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Constrained tropical land temperature-precipitation sensitivity reveals decreasing evapotranspiration and faster vegetation greening in CMIP6 projections

  • Boyuan Zhu
  • , Yongzhou Cheng
  • , Xuyue Hu
  • , Yuanfang Chai*
  • , Wouter R. Berghuijs
  • , Alistair G.L. Borthwick
  • , Louise Slater
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Over the tropical land surface, accurate estimates of future changes in temperature, precipitation and evapotranspiration are crucial for ecological sustainability, but remain highly uncertain. Here we develop a series of emergent constraints (ECs) by using historical and future outputs from the Coupled Model Inter-comparison Project Phase 6 (CMIP6) Earth System Models under the four basic Shared Socio-economic Pathway scenarios (SSP126, SSP245, SSP370, and SSP585). Results show that the temperature sensitivity to precipitation during 2015–2100, which varies substantially in the original CMIP6 outputs, becomes systematically negative across SSPs after application of the EC, with absolute values between −1.10 °C mm−1 day and −3.52 °C mm−1 day, and with uncertainties reduced by 9.4% to 41.4%. The trend in tropical land-surface evapotranspiration, which was increasing by 0.292 mm yr−1 in the original CMIP6 model outputs, becomes significantly negative (−0.469 mm yr−1) after applying the constraint. Moreover, we find a significant increase of 58.7% in the leaf area index growth rate.

Original languageEnglish
Article number91
Pages (from-to)1-9
Number of pages9
Journalnpj Climate and Atmospheric Science
Volume6
DOIs
Publication statusPublished - 14 Jul 2023

Bibliographical note

Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant No. 52209079), the Natural Science Foundation of Hunan Province (Grant No. 2021JJ40607), the Scientific Research Foundation of Hunan Provincial Education Department (Grant No. 20B021), the UK Natural Environment Research Council (NERC; Grants No. NE/S009000/1 and NE/S015728/1), and UK Research and Innovation (Grant No. MR/V022008/1). We thank Prof. Han Dolman for his constructive comments on an early version of this manuscript, especially with regard to the expression of response sensitivity between temperature and precipitation, which contribute to the validity of this study and highly improve the quality of the manuscript.

Publisher Copyright:
© 2023, The Author(s).

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 52209079), the Natural Science Foundation of Hunan Province (Grant No. 2021JJ40607), the Scientific Research Foundation of Hunan Provincial Education Department (Grant No. 20B021), the UK Natural Environment Research Council (NERC; Grants No. NE/S009000/1 and NE/S015728/1), and UK Research and Innovation (Grant No. MR/V022008/1). We thank Prof. Han Dolman for his constructive comments on an early version of this manuscript, especially with regard to the expression of response sensitivity between temperature and precipitation, which contribute to the validity of this study and highly improve the quality of the manuscript.

FundersFunder number
UK Research and Innovation
Natural Environment Research CouncilNE/S009000/1, NE/S015728/1
Scientific Research Foundation of Hunan Provincial Education Department20B021
Medical Research CouncilMR/V022008/1
Natural Science Foundation of Hunan Province2021JJ40607
National Natural Science Foundation of China52209079

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