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Journal Article

Uncertainties in climate responses to past land cover change: First results from the LUCID intercomparison study

MPS-Authors
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Brovkin,  V.       
Climate-Biogeosphere Interaction, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

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Claussen,  M.       
Director’s Research Group LES, The Land in the Earth System, MPI for Meteorology, Max Planck Society;
B 2 - Land Use and Land Cover Change, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations;

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Gayler,  V.       
Climate-Biogeosphere Interaction, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

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Müller,  C.
IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society;

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Reick,  C. H.
Global Vegetation Modelling, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

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Citation

Pitman, A. J., de Noblet-Ducoudré, N., Cruz, F. T., Davin, E. L., Bonan, G. B., Brovkin, V., et al. (2009). Uncertainties in climate responses to past land cover change: First results from the LUCID intercomparison study. Geophysical Research Letters, 36: L14814. doi:10.1029/2009GL039076.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0011-F8CF-9
Abstract
Seven climate models were used to explore the biogeophysical impacts of human-induced land cover change (LCC) at regional and global scales. The imposed LCC led to statistically significant decreases in the northern hemisphere summer latent heat flux in three models, and increases in three models. Five models simulated statistically significant cooling in summer in near-surface temperature over regions of LCC and one simulated warming. There were few significant changes in precipitation. Our results show no common remote impacts of LCC. The lack of consistency among the seven models was due to: 1) the implementation of LCC despite agreed maps of agricultural land, 2) the representation of crop phenology, 3) the parameterisation of albedo, and 4) the representation of evapotranspiration for different land cover types. This study highlights a dilemma: LCC is regionally significant, but it is not feasible to impose a common LCC across multiple models for the next IPCC assessment.