중국 古氣候 연구와 그 활용 방안
Paleoclimate studies in China and its applications for History
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This paper examines the climate of ancient China and the challenges of interpreting past climate data in a historical context. The study of paleoclimate in China began with the work of Chinese geologist and meteorologist Kezhen Zhu, who used historical documents to reconstruct past climate patterns. Since then, the development of science and technology has enabled scientists to reconstruct the climate of the entire Holocene period (the past 11,700 years). The Holocene climate optimum, which occurred in the middle of the Holocene, was characterized by a continuous rise in temperature, reaching a temperature of 0.5-1°C higher than today. However, this is a general trend, and the climate change in different regions of China shows different trends. Therefore, it is important to be careful when interpreting past climate data. The results of climate model studies and climate proxy data-based studies are often contradictory, which makes the reconstruction of Holocene climate a complex and challenging task. In order to deal with paleoclimate quantitatively in historical research, a paleoclimate dataset is needed. However, there is no paleoclimate database for the entire Holocene period in China yet. Nevertheless, paleoclimate research datasets are being collected, and several research teams are continuously trying to build databases. The climate of ancient China has been approached from different perspectives by historians and climatologists. When investigating the research to date, there are often problems in the interpretation of the research results. To solve this, interdisciplinary research between history and climatology is essential. Examples of interdisciplinary research are the HCS (History of Climate and Society) and the archaeology of climate change. The diverse aspects of ancient history that have been overlooked so far in China, which has more archaeological data than any other region in the world, will be revealed anew with the use of climate data and interdisciplinary research in the future.
Abstract
This paper examines the climate of ancient China and the challenges of interpreting past climate data in a historical context. The study of paleoclimate in China began with the work of Chinese geologist and meteorologist Kezhen Zhu, who used historical documents to reconstruct past climate patterns. Since then, the development of science and technology has enabled scientists to reconstruct the climate of the entire Holocene period (the past 11,700 years). The Holocene climate optimum, which occurred in the middle of the Holocene, was characterized by a continuous rise in temperature, reaching a temperature of 0.5-1°C higher than today. However, this is a general trend, and the climate change in different regions of China shows different trends. Therefore, it is important to be careful when interpreting past climate data. The results of climate model studies and climate proxy data-based studies are often contradictory, which makes the reconstruction of Holocene climate a complex and challenging task. In order to deal with paleoclimate quantitatively in historical research, a paleoclimate dataset is needed. However, there is no paleoclimate database for the entire Holocene period in China yet. Nevertheless, paleoclimate research datasets are being collected, and several research teams are continuously trying to build databases. The climate of ancient China has been approached from different perspectives by historians and climatologists. When investigating the research to date, there are often problems in the interpretation of the research results. To solve this, interdisciplinary research between history and climatology is essential. Examples of interdisciplinary research are the HCS (History of Climate and Society) and the archaeology of climate change. The diverse aspects of ancient history that have been overlooked so far in China, which has more archaeological data than any other region in the world, will be revealed anew with the use of climate data and interdisciplinary research in the future.
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