# 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-a2015geochem.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 3. Geochemical 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-a2015geochem # 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,,,,,,,,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 3.0953 122.64 7.9 159 3 4.8276 155.70 8.9 158 5 2.7062 118.30 9.3 157 7 5.0752 176.11 9.6 156 9 1.7063 133.43 7.8 155 11 3.3545 101.82 8 154 13 2.0845 103.38 8.9 153 15 3.2275 113.62 7.3 152 17 1.7438 93.33 6.8 151 19 1.7920 93.32 8.1 150 21 1.6971 98.62 7.2 149 23 1.9873 73.82 5.9 148 25 2.1077 88.79 5.7 147 27 1.6449 107.69 7 146 29 1.7177 95.00 5.9 145 31 1.7084 98.51 5 144 33 1.7255 72.67 6.2 143 35 1.7193 68.54 5.4 142 37 1.6136 61.55 4.5 141 39 1.6674 63.37 4.3 140 41 1.7710 64.06 4.4 139 43 1.8702 66.52 3.7 138 45 0.9628 65.66 3.5 137 47 1.6972 88.51 3.8 136 49 2.2418 201.78 3.3 135 51 2.0138 194.68 2.7 134 53 1.6956 195.13 3.2 133 55 1.8702 191.47 3.6 132 57 1.8129 189.23 2.9 131 59 1.9311 190.99 3.4 130 61 1.9374 189.84 3.7 129 63 2.0776 189.51 3.4 128 65 1.9408 187.64 3.6 127 67 1.8306 181.66 3.5 126 69 2.0518 191.32 3.1 125 71 1.7287 186.99 2.6 124 73 2.0022 184.87 2.9 123 75 1.7348 191.50 3.6 122 77 2.0956 125.24 3.9 121 79 1.9090 199.48 3.5 120 81 2.1120 175.43 3.4 119 83 2.0040 188.29 3.8 118 85 2.1560 166.96 3.2 117 87 1.5911 165.10 2.7 116 89 1.4716 164.61 2.4 115 91 1.6211 192.96 2.8 114 93 2.3302 154.83 2.6 113 95 2.4164 198.13 3.4 112 97 2.5590 122.77 2.9 111 99 2.5123 116.14 2.6 110 101 2.1136 110.99 3.5 109 103 91 2.2811 107.69 2.7 108 105 216 2.0672 110.09 3.1 107 107 341 2.2445 109.59 2.9 106 109 466 2.0241 112.90 2.8 105 111 591 2.0021 118.80 3.4 104 113 716 2.1536 113.93 2.9 103 115 841 0.8889 115.83 2.7 102 117 966 1.3466 89.20 3.2 101 119 1091 2.3037 79.97 2.9 100 121 1216 2.1025 78.98 2.8 99 123 1341 2.0038 71.18 3.1 98 125 1466 1.9053 81.12 3.7 97 127 1590 2.3510 79.57 3.9 96 129 1715 1.8219 72.04 3.8 95 131 1840 1.9055 74.60 4 94 133 1965 1.8636 73.86 4.1 93 135 2090 1.6439 71.68 3.8 92 137 2215 1.9353 72.97 3.9 91 139 2340 1.8984 73.54 4.2 90 141 2465 2.2679 73.31 3.8 89 143 2590 1.0751 73.51 4.1 88 145 2715 1.9399 74.83 3.9 87 147 2840 1.9455 72.58 3.7 86 149 2965 2.3100 72.86 3.6 85 151 3089 2.2381 70.82 3.9 84 153 3214 2.4627 69.82 3.4 83 155 3339 2.1705 70.47 3.7 82 157 3464 2.3435 71.05 3.5 81 159 3589 2.5220 69.30 5.7 80 161 3714 1.4664 70.12 2.3 79 163 3839 1.1284 68.55 2.3 78 165 3964 2.0906 70.40 3 77 167 4089 1.9888 68.67 4.4 76 169 4214 2.1609 70.10 4.1 75 171 4339 2.0678 68.16 5.5 74 173 4464 2.1020 69.14 3.8 73 175 4589 2.1351 71.08 4.3 72 177 4713 2.1270 70.54 3.4 71 179 4838 2.2329 68.50 2.9 70 181 4963 1.9891 72.92 2 69 183 5088 2.0852 71.70 2.3 68 185 5213 2.1771 70.45 3.7 67 187 5338 2.1545 70.58 1.8 66 189 5463 1.9611 69.21 2 65 191 5588 1.9743 71.06 1.6 64 193 5713 2.0732 72.76 1.7 63 195 5838 1.9748 70.39 1.5 62 197 5963 2.2082 72.59 3.4 61 199 6088 1.6286 73.32 1.9 60 201 6212 1.7014 72.87 1.6 59 203 6337 1.6273 72.18 1.4 58 205 6462 1.7575 73.62 4.1 57 207 6587 1.4919 69.92 6.5 56 209 6712 1.4250 70.00 5.1 55 211 6837 1.6017 68.38 4.3 54 213 6962 1.1497 57.30 2.5 53 215 7087 0.9840 61.54 3.4 52 217 7212 0.5701 53.24 5.7 51 219 7337 0.7782 57.53 2.6 50 221 7462 0.5730 48.66 4 49 223 7587 0.4635 44.74 4.1 48 225 7712 0.4706 46.29 5.6 47 227 7836 0.5060 47.24 3.4 46 229 7961 0.4967 35.53 3.5 45 231 8086 0.5454 42.09 5.1 44 233 8211 0.3666 45.64 2.7 43 235 8336 0.5074 41.49 6.8 42 237 8461 0.5249 38.94 5.1 41 239 8586 0.5020 39.70 6 40 241 8711 0.5087 43.12 9.3 39 243 8836 0.4733 40.81 8 38 245 8961 0.4484 34.01 9.6 37 247 9086 0.3641 34.79 8.8 36 249 9211 0.3868 44.67 8 35 251 9335 0.3706 59.50 8.4 34 253 9460 0.3209 53.80 8.2 33 255 9585 0.2876 39.72 7.7 32 257 9710 0.3814 45.92 7.2 31 259 9835 0.3651 48.37 6.1 30 261 9960 0.3326 41.21 6.1 29 263 10085 0.3327 40.91 5.5 28 265 10210 0.2868 50.83 5.7 27 267 10335 0.4839 53.58 4.2 26 269 10460 0.4907 50.89 5.1 25 271 10585 0.3913 52.69 5.2 24 273 10710 0.5571 56.58 4.5 23 275 10835 1.2526 98.86 3 22 277 10959 1.0810 80.54 2.5 21 279 11084 0.7775 92.80 1.8 20 281 11209 0.4909 45.39 4.2 19 283 11334 0.3949 37.73 1.8 18 285 11459 0.3838 33.33 2.1 17 287 11584 0.4888 33.95 4 16 289 11709 0.4864 36.24 6.2 15 291 11834 0.4774 36.11 6.1 14 293 11959 0.4720 31.10 6.7 13 295 12084 0.4908 29.67 5.9 12 297 12209 0.4831 26.74 7.1 11 299 12334 0.5261 30.76 6.4 10 301 12458 0.5091 41.24 6.7 9 303 12583 0.3573 41.96 6.2 8 305 12708 0.4481 39.14 6.1 7 307 12833 0.5014 41.68 4.6 6 309 12958 0.5251 39.28 4.5 5 311 13083 0.5020 40.34 4 4 313 13208 0.4692 40.05 4.7 3 315 13333 0.4232 37.30 4.8 2 317 13458 0.4622 38.73 5.3 1 319 13583 0.4920 40.29 4.7