Modeling ecological processes at global scales is complicated by the fact that available underlying spatial and temporal data often incorporate enormous uncertainty. For example, the WorldClim data set (which has been cited over 2000 times) offers 1-kilometer resolution globally whether the pixel …
High-resolution Regional Modelling
Yale Professor Ken Gillingham welcomes participants in this YCEI sponsored workshop that brings together climate change scientists and economists whose modeling efforts hinge on the need to accommodate anticipated climate change in a warming world.
A farmer in the central USA and a fisherman in Maine will not experience global warming in the same way. Dynamic interactions between cities, deserts, and forests mean that a rise in the global mean temperature doesn’t imply uniform warming of the planet. As climate change advances, wind patterns and ocean currents will shift; the sea may swell in some places, while rivers run dry in others. Global climate models make predictions on too broad a scale to recognize many of these effects, leaving policy makers unable to prepare their communities.
Yale School of Forestry and Environmental Sciences’ Professor Peter Raymond was lead author on “Global Carbon Dioxide Emissions from Inland Waters”, published in Nature. An ecosystem ecologist,” Raymond tracks carbon, the element most closely associated with life, as it makes its way between living
Linda Mearns has served as lead or co-convening lead author on several Intergovernmental Panel on Climate Change reports and shared in the 2007 Nobel Peace prize. Mearns is director of the Weather and Climate Impacts Assessment Science Program and a senior scientist in NCAR’s Institute for Mathematics Applied to Geosciences.