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Visible reflectance of Qinghai Lake sediments dataset (17KYrBP - present)
CTR :14
Key words Qinghai Lake, Visible reflectance
Relevant data Qinghai Lake is a large saline lake on the Qinghai-Tibetan Plateau of central Asia that is effected by both the Indian and Asian monsoons. We used reflectance spectroscopy to characterize the sediments in a 795-cm long core taken from the southeastern part of the lake. Sediment redness, which is related to iron oxide content, seems to monitor paleoclimatic changes in the core. Iron oxides appear to be eroded from nearby red beds or loess deposits and are transported by fluvial means into the lake. Thus, redness increases at times of increased precipitation, that is, as monsoon strength increases. Our redness monsoon proxy shows climate changes on several times scales. On a millennial scale, it records humid conditions during the Early and Mid-Holocene. From about 4200 to 2300 yr BP, low redness values suggest a two-millennial long dry period, which in the Late Holocene is followed by a more humid period. On a centennial scale, the redness proxy records not only the Little Ice Age, but also the Medieval Warm Period, the Dark Ages Cool Period and the Roman Warm Period. Time series analysis of the redness record indicates a 200 yr frequency, which corresponds to the de Vries solar cycle suggesting that, in addition to insolation changes resulting from orbital variations, solar forcing also results from cyclic changes in the sun’s luminosity.
Data shows that
a. Description of Intellectual Property Rights When using a dataset, please refer to the following documents in the article: Ji, J., J. Shen, W. Balsam, J. Chen, L. Liu, and X. Liu. 2005. Asian monsoon oscillations in the northeastern Qinghai-Tibet Plateau since the late glacial as interpreted from visible reflectance of Qinghai Lake sediments. Earth and Planetary Science Letters, Vol. 233, Issues 1-2, pp. 61-70, 30 April 2005. doi:10.1016/j.epsl.2005.02.025 b. The data labels refer to the following specifications: In order to respect intellectual property rights and protect the rights and interests of data contributors and service providers, data users are requested to mark the data sources in the research results (including project evaluation reports, acceptance reports, academic papers and graduation thesis) based on this data, and the references cited in the [Citation Reference], and submit the publicly available results to the "National Earth System Science Data Sharing Platform" Data sources refer to the following specifications: Chinese Expression: 国家科技基础条件平台-国家地球系统科学数据共享平台-东亚古环境科学数据库; English Expression: East Asian Paleoenvironmental Science Database, National Earth System Science Data Sharing Infrastructure, National Science & Technology Infrastructure of China Acknowledgments refer to the following specifications: Acknowledgments in Chinese: 感谢国家科技基础条件平台-国家地球系统科学数据共享平台-东亚古环境科学数据库提供数据支撑。 Acknowledgments in English: Acknowledgement for the data support from " National Earth System Science Data Sharing Infrastructure, National Science & Technology Infrastructure of China, East Asian Paleoenvironmental Science Database. " Iegal liability: The platform owns intellectual property rights protected by the law, including copyrights for all the data products or services and relevant information published by the platform itself or contributed by some data contributors. No unit or individual may copy, modify, transcribing, spread or sell any part of the above data products, services, information or materials in any way or reason without the written permission of this platform. Where the infringement of copyright and other intellectual property rights of the platform, the platform will be held accountable according to law, hereby solemnly declare! c. Contacts Name: Data processing group Email: eapsd@ieecas.cn Tel: 029-62336213
Data collection format Excel
Data classification Geological record - Lakes and oceans
Data source
http://www.ncdc.noaa.gov/paleo/study/8643
Related to download [Download attachments]
Contact card
Full name: 
ZhaoHL Email: zhaohl@ieecas.cn
Unit: IEECAS Phone: 029-62336213
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