# Huangyanghe, Western China Holocene Loess Grain Size and Geochemical 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/22030 # Description: # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/loess/china/huangyanghe-a2015gs.txt # Description: # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Loess # # Dataset DOI: # # Parameter_Keywords: geochemistry, physical properties #-------------------- # Contribution_Date # Date: 2017-03-13 #-------------------- # File_Last_Modified_Date # Date: 2017-04-28 #-------------------- # Title # Study_Name: Huangyanghe, Western China Holocene Loess Grain Size and Geochemical Data #-------------------- # Investigators # Investigators: Li, Y.; Morrill, C. #-------------------- # Description_Notes_and_Keywords # Description: Geochemical and grain size data from eolian sediments collected in 2 sections from Huangyanghe, # Wuwei City, Gansu Province, Western China. Holocene Asian winter monsoon indicator: 20-200 um for HYH-a section, # and 20-159 um for HYH-b section. # Table 1. Grain size data in the HYH-a section # Provided Keywords: East Asian winter monsoon; Holocene; Climate simulations; The Gobi Desert; Eolian sediments; Grain-size; Total organic carbon; Magnetic susceptibility; Carbonate content #-------------------- # Publication # Authors: Yu Li, Carrie Morrill # Published_Date_or_Year: 2015-09-15 # Published_Title: A Holocene East Asian winter monsoon record at the southern edge of the Gobi Desert and its comparison with a transient simulation # Journal_Name: Climate Dynamics # Volume: 45 # Edition: # Issue: 5 # Pages: 1219-1234 # Report_Number: # DOI: 10.1007/s00382-014-2372-5 # Online_Resource: http://link.springer.com/article/10.1007/s00382-014-2372-5 # Full_Citation: # Abstract: The East Asian winter monsoon (EAWM) exhibits significant variability on intraseasonal, interannual, and interdecadal time scales and the variability can be extended to Holocene centennial and millennial scales. Previous Holocene EAWM proxy data records, which were mostly located in Central, Eastern and Southern China, did not show a consistent Holocene EAWM history. Therefore, it is difficult to provide insights into mechanisms of the long-term winter monsoon variability on the basis of the records. Eolian sediments at the southern edge of the Gobi Desert, Western China, are sensitive to the EAWM changes and less affected by the East Asian summer monsoon due to an obstruction of the Qinghai-Tibet Plateau. This paper presents a comparison between a well-dated Holocene EAWM record and coupled climate model simulations, so as to explore physical processes and influencing factors of the Holocene EAWM. Sediment samples from two Holocene eolian sedimentary sections [Huangyanghe (a) and Huangyanghe (b)] were acquired at the southern edge of the Gobi Desert. Chronologies were established based on twenty