Preprints
https://doi.org/10.5194/gmd-2022-169
https://doi.org/10.5194/gmd-2022-169
Submitted as: model experiment description paper
 | 
26 Sep 2022
Submitted as: model experiment description paper |  | 26 Sep 2022
Status: this preprint was under review for the journal GMD but the revision was not accepted.

Development of common socio-economic scenarios for climate change impact assessments in Japan

Sayaka Yoshikawa, Kiyoshi Takahashi, Wenchao Wu, Keisuke Matsuhashi, and Nobuo Mimura

Abstract. Climate change is one of the greatest long-term challenges faced by humanity. In the projection of climate change impacts, scenarios based on assumptions regarding future conditions are commonly used. Shared socio-economic pathways (SSPs) are widely employed as socio-economic scenarios for global-scale predictions. The SSPs provide future projections of population and gross domestic products. However, SSPs are not suitable for detailed assessments for a country such as Japan, as they include only global regional data. The S-18 project aims at a nationally unified projection of climate change impacts across multiple sectors in Japan. In contribution to this, based on the previous study for Japan SSPs, we established common socio-economic scenarios designated as Japan SSP1, Japan SSP5, and status quo. Japan SSP1 and Japan SSP5 are based on qualitative links to global SSPs. Japan SSP1 foresees sustainable society with low-carbon emission, while Japan SSP5 envisions a society dependent on fossil fuels, emitting large amounts of greenhouse gases. The status-quo scenario assumes no future change based on the current conditions in Japan. Moreover, we provided a common dataset of population and land-use under these scenarios. Population data were obtained from existing population projections, and land-use data were estimated according to population changes and current land-use classifications. Here, the dataset prepared for the S-18 project is detailed and possibilities for its improvement discussed.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Sayaka Yoshikawa, Kiyoshi Takahashi, Wenchao Wu, Keisuke Matsuhashi, and Nobuo Mimura

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-169', Anonymous Referee #1, 21 Oct 2022
    • AC1: 'Reply on RC1', Sayaka Yoshikawa, 13 Jan 2023
  • RC2: 'Comment on gmd-2022-169', Anonymous Referee #2, 16 Dec 2022
    • AC2: 'Reply on RC2', Sayaka Yoshikawa, 13 Jan 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-169', Anonymous Referee #1, 21 Oct 2022
    • AC1: 'Reply on RC1', Sayaka Yoshikawa, 13 Jan 2023
  • RC2: 'Comment on gmd-2022-169', Anonymous Referee #2, 16 Dec 2022
    • AC2: 'Reply on RC2', Sayaka Yoshikawa, 13 Jan 2023
Sayaka Yoshikawa, Kiyoshi Takahashi, Wenchao Wu, Keisuke Matsuhashi, and Nobuo Mimura

Data sets

Data and code of Land use scenario for 'Development of common socio-economic scenarios for climate change impact assessments in Japan' Sayaka Yoshikawa, Kiyoshi Takahashi, Wenchao Wu, Keisuke Matsuhashi, and Nobuo Mimura https://doi.org/10.5281/zenodo.7090670

Sayaka Yoshikawa, Kiyoshi Takahashi, Wenchao Wu, Keisuke Matsuhashi, and Nobuo Mimura

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Latest update: 13 Dec 2024
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Short summary
Socio-economic scenarios developed worldwide require revised versions for local assessments in Japan. Moreover, global narratives may lack important region-specific drivers, national policy perspectives, and unification of government-provided data. Therefore, we present the development of several socio-economic scenarios with changes in population and land use based on the previous study as a framework for projecting climate change impacts and adaptation assessment in Japan.