Rudaya, Natalia; Nazarova, Larisa B; Frolova, Larisa A; Palagushkina, Olga V; Soenov, Vasiliy; Cao, Xianyong; Syrykh, Luidmila S; Grekov, Ivan; Otgonbayar, Demberel; Bayarkhuu, Batbayar (2023): Reconstruction of the amount of annual precipitation (PANN; mm/year) for Lake Bayan Nuur [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.953303, In: Rudaya, N et al. (2023): The link between climate change and biodiversity of lacustrine inhabitants and terrestrial plant communities of the Uvs Nuur Basin (Mongolia) during the last three millennia [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.953309
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Abstract:
The modern pollen data from arid central Asia (Bordon et al., 2009, doi:10.1016/j.quaint.2008.05.014) and our newly completed modern pollen data from southwest Siberia (unpublished) was homogenized and combined into the modern pollen dataset (Cao et al., 2014, doi:10.1016/j.revpalbo.2014.08.007). In this study, the 808 modern pollen sites 1000-km around Bayan Nuur were selected to establish pollen-climate calibration-sets. PANN was selected as the target climatic variable for past climate 206 reconstruction. The model performance of cross-validation for the pollen-PANN calibration-set has high R2 (0.79) and low RMSEP (71 mm). A quantitative PANN reconstruction was performed using the WAPLS function in rioja package version 0.7-3 (Juggins, 2012) for R with square-root transformed pollen data.
Further details:
Juggins, Stephen: Rioja: analysis of Quaternary Science Data version 0.7-3 (access date 04.10.20). https://cran.r-project.org/web/packages/rioja/index.html
Funding:
Russian scientific foundation (RSF), grant/award no. 20-17-00110: Holocene climate variability and biodiversity changes in the Altai Mountains based on the study of high-resolution lacustrine records
Coverage:
Latitude: 50.010720 * Longitude: 93.974500
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | AGE | Age | ka BP | Rudaya, Natalia | Geocode | |
| 2 | Precipitation, annual total | Precip annual total | mm/a | Rudaya, Natalia | see description in data abstract |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
94 data points
Data
| 1 Age [ka BP] | 2 Precip annual total [mm/a] |
|---|---|
| -46.0000 | 310.8858591 |
| -16.0000 | 288.7231670 |
| 14.0000 | 329.7008810 |
| 79.0000 | 301.4144166 |
| 109.0000 | 308.1022294 |
| 140.0000 | 310.1419933 |
| 174.0000 | 307.5606258 |
| 208.0000 | 295.2235443 |
| 270.0000 | 302.0787666 |
| 304.0000 | 310.3360913 |
| 338.0000 | 313.6068444 |
| 369.0000 | 308.2514052 |
| 400.0000 | 303.7621868 |
| 469.0000 | 294.3803041 |
| 497.0000 | 322.3895134 |
| 525.0000 | 318.5788276 |
| 549.0000 | 299.1523514 |
| 572.0000 | 292.2703422 |
| 622.0000 | 279.5608497 |
| 647.0000 | 300.8766402 |
| 672.0000 | 285.6116111 |
| 697.0000 | 283.5619518 |
| 723.0000 | 259.8771741 |
| 774.0000 | 285.0429552 |
| 798.0000 | 265.0634697 |
| 822.0000 | 290.8267817 |
| 847.0000 | 276.4565870 |
| 871.0000 | 299.8173954 |
| 909.0000 | 278.0875970 |
| 928.0000 | 262.6363389 |
| 946.0000 | 281.3825768 |
| 965.0000 | 275.9125614 |
| 984.0000 | 267.5933147 |
| 1020.0000 | 281.2541024 |
| 1038.0000 | 302.8217802 |
| 1056.0000 | 281.9590314 |
| 1074.0000 | 292.1670255 |
| 1092.0000 | 276.8904017 |
| 1128.0000 | 286.5096506 |
| 1146.0000 | 262.0018911 |
| 1164.0000 | 267.8018699 |
| 1182.0000 | 312.6438103 |
| 1200.0000 | 251.5633264 |
| 1236.0000 | 301.9310755 |
| 1254.0000 | 293.6796835 |
| 1273.0000 | 274.0456288 |
| 1291.0000 | 278.6018776 |
| 1310.0000 | 296.0622992 |
| 1345.0000 | 259.3820586 |
| 1363.0000 | 277.6709244 |
| 1381.0000 | 296.1732821 |
| 1399.0000 | 286.9113812 |
| 1417.0000 | 267.8320678 |
| 1453.0000 | 282.4014972 |
| 1470.0000 | 275.3680237 |
| 1489.0000 | 259.4968401 |
| 1513.0000 | 282.4306575 |
| 1538.0000 | 286.5998338 |
| 1599.0000 | 277.9837112 |
| 1630.0000 | 281.0027812 |
| 1660.0000 | 284.8322705 |
| 1692.0000 | 258.5031761 |
| 1723.0000 | 277.9236087 |
| 1787.0000 | 241.8653154 |
| 1818.0000 | 272.5672288 |
| 1848.0000 | 279.6583796 |
| 1880.0000 | 290.1987376 |
| 1911.0000 | 307.4455326 |
| 1974.0000 | 294.9295385 |
| 2006.0000 | 270.2198733 |
| 2037.0000 | 303.6328703 |
| 2067.0000 | 280.1492696 |
| 2097.0000 | 259.6310818 |
| 2160.0000 | 290.4894600 |
| 2192.0000 | 275.2616275 |
| 2223.0000 | 280.3952825 |
| 2254.0000 | 300.7196596 |
| 2286.0000 | 301.2420907 |
| 2348.0000 | 300.5079958 |
| 2378.0000 | 294.5610209 |
| 2408.0000 | 273.0495668 |
| 2437.0000 | 282.2598596 |
| 2467.0000 | 297.2084683 |
| 2530.0000 | 287.0051114 |
| 2562.0000 | 279.5588054 |
| 2594.0000 | 289.2135143 |
| 2624.0000 | 294.7908368 |
| 2655.0000 | 287.5483724 |
| 2718.0000 | 275.5354003 |
| 2748.0000 | 298.9756867 |
| 2780.0000 | 302.3814161 |
| 2808.0000 | 264.4167906 |
| 2837.0000 | 282.0143635 |
| 2885.0000 | 283.0226483 |