Journal of Climate Change Research (한국기후변화학회지)

The Korean Society of Climate Change Research (한국기후변화학회)
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Role of Cloud Feedback in Continental Warming Response to CO2 Physiological Forcing

  • So-Won Park (Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Jong-Seong Kug (Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Sang-Yoon Jun (Korea Polar Research Institute) ;
  • Su-Jong Jeong (Department of Environmental Planning, Graduate School of Environmental Studies, Seoul National University) ;
  • Jin-Soo Kim (Department of Evolutionary Biology and Environmental Studies, University of Zurich)
  • Received : 2021.01.11
  • Accepted : 2021.06.23
  • Published : 20210000
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Abstract

Stomatal closure is a major physiological response to the increasing atmospheric carbon dioxide (CO2), which can lead to surface warming by regulating surface energy fluxes-a phenomenon known as CO2 physiological forcing. The magnitude of land surface warming caused by physiological forcing is substantial and varies across models. Here we assess the continental warming response to CO2 physiological forcing and quantify the resultant climate feedback using carbon-climate simulations from phases 5 and 6 of the Coupled Model Intercomparison Project, with a focus on identifying the cause of intermodel spread. It is demonstrated that the continental (40°-70°N) warming response to the physiological forcing in summer (~0.55 K) is amplified primarily due to cloud feedback (~1.05 K), whereas the other climate feedbacks, ranging from -0.57 to 0.20 K, show relatively minor contributions. In addition, the strength of cloud feedback varies considerably across models, which plays a primary role in leading large diversity of the continental warming response to the physiological forcing.

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Acknowledgement

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, the climate modelling groups (listed in Table 2) for producing and making their model output, and the ESGF for archiving the data and providing access. All CMIP data are available from the ESGF repository at https://esgf-node.llnl.gov/projects/esgf-llnl/. S.-W. Park and J.-S. Kug were supported by the R&D Program for Oceans and Polar Regions of the National Research Foundation (NRF) funded by the Ministry of Science and ICT (2020M1A5A1110670). S.-Y. Jun was supported by the Earth System Model-based Korea Polar Prediction System (KPOPS-Earth) Development and Its Application to the High-Impact Weather Events originated from the Changing Arctic Ocean and Sea Ice (PE21010). J.-S. Kim was supported by the University of Zurich Research Priority Programme on Global Change and Biodiversity (URPP GCB).