GNSS Meteorological Data from Co-Located Ground Receivers, Hourly Files

Hourly meteorological data files from instruments co-located with Global Navigation Satellite System (GNSS) receivers, provided by NASA's Crustal Dynamics Data Information System (CDDIS). The dataset contains one day of meteorological observations (temperature, pressure, humidity, etc.) per site in RINEX format from a global permanent network. Data includes information from multiple GNSS constellations such as GPS, GLONASS, Galileo, and Beidou.

Use Cases

• Modeling atmospheric delays for precise satellite positioning based on co-located meteorological data.
• Analyzing global temperature, pressure, and humidity trends based on the described meteorological parameters.
• Studying the relationship between GNSS signal propagation and local weather conditions based on the co-located receiver setup.
• Validating numerical weather prediction models using ground-based meteorological observations from the global network.

Strengths

• Data is sourced from NASA's authoritative CDDIS archive.
• Includes meteorological data from a global permanent network of ground-based receivers.
• Supports multiple GNSS constellations including GPS, GLONASS, Galileo, and Beidou.
• Data is structured in the standardized RINEX format.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the distribution of the permanent ground receiver network.

Provenance

Source

NASA Crustal Dynamics Data Information System (CDDIS)

Collection Method

Collected from a global permanent network of ground-based GNSS receivers with co-located meteorological instruments.

Time Range

Data collection includes archives since at least 2011 for newer GNSS constellations.

Freshness

Last updated 2026-03-13 01:44:57.863669; freshness should be verified.

Geography

Global coverage from the permanent ground-based receiver network.