Contribution of surface roughness to simulations of historical deforestation
Wang, Ye; Wang, Zhaomin 
ORCID: https://orcid.org/0000-0001-7103-6025.
2015
Contribution of surface roughness to simulations of historical deforestation.
Physics and Chemistry of the Earth, 87-88.
119-125.
10.1016/j.pce.2015.08.014
Abstract/Summary
Surface roughness which partitions surface net radiation into energy fluxes is a key parameter for estimation of biosphere–atmosphere interactions and climate variability. An earth system model of intermediate complexity (EMIC), MPM-2, is used to derive the impact of surface roughness on climate from simulations of historical land cover change effects. The direct change in surface roughness leads to a global surface warming of 0.08 °C through altering the turbulence in the boundary layer. The regional temperature response to surface roughness associated deforestation is very strong at northern mid-latitudes with a most prominent warming of 0.72 °C around 50°N in the Eurasia continent during summer. They can be explained mainly as direct and indirect consequences of decreases in surface albedo and increases in precipitation in response to deforestation, although there are a few significant changes in precipitation. There is also a prominent warming of 0.25 °C around 40°N in the North American continent. This study indicates that land surface roughness plays a significant role which is comparable with the whole land conversion effect in climate change. Therefore, further investigation of roughness–climate relationship is needed to incorporate these aspects.
| Item Type: | Publication - Article |
|---|---|
| Digital Object Identifier (DOI): | 10.1016/j.pce.2015.08.014 |
| Programmes: | BAS Programmes > BAS Programmes 2015 > Polar Oceans |
| ISSN: | 14747065 |
| Additional Keywords: | surface roughness, modelling, deforestation |
| Date made live: | 15 Sep 2015 10:52 +0 (UTC) |
| URI: | https://nora.nerc.ac.uk/id/eprint/511772 |
Actions (login required)
 |
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year
Tools
Tools
