URGENT: We will run out of 5-digit catalog numbers at 69999 not 99999, which is estimated to occur around 2026‑07‑20 (we're currently at 68765). At that point, newly cataloged objects will have 6-digit catalog numbers of 100000+ and GP data will not be available for them using the TLE format. CelesTrak developed new formats that removed this limitation (and finally fixed the Y2K problem) in May 2020 and immediately began providing GP data in those formats for software developers. The same limitations apply to the legacy fixed-field SATCAT. Follow @TSKelso on Bluesky for the latest updates, tutorials, and changes as we approach this transition. Spread the word! ‑ TS

How to Perform SupGP Queries

by Dr. T.S. Kelso
2022 Jun 19
Updated 2025 Jan 8

Background

Just like with standard GP queries, users may now use standard queries to extract data from the Supplemental GP (SupGP) data.

The Implementation

All SupGP queries on CelesTrak take the form:

where {QUERY} is:

Allowed formats are:

The FORMAT specification is optional, but defaults to TLE (to support legacy queries).

Examples:

Differences from Standard GP Queries

Unlike in the standard GP queries, it is possible to get multiple SupGP elements for a single object. That is because some objects have data produced by multiple sources (e.g., with the CPF data) or because there is data for multiple epochs.

In the CPF data, multiple observatories track objects and produce predictions for ILRS satellites. That data shows the CPF name with the 3-character prediction center in brackets as the OBJECT_NAME.

The ISS ephemeris, which spans two weeks, is broken into 6-hour segments to best represent changes due to drag or ISS maneuvers.

The Intelsat data includes weekly updates along with post-maneuver [PM] updates (if applicable), so there may be weekly/post-maneuver/weekly data for the same object.

It is important that users use the appropriate data when multiple epochs are available. SupGP data is fitted from the current epoch forward, as opposed to GP data where that is fit to past observations.