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基于REACHES数据库重建1368 - 1911年中国温度指数序列

Reconstruction of the Temperature Index Series of China in 1368-1911 based on REACHES database.

作者信息

Wang Pao K, Lin Kuan-Hui Elaine, Lin Yu-Shiuan, Lin Ho-Jiunn, Pai Pi-Ling, Tseng Wan-Ling, Huang Hsin-Cheng, Lee Chung-Rui

机构信息

Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.

Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan.

出版信息

Sci Data. 2024 Oct 10;11(1):1117. doi: 10.1038/s41597-024-03937-2.

DOI:10.1038/s41597-024-03937-2
PMID:39389959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11467317/
Abstract

This study reports the methodology for reconstructing anomalous temperature index series of China in 1368-1911 based on the REACHES database which digitizes the Chinese records quoted in the Compendium of Meteorological Records of China in the Last 3000 Years. The reconstruction adopts an ordinal scale index approach ranging from -2 (very cold) to 1 (warm). Based on the grading criteria, a total of 12,871 records were retrieved through a standard coding system established at REACHES. Sensitivity experiments were performed to test robustness of the index system and a reasonability test was conducted to develop an appropriate method for deriving areal mean temperature index. The reconstructed series were validated through comparison with early instrumental data from Global Historical Climatology Network which shows good correlations and reliability of the REACHES reconstructed index data. Annual and semi-annual (winter and summer) temperature index data series were released for the whole domain as well as the 3- and 15-subregion geographical domains in China.

摘要

本研究报告了基于“过去三千年中国气象记录汇编”数字化引用的中国记录的REACHES数据库,重建1368 - 1911年中国异常温度指数序列的方法。该重建采用了从-2(非常寒冷)到1(温暖)的序数尺度指数方法。根据分级标准,通过REACHES建立的标准编码系统检索到总共12871条记录。进行了敏感性实验以测试指数系统的稳健性,并进行了合理性测试以开发一种推导区域平均温度指数的合适方法。通过与全球历史气候学网络的早期仪器数据进行比较,对重建序列进行了验证,结果表明REACHES重建指数数据具有良好的相关性和可靠性。发布了中国全域以及3个和15个子区域地理区域的年度和半年(冬季和夏季)温度指数数据系列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/8e3ddf3741e6/41597_2024_3937_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/6dc9c8d4d654/41597_2024_3937_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/8cd3684d46cd/41597_2024_3937_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/fb173f746ef0/41597_2024_3937_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/de7b20293fe1/41597_2024_3937_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/22d8c72a8648/41597_2024_3937_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/18b0776a2128/41597_2024_3937_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/951730fb5102/41597_2024_3937_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5bf/11467317/8e3ddf3741e6/41597_2024_3937_Fig10_HTML.jpg

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本文引用的文献

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Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era.公元纪年以来全球温度重建与模拟中持续数十年的多年代际变率。
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Construction of the REACHES climate database based on historical documents of China.基于中国历史文献构建 REACHES 气候数据库。
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