SDAC, SPDF and the larger heliophysics community. It serves as a catalyst for carrying out HDRL’s mission to yield the greatest value of research from NASA’s heliophysics missions. HDMC supports initiatives in open science and community outreach including support for collaborators such as PyHC, SPEDAS, Autoplot, and HelioCloud.

⚙️ Heliophysics Data Portal (HDP)

The Heliophysics Data Portal provides open access to NASA’s collection of heliophysics science data, empowering researchers and decision makers to better understand the Sun-Earth system and protect our technological society.

Featured Tools

These tools are powered by or contribute to HDRL's mission, enabling advanced research and applications.

Helioviewer is a web-based data visualization tool supported by NASA's Solar Data Analysis Center. It's like using a map app on the Sun!

🛰 4D Orbit Viewer

This interactive 4D Orbit Viewer supported by SPDF showcases the locations and orbits of over 100 spacecraft and planets as 3-D animations, with time added as a 4th dimension.

HelioCloud is a time-saving, cloud-based tool for heliophysics researchers to rapidly access and analyze high-volume datasets from a web browser.

SolarSoft is an analysis and processing environment for solar physics data primarily in the IDL programming language. SunPy is a community-developed, free and open-source solar data analysis environment for Python.

Space Physics Environment Data Analysis Software (SPEDAS) is a publicly shared analysis library for space physics data written in the IDL programming language. pySPEDAS is a Python version.

Python in Heliophysics Community promotes the use and development of sustainable Python software across solar and space physics, provides tutorials and resources, improves communication and collaboration between developers and users.



🌐 Who Relies on HDRL?

From national security to academic research, commercial space to public education-HDRL supports the systems, people, and missions that keep society connected and protected.

  • NOAA space weather forecasters
  • National security risk analysts
  • Mission scientists and engineers
  • Commercial satellite operators and launch providers
  • NASA, NSF, DOD, USGS, & DOE researchers
  • International collaborators
  • Universities and student researchers
  • AI model developers and data scientists
  • Citizen scientists and educators

📡 HDRL in Action

HDRL is where space weather data becomes actionable knowledge for science community and public. placeholder text to match height

  • Supporting space weather forecasting and alerts
  • Enhancing space mission planning
  • Driving next-gen scientific modeling for solar and space physics
  • Empowering AI/ML models for forecasting, mission safety, and anomaly detection
  • Advancing global scientific collaboration
  • Integrating datasets across missions and decades
  • Enabling the use, analysis, and cross-mission synthesis of data
  • Delivering FAIR-aligned access for reproducible science

🇺🇸 Digital Infrastructure to Power Exploration

The HDRL transforms NASA mission data into national resilience-powering forecasts, AI, and alerts that protect satellites, astronauts, and critical infrastructure.

🚀 Keeping Astronauts Safe in Deep Space

Space weather is a top natural risk for Moon to Mars missions. HDRL supports safety from launch to landing.

  • Powers real-time forecasting for Artemis and ISS operations
  • Connects solar activity to deep space radiation models
  • Informs go/no-go decisions and in-flight alerts
  • Supports crew safety systems with trusted solar data

⚙️ Driving Smarter Science Across Space

HDRL turns mission data into action-fueling AI models, forecasts, and discovery across NASA and beyond.

  • Enables cross-mission research and modeling
  • Makes decades of data FAIR and AI-ready
  • Supports NOAA, DoD, and FAA decision systems
  • Powers global collaboration through open tools and standards