Modeling Dry-Snow Densification without Abrupt Transition
An empirical model for the densification of dry snow has been calibrated using strain-rate data from Pine Island Glacier basin, Antarctica. The model provides for a smooth transition between Stage 1 and Stage 2 densification, and leads to an analytical expression for density as a function of depth....
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ftdoajarticles:oai:doaj.org/article:f84ece3c8cb54d20b4b9a9677a9e6416 2023-05-15T13:58:38+02:00 Modeling Dry-Snow Densification without Abrupt Transition Elizabeth Morris 2018-12-01T00:00:00Z https://doi.org/10.3390/geosciences8120464 https://doaj.org/article/f84ece3c8cb54d20b4b9a9677a9e6416 EN eng MDPI AG https://www.mdpi.com/2076-3263/8/12/464 https://doaj.org/toc/2076-3263 2076-3263 doi:10.3390/geosciences8120464 https://doaj.org/article/f84ece3c8cb54d20b4b9a9677a9e6416 Geosciences, Vol 8, Iss 12, p 464 (2018) snow models densification Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.3390/geosciences8120464 2022-12-31T12:51:32Z An empirical model for the densification of dry snow has been calibrated using strain-rate data from Pine Island Glacier basin, Antarctica. The model provides for a smooth transition between Stage 1 and Stage 2 densification, and leads to an analytical expression for density as a function of depth. It introduces two new parameters with a simple physical basis: transition density <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> and a scaling factor, M, which controls the extent of the transition zone. The standard (Herron and Langway) parameterization is used for strain rates away from the transition zone. Calibration, though tentative, produces best parameter values of <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> = 580 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> <mn>3</mn> </mrow> </msup> </semantics> </math> and M = 7 for the region. Using these values, the transition model produces better simulations of snow profiles from Pine Island Glacier basin than the well-established Herron and Langway and Ligtenberg models, both of which postulate abrupt transition. Simulation of density profiles from other sites using M = 7 produces the best values of <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> = 550 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> <mn>3</mn> </mrow> </msup> </semantics> </math> for a high accumulation site and 530 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> ... Article in Journal/Newspaper Antarc* Antarctica Pine Island Pine Island Glacier Directory of Open Access Journals: DOAJ Articles Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) Langway ENVELOPE(-139.783,-139.783,-75.483,-75.483) Geosciences 8 12 464 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
snow models densification Geology QE1-996.5 |
spellingShingle |
snow models densification Geology QE1-996.5 Elizabeth Morris Modeling Dry-Snow Densification without Abrupt Transition |
topic_facet |
snow models densification Geology QE1-996.5 |
description |
An empirical model for the densification of dry snow has been calibrated using strain-rate data from Pine Island Glacier basin, Antarctica. The model provides for a smooth transition between Stage 1 and Stage 2 densification, and leads to an analytical expression for density as a function of depth. It introduces two new parameters with a simple physical basis: transition density <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> and a scaling factor, M, which controls the extent of the transition zone. The standard (Herron and Langway) parameterization is used for strain rates away from the transition zone. Calibration, though tentative, produces best parameter values of <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> = 580 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> <mn>3</mn> </mrow> </msup> </semantics> </math> and M = 7 for the region. Using these values, the transition model produces better simulations of snow profiles from Pine Island Glacier basin than the well-established Herron and Langway and Ligtenberg models, both of which postulate abrupt transition. Simulation of density profiles from other sites using M = 7 produces the best values of <math display="inline"> <semantics> <msub> <mi>ρ</mi> <mi>T</mi> </msub> </semantics> </math> = 550 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> <mn>3</mn> </mrow> </msup> </semantics> </math> for a high accumulation site and 530 kg m <math display="inline"> <semantics> <msup> <mrow></mrow> <mrow> <mo>−</mo> ... |
format |
Article in Journal/Newspaper |
author |
Elizabeth Morris |
author_facet |
Elizabeth Morris |
author_sort |
Elizabeth Morris |
title |
Modeling Dry-Snow Densification without Abrupt Transition |
title_short |
Modeling Dry-Snow Densification without Abrupt Transition |
title_full |
Modeling Dry-Snow Densification without Abrupt Transition |
title_fullStr |
Modeling Dry-Snow Densification without Abrupt Transition |
title_full_unstemmed |
Modeling Dry-Snow Densification without Abrupt Transition |
title_sort |
modeling dry-snow densification without abrupt transition |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/geosciences8120464 https://doaj.org/article/f84ece3c8cb54d20b4b9a9677a9e6416 |
long_lat |
ENVELOPE(-101.000,-101.000,-75.000,-75.000) ENVELOPE(-139.783,-139.783,-75.483,-75.483) |
geographic |
Pine Island Glacier Langway |
geographic_facet |
Pine Island Glacier Langway |
genre |
Antarc* Antarctica Pine Island Pine Island Glacier |
genre_facet |
Antarc* Antarctica Pine Island Pine Island Glacier |
op_source |
Geosciences, Vol 8, Iss 12, p 464 (2018) |
op_relation |
https://www.mdpi.com/2076-3263/8/12/464 https://doaj.org/toc/2076-3263 2076-3263 doi:10.3390/geosciences8120464 https://doaj.org/article/f84ece3c8cb54d20b4b9a9677a9e6416 |
op_doi |
https://doi.org/10.3390/geosciences8120464 |
container_title |
Geosciences |
container_volume |
8 |
container_issue |
12 |
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464 |
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1766266995545735168 |