Curiosity Blog, Sols 5029-5035: Back in the Lab

Written by Michelle Minitti, MAHLI Deputy Principal Investigator Earth planning date: Friday, Oct. 1, 2026 The majority of Curiosity plans involve mosaics from Mastcam and ChemCam, chemistry analyses from ChemCam and APXS, images from. The institutional report frames the development in practical terms and ties it to the broader mission or observing effort.

That 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. 1, 2026 The majority of Curiosity plans involve mosaics from Mastcam and ChemCam, chemistry analyses from ChemCam and APXS, images from MAHLI and MARDI, and systematic. Its color and improved resolution relative to Navcam also guided subsequent science requests, such as more focused Mastcam imaging of structures near the workspace, and ChemCam.

Visit the Science Instruments page NASA’s Curiosity rover at the base of Mount Sharp NASA/JPL-Caltech/MSSS Share Details Last Updated Oct 05, 2026 Related Terms Blogs Explore More. Article 51 minutes ago 3 min read Curiosity Blog, Sols 5022-5028: Cashing in at Cache Creek Article 1 day ago 3 min read Curiosity Blog, Sols 5016, 5021: Fantastic Minerals and.

NASA’s Mars rover Curiosity acquired this image using its Left Navigation Camera (Navcam) on Sept. 24, 2026, Sol 5024, or Martian day 5, 024 of the Mars Science Laboratory mission, at 05: 46: 29 UTC.

NASA/JPL-Caltech Written by Michelle Minitti, MAHLI Deputy Principal Investigator The majority of Curiosity plans involve mosaics from Mastcam and ChemCam, chemistry analyses from. It is only when we stop to drill that we fully live up to our Mars Science Laboratory designation, using CheMin and SAM to analyze Martian rock.

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.

This was one such week, where our focus was wrapping up CheMin analysis of a sample from the “Basque Lakes” drill hole (pictured above), preparing SAM for its analysis, and. The CheMin data were key to SAM deciding to analyze the sample at all, and SAM will wait to receive the results from the TLS run (measurement of the volatiles present) to decide.

Because the account originates with NASA News Releases, it functions best as a primary institutional report that is close to the data and operations, not as independent scientific validation. Institutional communications are produced by organizations with legitimate interests in presenting their work in a favorable light, which does not make them unreliable but does make them partial. Details that complicate the narrative, including instrument limitations, unexpected failures and results below projections, tend to be minimized relative to progress messages. Technical documentation and peer-reviewed publications, where they exist, provide the complementary layer that institutional releases cannot substitute.

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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