TC - Impact of measured and simulated tundra snowpack properties on heat transfer
The Tundra Carbon Balance - some recent results with LPJ-GUESS contributions Paul Miller Ben Smith, Martin Sykes, Torben Christensen, Arnaud Heroult, Almut. - ppt download
BG - Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
Scatter plots showing the relation between snow depth bias and topsoil... | Download Scientific Diagram
Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model
Remote sensing-based monitoring of snow cover dynamics and its influence on vegetation growth in the Middle Atlas Mountains
Assessment of Snow Depth over Arctic Sea Ice in CMIP6 Models Using Satellite Data
Adapting a dynamic vegetation model for regional biomass, plant biogeography, and fire modeling in the Greater Yellowstone Ecosy
PDF) Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
Tundra landscape heterogeneity, not interannual variability, controls the decadal regional carbon balance in the Western Russian Arctic - Treat - 2018 - Global Change Biology - Wiley Online Library
Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme
PDF) Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
PDF) Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme