Atmospheric temperature
; Biospherics
; Climate models
; Deforestation
; Land use
; Oceanography
; Surface measurement
; Surface waters
; Atmosphere-land interactions
; Biosphere-atmosphere interactions
; Global climate model
; Land surface
; Land surface properties
; Land-surface process
; Robust identification
; Sea surface temperature (SST)
; Climate change
; air-soil interaction
; climate effect
; climate modeling
; deforestation
; global climate
; land cover
; land surface
; land use change
英文摘要:
Land-cover change (LCC) happens locally. However, in almost all simulation studies assessing biogeophysical climate effects of LCC, local effects (due to alterations in a model grid box) are mingled with nonlocal effects (due to changes in wide-ranging climate circulation). This study presents a method to robustly identify local effects by changing land surface properties in selected "LCC boxes" (where local plus nonlocal effects are present), while leaving others unchanged (where only nonlocal effects are present). While this study focuses on the climate effects of LCC, the method presented here is applicable to any land surface process that is acting locally but is capable of influencing wide-ranging climate when applied on a larger scale. Concerning LCC, the method is more widely applicable than methods used in earlier studies. The study illustrates the possibility of validating simulated local effects by comparison to observations on a global scale and contrasts the underlying mechanisms of local and nonlocal effects. In the MPI-ESM, the change in background climate induced by extensive deforestation is not strong enough to influence the local effects substantially, at least as long as sea surface temperatures are not affected. Accordingly, the local effects within a grid box are largely independent of the number of LCC boxes in the isolation approach.
Max Planck Institute for Meteorology, Hamburg, Germany
Recommended Citation:
Winckler J.,Reick C.H.,Pongratz J.. Robust identification of local biogeophysical effects of land-cover change in a global climate model[J]. Journal of Climate,2017-01-01,30(3)