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Estimation of winter leaf area index and sky view fraction for snow modelling in boreal coniferous forests: Consequences on snow mass and energy balance
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Hållbar utveckling, miljövetenskap och teknik, Mark- och vattenteknik.
Vise andre og tillknytning
2013 (engelsk)Inngår i: Hydrological Processes, ISSN 0885-6087, E-ISSN 1099-1085, Vol. 27, nr 20, s. 2876-2891Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Leaf area index (LAI) and canopy coverage are important parameters when modelling snow process in coniferous forests, controlling interception and transmitting radiation. Estimates of LAI and sky view factor show large variability depending on the estimation method used, and it is not clear how this is reflected in the calculated snow processes beneath the canopy. In this study, the winter LAI and sky view fraction were estimated using different optical and biomass-based approximations in several boreal coniferous forest stands in Fennoscandia with different stand density, age and site latitude. The biomass-based estimate of LAI derived from forest inventory data was close to the values derived from the optical measurements at most sites, suggesting that forest inventory data can be used as input to snow hydrological modelling. Heterogeneity of tree species and site fertility, as well as edge effects between different forest compartments, caused differences in the LAI estimates at some sites. A snow energy and mass balance model (SNOWPACK) was applied to detect how the differences in the estimated values of the winter LAI and sky view fraction were reflected in simulated snow processes. In the simulations, an increase in LAI and a decrease in sky view fraction changed the snow surface energy balance by decreasing shortwave radiation input and increasing longwave radiation input. Changes in LAI and sky view fraction affected directly snow accumulation through altered throughfall fraction and indirectly snowmelt through the changed surface energy balance. Changes in LAI and sky view fraction had a greater impact on mean incoming radiation beneath the canopy than on other energy fluxes. Snowmelt was affected more than snow accumulation. The effect of canopy parameters on evaporation loss from intercepted snow was comparable with the effect of variation in governing meteorological variables such as precipitation intensity and air temperature.

sted, utgiver, år, opplag, sider
2013. Vol. 27, nr 20, s. 2876-2891
Emneord [en]
Canopy, Forest energy balance, Snow modelling
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-133245DOI: 10.1002/hyp.9432ISI: 000325218800003Scopus ID: 2-s2.0-84883265306OAI: oai:DiVA.org:kth-133245DiVA, id: diva2:660513
Forskningsfinansiär
Swedish Research Council Formas
Merknad

QC 20131030

Tilgjengelig fra: 2013-10-30 Laget: 2013-10-29 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Gustafsson, DavidSvensson, M.
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Totalt: 68 treff
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