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Partitioning global land evapotranspiration using CMIP5 models constrained by observations

Lian, Xu; Piao, Shilong; Huntingford, Chris ORCID: https://orcid.org/0000-0002-5941-7770; Li, Yue; Zeng, Zhenzhong; Wang, Xuhui; Ciais, Philippe; McVicar, Tim R.; Peng, Shushi; Ottlé, Catherine; Yang, Hui; Yang, Yuting; Zhang, Yongqiang; Wang, Tao. 2018 Partitioning global land evapotranspiration using CMIP5 models constrained by observations. Nature Climate Change, 8 (7). 640-646. https://doi.org/10.1038/s41558-018-0207-9

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Abstract/Summary

The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface–atmosphere interactions. However, its magnitude remains highly uncertain at the global scale. Here we apply an emergent constraint approach that integrates CMIP5 Earth system models (ESMs) with 33 field T/ET measurements to re-estimate the global T/ET value. Our observational constraint strongly increases the original ESM estimates (0.41 ± 0.11) and greatly alleviates intermodel discrepancy, which leads to a new global T/ET estimate of 0.62 ± 0.06. For all the ESMs, the leaf area index is identified as the primary driver of spatial variations of T/ET, but to correct its bias generates a larger T/ET underestimation than the original ESM output. We present evidence that the ESM underestimation of T/ET is, instead, attributable to inaccurate representation of canopy light use, interception loss and root water uptake processes in the ESMs. These processes should be prioritized to reduce model uncertainties in the global hydrological cycle.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1038/s41558-018-0207-9
UKCEH and CEH Sections/Science Areas: Hydro-climate Risks (Science Area 2017-)
ISSN: 1758-678X
Additional Information. Not used in RCUK Gateway to Research.: View-only full-text version available via Publisher link (see Related URLs).
Additional Keywords: hydrology
NORA Subject Terms: Hydrology
Atmospheric Sciences
Related URLs:
Date made live: 24 Jul 2018 11:13 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/520582

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