2015
DOI: 10.5038/1827-806x.44.2.2
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Comparing flow-through and static ice cave models for Shoshone Ice Cave

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Cited by 9 publications
(7 citation statements)
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“…Cave geometry also determines how surface conditions will influence the cave environment (de Freitas & Littlejohn, 1987 ; Tuttle & Stevenson, 1978 ; Williams & McKay, 2015 ; Williams et al., 2017 ). Acquiring a data set with adequate statistical power to model how temperature and humidity varies by structure will enable a robotic platform to both identify the most stable and buffered locations within a cave (Q11), which, in most cases, will represent the regions of optimal habitability and thus the best locations to sample for evidence of life (Q12).…”
Section: Resultsmentioning
confidence: 99%
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“…Cave geometry also determines how surface conditions will influence the cave environment (de Freitas & Littlejohn, 1987 ; Tuttle & Stevenson, 1978 ; Williams & McKay, 2015 ; Williams et al., 2017 ). Acquiring a data set with adequate statistical power to model how temperature and humidity varies by structure will enable a robotic platform to both identify the most stable and buffered locations within a cave (Q11), which, in most cases, will represent the regions of optimal habitability and thus the best locations to sample for evidence of life (Q12).…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, Q10 highlights the importance of cave ice. Airflow, which is also influenced by cave geometry as well as surface temperature and barometric pressure shifts governs cave temperature and humidity regimes and water/water ice stability (Perșoiu & Onac, 2019 ; Williams & McKay, 2015 ; Williams et al., 2017 ).…”
Section: Resultsmentioning
confidence: 99%
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“…In the literature on ice caves formed within glaciers, conduit development results mainly from flowing water, either through moulins or along the glacier base (Gulley et al., 2009). While air flow in ice caves and resulting ice melt has been investigated through the lens of “cold‐air traps” or the “chimney effect” (Bertozzi et al., 2019; Luetscher & Jeannin, 2004; Meyer et al., 2016; Williams & McKay, 2015), these processes do not adequately describe systems that are formed entirely within ice and solely from advective air flow driven by temperature and pressure gradients at the ice‐bedrock interface. Strictly speaking, this last category is glacio‐thermo karst and is amplified in regions with increased geothermal gradient and, therefore, high heat flux.…”
Section: Introductionmentioning
confidence: 99%
“…• examine microbial life of tellurian caves as Mars analogs (e.g., Boston, 2004;Boston et al, 2006;Léveillé & Datta, 2010;Röling et al, 2015;Selensky et al, 2021;Westall et al, 2015); • model environments of terrestrial and potential martian cave systems (e.g., Schörghofer et al, 2018;Titus et al, 2010;Williams & McKay, 2015;Williams et al, 2010); • improve cave detection capabilities (e.g., Cushing et al, 2015;Hong et al, 2015;Pisani & De Waele, 2021;Wynne et al, 2008Wynne et al, , 2021); • develop and expand upon life detection instrumentation and techniques (e.g., Patrick et al, 2012;Preston et al, 2014;Storrie-Lombardi et al, 2011;Uckert et al, 2020); • expand the number of cave explorer robotic platforms under development (Green & Oh, 2005;Kesner et al, 2007;Morad et al, 2019;Nesnas et al, 2012;Parness et al, 2017;Titus, Wynne, Boston, et al, 2021;Titus, Wynne, Malaska, et al, 2021); • advance robotic sensing and navigational capabilities (e.g., Agha-Mohammadi et al, 2021;Kalita et al, 2017;Kim et al, 2021;Thakker et al, 2021); and, • propose mission concepts (e.g., Kerber et al, 2019;Phillips-Lander et al, 2020;Whittaker et al, 2021;Ximenes et al, 2012) and strategies to optimize future planetary cave exploration efforts (e.g., Rummel et al, 2014;…”
mentioning
confidence: 99%