摘要：Understanding how land surfaces respond to climate change requires knowledge of
land-surface processes, which control the degree to which interannual variability and mean
trends in climatic variables affect the surface energy budget. We use the latest
version of the Community Land Model version 3.5 (CLM3.5), which is driven
by the latest updated hybrid reanalysis-observation atmospheric forcing dataset
constructed by Princeton University, to obtain global distributions of the surface
energy budget from 1948 to 2000. We identify climate change hotspots and surface
energy flux hotspots from 1948 to 2000. Surface energy flux hotspots, which reflect
regions with strong changes in surface energy fluxes, reveal seasonal variations
with strong signals in winter, spring, and autumn and weak ones in summer.
Locations for surface energy flux hotspots are not, however, fully linked with those for
climate change hotspots, suggesting that only in some regions are land surfaces
more responsive to climate change in terms of interannual variability and mean
trends.
