Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Improved snowmelt simulations with a canopy model forced with photo-derived direct beam canopy transmissivity
Vise andre og tillknytning
2012 (engelsk)Inngår i: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 48, nr 10, s. W10509-Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The predictive capacity of a physically based snow model to simulate point-scale, subcanopy snowmelt dynamics is evaluated in a mixed conifer forest, southern Sierra Nevada, California. Three model scenarios each providing varying levels of canopy structure detail were tested. Simulations of three water years initialized at locations of 24 ultrasonic snow depth sensors were evaluated against observations of snow water equivalent (SWE), snow disappearance date, and volumetric soil water content. When canopy model parameters canopy openness and effective leaf area index were obtained from satellite and literature-based sources, respectively, the model was unable to resolve the variable subcanopy snowmelt dynamics. When canopy parameters were obtained from hemispherical photos, the improvements were not statistically significant. However, when the model was modified to accept photo-derived time-varying direct beam canopy transmissivity, the error in the snow disappearance date was reduced by as much as one week and positive and negative biases in melt-season SWE and snow cover duration were significantly reduced. Errors in the timing of soil meltwater fluxes were reduced by 11 days on average. The optimum aggregated temporal model resolution of direct beam canopy transmissivity was determined to be 30 min; hourly averages performed no better than the bulk canopy scenarios and finer time steps did not increase overall model accuracy. The improvements illustrate the important contribution of direct shortwave radiation to subcanopy snowmelt and confirm the known nonlinear melt behavior of snow cover.

sted, utgiver, år, opplag, sider
2012. Vol. 48, nr 10, s. W10509-
Emneord [en]
Leaf-Area Index, Beneath Forest Canopies, Physical Snoatack Model, Mixed-Conifer Forest, Water Equivalent, Solar-Radiation, Sierra-Nevada, Longwave Radiation, Surface Processes, Complex Terrain
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-104694DOI: 10.1029/2012WR012285ISI: 000309609000006Scopus ID: 2-s2.0-84867509214OAI: oai:DiVA.org:kth-104694DiVA, id: diva2:566805
Merknad

QC 20121109

Tilgjengelig fra: 2012-11-09 Laget: 2012-11-09 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Søk i DiVA

Av forfatter/redaktør
Gustafsson, David
Av organisasjonen
I samme tidsskrift
Water resources research

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 49 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf