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Radiative Forcing Bias of Surface Albedo Modifications Linked to Simulated Forest Cover Changes at Northern Latitudes : Volume 11, Issue 12 (12/12/2014)

By Bright, R. M.

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Book Id: WPLBN0004004810
Format Type: PDF Article :
File Size: Pages 22
Reproduction Date: 2015

Title: Radiative Forcing Bias of Surface Albedo Modifications Linked to Simulated Forest Cover Changes at Northern Latitudes : Volume 11, Issue 12 (12/12/2014)  
Author: Bright, R. M.
Volume: Vol. 11, Issue 12
Language: English
Subject: Science, Biogeosciences, Discussions
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Antón-Fernández, C., Astrup, R., Myhre, G., Bright, R. M., & Strømman, A. H. (2014). Radiative Forcing Bias of Surface Albedo Modifications Linked to Simulated Forest Cover Changes at Northern Latitudes : Volume 11, Issue 12 (12/12/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Industrial Ecology Program, Energy and Process Engineering, Norwegian University of Science and Technology, Sem Sælands vei 7, E-1, 7491 Trondheim, Norway. Simulated land use/land cover change (LULCC) radiative forcings (RF) from changes in surface albedo (ΔΑ) predicted by land surface schemes of six leading climate models were compared to those based on daily MODIS retrievals for three regions in Norway and for three winter–spring seasons. As expected, the magnitude and sign of the albedo biases varied considerably for forests; unexpectedly, however, biases of equal magnitude were evident in predictions at open area sites. The latter were mostly positive and exacerbated the strength of vegetation masking effects and hence the simulated LULCC ΔΑ RF. RF bias was considerably small across models (-0.08 ± 0.04 W m-2; 21 ± 11%); 4 of 6 models had normalized mean absolute errors less than 20% (3-year regional mean). Identifying systematic sources of the albedo prediction biases proved challenging, although for some schemes clear sources were identified. Our study should provide some reassurance that model improvement efforts of recent years are leading to enhanced LULCC climate predictions.

Summary
Radiative forcing bias of surface albedo modifications linked to simulated forest cover changes at northern latitudes

Excerpt
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