bulk organic matter AMS 14C ages and five pollen concentrates AMS 14C ages. Proxy data, including grain-size, total organic carbon, magnetic susceptibility and carbonate content were obtained from the two eolian sections. The grain-size standard deviation model was applied to determine components sensitive to variability of the Holocene EAWM. After a comparison of environmentally-sensitive grain-size components and proxy data, the 20-200 um component at the Huangyanghe (a) and the 20-159 um component at the Huangyanghe (b) section were selected as indicators of the Holocene EAWM, which show a strong early Holocene winter monsoon and a decline of the winter monsoon since the mid-Holocene. We also present equilibrium and transient simulations of the climate evolution for the Holocene using a state-of-art coupled climate model: the Community Climate System Model version 3 (CCSM3). Indices for the Holocene EAWM were calculated and are consistent with the reconstructed Holocene EAWM intensity. The simulations indicate that orbital forcing effects on the land-sea temperature and sea level pressure contrast can account for the observed EAWM trends. Other forcings that were present in the early Holocene, including the remnant Laurentide ice sheet and meltwater forcing in the North Atlantic, were not responsible for the Holocene trends. #------------------ # Funding_Agency # Funding_Agency_Name: National Natural Science Foundation of China # Grant: 41371009 #------------------ # Site_Information # Site_Name: Huangyanghe # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 37.4167 # Southernmost_Latitude: 37.4167 # Easternmost_Longitude: 102.6 # Westernmost_Longitude: 102.6 # Elevation: 2447 m #------------------ # Data_Collection # Collection_Name: Huangyanghe-a2015GS # Earliest_Year: 13583 # Most_Recent_Year: 0 # Time_Unit: Cal. Year BP # Core_Length: m # Notes: #------------------ # Chronology_Information # Chronology: # Table 1 # AMS 14C ages for the Huangyanghe (a) and Huangyanghe (b) sections # # Laboratory number Depth (cm) Dating materials 14C age (yr BP) Calibrated 14C age (2sigma) (cal yr BP) # Huangyanghe (a) # BA121247 100 Organic matter "1,165 +/- 25" "1,085 (988-1,172)" # BA111241 152.5 Organic matter "1,970 +/- 25" "1,919 (1,873-1,988)" # BA121244 176 Organic matter "3,395 +/- 25" "3,644 (3,576-3,696)" # BA101282 202.5 Pollen concentrates "5,540 +/- 25" "6,337 (6,291-6,398)" # BA121245 226 Organic matter "7,235 +/- 35" "8,048 (7,975-8,160)" # BA121246 250 Organic matter "8,365 +/- 40" "9,397 (9,289-9,477)" # BA101283 275 Pollen concentrates "10,780 +/- 40" "12,661 (12,570-12,791)" # BA121243 300 Organic matter "9,820 +/- 45" "11,231 (11,179-11,307)" # Huangyanghe (b) # BA101276 67.5 Pollen concentrates "3,505 +/- 25" "3,773 (3,698-3,844)" # BA121260 90 Organic matter "4,600 +/- 35" "5,322 (5,072-5,462)" # BA121259 100 