Abstract. This paper describes Global Change Analysis Model-China version 8 (GCAM-China-v8), an open-source integrated assessment model that represents interactions among energy, economic, and water systems within a globally consistent framework, with explicit subnational representation for China. GCAM-China-v8 builds on the GCAM and represents the world as 31 geopolitical regions outside China, while disaggregating China into 31 province-level regions to capture regional heterogeneity. GCAM-China-v8 can be used to explore how changes in socioeconomic drivers, technological progress, and policy assumptions affect energy and water demand and production at the subnational level in China, while maintaining consistency with national and international boundary conditions. This paper documents the model structure and data inputs, with particular emphasis on the methodological updates introduced in GCAM-China-v8, including enhanced sectoral and temporal representations. To demonstrate the capabilities of the updated model, we apply GCAM-China-v8 to two illustrative scenarios with contrasting assumptions about future socioeconomic development and energy system transformation. This paper provides a transparent and extensible modeling framework for future research on China’s long-term energy and climate transitions. It also contributes to the broader Integrated Assessment Models (IAMs) community by advancing national-scale model development within an open and consistent framework.
Received: 04 Apr 2026 – Discussion started: 26 May 2026
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 paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Center for Global Sustainability, University of Maryland, College Park, MD 20742, USA
Jianxiang Shen
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Center for Global Sustainability, University of Maryland, College Park, MD 20742, USA
Zihua Yin
PetroChina International Company Limited, Beijing 100033, China
Jian Zang
Tianfu Yongxing Laboratory, Chengdu 610213, China
Qianzhi Zhang
Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China
Wenjia Cai
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Wenying Chen
Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China
Leon Clarke
Center for Global Sustainability, University of Maryland, College Park, MD 20742, USA
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
This study introduces a new open-source model GCAM-China-v8, developed by the community to better understand China’s energy and emissions at both national and provincial levels. The model links detailed regional systems with global trends, allowing users to explore how economic growth, technology, and policy choices shape future pathways. It provides a transparent and flexible tool to support research and decision making on energy and climate issues.
This study introduces a new open-source model GCAM-China-v8, developed by the community to...