Quantitative reconstruction of Holocene precipitation over Qinghai Tibet Plateau Based on sporopollen data- A Big Earth Data Platform for Three Poles

The surface palynological data in this dataset are from the East Asian palynological database（ http://eapd.sysu.edu.cn/database/ And the surface pollen data of the northeastern margin of the Qinghai Tibet Plateau. The precipitation data of surface soil palynological points were obtained from the annual average precipitation data of 126 meteorological stations in the Qinghai Tibet Plateau and its surrounding areas (Xinjiang, Gansu, Sichuan) from 1950 to 1980 (the data came from China Meteorological Science Data Sharing Service Network) http://www.data.ac.cn/xiazai/ ）Because topography has a great impact on climate change, Therefore, in ArcGIS, the uneven distribution of annual precipitation data of meteorological stations is transformed into grid data on the surface of the Qinghai Tibet Plateau by Kriging spatial interpolation method, and the precipitation grid data of the surface palynological point can be regarded as the actual precipitation data of the point. By using the method of transformation function, the representative surface palynological types are selected, and the linear regression between them and modern climate is established. The fossil Palynological Assemblages are substituted into the regression equation to obtain paleoclimate parameters. Using the modern analogy method (MAT), assuming that the relationship between vegetation types and climate in the past is corresponding, we can compare the sporopollen spectrum of the strata indicating vegetation types with that of the present representative soil to reveal the similarity between them. Then we can get the corresponding precipitation data of the strata sporopollen by matrix operation with the modern precipitation data of the corresponding points.

File naming and required software

The data set is stored in Excel format, and contains 14 worksheets, which are the precipitation simulation values in mat, the precipitation simulation values in wapls, the Eastern Integrated precipitation sequence cumulative anomaly, the Eastern Integrated precipitation sequence, the western integrated precipitation sequence cumulative anomaly, the western integrated precipitation sequence, the TOC content of Lake stagger, the oxygen isotope of golingco shell, the TOC content of pumoyongco, the TOC content of Qinghai Lake, the TOC content of Qinghai Lake The core 08-c1 in the north of Zoige, the integrated sequence of precipitation in Zoige, the integrated sequence of precipitation in taruocuo, and the oxygen isotope in Tianmen cave. There are precipitation observation values and precipitation simulation values in mat and wapls; There are years and precipitation data in the worksheets of Eastern precipitation integration series and Western precipitation integration series; There are years and accumulated anomaly data in the worksheets of accumulated anomaly line of integrated precipitation series in the East and accumulated anomaly line of integrated precipitation series in the West; The TOC content in the working tables of Damen lake, pumoyongcuo lake and Qinghai Lake are the percentages of depth and TOC; The chronological and oxygen isotopic data are shown in the oxygen isotopic tables of gelingcuo shell and Tianmen cave; The data of 08-c1 well in the north of Zoige are age and vegetation coverage; There are years and precipitation data in taruo co precipitation integrated series worksheet and Zoige precipitation integrated series worksheet. Data files can be opened with office software or imported into relational database system.

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Hou, G. (2021). Quantitative reconstruction of Holocene precipitation over Qinghai Tibet Plateau Based on sporopollen data. A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

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References literature

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Support Program

Qinghai Provincial Key Laboratory of Geospatial Information Technology and Application Foundation Project (No:2018-006)

National Natural Science Foundation of China, No.41761018 (No:41761018)

Natural Science Foundation Project of Qinghai Provincial Science and Technology Department (No:2017-ZJ-903)

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