# Bangong Co, Tibetan Plateau, China 16,000 Year Fatty Acid Hydrogen Isotope Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/32033 # Description: NOAA Landing Page # Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/asia/china/bangong2017.txt # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Data Type: Paleolimnology # # Dataset DOI: # # Parameter_Keywords: hydrogen isotopes, geochemistry #-------------------- # Contribution_Date # Date: 2020-12-11 #-------------------- # File_Last_Modified_Date # Date: 2020-12-11 #-------------------- # Title # Study_Name: Bangong Co, Tibetan Plateau, China 16,000 Year Fatty Acid Hydrogen Isotope Data #-------------------- # Investigators # Investigators: Hou, J.; D'Andrea, W.J.; Wang, M.; He, Y.; Liang, J. #-------------------- # Description_Notes_and_Keywords # Description: Fatty acid hydrogen isotope data from sediments collected in Bangong Co, Tibet, for the past 16,000 years. # Provided Keywords: geochemistry, biomarkers, isotope, monsoon #-------------------- # Publication # Authors: Juzhi Hou, William J. D'Andrea, Mingda Wang, Yue He, Jie Liang # Published_Date_or_Year: 2017-05-01 # Published_Title: Influence of the Indian monsoon and the subtropical jet on climate change on the Tibetan Plateau since the late Pleistocene # Journal_Name: Quaternary Science Reviews # Volume: 163 # Edition: # Issue: # Pages: 84-94 # Report_Number: # DOI: 10.1016/j.quascirev.2017.03.013 # Online_Resource: https://www.sciencedirect.com/science/article/abs/pii/S0277379117302354 # Full_Citation: # Abstract: Precipitation atop the Tibetan Plateau (TP) is delivered by the Indian summer monsoon, the Asian summer monsoon, and weather systems associated with the subtropical westerly jet. Variations in the relative importance of the monsoon systems and the westerly jet are hypothesized to have occurred at decadal, millennial and glacial-interglacial scales. However, paleoclimate observations based on explicit climate proxies are still scarce, limiting our understanding of the mechanisms of Holocene climate variability on the Tibetan Plateau (TP). Here we present three independently dated compound specific hydrogen isotope records of sedimentary leaf waxes from lakes on the TP, Bangong Co, Lake Qinghai and Linggo Co. The leaf wax dD records reflect isotopes in precipitation, and we combine these observations with existing isotopic and hydrological data to investigate variations in the influence of the summer monsoon and the westerly jet on the moisture budget of the TP since the Late Pleistocene. dD values of precipitation at all three lakes were relatively positive during the Late Pleistocene indicating a weakened summer monsoon. During the early and mid-Holocene, dD values of precipitation at the three lakes were relatively negative, suggesting the importance of summer monsoon. During the middle to late Holocene, dD values at Bangong Co and Lake Qinghai gradually increased with superimposed episodes of short term of dD variability. However, at Linggo Co in the northern TP, periods of more positive dD values of precipitation correspond to wetter intervals inferred from lake level high stands, and likely reflect variations in moisture associated with the westerly jet. Thus, the dD records at Linggo Co imply the lesser importance of summer monsoon moisture in the hydrologic budget of the northern TP. Collectively, the hydrogen isotope records at these three lakes document millennial and centennial scale variations in the strength of the summer monsoon systems and concurrent changes in the westerly jet. Furthermore, millennial-scale fluctuations in the dD records at the three lakes during the middle to late Holocene suggest episodes of reduced summer monsoonal moisture delivery to these regions, and correspond with intervals of cool sea surface temperatures in the North Atlantic. #------------------ # Funding_Agency # Funding_Agency_Name: Strategic Priority Research Program (B) of the Chinese Academy of Sciences # Grant: XDB01020300 #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41230523, 41072120 #------------------ # Funding_Agency # Funding_Agency_Name: Ministry of Science and Technology in China # Grant: 2012CB956100 #------------------ # Site_Information # Site_Name: Bangong Co # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 33.7 # Southernmost_Latitude: 33.7 # Easternmost_Longitude: 79.17 # Westernmost_Longitude: 79.17 # Elevation: 4244 #------------------ # Data_Collection # Collection_Name: BangongCoBGC2011-1d2H # Earliest_Year: 15642 # Most_Recent_Year: -65 # Time_Unit: Cal. Year BP # Core_Length: 6.96 # Notes: #------------------ # Chronology_Information # Chronology: # Sample ID Lab ID Depth(cm) Material Measured Radiocarbon Age (14C yr BP) error 13C/12C Ratio(‰) Conventional Age (14C yr BP) error reservoir-corrected Age(14C yr BP) Calibrated age (BP) Relative area Probility Age (cal yr BP) error # BGC2011-D8 Beta-356602 38 Plant 5520 40 -10 5770 40 893 731~916 1.00 2 sigma 824 93 # BGC2011-D8 Beta-357846 38 TOC 5890 30 -22.1 5940 30 1063 932~981 0.97 1 sigma 957 25 # BGC2011-D10 Beta-356604 137 TOC 7190 30 -24.5 7200 30 2323 2331~2354 1.00 1 sigma 2343 12 # BGC2011-D12 Beta-356606 262 TOC 9850 40 -23.7 9870 40 4993 5656~5749 0.91 1 sigma 5703 47 # BGC2011-D14 Beta-356608 359 TOC 11180 40 -26.2 11160 40 6283 7156~7311 0.98 2 sigma 7234 78 # BGC2011-D16 Beta-356610 464 TOC 13710 60 -25.5 13700 60 8823 9675~10167 1.00 2 sigma 9921 246 # BGC2011-D17 Beta-356611 514 Plant 15780 80 10903 12705~12840 1.00 1 sigma 12773 68 # BGC2011-D17 Beta-357847 514 TOC 15120 50 -24.4 15130 50 10253 11764~12167 0.99 2 sigma 11966 202 # BGC2011-D18 Beta-356612 564 TOC 15890 60 -23 15920 60 11043 12822~12992 1.00 1 sigma 12907 85 # BGC2011-D20 Beta-356614 653 TOC 18280 70 -22.1 18330 70 13453 16074~16296 1.00 1 sigma 16185 111 # BGC2011-D21 Beta-356615 693 Plant 18000 80 -5.4 18320 80 13443 16052~16295 1.00 1 sigma 16174 122 # BGC2011-D21 Beta-357848 693 TOC 17760 70 -16.6 17900 70 13023 15441~15733 1.00 1 sigma 15587 146 # BGC2011-D1 BA120302 99 TOC 6920 40 2043 1945~2057 0.99 1 sigma 2001 56 # BGC2011-D2 BA120303 199 TOC 9035 35 4158 4576~4772 0.80 2 sigma 4674 98 # BGC2011-D3 BA120304 310 TOC 10545 35 5668 6410~6478 1.00 1 sigma 6444 34 # BGC2011-D4 BA120305 410 TOC 12920 40 8043 8763~9031 1.00 2 sigma 8897 134 # BGC2011-D5 BA120306 510 TOC 15220 60 10343 11957~12418 1.00 2 sigma 12188 231 # BGC2011-D6 BA120307 614 TOC 17350 50 12473 14441~14863 1.00 1 sigma 14652 211 # BGC2011-D7 BA120308 694 Plant 18245 50 13368 15995~16185 1.00 1 sigma 16090 95 # # #---------------- # Variables # # Data variables follow are preceded by "##" in columns one and two. # Data line variables format: one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) # ## Sample sample identification,,,,,paleolimnology,,,C, ## depth depth, , , centimeter, , paleolimnology, , ,N, ## age age, , , calendar year before present, , paleolimnology, , ,N, ## d2HC26 delta 2H, C26 n-alkanoic acid, , per mil, ,paleolimnology,,isotope ratio mass spectrometry,N, ## d2HC28 delta 2H, C28 n-alkanoic acid, , per mil, ,paleolimnology,,isotope ratio mass spectrometry,N, ## d2HC30 delta 2H, C30 n-alkanoic acid, , per mil, ,paleolimnology,,isotope ratio mass spectrometry,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # Sample depth age d2HC26 d2HC28 d2HC30 BGC-1 1 -65 -155 -147 -177 BGC-2 6 53 -150 -149 -158 BGC-3 11 171 -152 -148 -170 BGC-4 16 289 -157 -149 -152 BGC-5 21 408 -154 -150 -140 BGC-6 26 526 -152 -147 -170 BGC-7 31 644 -154 -148 -140 BGC-8 36 762 -142 -138 -153 BGC-9 41 880 -127 -118 -126 BGC-10 46 998 -120 -129 -156 BGC-11 51 1116 -128 -129 -114 BGC-12 56 1234 -132 -134 BGC-13 61 1352 -132 -135 -162 BGC-14 66 1470 -147 -151 BGC-15 71 1589 -194 -195 -207 