Organic matter "4,765 +/- 25" "5,522 (5,337-5,587)" # BA111239 112.5 Organic matter "6,095 +/- 30" "6,963 (6,809-7,155)" # BA121255 130 Organic matter "7,435 +/- 35" "8,263 (8,184-8,341)" # BA121256 140 Organic matter "7,315 +/- 30" "8,109 (8,032-8,181)" # BA121257 160 Organic matter "7,425 +/- 30" "8,260 (8,182-8,329)" # BA121258 180 Organic matter "8,610 +/- 30" "9,552 (9,527-9,655)" # BA121254 200 Organic matter "9,260 +/- 35" "10,443 (10,295-10,557)" # BA111240 215 Organic matter "9,695 +/- 40" "11,144 (10,869-11,222)" # BA121253 230 Organic matter "9,720 +/- 35" "11,176 (10,906-11,228)" # BA101279 252.5 Pollen concentrates "9,785 +/- 40" "11,214 (11,167-11,254)" # BA121252 260 Organic matter "9,875 +/- 45" "11,270 (11,207-11,391)" # BA121248 270 Organic matter "10,310 +/- 45" "12,113 (11,849-12,385)" # BA101280 292.5 Pollen concentrates "10,635 +/- 35" "12,591 (12,541-12,676)" # BA121250 310 Organic matter "10,335 +/- 35" "12,170 (12,033-12,386)" # BA121251 318 Organic matter "10,360 +/- 40" "12,222 (12,062-12,394)" # #---------------- # 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) # ## sampid sample ID,,,,,,,,C, ## depth_cm depth, , , cm, , , , ,N, ## age_calBP age, , , calendar years before present, , , , ,N, ## gsdmedian grain size median, , , um, , loess, , ,N, ## gssurfmean grain size surface weighted mean, , , um, , loess, D [3, 2], ,N, ## gsvolmean grain size volume weighted mean, , , um, , loess, D [4, 3], ,N, ## gsmode grain size mode, , , um, , loess, , ,N, ## gs<4um grain size <4um, , , percent, , loess, , ,N, ## gs4-63um grain size 4-63um, , , percent, , loess, , ,N, ## gs>63um grain size >63um, , , percent, , loess, , ,N, # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # sampid depth_cm age_calBP gsmedian gssurfmean gsvolmean gsmode gs<4um gs4-63um gs>63um Hxa-160 1 19.687 5.956 41.928 33.874 16.079 67.68 16.241 Hxa-159 3 23.061 6.604 56.477 36.244 14.625 64.404 20.971 Hxa-158 5 23.187 6.084 63.876 35.028 15.677 62.763 21.561 Hxa-157 7 25.287 7.206 62.01 34.273 13.085 63.495 23.419 Hxa-156 9 22.515 6.495 83.155 33.651 14.92 62.401 22.679 Hxa-155 11 20.843 5.842 40.837 34.425 16.335 68.502 15.163 Hxa-154 13 18.187 6.427 37.377 31.105 14.836 73.243 11.922 Hxa-153 15 18.231 5.928 45.849 31.715 16.417 67.849 15.733 Hxa-152 17 16.268 6.325 28.578 28.289 14.982 76.179 8.839 Hxa-151 19 18.487 5.915 35.499 31.038 16.085 72.563 11.352 Hxa-150 21 14.894 5.984 27.187 25.755 16.155 75.453 8.392 Hxa-149 23 17.764 5.94 31.651 30.868 15.929 74.481 9.59 Hxa-147 25 15.301 5.358 28.874 25.739 17.925 73.936 8.139 Hxa-148 27 15.855 6.445 37.445 28.26 14.566 74.88 10.554 Hxa-146 29 14.995 5.666 34.587 20.343 16.719 72.629 10.652 Hxa-145 31 14.917 5.492 41.134 23.203 17.596 71.657 10.746 Hxa-144 33 15.268 6.182 31.79 25.455 15.469 75.087 9.444 Hxa-143 35 16.207 6.66 29.336 24.65 13.321 77.717 8.962 Hxa-142 37 12.815 