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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 溫在弘 | zh_TW |
dc.contributor.advisor | Tzai-Hung Wen | en |
dc.contributor.author | 林有祥 | zh_TW |
dc.contributor.author | Yu-Hsiang Lin | en |
dc.date.accessioned | 2024-02-01T16:10:48Z | - |
dc.date.available | 2024-02-02 | - |
dc.date.copyright | 2024-02-01 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-01-26 | - |
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Past, 17(3), 1273-1314. https://doi.org/10.5194/cp-17-1273-2021 Neukom, R., del Rosario Prieto, M., Moyano, R., Luterbacher, J., Pfister, C., Villalba, R., Jones, P. D., & Wanner, H. (2009). An extended network of documentary data from South America and its potential for quantitative precipitation reconstructions back to the 16th century. Geophysical Research Letters, 36(12). https://doi.org/10.1029/2009gl038351 Neukom, R., Luterbacher, J., Villalba, R., Küttel, M., Frank, D., Jones, P. D., Grosjean, M., Wanner, H., Aravena, J. C., Black, D. E., Christie, D. A., D’Arrigo, R., Lara, A., Morales, M., Soliz-Gamboa, C., Srur, A., Urrutia, R., & von Gunten, L. (2010). Multiproxy summer and winter surface air temperature field reconstructions for southern South America covering the past centuries. Climate Dynamics, 37(1-2), 35-51. https://doi.org/10.1007/s00382-010-0793-3 Neukom, R., Nash, D. J., Endfield, G. H., Grab, S. W., Grove, C. A., Kelso, C., Vogel, C. H., & Zinke, J. (2013). Multi-proxy summer and winter precipitation reconstruction for southern Africa over the last 200 years. Climate Dynamics, 42(9-10), 2713-2726. https://doi.org/10.1007/s00382-013-1886-6 Nicholson, S. E., Klotter, D., & Dezfuli, A. K. (2012). Spatial reconstruction of semi-quantitative precipitation fields over Africa during the nineteenth century from documentary evidence and gauge data. Quaternary Research, 78(1), 13-23. NOAA. (2016). What Are Proxy Data? https://www.ncei.noaa.gov/news/what-are-proxy-data NOAA. (2020). Annual 2020 Global Climate Report. https://www.ncei.noaa.gov/access/monitoring/monthly-report/global/202013 Oster, J. L., Weisman, I. E., & Sharp, W. D. (2020). Multi-proxy stalagmite records from northern California reveal dynamic patterns of regional hydroclimate over the last glacial cycle. Quaternary Science Reviews, 241, 106411. PAGES2k. (2017). A global multiproxy database for temperature reconstructions of the Common Era. Sci Data, 4, 170088. https://doi.org/10.1038/sdata.2017.88 Pfister, C. (1984). Klimageschichte der schweiz 1525-1860. (No Title). Pfister, C. (2018). Evidence from the archives of societies: documentary evidence—overview. The Palgrave handbook of climate history, 37-47. Pfister, C., Brázdil, R., & Barriendos, M. (2002). Reconstructing past climate and natural disasters in Europe using documentary evidence. Pages News, 10(3), 6-8. Pfister, C., Luterbacher, J., & Wanner, H. (1999). Wetternachhersage: 500 Jahre Klimavariationen und Naturkatastrophen (1496-1995). P. Haupt. Prieto, M. d. R., & Rojas, F. (2015). Determination of droughts and high floods of the Bermejo River (Argentina) based on documentary evidence (17th to 20th century). Journal of Hydrology, 529, 676-683. Qian, W.-H., Chen, D., Zhu, Y., & Shen, H.-Y. (2003). Temporal and spatial variability of dryness/wetness in China during the last 530 years. Theoretical and Applied Climatology, 76, 13-29. Snyder, C. W. (2010). The value of paleoclimate research in our changing climate. Climatic Change, 100(3-4), 407-418. https://doi.org/10.1007/s10584-010-9842-5 Tao, S., & Kaiser, D. (1991). Two long-term instrumental climatic data bases of the People''s Republic of China. Oak Ridge National Laboratory. Thompson, D. M. (2021). Environmental records from coral skeletons: A decade of novel insights and innovation. WIREs Climate Change, 13(1). https://doi.org/10.1002/wcc.745 Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic geography, 46(sup1), 234-240. Wang, P. K., Lin, K.-H. E., Lin, Y.-S., Lin, H.-J., & Pai, P.-L. (2023). Reconstruction of the Temperature Index Series of China in 1368-1911 based on REACHES database. Wang, P. K., Lin, K. E., Liao, Y. C., Liao, H. M., Lin, Y. S., Hsu, C. T., Hsu, S. M., Wan, C. W., Lee, S. Y., Fan, I. C., Tan, P. H., & Ting, T. T. (2018). Construction of the REACHES climate database based on historical documents of China. 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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91577 | - |
dc.description.abstract | 隨著近年來的氣候暖化,氣候變遷的議題逐漸受到人們重視;在氣候變遷的研究中,利用長期的氣候資料並從長期氣候的變化趨勢中,可以協助研究者瞭解影響整體氣候尺度的物理、化學因子,進而了解未來氣候可能的樣態與變化。
