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Earth Sciences Sector. Variation of land surface albedo and its simulation. Reducing Canada's vulnerability to climate change. Shusen Wang Andrew Davidson Canada Centre for Remote Sensing. Acknowledgment: CCAF, PFRA, BOREAS. Albedo and climate control surface radiation and energy balances
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Earth Sciences Sector Variation of land surface albedo and its simulation Reducing Canada's vulnerability to climate change Shusen Wang Andrew Davidson Canada Centre for Remote Sensing Acknowledgment: CCAF, PFRA, BOREAS
Albedo and climate • control surface radiation and energy balances • affects boundary-layer structure and dynamics • e.g., albedo changes from forestation in temperate and boreal forest could offset C sequestration (A. Betts, 2000) Albedo and ecosystem • control microclimate conditions • affects biogeochemical cycles
Variations of albedo due to • different vegetation types • snow covering • solar zenith angle …and • climate/weather impact • plant development/phenology • surface heterogeneity
Precipitation in 2001 and 2003
Drought impact Chapin et al. (1999): net climate-forcing due to about 5% difference in albedo between forest tundra and shrub tundra of northern Alaska are in the order of 5.5 W m-2, which is comparable to the effect of a doubling of global atmospheric CO2 concentration (4.4 W m-2, Wuebbles 1995).
The albedo model 1. Based on ecosystem elements • Leaf: ref., abs., trans. • Stem/branch: ref., abs. • Snow: snow age/condition • Soil: texture, moisture 2. Ray tracing scheme for radiation transfer 3. Canopy gap probability
Shortwave albedo (SSA-OA)a: leafless canopy with snow-covered groundb: leafless canopy without snow coverc: leafed canopy during growing season
Reflected Radiation
Surface albedo and ecosystem conditionsa: stand densityb: leaf angular distributionc: leaf and wood area indicesd: leaf reflectancee: tree bark reflectancef: soil reflectance
Ecological Assimilationof Land and Climate Observations- the EALCO model
Summary • Drought, plant development, and spatial heterogeneity may induce significant changes of surface albedo; • Radiation transfer model based on ecosystem structure and optical parameters can better represent dynamics; • Albedo from site measurement has limitations in spatial representation. It can be improved by the model using RS inputs; • Dew/frost & snow interception could significantly change . Coupling with EB model is necessary to capture this phenomena; • Winter of high latitude ecosystems is very sensitive to LAI/WAI; • Simulation at high spectral resolution can improve ecosystem C simulation.