5.658 26.087 12.724 16.038 78.119 5.843 Hxa-141 39 15.525 5.912 29.434 26.715 16.182 75.623 8.195 Hxa-140 41 12.43 5.422 20.105 24.686 19.332 75.551 5.116 Hxa-139 43 15.338 5.211 27.581 24.872 18.255 74.968 6.777 Hxa-138 45 14.702 5.342 24.722 24.463 18.133 75.243 6.624 Hxa-137 47 14.368 5.713 29.173 27.779 17.896 73.693 8.41 Hxa-136 49 16.104 5.664 30.839 27.436 17.143 73.862 8.996 Hxa-135 51 14.932 5.87 28.265 27.427 17.004 74.762 8.234 Hxa-134 53 15.621 6.204 27.787 27.609 15.815 75.553 8.631 Hxa-133 55 16.161 5.763 30.98 27.593 17.101 74.459 8.44 Hxa-132 57 15.8 6.084 32.524 25.757 16.252 73.906 9.842 Hxa-131 59 15.062 5.886 30.887 26.382 17.01 74.105 8.885 Hxa-130 61 14.479 5.966 28.547 25.388 17.016 75.513 7.471 Hxa-129 63 14.484 6.1 28.358 26.271 16.339 75.207 8.453 Hxa-128 65 15.181 5.916 31.591 26.253 16.687 74.047 9.266 Hxa-127 67 16.442 5.652 30.593 27.582 17.711 73.732 8.557 Hxa-126 69 14.98 5.554 25.389 26.087 18.093 75.211 6.696 Hxa-125 71 15.821 5.57 57.6 24.44 18.044 67.206 14.75 Hxa-124 73 15.828 5.773 44.541 25.229 17.028 70.953 12.019 Hxa-123 75 15.028 5.508 35.618 26.542 18.397 71.265 10.339 Hxa-122 77 14.107 5.778 21.795 25.421 17.689 76.265 6.046 Hxa-121 79 14.864 5.986 28.507 24.673 16.414 75.593 7.992 Hxa-120 81 14.255 5.506 26.657 25.578 18.659 74.233 7.108 Hxa-119 83 15.925 5.573 40.45 26.675 18.255 70.513 11.232 Hxa-118 85 9.954 4.547 27.854 7.165 24.094 67.538 8.368 Hxa-117 87 15.233 5.858 29.206 25.041 16.63 75.086 8.284 Hxa-116 89 13.973 5.641 26.215 25.993 17.88 74.774 7.345 Hxa-115 91 13.603 6.161 26.72 20.18 15.744 76.966 7.29 Hxa-114 93 14.478 5.238 27.869 25.055 18.8 73.693 7.508 Hxa-113 95 14.496 5.606 36.356 25.933 18.021 72.933 9.046 Hxa-112 97 15.064 5.765 28.754 25.708 16.506 75.072 8.422 Hxa-111 99 13.215 5.771 26.718 10.712 16.102 76.719 7.179 Hxa-110 101 14.507 5.615 27.411 24.032 17.18 75.089 7.732 Hxa-109 103 91 13.159 5.531 31.93 26.093 18.304 73.815 7.881 Hxa-108 105 216 19.464 5.556 36.419 28.689 16.942 70.447 12.61 Hxa-107 107 341 12.82 5.801 25.917 10.846 16.716 76.623 6.661 Hxa-106 109 466 14.812 5.791 27.995 25.471 16.842 74.57 8.588 Hxa-105 111 591 14.863 6.199 39.67 13.534 14.991 74.278 10.731 Hxa-104 113 716 14.888 5.417 31.509 26.683 18.476 72.462 9.061 Hxa-103 115 841 29.727 8.376 332.753 1042.432 11.626 52.973 35.401 Hxa-102 117 966 13.493 5.722 27.071 14.359 16.487 76.632 6.881 Hxa-101 119 1091 13.918 5.485 27.59 21.1 17.82 75.592 6.588 Hxa-100 121 1216 14.095 5.255 26.269 21.893 18.606 74.773 6.621 Hxa-99 123 1341 13.541 5.089 19.853 22.375 19.274 76.55 4.176 Hxa-98 125 1466 13.532 5.829 24.731 16.06 16.254 78.135 5.611 Hxa-97 127 1590 11.962 5.66 17.635 13.166 16.249 80.791 2.96 Hxa-96 129 1715 13.8 4.934 23.05 23.215 20.24 74.496 5.264 Hxa-95 131 1840 13.021 5.113 23.12 20.108 19.447 75.195 5.359 Hxa-94 133 1965 13.072 5.195 23.003 19.109 18.829 75.871 5.301 Hxa-93 135 