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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-277
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-277
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 05 Nov 2019

Submitted as: development and technical paper | 05 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Enhancement and validation of a state-of-the-art global hydrological model H08 (v.bio1) to simulate second-generation herbaceous bioenergy crop yield

Zhipin Ai1, Naota Hanasaki1, Vera Heck2, Tomoko Hasegawa3, and Shinichiro Fujimori4 Zhipin Ai et al.
  • 1Center for Climate Change Adaptation, National Institute for Environmental Studies, 16-2, Onogawa, Tsukuba 305-8506, Japan
  • 2Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, Potsdam 14473, Germany
  • 3Department of Civil and Environmental Engineering, Ritsumeikan University, 56-1, Toji-in Kitamachi, Kita-ku, Kyoto 603-8577, Japan
  • 4Department of Environmental Engineering, Kyoto University, Building C1-3, C-cluster, Kyoto-Daigaku-Katsura, Nishikyo-ku, Kyoto 615-8504, Japan

Abstract. The bioenergy crop yield is a critical determinant of the bioenergy potential for various stringent climate change mitigation scenarios. Currently, the bioenergy crop yield is usually determined from a limited number of simulations. However, reliable yield simulation remains a challenge at the global scale. Here, through parameter calibration and algorithm improvement, we enhanced a state-of-the-art global hydrological model (H08) to simulate the bioenergy yield from dedicated the herbaceous bioenergy crops Miscanthus and switchgrass. Site-specific evaluations showed that the enhanced H08 had the ability to simulate yield for both Miscanthus and switchgrass, with the calibrated yields being well within the ranges of the observed yield. Independent country-specific evaluations further confirmed the performance of the enhanced H08. Using this improved model, we found that unconstrained irrigation more than doubled the yield of the rainfed condition, but reduced the water use efficiency (WUE) by 29 % globally. With irrigation, the yield in dry climate zones can exceed the rainfed yields in tropical climate zones. Nevertheless, due to the low water consumption in tropical areas, the highest WUE was found in tropical climate zones, regardless of whether the crop was irrigated.

Zhipin Ai et al.
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Model code and software

H08 (v.bio1) Z. Ai, N. Hanasaki, V. Heck, T. Hasegawa, and S. Fujimori https://doi.org/10.5281/zenodo.3521407

Zhipin Ai et al.
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Short summary
Reliable bioenergy crop yield simulation remains a challenge at the global scale. Here, we enhanced a state-of-the-art global hydrological model to simulate bioenergy yield. We found that unconstrained irrigation more than doubled the yield under rainfed condition, while simultaneously reducing the water-use efficiency by 29 % globally. This is the first trial to use a global hydrological model to simulate the bioenergy crop and offers an effective tool to assess the bioenergy-water relations.
Reliable bioenergy crop yield simulation remains a challenge at the global scale. Here, we...
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