# 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-b2015geochem.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 4. Geochemical data in the HYH b 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-b2015geochem # Earliest_Year: 12244 # 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,,,,,,,,N, ## depth_cm depth, , , cm, , , , ,N, ## age_calBP age, , , calendar years before present, , , , ,N, ## toc total organic carbon, , , percent, , loess, , ,N, ## susc magnetic susceptibility, , , x10-8 m3 kg-1, , loess, , ,N, ## carb calcium carbonate, , , 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 toc susc carb 160 1 2.2610 190.52 2.7 159 3 2.1207 161.79 3.4 158 5 2.2141 154.80 2.8 157 7 2.2524 179.64 3.4 156 9 2.0973 166.35 2.9 155 11 1.9942 167.15 3.2 154 13 2.2142 186.50 3.1 153 15 110 2.2094 11.11 2.8 152 17 268 2.0926 173.79 2.7 151 19 425 2.1254 170.77 3.5 150 21 582 2.0022 183.57 3.1 149 23 737 2.1933 168.34 2.6 148 25 891 2.1394 157.89 3.2 147 27 1044 1.8645 152.63 1.8 146 29 1196 1.6269 156.77 2.3 145 31 1347 1.7796 156.66 3 144 33 1497 1.8527 148.49 1.9 143 35 1646 2.0155 143.35 2.2 142 37 1793 1.5297 120.96 2.7 141 39 1940 2.2546 141.52 2.3 140 41 2086 2.5233 153.76 2.9 139 43 2231 2.2978 144.25 2.6 138 45 2374 2.0598 170.04 2.3 137 47 2517 1.9016 141.40 2.7 136 49 2659 0.9457 144.15 2.4 135 51 2799 2.2135 144.67 2.9 134 53 2939 2.4338 110.83 2.7 133 55 3077 2.5034 107.41 3.3 132 57 3215 1.7571 64.45 3.1 131 59 3351 1.7575 108.08 2.4 130 61 3487 2.1286 99.43 2.7 129 63 3621 2.5349 127.45 3.1 128 65 3754 2.6930 135.49 2.9 127 67 3886 2.6747 89.39 2.8 126 69 4018 2.3338 143.68 2.2 125 71 4148 2.0205 134.13 1.9 124 73 4277 2.4638 122.40 2.3 123 75 4405 2.5790 138.89 2.6 122 77 4532 2.1412 125.39 3.2 121 79 4658 2.3890 134.67 2.5 120 81 4783 2.1986 124.19 3.1 119 83 4907 1.8069 121.47 2.9 118 85 5030 2.2804 127.01 2.8 117 87 5152 2.1842 111.21 2.6 116 89 5273 2.2530 106.05 3 115 91 5393 2.0592 110.68 3.2 114 93 5511 2.1155 99.38 3.5 113 95 5629 1.9974 93.86 3.6 112 97 5746 1.8776 109.57 3.6 111 99 5861 1.4542 82.09 3.1 110 101 5976 1.6574 83.67 3.4 109 103 6090 1.3608 74.03 3.7 108 105 6202 1.1549 58.78 7.2 107 107 6314 1.1062 61.36 7.8 106 109 6424 0.6380 56.89 8 105 111 6534 1.1662 50.96 7.7 104 113 6642 1.2313 50.46 6.9 103 115 6749 0.9613 51.37 7.4 102 117 6856 0.7851 50.73 6.7 101 119 6961 0.6877 45.22 7.6 100 121 7065 0.8646 49.50 6.2 99 123 7168 0.7296 47.35 7.2 98 125 7270 0.6374 43.23 6 97 127 7372 0.4944 38.82 6.6 96 129 7472 0.7020 44.42 6.9 95 131 7571 0.5157 38.93 5.7 94 133 7669 0.8075 36.80 5.2 93 135 7766 0.5473 36.31 7.4 92 137 7862 0.3956 42.70 7.7 91 139 7956 0.6112 33.02 7.6 