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 Pierce et al, 2024. 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 Rutishauser et al. (2020), 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. All data in this collection is derived from a multipolarization version of the Helicopter Radar (HERA) system (Lindzey et al., 2017, 2022). Included in this dataset are the Level 2 time registered geophysical observables for the entire study, including specific lines mentioned in Pierce et al., (2024); ice thickness, partial bed reflectivity, surface reflectivity, bed and surface elevation derived both from incoherent processing (IR2HI2) and focused processing (IRFOC2; Peters et al., 2007); no multipolarization processing is included here. Also included is specularity content (IRSPC2; Schroeder et al., 2014, Young et al, 2016). 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. The following transects are included: DEV3/PER0a/X101a DEV3/PER0a/X105a DEV3/PER0a/X69a DEV3/PER0a/X72a DEV3/PER0a/X73a DEV3/PER0a/X73b DEV3/PER0a/X74a DEV3/PER0a/X75a DEV3/PER0a/X76a DEV3/PER0a/X77a DEV3/PER0a/X77b DEV3/PER0a/X78a DEV3/PER0a/X79a DEV3/PER0a/X80a DEV3/PER0a/X81a DEV3/PER0a/X81b DEV3/PER0a/X82a DEV3/PER0a/X85a DEV3/PER0a/X88a DEV3/PER0a/X89a DEV3/PER0a/X93a DEV3/PER0a/X97a DEV3/PER0a/Y68a DEV3/PER0a/Y69a DEV3/PER0a/Y71a DEV3/PER0a/Y72a DEV3/PER0a/Y79a DEV3/PER0a/Y80a DEV3/PER0a/Y81a DEV3/PER0a/Y82a DEV3/PER0a/Y83a DEV3/PER0a/Y84a DEV3/PER0a/Y85a DEV3/PER0a/Y86a DEV3/PER0a/Y87a DEV/PER0a/X68a DEV/PER0a/X69b DEV/PER0a/X70a DEV/PER0a/X75b DEV/PER0a/Y66a DEV/PER0a/Y80a DEV/PER0a/Y88a ESH1/PER0a/F02T01a ESH1/PER0a/F02T02a ESH1/PER0a/F02T03a ESH1/PER0a/F02T04a ESH1/PER0a/F02T05a ESH1/PER0a/F02T06a ESH1/PER0a/F02T07a ESH1/PER0a/F02T08a ESH1/PER0a/F02T09a ESH1/PER0a/F02T10a ESH1/PER0a/F02T11a ESH1/PER0a/F02T12a ESH1/PER0a/F02T13a ESH1/PER0a/F02T14a ESH1/PER0a/F02T15a ESH1/PER0a/F02T16a ESH1/PER0a/F02T17a ESH1/PER0a/F02T18a ESH1/PER0a/F02T19a ESH1/PER0a/F02T20a ESH1/PER0a/F02T21a ESH1/PER0a/F02T22a ESH1/PER0a/F02T23a ESH1/PER0a/F02T24a ESH1/PER0a/F02T25a ESH1/PER0a/F02T26a ESH1/PER0a/F02T27a ESH1/PER0a/F04T01a ESH1/PER0a/F04T02a ESH1/PER0a/F04T03a ESH1/PER0a/F04T04a ESH1/PER0a/F05a ESH1/PER0a/F05T01a ESH1/PER0a/F05T02a ESH1/PER0a/F05T03a ESH1/PER0a/F05T04a ESH1/PER0a/F05T05a ESH1/PER0a/F05T06a ESH1/PER0a/F05T07a ESH1/PER0a/F05T08a ESH1/PER0a/F05T09a ESH1/PER0a/F05T10a ESH1/PER0a/F05T11a ESH1/PER0a/F05T12a ESH1/PER0a/F05T13a ESH1/PER0a/F05T14a ESH1/PER0a/F05T15a ESH1/PER0a/F05T16a ESH1/PER0a/F05T17a ESH1/PER0a/F05T18a ESH1/PER0a/F05T19a ESH1/PER0a/F05T20a ESH1/PER0a/F05T21a ESH1/PER0a/F05T22a ESH1/PER0a/F05T23a ESH1/PER0a/F05T24a ESH1/PER0a/F05T25a ESH1/PER0a/F05T26a ESH1/PER0a/F05T27a ESH1/PER0a/F05T28a ESH1/PER0a/F05T29a ESH1/PER0a/F05T30a ESH1/PER0a/F05T31a ESH1/PER0a/F05T32a ESH1/PER0a/F05T33a ESH1/PER0a/F05T34a ESH1/PER0a/F05T35a ESH1/PER0a/F05T36a ESH1/PER0a/F05T37a ESH1/PER0a/F05T38a ESH1/PER0a/F05T39a ESH1/PER0a/F05T40a ESH1/PER0a/F06T01a ESH1/PER0a/F06T02a ESH1/PER0a/F06T03a ESH1/PER0a/F06T04a ESH1/PER0a/F06T05a ESH1/PER0a/F06T06a ESH1/PER0a/F06T07a ESH1/PER0a/F06T08a ESH1/PER0a/F06T09a ESH1/PER0a/F06T10a NDEVON/PER0a/Y5b SVG2/PER0a/Y167a SVG2/PER0a/Y169a SVG2/PER0a/Y174a SVG2/PER0a/Y179a SVG/PER0a/Flow01a SVG/PER0a/Flow02a SVG/PER0a/Flow03a SVG/PER0a/Flow04a SVG/PER0a/Y72a SVG/PER0a/Y73a SVG/PER0a/Y74a SVG/PER0a/Y75a SVG/PER0a/Y76a SVG/PER0a/Y77a SVG/PER0a/Y78a SVG/PER0a/Y79a SVG/PER0a/Y80a SVG/PER0a/Y81a SVG/PER0a/Y82a SVG/PER0a/Y83a SVG/PER0a/Y84a SVG/PER0a/Y85a SVG/PER0a/Y86a SVG/PER0a/Y87a SVG/PER0a/Y88a References: Pierce, C., 2024, Advanced Analysis of the Sub-Glacial Environment Using Radar Echo Sounding Simulations, Ph. D. Thesis, Montana State University 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, 10.5194/tc-18-1495-2024 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, 10.1017/jog.2024.49 Lindzey, L., Quartini, E., Buhl, D., Blankenship, D., Richter
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".