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Earth's future climate and its variability simulated at 9 km global resolution

  • 31 authors, including
  • , Ja-Yeon Moon
  • , Jung-Eun Chu
  • , Zihao Lin
  • , Thomas Jung*
  • , Axel Timmermann*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Downloads (CityUHK Scholars)

Abstract

Earth's climate response to increasing greenhouse gas emissions occurs on a variety of spatial scales. To assess climate risks on regional scales and implement adaptation measures, policymakers and stakeholders often require climate change information on scales that are considerably smaller than the typical resolution of global climate models (O(100 km)). To close this important knowledge gap and consider the impact of small-scale processes on the global scale, we adopted a novel iterative global earth system modeling protocol. This protocol provides key information on earth's future climate and its variability on storm-resolving scales (less than 10 km). To this end we used the coupled earth system model OpenIFS-FESOM2 (AWI-CM3; Open Integrated Forecasting System-Finite volumE Sea ice-Ocean Model) with a 9 km atmospheric resolution (TCo1279) and a 4-25 km ocean resolution. We conducted a 20-year 1950 control simulation and four 10-year-long coupled transient simulations for the 2000s, 2030s, 2060s, and 2090s. These simulations were initialized from the trajectory of a coarser 31 km (TCo319) SSP5-8.5 transient greenhouse warming simulation of the coupled model with the same high-resolution ocean. Similar to the coarser-resolution TCo319 transient simulation, the high-resolution TCo1279 simulation with the SSP5-8.5 scenario exhibits a strong warming response relative to present-day conditions, reaching up to 6.5 °C by the end of the century at CO2 levels of about 1100 ppm. The TCo1279 high-resolution simulations show a substantial increase in regional information and climate change granularity relative to the TCo319 experiment (or any other lower-resolution model), especially over topographically complex terrain. Examples of enhanced regional information include projected changes in temperature, rainfall, winds, extreme events, tropical cyclones, and the hydroclimate teleconnection patterns of the El Niño-Southern Oscillation and the North Atlantic Oscillation on scales of less than 1000 km. The novel iterative modeling protocol that facilitates coupled storm-resolving global climate simulations for future climate time slices offers major benefits over regional climate models. However, it also has some drawbacks, such as initialization shocks and resolution-dependent biases and climate sensitivities, which are further discussed. © Author(s) 2025.
Original languageEnglish
Pages (from-to)1103-1134
JournalEarth System Dynamics
Volume16
Issue number4
Online published17 Jul 2025
DOIs
Publication statusPublished - 2025

Funding

This work was supported by the Institute for Basic Science (IBS) under IBS-R028-D1. Malte F. Stuecker was supported by NSF grant AGS-2141728. This paper is a contribution to the projects L4, S1, and S2 of the Collaborative Research Centre TRR 181 \u201CEnergy Transfers in Atmosphere and Ocean\u201D funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation; project no. 274762653). Jan P. G\u00E4rtner, Rohit Ghosh, and Thomas Jung were supported by the EERIE project (grant agreement no. 101081383) funded by the European Union. Dmitry Sein was supported by the MIPT Development Program (Priority-2030) and EU Horizon 2020 project NextGEMs. Jan Hegewald, Thomas Jung, and Dmitry Sein were supported by the European Commission EU Horizon 2020 project nextGEMS (grant no. 101003470). Svetlana N. Loza and Thomas Jung benefited from funding by the German Federal Ministry of Education and Research of WarmWorld under the funding code Better \u2013 01LK2202A. This is IPRC publication 1639 and SOEST contribution 11925. The article processing charges for this open-access publication were covered by the Alfred-Wegener-Institut Helmholtz-Zentrum f\u00FCr Polar- und Meeresforschung.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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