ESCHER ice thickness, echo strength and specularity content data for the Exploration of Saline Cryospheric Habitats with Europa Relevance project
Bibliographic record
Abstract
ESCHER (Exploration of Saline Cryospheric Habitats with Europa Relevance) is a NASA funded PSTAR (Planetary Science and Technology from Analog Research) program with the general geophysical goals of characterizing the subglacial environment of Devon Ice Cap in Nunavut, Canada as a potential planetary analog. The project seeks to gather additional evidence to infer properties of the chemistry of the subglacial hydrological system and to further the technical development of the scientific instrumentation. ESCHER represents the first field deployment of a multi-polarization radar system on an A-Star 350 B2 helicopter platform. This is the sixth polar deployment of this helicopter geophysical system, and the first in the Arctic. The previous helicopter-based systems expeditions were KRT1, KRT2, ASE2, ASE3, ASE4. Similar results for ASE3 are described in <a href="https://doi.org/10.5194/tc-18-1495-2024">Pierce et al, 2024</a>. <p> <p> The science goals include characterizing the subglacial environment from the summit of Devon Ice Cap to Sverdrup Glacier’s marine termination. The study area includes three linked geographical regions: i) The summit area as described in <a href="https://doi.org/10.5194/tc-16-379-2022">Rutishauser et al. (2020)</a>, ii) the shoulder region of the ice cap, just upstream of the ice flow that enters the outlet valleys feeding the upper reaches of the Sverdrup Glacier, and iii) the Sverdrup valley glacier, tidewater terminus, and locations of subglacial discharge. The study region also includes the upper catchment of the Croker Bay Glaciers and some of the western land terminating flanks of the ice cap. <p> All data in this collection is derived from a multipolarization version of the Helicopter Radar (HERA) system (<a href="http://dx.doi.org/10.26153/tsw/11620">Lindzey et al., 2017</a>, <a href="https://doi.org/10.5194/tc-14-2217-2020">2022</a>). Included in this dataset are the Level 2 time registered geophysical observables for the entire study, including specific lines mentioned in <a href="https://doi.org/10.1017/jog.2024.49">Pierce et al., (2024)</a>; ice thickness, partial bed reflectivity, surface reflectivity, bed and surface elevation derived both from incoherent processing (IR2HI2) and focused processing (IRFOC2; <a href="https://doi.org/10.1109/TGRS.2007.897416">Peters et al., 2007</a>); no multipolarization processing is included here. Also included is specularity content (IRSPC2; <a href="https://doi.org/10.1109/LGRS.2014.2337878">Schroeder et al., 2014</a>, <a href="https://doi.org/10.1098/rsta.2014.0297">Young et al, 2016</a>). <p> Data consists of ASCII tab delimited tables, with header describing the columns and key metadata on a per transect basis. Images showing simple maps of values are also included. <p> The following transects are included: <ul> <li> DEV3/PER0a/X101a </li> <li> DEV3/PER0a/X105a </li> <li> DEV3/PER0a/X69a </li> <li> DEV3/PER0a/X72a </li> <li> DEV3/PER0a/X73a </li> <li> DEV3/PER0a/X73b </li> <li> DEV3/PER0a/X74a </li> <li> DEV3/PER0a/X75a </li> <li> DEV3/PER0a/X76a </li> <li> DEV3/PER0a/X77a </li> <li> DEV3/PER0a/X77b </li> <li> DEV3/PER0a/X78a </li> <li> DEV3/PER0a/X79a </li> <li> DEV3/PER0a/X80a </li> <li> DEV3/PER0a/X81a </li> <li> DEV3/PER0a/X81b </li> <li> DEV3/PER0a/X82a </li> <li> DEV3/PER0a/X85a </li> <li> DEV3/PER0a/X88a </li> <li> DEV3/PER0a/X89a </li> <li> DEV3/PER0a/X93a </li> <li> DEV3/PER0a/X97a </li> <li> DEV3/PER0a/Y68a </li> <li> DEV3/PER0a/Y69a </li> <li> DEV3/PER0a/Y71a </li> <li> DEV3/PER0a/Y72a </li> <li> DEV3/PER0a/Y79a </li> <li> DEV3/PER0a/Y80a </li> <li> DEV3/PER0a/Y81a </li> <li> DEV3/PER0a/Y82a </li> <li> DEV3/PER0a/Y83a </li> <li> DEV3/PER0a/Y84a </li> <li> DEV3/PER0a/Y85a </li> <li> DEV3/PER0a/Y86a </li> <li> DEV3/PER0a/Y87a </li> <li> DEV/PER0a/X68a </li> <li> DEV/PER0a/X69b </li> <li> DEV/PER0a/X70a </li> <li> DEV/PER0a/X75b </li> <li> DEV/PER0a/Y66a </li> <li> DEV/PER0a/Y80a </li> <li> DEV/PER0a/Y88a </li> <li> ESH1/PER0a/F02T01a </li> <li> ESH1/PER0a/F02T02a </li> <li> ESH1/PER0a/F02T03a </li> <li> ESH1/PER0a/F02T04a </li> <li> ESH1/PER0a/F02T05a </li> <li> ESH1/PER0a/F02T06a </li> <li> ESH1/PER0a/F02T07a </li> <li> ESH1/PER0a/F02T08a </li> <li> ESH1/PER0a/F02T09a </li> <li> ESH1/PER0a/F02T10a </li> <li> ESH1/PER0a/F02T11a </li> <li> ESH1/PER0a/F02T12a </li> <li> ESH1/PER0a/F02T13a </li> <li> ESH1/PER0a/F02T14a </li> <li> ESH1/PER0a/F02T15a </li> <li> ESH1/PER0a/F02T16a </li> <li> ESH1/PER0a/F02T17a </li> <li> ESH1/PER0a/F02T18a </li> <li> ESH1/PER0a/F02T19a </li> <li> ESH1/PER0a/F02T20a </li> <li> ESH1/PER0a/F02T21a </li> <li> ESH1/PER0a/F02T22a </li> <li> ESH1/PER0a/F02T23a </li> <li> ESH1/PER0a/F02T24a </li> <li> ESH1/PER0a/F02T25a </li> <li> ESH1/PER0a/F02T26a </li> <li> ESH1/PER0a/F02T27a </li> <li> ESH1/PER0a/F04T01a </li> <li> ESH1/PER0a/F04T02a </li> <li> ESH1/PER0a/F04T03a </li> <li> ESH1/PER0a/F04T04a </li> <li> ESH1/PER0a/F05a </li> <li> ESH1/PER0a/F05T01a </li> <li> ESH1/PER0a/F05T02a </li> <li> ESH1/PER0a/F05T03a </li> <li> ESH1/PER0a/F05T04a </li> <li> ESH1/PER0a/F05T05a </li> <li> ESH1/PER0a/F05T06a </li> <li> ESH1/PER0a/F05T07a </li> <li> ESH1/PER0a/F05T08a </li> <li> ESH1/PER0a/F05T09a </li> <li> ESH1/PER0a/F05T10a </li> <li> ESH1/PER0a/F05T11a </li> <li> ESH1/PER0a/F05T12a </li> <li> ESH1/PER0a/F05T13a </li> <li> ESH1/PER0a/F05T14a </li> <li> ESH1/PER0a/F05T15a </li> <li> ESH1/PER0a/F05T16a </li> <li> ESH1/PER0a/F05T17a </li> <li> ESH1/PER0a/F05T18a </li> <li> ESH1/PER0a/F05T19a </li> <li> ESH1/PER0a/F05T20a </li> <li> ESH1/PER0a/F05T21a </li> <li> ESH1/PER0a/F05T22a </li> <li> ESH1/PER0a/F05T23a </li> <li> ESH1/PER0a/F05T24a </li> <li> ESH1/PER0a/F05T25a </li> <li> ESH1/PER0a/F05T26a </li> <li> ESH1/PER0a/F05T27a </li> <li> ESH1/PER0a/F05T28a </li> <li> ESH1/PER0a/F05T29a </li> <li> ESH1/PER0a/F05T30a </li> <li> ESH1/PER0a/F05T31a </li> <li> ESH1/PER0a/F05T32a </li> <li> ESH1/PER0a/F05T33a </li> <li> ESH1/PER0a/F05T34a </li> <li> ESH1/PER0a/F05T35a </li> <li> ESH1/PER0a/F05T36a </li> <li> ESH1/PER0a/F05T37a </li> <li> ESH1/PER0a/F05T38a </li> <li> ESH1/PER0a/F05T39a </li> <li> ESH1/PER0a/F05T40a </li> <li> ESH1/PER0a/F06T01a </li> <li> ESH1/PER0a/F06T02a </li> <li> ESH1/PER0a/F06T03a </li> <li> ESH1/PER0a/F06T04a </li> <li> ESH1/PER0a/F06T05a </li> <li> ESH1/PER0a/F06T06a </li> <li> ESH1/PER0a/F06T07a </li> <li> ESH1/PER0a/F06T08a </li> <li> ESH1/PER0a/F06T09a </li> <li> ESH1/PER0a/F06T10a </li> <li> NDEVON/PER0a/Y5b </li> <li> SVG2/PER0a/Y167a </li> <li> SVG2/PER0a/Y169a </li> <li> SVG2/PER0a/Y174a </li> <li> SVG2/PER0a/Y179a </li> <li> SVG/PER0a/Flow01a </li> <li> SVG/PER0a/Flow02a </li> <li> SVG/PER0a/Flow03a </li> <li> SVG/PER0a/Flow04a </li> <li> SVG/PER0a/Y72a </li> <li> SVG/PER0a/Y73a </li> <li> SVG/PER0a/Y74a </li> <li> SVG/PER0a/Y75a </li> <li> SVG/PER0a/Y76a </li> <li> SVG/PER0a/Y77a </li> <li> SVG/PER0a/Y78a </li> <li> SVG/PER0a/Y79a </li> <li> SVG/PER0a/Y80a </li> <li> SVG/PER0a/Y81a </li> <li> SVG/PER0a/Y82a </li> <li> SVG/PER0a/Y83a </li> <li> SVG/PER0a/Y84a </li> <li> SVG/PER0a/Y85a </li> <li> SVG/PER0a/Y86a </li> <li> SVG/PER0a/Y87a </li> <li> SVG/PER0a/Y88a </li> </ul> <p> References: <ul> <li>Pierce, C., 2024, Advanced Analysis of the Sub-Glacial Environment Using Radar Echo Sounding Simulations, Ph. D. Thesis, Montana State University</li> <li>Pierce, C., Gerekos, C., Skidmore, M., Beem, L., Blankenship, D., Lee, W. S., Adams, E., Lee, C.-K., and Stutz, J., 2024, Characterizing sub-glacial hydrology using radar simulations, The Cryosphere, 18, 4, 1495--1515, <a href="https://doi.org/10.5194/tc-18-1495-2024">10.5194/tc-18-1495-2024</a></li> <li>Pierce, C., Skidmore, M., Beem, L., Blankenship, D., Adams, E., and Gerekos, C., 2024, Exploring canyons beneath Devon Ice Cap for sub-glacial drainage using radar and thermodynamic modeling, Journal Of Glaciology, 1--18, <a href="https://doi.org/10.1017/jog.2024.49">10.1017/jog.2024.49</a></li> <li>Lindzey, L., Quartini, E., Buhl, D., Blankenship, D., Richter
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".