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In the use of integrated assessment models to determine how the economy is affected by climate change, the bidirectional coupling of Earth system model with the integrated assessment model is needed. In the context of coupled problems in human‐Earth systems, two issues persist: spatial and temporal scale matching. For spatial scale matching, this paper proposes the area weight conversion method, a gridding method for calculations to accord with the grid of the Earth's system mode, where administrative data cells are transformed into grid data by “pregridding” and “postgridding.” For temporal scale matching, the temporal scale of the economic statistics was shortened to 1 year to render it consistent with the Earth system model. Using the area weight conversion method, grid processing was performed in terms of population and Gross Domestic Product for all provinces of China and every country of the world, respectively. The results showed that the characteristics of gridding population and Gross Domestic Product data were consistent with their actual distributions, that is, the credibility of gridding was high. The temporal matching treatment refined to the year and the spatial matching treatment following gridding met the overall requirements of coupling. Moreover, they provide a foundation for the coupling of the human‐Earth system model.
In the use of integrated assessment models to determine how the economy is affected by climate change, the bidirectional coupling of Earth system model with the integrated assessment model is needed. In the context of coupled problems in human‐Earth systems, two issues persist: spatial and temporal scale matching. For spatial scale matching, this paper proposes the area weight conversion method, a gridding method for calculations to accord with the grid of the Earth's system mode, where administrative data cells are transformed into grid data by “pregridding” and “postgridding.” For temporal scale matching, the temporal scale of the economic statistics was shortened to 1 year to render it consistent with the Earth system model. Using the area weight conversion method, grid processing was performed in terms of population and Gross Domestic Product for all provinces of China and every country of the world, respectively. The results showed that the characteristics of gridding population and Gross Domestic Product data were consistent with their actual distributions, that is, the credibility of gridding was high. The temporal matching treatment refined to the year and the spatial matching treatment following gridding met the overall requirements of coupling. Moreover, they provide a foundation for the coupling of the human‐Earth system model.
Research on climate change science communication began in the 1980s and is showing continued vitality and a wider interest at present. In order to track the development of global research on the communication of climate change hot topics and frontier progress since the 21st century, methods such as bibliometrics and co-word network analysis were used to analyze the publication of research papers in this field, and a total of 1175 valid papers published in 2000–2021 in the WOS core database were counted. Different dimensions such as temporal trend, spatial distribution, and author collaboration network were analyzed. The results show that, (1) climate change communication research has become a relatively independent research field and has entered a rapid development stage, and this field still has a broad research prospect in the new understanding of climate change and new international context. (2) At present, research in this field is still dominated by developed countries, but developing countries are actively building their unique climate communication discourse. (3) Public understanding and media information presentation have been hot topics in climate communication research in recent years. In the context of changing international situations and the development of global epidemics and new climate policies, changes in national actions will likely lead to new research topics and dialogues. Research shows that climate change science communication research is increasingly showing a trend of decentralization and differentiation.
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