BGC-16 76 1707 -204 -205 -221 BGC-17 81 1825 -182 -180 -198 BGC-18 86 1943 -181 -174 -190 BGC-19 91 2061 -174 -173 -181 BGC-20 96 2179 -171 -170 -143 BGC-21 101 2297 -179 -176 -145 BGC-22 106 2415 -181 -179 -165 BGC-23 111 2533 -184 -177 -150 BGC-24 116 2651 -189 -187 -163 BGC-25 121 2770 -192 -192 -178 BGC-26 126 2888 -198 -201 -186 BGC-27 131 3006 -207 -211 -205 BGC-28 136 3124 -208 -219 -212 BGC-29 141 3242 -196 -197 -183 BGC-30 146 3360 -185 -187 -180 BGC-31 151 3478 -190 -187 -157 BGC-32 156 3596 -194 -198 -195 BGC-33 161 3714 -185 -191 -183 BGC-34 166 3832 -184 -191 -193 BGC-35 171 3951 -193 -202 -206 BGC-36 176 4069 -209 -215 -210 BGC-37 181 4187 -212 -216 -207 BGC-38 186 4305 -208 -210 -205 BGC-39 191 4423 -205 -218 -213 BGC-40 196 4541 -215 -218 -222 BGC-41 201 4659 -211 -213 -217 BGC-42 206 4777 -216 -219 BGC-43 211 4895 -212 -216 BGC-44 216 5013 -200 -218 -189 BGC-45 221 5132 -206 -207 -186 BGC-46 226 5250 -205 -211 -193 BGC-47 231 5368 -214 -211 -216 BGC-48 236 5486 -203 -208 -195 BGC-49 241 5604 -209 -216 -204 BGC-50 246 5722 -214 -217 -225 BGC-51 251 5840 -212 -220 -216 BGC-52 256 5958 -215 -216 -207 BGC-53 261 6076 -207 -207 -171 BGC-54 266 6194 -213 -209 BGC-55 271 6313 -214 -220 -228 BGC-56 276 6431 -213 -217 -215 BGC-57 281 6549 -215 -216 -197 BGC-58 286 6667 -213 -210 -212 BGC-138 291 6691 -207 -213 -202 BGC-143 296 6809 -214 -215 BGC-148 301 6927 -212 -220 -213 BGC-59 302 7045 -215 -215 -218 BGC-60 307 7163 -208 -215 -211 BGC-61 312 7281 -211 -212 -205 BGC-62 317 7399 -214 -213 -177 BGC-63 322 7517 -215 -215 -211 BGC-64 327 7635 -214 -219 -211 BGC-65 332 7753 -209 -208 -188 BGC-66 337 7872 -207 -202 -217 BGC-67 342 7990 -208 -204 -221 BGC-68 347 8108 -212 -197 -217 BGC-69 352 8226 -209 -199 -219 BGC-70 357 8344 -179 -197 -223 BGC-71 362 8462 -190 -196 -219 BGC-72 367 8580 -206 -200 -211 BGC-73 372 8698 -193 -193 -219 BGC-74 377 8816 -171 -204 -232 BGC-75 382 8934 -184 -211 -231 BGC-76 387 9053 -207 -213 BGC-77 392 9171 -205 -213 -224 BGC-78 397 9289 -207 -202 -228 BGC-79 402 9407 -205 -202 -222 BGC-80 407 9525 -212 -207 -227 BGC-81 412 9643 -204 -213 -220 BGC-82 417 9761 -212 -214 -220 BGC-83 422 9879 -204 -211 -219 BGC-84 427 9997 -211 -214 -221 BGC-85 432 10115 -208 -215 -223 BGC-86 437 10234 -213 -219 -215 BGC-87 442 10352 -215 -215 -231 BGC-88 447 10470 -219 -202 -179 BGC-89 452 10588 -216 -213 -246 BGC-90 457 10706 -213 -212 -217 BGC-91 462 10824 -211 -218 -191 BGC-92 467 10942 -211 -222 -221 BGC-93 472 11060 -212 -210 -221 BGC-94 477 11178 -210 -201 -213 BGC-95 482 11296 -217 -213 -230 BGC-96 487 11415 -220 -206 -223 BGC-97 492 11533 -208 -213 -226 BGC-98 497 11651 -204 -199 -198 BGC-99 502 11769 -203 -212 -215 BGC-100 507 11887 -203 -211 -218 BGC-101 512 12005 -201 -200 -212 BGC-102 517 12123 -199 -198 -203 BGC-103 522 12241 -200 -203 -206 BGC-104 527 12359 -196 -203 -177 BGC-105 532 12477 -195 -196 -160 BGC-106 537 12596 -191 -190 -155 BGC-107 542 12714 -176 -174 -193 BGC-108 547 12832 -163 -163 -155 BGC-109 552 12950 -147 -151 -157 BGC-110 557 13068 -149 -162 -150 BGC-111 562 13186 -152 -162 -151 BGC-112 567 13304 -148 -159 -167 BGC-113 572 13422 -145 -159 -173 BGC-114 577 13635 -150 -167 -159 BGC-115 582 13753 -147 -156 -164 BGC-116 587 13871 -148 -162 -152 BGC-117 596 13989 -166 -171 -168 BGC-118 601 14107 -158 -160 -158 BGC-119 606 14225 -160 -164 -156 BGC-120 611 14343 -166 -183 -189 BGC-121 616 14461 -175 -182 -180 BGC-122 621 14580 -166 -179 -171 BGC-123 626 14698 -166 -172 -171 BGC-124 631 14816 -160 -165 -177 BGC-125 636 14934 -161 -164 -165 BGC-126 641 15052 -166 -170 -166 BGC-127 646 15170 -116 -121 -138 BGC-128 651 15288 -121 -123 -119 BGC-129 656 15406 -119 -110 -121 BGC-130 661 15524 -120 -116 -144 BGC-131 666 15642 -145 -154 -146 BGC-132 671 -145 -152 -132 BGC-133 676 -146 -144 BGC-134 681 -145 -152 -171 BGC-135 686 -207 -203 -196 BGC-136 691 -206 -207 -215 BGC-137 696 -207 -206 -206