觀測氣候資料的時間長度僅包含近150年,且早期觀測資料的數量十分稀疏;對於研究長期的氣候變遷而言時間長度並不足夠。為了得到更長期的氣候資料,研究者從各式各樣的歷史紀錄中尋找關於與氣候相關的紀錄,藉此推測過往可能的氣候狀況,其中文獻資料由於其時空解析度以及空間覆蓋度,更適合了解氣候變遷對經濟和社會的短期和局部影響,因此成為常用的氣候資料來源。 文獻資料透過文獻中關於氣候的相關敘述,將其轉化為不同的量化指數使研究者得以進行後續的分析,例如本研究所使用的REACHES資料庫,便是透過將歷史文獻中與氣候相關的文獻紀錄,按照不同降水、溫度指數的定義標準進行定義,藉此將質化資料轉化為量化資料。由於文獻氣候資料與觀測氣候資料的格式、空間位置具有相當差異,過往的研究者透過各種不同的方式,定義、尋找觀測氣候資料與文獻氣候資料之間的關聯性,從而將兩筆氣候資料進行整合。 本研究認為相較於定義兩筆氣候資料之間的關聯性,透過觀測氣候資料與文獻氣候資料之間的共同特徵進行比對,藉此尋找觀測氣候資料與文獻氣候資料之間的關聯性較為合適。因此,本研究透過環域的方式進行處理,假定與觀測氣候測站距離相近的文獻紀錄可以反應該測站該年度的降水狀況,並假定偏濕的文獻紀錄所描述的是年間月降水量偏多的月份、偏乾的文獻紀錄所描述的是年間月降水量偏少的月份。 研究結果則顯示在不同的氣候區中,相同降水指數的文獻紀錄所描述的降水狀況具有相當的差異,顯示在不同氣候區中觀測氣候資料與文獻紀錄的關聯性並不相同;此外,在不同氣候區中,紀錄者對於氣候的感知具有差異,文獻紀錄所反應的降水狀況與沒有紀錄時的降水狀況亦具有不同的關聯性;具體而言,氣候變化較明顯的氣候區,紀錄者對於降水狀況的認知更為敏感,具有文獻紀錄時的降水狀況更能反應出降水差異。 基於本研究的比對研究結果,不同氣候區之間文獻紀錄與觀測氣候資料之間具有不同的關聯性;進行氣候資料的整合時,必須將上述的關聯性納入考慮。 關鍵字:歷史氣候、資料比對、降水、氣候重建 | zh_TW |
dc.description.abstract | In climate change research, the utilization of long-term climate data aids researchers in understanding the physical and chemical factors that influence the overall climate scale. Observed climate data spans approximately 150 years. Consequently, researchers utilize various "proxy data" to search historical records to infer past climate conditions. To comprehend the short-term and local impacts of climate change on the economy and society, literature data proves more suitable than other natural proxy data. Literature records are transformed into different quantitative indices through relevant descriptions. Researchers have employed various methods to define and seek correlations between observational and literature climate data to integrate the two sets of climate data.
This study assumes that literature records in close proximity to observational climate stations can accurately reflect the annual precipitation conditions of the station in that particular year. It also assumes that records describing wet conditions correspond to months with higher-than-average monthly precipitation, as do records describing dry conditions. The study results indicate that literature records describing precipitation conditions for the same precipitation index vary significantly across different climate zones. This indicates that the correlation between observational climate data and literature records varies in different climate zones. Additionally, in different climate zones, recorders'' perceptions of climate differ, and the correlation between precipitation conditions reflected in literature records and actual precipitation conditions without records is also different. Specifically, in climate zones experiencing more obvious climate changes, recorders demonstrate greater sensitivity to precipitation conditions, and literature records more accurately reflect precipitation differences. This study finds that there are different correlations between literature records and observational climate data in different climate zones. It is necessary to consider these correlations when integrating climate data. Keywords: Historical climate, data comparison, precipitation, climate reconstruction | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-01T16:10:48Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-02-01T16:10:48Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 目錄
第一章 研究動機與目的 1 第一節 研究動機 1 第二節 研究目的 9 第二章 文獻回顧 11 第一節 透過Z分數定義的整合方法 15 第二節 透過兩筆資料重疊時期進行整合的方法 18 第三節 透過物候進行整合的方法 20 第四節 小結 22 第三章 研究流程與方法 24 第一節 研究資料 24 第二節 文獻氣候資料的特性 26 第三節 本研究使用的文獻資料 29 第四節 本研究使用的觀測資料 31 第五節 氣候分區 32 第六節 研究架構 37 第七節 研究方法 40 第四章 研究成果 45 第一節 資料處理 45 第二節 環域分析 49 第三節 各降水指數的紀錄所對應的降水狀況 51 第四節 不同氣候區中,各降水指數的紀錄所對應的月降水分佈 54 第五節 降水指數描述的月降水量分佈與長期月降水量分佈的差異 64 第六節 降水指數對應月降水量的敏感度分析 69 第五章 討論 73 第一節 不同氣候區域下降水指數對應的月降水分佈 73 第二節 降水指數對應的月降水分佈與長期氣候的差異 76 第三節 研究限制與未來方向 82 第六章 結論 84 參考文獻 87 | - |
dc.language.iso | zh_TW | - |
dc.title | 早期觀測資料與歷史文獻重建資料之時空比對分析: 以 19 世紀中葉後中國不同氣候分區的降水資料為例 | zh_TW |
dc.title | Matching Early Instrumental and Documentary Reconstructed Climate Data in Time and Space: An Analysis of Precipitation Data in Different Climate Zones of China in the mid-19th Century Onward | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 莊振義;林冠慧 | zh_TW |
dc.contributor.oralexamcommittee | Jehn-Yih Juang;Kuan-hui Elaine Lin | en |
dc.subject.keyword | 歷史氣候,資料比對,降水,氣候重建, | zh_TW |
dc.subject.keyword | Historical climate,data comparison,precipitation,climate reconstruction, | en |
dc.relation.page | 91 | - |
dc.identifier.doi | 10.6342/NTU202400196 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-01-30 | - |
dc.contributor.author-college | 理學院 | - |
dc.contributor.author-dept | 地理環境資源學系 | - |
dc.date.embargo-lift | 2029-01-24 | - |
顯示於系所單位: | 地理環境資源學系 |
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