Europa is a premier target for advancing both planetary science and astrobiology, as well as for opening a new window into the burgeoning field of comparative oceanography. The potentially habitable subsurface ocean of Europa may harbor life, and the globally young and comparatively thin ice shell of Europa may contain biosignatures that are readily accessible to a surface lander. Europa’s icy shell also offers the opportunity to study tectonics and geologic cycles across a range of mechanisms and compositions. Here we detail the goals and mission architecture of the Europa Lander mission concept, as developed from 2015 through 2020. The science was developed by the 2016 Europa Lander Science Definition Team (SDT), and the mission architecture was developed by the preproject engineering team, in close collaboration with the SDT. In 2017 and 2018, the mission concept passed its mission concept review and delta-mission concept review, respectively. Since that time, the preproject has been advancing the technologies, and developing the hardware and software, needed to retire risks associated with technology, science, cost, and schedule.
Ice penitentes are high-aspect-ratio structures formed by a modulated sublimation process on ice or snow fields. Needle-like or blade-like in appearance, they point toward the noontime sun and often form blades aligned with the sun's trajectory across the sky. On Earth, they are often observed at low latitude on high-altitude snow fields or glaciers, where formation conditions can be sustained for periods of weeks or more. These necessary formation conditions consist of low wind, low humidity, and direct solar flux without clouds (Betterton, 2001;Lliboutry, 1954;MacDonell et al., 2013). 2015) developed a physical model and dispersion relation for the formation of penitentes, which relies on an instability in the diffusion boundary layer as water vapor sublimating from the surface mixes with air. This is an interaction between light penetration into the snowpack, self-illumination, thermal diffusion within the snow, and mass diffusion away from the snow through the boundary layer. This instability modulates net sublimation and thereby sets the spacing of the penitentes. Without a dominant wavelength for the instability, the model predicts even sublimation of the entire surface. Claudin et al. (
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We applied two different techniques to identify high-density structures in global maps of height-integrated electron density of the Earth’s ionosphere. We discuss benefits and limitations of these approaches to structure identification. We suggest that they are complementary and can aid our understanding of the properties of the global ionosphere. We stress out importance of a consistent definition of large-scale ionospheric structures.
<p><strong>Introduction</strong>: Jupiter&#8217;s moon Europa is a prime target in our exploration of potentially habitable worlds beyond Earth, and of ocean worlds in the outer solar system. The exploration of Europa presents an important target for both astrobiology and comparative oceanography, i.e., the opportunity to study liquid water oceans as a planetary process. Europa&#8217;s icy shell also offers the opportunity to study tectonics and geologic cycles across a range of mechanisms (e.g., Earth&#8217;s cooling versus Europa&#8217;s tidal dissipation) and compositions (silicate in the case of the Earth, versus ice in the case of Europa). Europa is a scientifically important and strategic target for both planetary science and astrobiology.</p> <p>Critically, Europa&#8217;s subsurface ocean has likely existed for much of the history of the solar system, potentially providing a persistent, stable environment in which a second, independent origin of life may have arisen. Observations and models indicate that the ocean is likely in contact with a rocky, silicate seafloor, and the ice shell may have tectonic activity that could allow reductant-oxidant cycling. This scenario could lead to an ocean rich in the elements and energy needed for the emergence of life, and for potentially sustaining life through time. The persistence of Europa&#8217;s ocean means that life could be alive there today &#8211; i.e., signs of extant life could be found within the ice and ocean of Europa. The discovery of signs of extant life is critical if we are to understand biology as a universal process: Does it contain DNA or does it function on some other large biomolecules for information storage, replication, and repair? Are there many separate &#8216;trees of life&#8217; within our solar system, or is the tree of life on Earth the only one? The search for past life on worlds like Mars is very important, but the search for extant life is how we will truly revolutionize biology (if life exists beyond Earth).</p> <p><img src="data:image/png;base64, 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