Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Inverse estimation of snow accumulation along a radar transect on Nordenskiöldbreen, Svalbard
Univ Utrecht, Inst Marine & Atmospher Res Utrecht, Utrecht, Netherlands.;Norwegian Polar Res Inst, Fram Ctr, Tromso, Norway..
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..
Uppsala Univ, Dept Earth Sci, Uppsala, Sweden..
Visa övriga samt affilieringar
Ansvarig organisation
2014 (Engelska)Ingår i: Journal of Geophysical Research - Earth Surface, ISSN 2169-9003, E-ISSN 2169-9011, Vol. 119, nr 4, s. 816-835Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We present an inverse modeling approach to reconstruct annual accumulation patterns from ground-penetrating radar (GPR) data. A coupled surface energy balance-snow model simulates surface melt and the evolution of subsurface density, temperature, and water content. The inverse problem consists of iteratively calibrating accumulation, serving as input for the model, by finding a match between modeled and observed radar travel times. The inverse method is applied to a 16km GPR transect on Nordenskioldbreen, Svalbard, yielding annual accumulation patterns for 2007-2012. Accumulation patterns with a mean of 0.75meter water equivalent (mwe)a(-1)contain substantial spatial variability, with a mean annual standard deviation of 0.17mwea(-1), and show only partial consistency from year to year. In contrast to traditional methods, accounting for melt water percolation, refreezing, and runoff facilitates accurate accumulation reconstruction in areas with substantial melt. Additionally, accounting for horizontal density variability along the transect is shown to reduce spatial variability in reconstructed accumulation, whereas incorporating irreducible water storage lowers accumulation estimates. Correlating accumulation to terrain characteristics in the dominant wind direction indicates a strong preference of snow deposition on leeward slopes, whereas weaker correlations are found with terrain curvature. Sensitivity experiments reveal a nonlinear response of the mass balance to accumulation changes. The related negative impact of small-scale accumulation variability on the mean net mass balance is quantified, yielding a negligible impact in the accumulation zone and a negative impact of -0.09mwea(-1)in the ablation area.

Ort, förlag, år, upplaga, sidor
2014. Vol. 119, nr 4, s. 816-835
Nyckelord [en]
accumulation, variability, inverse, modeling, GPR, Svalbard
Identifikatorer
URN: urn:nbn:se:polar:diva-2417DOI: 10.1002/2013JF003040ISI: 000336487100008OAI: oai:DiVA.org:polar-2417DiVA, id: diva2:884067
Tillgänglig från: 2015-12-17 Skapad: 2015-10-07 Senast uppdaterad: 2017-12-01

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext
I samma tidskrift
Journal of Geophysical Research - Earth Surface

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 65 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf