Biogeophysical impacts of forestation in Europe: first results from the LUCAS (Land Use and Climate Across Scales) regional climate model intercomparison
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Published:2020-02-20
Issue:1
Volume:11
Page:183-200
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ISSN:2190-4987
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Container-title:Earth System Dynamics
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language:en
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Short-container-title:Earth Syst. Dynam.
Author:
Davin Edouard L.ORCID, Rechid Diana, Breil Marcus, Cardoso Rita M.ORCID, Coppola Erika, Hoffmann Peter, Jach Lisa L., Katragkou Eleni, de Noblet-Ducoudré Nathalie, Radtke Kai, Raffa Mario, Soares Pedro M. M.ORCID, Sofiadis Giannis, Strada SusannaORCID, Strandberg GustavORCID, Tölle Merja H.ORCID, Warrach-Sagi Kirsten, Wulfmeyer VolkerORCID
Abstract
Abstract. The Land Use and Climate Across Scales Flagship Pilot
Study (LUCAS FPS) is a coordinated community effort to improve the
integration of land use change (LUC) in regional climate models (RCMs) and
to quantify the biogeophysical effects of LUC on local to regional climate
in Europe. In the first phase of LUCAS, nine RCMs are used to explore the
biogeophysical impacts of re-/afforestation over Europe: two
idealized experiments representing respectively a non-forested and a
maximally forested Europe are compared in order to quantify spatial and
temporal variations in the regional climate sensitivity to forestation. We
find some robust features in the simulated response to forestation. In
particular, all models indicate a year-round decrease in surface albedo,
which is most pronounced in winter and spring at high latitudes. This
results in a winter warming effect, with values ranging from +0.2 to +1
K on average over Scandinavia depending on models. However, there are also a
number of strongly diverging responses. For instance, there is no agreement
on the sign of temperature changes in summer with some RCMs predicting a
widespread cooling from forestation (well below −2 K in most regions), a
widespread warming (around +2 K or above in most regions) or a mixed
response. A large part of the inter-model spread is attributed to the
representation of land processes. In particular, differences in the
partitioning of sensible and latent heat are identified as a key source of
uncertainty in summer. Atmospheric processes, such as changes in incoming
radiation due to cloud cover feedbacks, also influence the simulated
response in most seasons. In conclusion, the multi-model approach we use
here has the potential to deliver more robust and reliable information to
stakeholders involved in land use planning, as compared to results based on
single models. However, given the contradictory responses identified, our
results also show that there are still fundamental uncertainties that need
to be tackled to better anticipate the possible intended or unintended
consequences of LUC on regional climates.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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