90 141 8050 0.6233 33.99 7.4 89 143 8143 0.6429 34.69 8.2 88 145 8235 0.7122 39.08 7.9 87 147 8326 0.7201 40.68 7.7 86 149 8415 0.7840 43.12 7.1 85 151 8504 0.8007 42.32 6.4 84 153 8592 0.7292 50.40 7.3 83 155 8678 0.9786 51.50 6.8 82 157 8764 0.8950 54.19 5.9 81 159 8848 0.8884 58.62 5.9 80 161 8932 1.1961 56.53 7.4 79 163 9014 1.2177 62.45 7.1 78 165 9095 1.0309 49.58 6.6 77 167 9176 1.0892 54.99 6.9 76 169 9255 0.8432 47.40 6.5 75 171 9333 1.4443 47.06 6.2 74 173 9411 0.7066 43.55 6.8 73 175 9487 0.6650 42.84 7.2 72 177 9562 0.6345 42.83 6.9 71 179 9636 0.8650 49.30 7.5 70 181 9709 1.0877 49.49 7.2 69 183 9781 0.9099 47.74 7 68 185 9852 0.6452 42.76 6.8 67 187 9922 0.8404 39.28 6.9 66 189 9991 0.5916 35.40 7.3 65 191 10059 0.0000 44.73 7.5 64 193 10126 0.5416 43.52 6.2 63 195 10192 0.9424 50.93 6.7 62 197 10256 0.5835 47.51 6.6 61 199 10320 0.6486 40.61 5.7 60 201 10383 0.5426 38.09 6.4 59 203 10444 0.7501 47.18 6.1 58 205 10505 0.6390 59.43 6.8 57 207 10565 1.4652 75.00 7.4 56 209 10623 0.5320 56.85 6.5 55 211 10681 0.6665 69.37 5.9 54 213 10737 1.3562 73.63 6.4 53 215 10793 1.2575 54.17 5.7 52 217 10847 0.4857 50.21 6.7 51 219 10900 0.6867 39.78 7.3 50 221 10953 0.5362 36.41 8.6 49 223 11004 0.4895 48.13 9.9 48 225 11054 0.5803 39.41 11.3 47 227 11103 0.5021 35.77 10.8 46 229 11152 0.4572 36.80 9.4 45 231 11199 0.5978 47.75 9.8 44 233 11245 0.5392 45.83 8.6 43 235 11290 0.5051 49.13 10.7 42 237 11334 0.3936 40.46 9.4 41 239 11377 0.3561 46.32 10.3 40 241 11419 0.4410 40.83 11.2 39 243 11460 0.5885 43.97 10.8 38 245 11499 0.5041 44.88 11 37 247 11538 0.6142 43.81 10.6 36 249 11576 0.5063 42.58 9.7 35 251 11613 0.4887 39.70 10.1 34 253 11648 0.6195 40.73 11.2 33 255 11683 0.5424 39.63 9.7 32 257 11717 0.5934 41.71 7.9 31 259 11749 0.5778 41.87 5.2 30 261 11781 0.4545 38.99 5.6 29 263 11811 0.5844 47.92 6.2 28 265 11841 0.8774 45.08 7.1 27 267 11869 0.6439 47.39 5.4 26 269 11897 0.6474 38.73 6.9 25 271 11923 0.5951 32.57 8.6 24 273 11948 0.4868 30.97 7.4 23 275 11973 0.4084 36.18 6.6 22 277 11996 0.5332 40.20 5.9 21 279 12018 0.4358 36.76 4.4 20 281 12039 0.5213 33.57 6.7 19 283 12059 0.6102 34.83 4 18 285 12078 0.6028 43.31 4.6 17 287 12096 0.5667 42.70 5.2 16 289 12113 0.9945 45.81 6.8 15 291 12129 0.9426 58.22 6.4 14 293 12144 0.7394 47.64 7.1 13 295 12158 0.6326 43.07 6.1 12 297 12171 0.7803 43.38 7.5 11 299 12183 0.7683 49.22 6.9 10 301 12194 0.7833 53.06 7.3 9 303 12203 0.4047 34.64 7.1 8 305 12212 0.3908 36.33 7.4 7 307 12220 0.3600 35.58 7.3 6 309 12226 0.4033 37.75 7.1 5 311 12232 0.3521 37.92 7 4 313 12236 0.4100 51.02 7.4 3 315 12240 0.1922 44.12 7.1 2 317 12242 0.3812 42.87 7.3 1 319 12244 0.4816 36.15 7.1