HR: 0800h
AN: C21A-1075    [Abstracts]
TI: Modelling variability in radiative fluxes on snow surfaces beneath coniferous canopies
AU: * Essery, R
EM: rie@aber.ac.uk
AF: University of Wales Aberystwyth, IGES University of Wales, Aberystwyth, SY23 2HX United Kingdom
AU: Hardy, J
EM: Janet.P.Hardy@erdc.usace.army.mil
AF: Cold Regions Research and Engineering Laboratory, 72 Lyme Road, Hanover, NH 03755-1290 United States
AU: Link, T
EM: tlink@uidaho.edu
AF: University of Idaho, Department of Forest Resources University of Idaho, Moscow, ID 83844-1133 United States
AU: Marks, D
EM: danny@nwrc.ars.usda.gov
AF: U.S.D.A. Agricultural Research Service, Northwest Watershed Research Center 800 Park Blvd., Plaza IV, Suite 105 , Boise, ID 83712 United States
AU: Pomeroy, J
EM: pomeroy@usask.ca
AF: University of Saskatchewan, Department of Geography Rm 42 Kirk Hall 117 Science Place , Saskatoon, S7N 5C8 Canada
AU: Rowlands, A
EM: alr@aber.ac.uk
AF: University of Wales Aberystwyth, IGES University of Wales, Aberystwyth, SY23 2HX United Kingdom
AU: Rutter, N
EM: nkr@aber.ac.uk
AF: University of Wales Aberystwyth, IGES University of Wales, Aberystwyth, SY23 2HX United Kingdom
AB: Absorption, scattering and emission of solar and thermal radiation by coniferous canopies can have a large influence on the surface energy balance of snow in forests. The high variability of radiative fluxes in sparse or discontinuous forests cannot be captured by simple two-stream canopy radiation models, and sophisticated ray-tracing models are too computationally and data intensive for practical applications. An efficient spatial model representing individual trees as simple geometric primitives with a stochastic component for smaller scales is presented, and model results are compared with measurements from radiometer arrays. Forest structure information for the model can be obtained from manual mapping, hemispherical photography, aerial photography or airborne laser scanning. The model is used to investigate spatial and temporal scaling of radiative fluxes at the snow surface.
DE: 0736 Snow (1827, 1863)
DE: 0798 Modeling
DE: 1851 Plant ecology (0476)
DE: 3332 Mesospheric dynamics
SC: Cryosphere [C]
MN: Fall Meeting 2005