Jan 15

The Top 5 Sources of GNSS-RO Data

Global Navigation Satellite System Radio Occultation (GNSS-RO) has become one of the most valuable data sources for modern weather forecasting, climate monitoring, and space domain awareness. Its ability to deliver high-accuracy, all-weather, globally distributed atmospheric profiles makes it essential for numerical weather prediction (NWP) and increasingly for AI-driven forecasting systems.

As the ecosystem matures, both commercial providers and government missions play important roles in the global observing system. Below is a ranking of the five top sources of GNSS-RO data, both commercial and government.  

#1. PlanetiQ: The Gold Standard for GNSS-RO Data

Best for: Operational forecasting, defense, and high-resolution atmospheric modeling

PlanetiQ leads the field by combining global coverage, high precision, and unmatched data volume in a single system, delivering unmatched performance across every key metric:

Strengths

  • Pole-to-pole global coverage of both atmosphere and ionosphere
  • Highest vertical resolution in the industry 
  • Highest precision and signal-to-noise ratio (SNR) (1500+v/v)
  • Routine profiling down to the surface, including the lower troposphere and boundary layer
  • Over 7,000+ high-quality atmospheric profiles per day with continued growth planned
  • Multi-GNSS capability: GPS, GLONASS, Galileo, BeiDou
  • Total Electron Content (TEC) data rated “best-in-class” by NASA for space weather applications

Limitations

  • As a commercial provider, long-term data continuity can depend on government and customer funding cycles

Bottom line:
PlanetiQ is currently the most complete GNSS-RO data provider, delivering the best combination of coverage, resolution, precision, and scale for operational use.

 

#2. COSMIC-2: A Proven Government Benchmark

Best for: Research and equatorial observations

COSMIC-2 (FORMOSAT-7) has long been considered a benchmark mission for GNSS-RO data quality.

Strengths

  • High-quality, well-characterized atmospheric profiles
  • Deep integration into global weather models
  • Open and freely available data for the research community

Limitations

  • Primarily equatorial coverage, not truly global
  • The constellation is aging, with no confirmed follow-on mission

Bottom line:
COSMIC-2 remains an important reference dataset, but its limited coverage makes it insufficient on its own for global operations.

 

#3. Spire Global: Accessible Commercial Data at Scale

Best for: Data volume and commercial accessibility

Spire Global operates a large CubeSat constellation that provides GNSS-RO data to a wide range of customers.

Strengths

  • Produces >3,000 atmospheric profiles per day
  • Consistent and commercially available data stream
  • Broad adoption across weather and climate applications

Limitations

  • Lower signal-to-noise ratio compared to premium systems
  • Less penetration into the lowest atmospheric layers
  • Satellites designed with limited propulsion for station keeping leads to short lifespan

Bottom line:
Spire offers strong data availability and accessibility, but with tradeoffs in precision and vertical performance.

 

#4. MetOp: Europe’s Operational GNSS-RO Backbone

Best for: Operational meteorology and long-term climate records

The MetOp satellite series provides GNSS-RO data through the GRAS (GNSS Receiver for Atmospheric Sounding) instrument.

Strengths

  • True polar coverage, enabling strong high-latitude sampling
  • Long-term continuity for climate monitoring
  • Proven reliability and operational heritage
  • Publically available

Limitations

  • Lower data volume than newer commercial constellations (approximately 1000 profiles a day)
  • Less dense global sampling

Bottom line:
MetOp remains a trusted government system, particularly valuable for climate continuity and polar coverage.

The next-generation MetOp-SG (launched August 2025) with the GRAS-2 instrument is expected to significantly increase performance, with up to ~2,000 profiles per day per satellite once fully operational.

 

#5. Emerging Government Systems

Best for: Expanding global GNSS-RO capacity

Several newer government missions are beginning to contribute GNSS-RO data, often as secondary payloads. A notable example is KOMPSAT-5 from Korea.

Strengths

  • Expanding geographic diversity of GNSS-RO observations
  • Complementary coverage alongside established systems

Limitations

  • Limited data volume
  • Less mature processing and distribution pipelines
  • Data is typically not publicly available

Bottom line:
These systems play a supporting role, helping to fill gaps but not yet operating at the scale or accessibility of leading providers.