2090 14.06 5.208 23.939 21.656 18.448 75.893 5.659 Hxa-92 137 2215 12.786 5.241 25.925 19.432 19.482 74.219 6.299 Hxa-91 139 2340 13.81 6.368 23.733 15.36 13.869 81.05 5.081 Hxa-90 141 2465 12.969 5.093 19.482 18.935 19.215 76.58 4.205 Hxa-89 143 2590 13.071 4.808 22.965 21.351 20.636 74.338 5.026 Hxa-88 145 2715 12.271 4.79 18.677 19.315 21.043 75.174 3.783 Hxa-87 147 2840 11.534 5.244 22.444 11.687 19.285 75.708 5.008 Hxa-86 149 2965 12.859 4.792 25.791 18.332 20.12 74.324 5.557 Hxa-85 151 3089 12.258 5.058 18.57 17.864 19.857 76.527 3.615 Hxa-84 153 3214 12.75 5.463 19.125 15.973 17.78 78.201 4.019 Hxa-83 155 3339 12.841 5.922 24.515 14.086 15.75 78.974 5.275 Hxa-82 157 3464 12.846 4.997 21.936 17.883 19.246 75.89 4.863 Hxa-81 159 3589 12.306 5.58 18.418 13.317 16.381 80.114 3.505 Hxa-80 161 3714 11.852 5.107 17.922 15.265 19.434 77.265 3.3 Hxa-79 163 3839 13.189 5.211 27.022 17.486 18.855 75.041 6.104 Hxa-78 165 3964 12.5 5.571 22.119 13.947 16.971 78.227 4.802 Hxa-77 167 4089 12.392 5.597 22.376 12.306 17 77.615 5.385 Hxa-76 169 4214 12.299 5.107 18.702 17.032 19.581 76.643 3.776 Hxa-75 171 4339 12.764 5.713 21.617 14.786 16.848 78.317 4.835 Hxa-74 173 4464 13.253 5.559 24.033 16.97 17.202 77.356 5.442 Hxa-73 175 4589 11.652 5.813 21.393 10.865 16.438 78.811 4.751 Hxa-72 177 4713 12.377 5.781 18.659 13.333 16.298 79.968 3.734 Hxa-71 179 4838 12.476 5.997 23.246 12.666 15.199 79.898 4.902 Hxa-70 181 4963 14.033 6.746 23.19 14.571 12.744 81.847 5.409 Hxa-69 183 5088 12.761 5.519 18.801 16.96 17.819 78.735 3.445 Hxa-68 185 5213 12.474 5.349 22.641 15.543 18.482 76.506 5.012 Hxa-67 187 5338 12.844 5.846 26.398 13.368 16.587 77.266 6.147 Hxa-66 189 5463 14.897 5.554 21.677 25.009 17.286 77.26 5.453 Hxa-65 191 5588 14.745 5.461 25.08 26.379 17.944 74.973 7.082 Hxa-64 193 5713 16.576 5.242 41.665 27.848 18.381 68.89 12.729 Hxa-63 195 5838 13.812 5.519 24.174 21.769 17.796 76.256 5.948 Hxa-62 197 5963 13.544 5.969 23.607 15.815 15.821 78.542 5.637 Hxa-61 199 6088 16.098 5.905 40.082 23.041 16.065 73.007 10.928 Hxa-60 201 6212 15.941 5.579 26.43 28.035 17.533 75.098 7.369 Hxa-59 203 6337 16.053 6.231 26.704 28.083 15.177 77.273 7.55 Hxa-58 205 6462 17.634 6.576 28.634 29.234 14.242 77.116 8.642 Hxa-57 207 6587 17.422 6.715 30.607 28.36 13.704 77.715 8.58 Hxa-56 209 6712 15.179 6.953 26.5 15.158 12.112 81.292 6.597 Hxa-55 211 6837 15.257 5.557 35.654 25.985 17.331 72.884 9.785 Hxa-54 213 6962 17.717 5.746 24.786 30.462 16.419 75.74 7.841 Hxa-53 215 7087 17.608 7.171 26.8 29.016 11.816 80.832 7.352 Hxa-52 217 7212 18.178 5.89 25.559 31.695 15.371 76.253 8.375 Hxa-51 219 7337 17.7 5.864 24.935 31.408 15.782 76.291 7.927 Hxa-50 221 7462 17.621 5.766 24.89 31.671 16.474 75.519 8.007 Hxa-49 223 7587 19.124 6.001 30.908 31.277 15.532 74.97 9.497 Hxa-48 225 7712 17.457 6.45 24.602 29.174 13.065 79.553 7.382 Hxa-47 227 7836 20.862 6.694 