Future Martian Colonists Will Need a New Relativistic Clock

We think of atomic clocks as the definitive timekeepers. They are famous for being accurate down to the picosecond. Unfortunately, they are still subject to general relativity, so if you put them on a different planet, they will track time. The science-journalism coverage adds useful context, while the strongest evidential footing still comes from the underlying data, papers or institutional documentation.

This matters because Earth science becomes stronger when local observations can be placed inside a broader physical pattern that spans time and geography. The planet operates as a coupled system in which atmospheric, oceanic, cryospheric and solid-Earth processes interact across timescales from days to millions of years. A measurement that captures one variable at one location and one moment has limited interpretive value until it is embedded in the longer series and wider spatial coverage that allow natural variability to be separated from forced change. Unfortunately, they are still subject to general relativity, so if you put them on a different planet, they will track time slightly faster or slower than on Earth, depending on. In Mars’ case, an atomic clock on its surface is sitting in a slightly shallower gravity well, meaning that time moves slightly faster there.

Slava Turyshev, a researcher at NASA’s Jet Propulsion Laboratory, proposes just such a framework in a new paper available in pre-print on arXiv. By anchoring the timekeeping on Mars within the IAU's Barycentric Celestial Reference System / Barycentric Coordinate Time (BCRS/TCB) formalism, which is standardized by the.

That is an absurd level of precision - to put it into perspective, that’s how long it takes light, the fastest thing in the universe, to travel 0.03 millimeters. Extrapolating that out to different areas around Mars shows the power of this new framework.

Spacecraft that are even farther out, such as in Areostationary Orbit, the slower orbital speeds and decreased gravity from the planet itself allows clocks onboard these. For example, the equatorial bulge around Mars’ middle introduces a periodic time signature of about 87 picoseconds for a low-altitude satellite crossing its path.

The broader interest lies in linking the observation to climatic, geophysical or environmental dynamics that extend well beyond the immediate event or location. Earth science is unusual in that its most important questions operate on timescales that no single research career can observe directly, making the archival record, whether in ice, sediment, rock or satellite data, as important as any new measurement. Results that can be embedded in that record, and that either confirm or challenge the patterns it reveals, carry disproportionate scientific weight.

Mars has a massive carbon dioxide cycle, where CO2 freezes in the winter and is deposited onto polar ice caps, and then is sublimated in the summer and ends up back in the. Turyshev, we don’t know enough about these seasonal shifts to accurately account for them in our timekeeping efforts, so, at least for now, a true sub-picosecond accurate timing.

Because this item comes through Universe Today as science journalism, it should be treated as contextual reporting rather than primary evidence. Good science reporting can identify why a result matters, connect it to the wider literature and make technical work readable, but the decisive evidence remains in the original paper, dataset, mission release or technical record. That distinction is especially important when a story is later repeated by aggregators, because repetition increases visibility, not evidential strength.

The next step is to place the result inside longer time series and to compare it with independent instruments and independent sites. Earth system observations gain most of their interpretive power from network density and temporal depth, not from any single measurement however precise. Model simulations that assimilate the new data will help clarify whether the observation fits comfortably within known natural variability or represents a shift that existing models do not reproduce.

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