The amount of insolation reaching the surface is a critical parameter for climate change estimation and numerical weather prediction (NWP).
Time-series of elevation changes will enable determination of the present-day mass balance of the ice sheets, study of associations between observed ice changes and polar climate, and estimation of the present and future contributions of the ice sheets to global sea level rise.
Recent investigations of the global distribution of biomass within forests have provided insight for comparing size- and species-specific predictions (i.e., allometric equations and proportional ratios) with climate-sensitive estimations of belowground C [e.g., 8].
We extended this approach here, and we showed how such a mechanistic model can be used to investigate the type and strength of selection mediated by the climate through the estimation of the selection differential (using Cw, the difference in the population before and after an episode of selection).
Here we report that these responses could result in biased estimations of climate change-related impacts due to unforeseen effects of land use changes.
Phys., 11, 11827 11857, 2011 Magne Aldrin, Marit Holden, Peter Guttorp, Ragnhild Bieltvedt Skeie, Gunnar Myhre and Terje Koren Berntsen, Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content, Environmetrics, 2012.
Uncertainty estimation of climate change impacts on hydrology has received much attention in the research community.
The results also provided a general impression on the possible impacts of climate change on flood estimation in the Quebec province.
This study suggests that climate model-based timing estimation of thermal settlement hazard onset is a valuable method, and that the results are worthy of consideration in engineering design and evaluation.
We modeled a broad range of taxa (11,012 species of birds and vascular plants), including both endemic and widespread species and provide a comprehensive estimation of climate change impacts on the Andes.