32.779 33.07 13.499 75.738 10.763 Hxa-46 229 7961 17.613 5.831 24.313 29.811 15.713 77.147 7.14 Hxa-45 231 8086 18.674 6.268 26.335 31.074 14.236 76.723 9.041 Hxa-44 233 8211 26.335 7.398 44.976 37.425 11.737 68.599 19.664 Hxa-43 235 8336 18.864 5.738 25.228 29.826 15.568 76.854 7.578 Hxa-42 237 8461 18.178 6.192 25.005 28.907 14.253 78.165 7.583 Hxa-41 239 8586 20.546 5.85 26.858 32.978 15.14 76.017 8.843 Hxa-40 241 8711 19.393 6.888 26.322 32.018 12.558 78.932 8.51 Hxa-39 243 8836 22.599 6.476 34.043 32.877 13.468 75.022 11.51 Hxa-38 245 8961 19.71 7.181 32.072 30.027 11.37 77.334 11.296 Hxa-37 247 9086 23.156 6.911 36.907 35.043 12.985 72.456 14.56 Hxa-36 249 9211 25.023 8.299 43.614 34.796 9.639 72.376 17.986 Hxa-35 251 9335 37.495 10.472 55.259 46.324 7.644 62.59 29.766 Hxa-34 253 9460 37.544 10.198 53.203 46.045 8.083 63.394 28.523 Hxa-33 255 9585 30.959 8.063 46.243 41.592 10.513 67.272 22.215 Hxa-32 257 9710 30.024 7.328 45.07 40.394 11.581 67.224 21.195 Hxa-31 259 9835 29.503 8.876 43.038 41.055 9.165 71.241 19.594 Hxa-30 261 9960 31.624 8.946 53.501 39.578 9.45 70.304 20.246 Hxa-29 263 10085 35.811 9.166 49.321 43.811 9.149 65.898 24.953 Hxa-28 265 10210 36.499 9.213 49.851 45.611 9.07 65.734 25.197 Hxa-27 267 10335 30.421 8.071 49.15 41.106 10.702 67.249 22.049 Hxa-26 269 10460 29.588 8.353 49.7 40.292 10.402 69.014 20.584 Hxa-25 271 10585 29.225 7.795 70.498 37.256 11.197 63.657 25.146 Hxa-24 273 10710 45.005 9.772 130.75 39.493 9.256 49.285 41.458 Hxa-23 275 10835 29.903 7.585 86.609 37.782 12.479 59.411 28.11 Hxa-22 277 10959 26.878 7.197 70.311 38.123 12.892 64.275 22.833 Hxa-21 279 11084 27.082 7.11 41.522 40.939 12.539 70.437 17.024 Hxa-20 281 11209 33.258 7.857 37.895 44.875 11.019 70.683 18.298 Hxa-19 283 11334 33.195 8.885 39.201 47.33 9.515 70.158 20.327 Hxa-18 285 11459 30.087 7.196 35.026 41.856 11.871 72.6 15.529 Hxa-17 287 11584 24.982 8.021 31.67 38.146 10.136 77.077 12.788 Hxa-16 289 11709 24.086 6.759 30.085 37.41 12.951 75.655 11.394 Hxa-15 291 11834 23.255 7.66 29.803 34.198 10.619 78.612 10.769 Hxa-13 295 12084 21.942 6.768 30.528 30.924 12.687 78.565 8.748 Hxa-12 297 12209 19.683 7.152 26.011 29.667 11.464 80.924 7.613 Hxa-11 299 12334 21.021 7.476 27.073 29.84 11.279 80.422 8.299 Hxa-10 301 12458 22.278 6.862 28.478 34.281 12.729 77.299 9.972 Hxa-9 303 12583 31.217 7.876 47.15 45.544 11.199 66.376 22.425 Hxa-8 305 12708 29.702 7.791 42.94 43.611 11.256 68.576 20.168 Hxa-7 307 12833 30.941 8.12 43.322 44.708 10.777 68.451 20.772 Hxa-6 309 12958 29.942 9.962 50.79 46.617 7.067 68.255 24.677 Hxa-5 311 13083 33.005 7.834 60.09 44.081 11.11 64.522 24.369 Hxa-4 313 13208 28.919 7.514 45.843 43.599 11.768 66.483 21.748 Hxa-3 315 13333 27.848 8.486 53.318 40.837 9.727 67.393 22.88 Hxa-2 317 13458 33.472 8.903 68.259 42.33 9.655 64.928 25.417 Hxa-1 319 13583 33.941 8.295 66.343 41.853 10.751 63.673 25.576