# Chinese Loess Plateau 360KYr Leaf Wax Isotope Data and Temperature Reconstruction #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 2.0 # NOTE: Please cite original publication, online resource and date accessed when using this data. # If there is no publication information, please cite Investigator, title, online resource and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # Online_Resource: http://www.ncdc.noaa.gov/paleo/study/21230 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/loess/china/thomas2016mangshan-temp.txt # # Archive: Loess # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2017-01-04 #--------------------------------------- # Title # Study_Name: Chinese Loess Plateau 360KYr Leaf Wax Isotope Data and Temperature Reconstruction #--------------------------------------- # Investigators # Investigators: Thomas, E.K.; Clemens, S.C.; Sun, Y.; Prell, W.L.; Huang, Y.; Gao, L.; Loomis, S.; Chen, G.; Liu, Z. #--------------------------------------- # Description and Notes # Description: Leaf wax isotope (d13C and d2H) and physical properties (grain size, magnetic susceptibility) data from # Weinan and Lantian, Chinese Loess Plateau, plus leaf wax-based temperature reconstruction for the past 360,000 years. # # Provided Keywords: Monsoon, Leaf wax hydrogen isotope, Hydroclimate, Loess, Molecular paleoclimate, Isotope hydrology #--------------------------------------- # Publication # Authors: Elizabeth K. Thomas, Steven C. Clemens, Youbin Sun, Warren L. Prell, Yongsong Huang, Li Gao, Shannon Loomis, Guangshan Chen, Zhengyu Liu # Published_Date_or_Year: 2016-12-01 # Published_Title: Heterodynes dominate precipitation isotopes in the East Asian monsoon region, reflecting interaction of multiple climate factors # Journal_Name: Earth and Planetary Science Letters # Volume: 455 # Edition: # Issue: # Pages: 196-206 # Report Number: # DOI: 10.1016/j.epsl.2016.09.044 # Online_Resource: http://www.sciencedirect.com/science/article/pii/S0012821X16305246 # Full_Citation: # Abstract: For the past decade, East Asian monsoon history has been interpreted in the context of an exceptionally well-dated, high-resolution composite record of speleothem oxygen isotopes (d18Ocave) from the Yangtze River Valley. This record is characterized by a unique spectral response, with variance concentrated predominantly within the precession band and an enigmatic lack of variance at the eccentricity and obliquity bands. Here we examine the spectral characteristics of all existing >250-kyr-long terrestrial water isotope records in Asia, including a new water isotope record using leaf wax hydrogen isotope ratios from the Chinese Loess Plateau. There exist profound differences in spectral characteristics among all orbital-scale Asian water isotope records. We demonstrate that these differences result from latitudinal gradients in the influence of the winter and summer monsoons, both of which impact climate and water isotopes throughout East Asia. Water isotope records therefore do not reflect precipitation during a single season or from a single circulation system. Rather, water isotope records in East Asia reflect the complex interplay of oceanic and continental moisture sources, operating at multiple Earth-orbital periods. These non-linear interactions are reflected in water isotope spectra by the presence of heterodynes. Although complex, we submit that water isotope records, when paired with rapidly developing isotope-enabled model simulations, will have the potential to elucidate mechanisms causing seasonal precipitation variability and moisture source variability in East Asia. #--------------------------------------- # Publication # Authors: Elizabeth K. Thomas, Steven C. Clemens, Youbin Sun, Yongsong Huang, Warren Prell, Guangshan Chen, Zhengyu Liu, Shannon Loomis # Published_Date_or_Year: 2017-01-21 # Published_Title: Midlatitude land surface temperature impacts the timing and structure of glacial maxima # Journal_Name: Geophysical Research Letters # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: 10.1002/2016GL071882 # Online_Resource: http://onlinelibrary.wiley.com/doi/10.1002/2016GL071882/full # Full_Citation: # Abstract: Orbitally modulated insolation is thought to be among the key mechanisms driving ice sheet change. Yet, late Pleistocene ice sheets attained maximum marginal extents prior to summer insolation minima, suggesting that additional mechanisms influenced ice growth and decay. Continuous orbital-scale terrestrial temperature records can help define the role that temperature near ice sheet margins plays on the timing and structure of glacial maxima. We hypothesize, based on a 360 kyr long air temperature record from the Chinese Loess Plateau and shorter records from North America and Europe, that midlatitude terrestrial temperature influenced the rate of ice sheet growth prior to and during glacial maxima; cold conditions prior to glacial maxima enhanced ice sheet growth, while warming during glacial maxima inhibited further growth, despite low summer insolation. Thus, the midlatitude surface energy budget may be an important component of understanding and modeling ice volume, particularly for intervals prior to and during glacial maxima, when ice sheet margins reached midlatitudes. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: AGS-1002504, OCE-1129408, 1129316, 41130105, Graduate and Postdoctoral Research Fellowships #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Chinese Academy of Sciences # Grant: KZZD-EW-TZ-03 #--------------------------------------- # Site Information # Site_Name: Mangshan # Location: Asia>Eastern Asia>China # Country: China # Northernmost_Latitude: 34.94 # Southernmost_Latitude: 34.94 # Easternmost_Longitude: 113.37 # Westernmost_Longitude: 113.37 # Elevation: m #--------------------------------------- # Data_Collection # Collection_Name: Thomas2016MangshanTemp # First_Year: 131500 # Last_Year: 7700 # Time_Unit: cal. year BP # Core_Length: # Notes: #--------------------------------------- # Chronology_Information # Chronology: # # tiePointCompositeDepth composite depth (m) in Weinan section where Grain Size tied to IODP 1146 benthic d18O # tiePointAge Age (kyr BP) of tie point correlated from IODP 1146 benthic d18O to Weinan Grain Size # # tiePointCompositeDepth tiePointAge # 0.691878437 11.53841985 # 1.660017544 18.17470993 # 2.442766256 24.31306069 # 4.759980692 37.50652728 # 6.708641807 53.16190094 # 10.36044293 74.32634943 # 10.81714075 78.91591817 # 11.57981342 87.82826878 # 11.86036386 94.21463607 # 12.54047567 104.5122059 # 12.69983058 112.0822755 # 12.96224146 121.0766463 # 13.19431876 126.7457836 # 14.25821973 133.8521587 # 14.95595496 139.1601661 # 19.83281667 154.6306169 # 20.77374178 162.89617 # 21.3732247 167.7222865 # 22.67477365 175.2923561 # 23.64224621 184.4429821 # 25.47064581 194.0416574 # 25.95700131 200.8128961 # 27.77530584 215.5305317 # 28.09061436 222.5199958 # 28.4530352 227.3403158 # 29.18705384 232.4016518 # 30.16762732 244.6189899 # 30.83707215 256.1905845 # 31.88135966 263.0106841 # 35.90215785 283.2176324 # 37.28946426 287.5568656 # 37.75248687 298.3045514 # 38.31227039 313.5964289 # 38.93892881 333.4824926 # 39.76914339 339.7748416 # 40.05123088 346.3363243 # 40.70301384 352.7661079 # 47.78201072 421.5106252 # #--------------------------------------- # Variables # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ## age_calkaBP age,,,kyr BP,,,,,N ## depth_m depth, , , m, , , composite depth, ,N ## f1018 fraction of 1018 (Ic),,,percent,,loess,,,N ## f1020 fraction of 1020 (Ib),,,percent,,loess,,,N ## f1022 fraction of 1022 (I),,,percent,,loess,,,N ## f1032 fraction of 1032 (IIc),,,percent,,loess,,,N ## f1034 fraction of 1034 (IIb),,,percent,,loess,,,N ## f1036 fraction of 1036 (II),,,percent,,loess,,,N ## f1046 fraction of 1046 (IIIc),,,percent,,loess,,,N ## f1048 fraction of 1048 (IIIb),,,percent,,loess,,,N ## f1050 fraction of 1050 (III),,,percent,,loess,,,N ## temp temperature,,,degrees C,,Climate reconstructions,,,N ## temperr temperature calibration error,,,degrees C,,Climate reconstructions,,,N # #------------------------ # Data # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Value: # age_calkaBP depth_m f1018 f1020 f1022 f1032 f1034 f1036 f1046 f1048 f1050 temp temperr 7.7 0.05 0.02 0.22 0.27 0.01 0.10 0.30 0.00 0.01 0.06 16.8 0.6 7.9 0.15 0.04 0.25 0.28 0.01 0.11 0.24 0.00 0.01 0.05 17.9 0.6 8.1 0.25 0.04 0.25 0.28 0.01 0.11 0.25 0.00 0.01 0.04 18.0 0.6 8.7 0.55 0.07 0.30 0.26 0.02 0.14 0.17 0.00 0.01 0.03 18.9 0.7 9.0 0.65 0.06 0.30 0.27 0.02 0.13 0.18 0.00 0.01 0.03 19.0 0.7 9.2 0.75 0.06 0.31 0.28 0.02 0.12 0.17 0.00 0.01 0.03 19.5 0.8 9.4 0.85 0.07 0.33 0.26 0.02 0.13 0.15 0.00 0.01 0.03 19.8 0.8 10.4 1.15 0.09 0.33 0.25 0.02 0.13 0.14 0.00 0.01 0.03 19.9 0.8 11.4 1.45 0.09 0.32 0.25 0.02 0.14 0.13 0.00 0.03 0.03 20.5 0.9 11.8 1.55 0.09 0.30 0.27 0.02 0.12 0.14 0.00 0.03 0.02 20.7 1.0 12.9 1.85 0.09 0.30 0.28 0.02 0.12 0.15 0.00 0.01 0.03 19.6 0.8 13.4 2.05 0.10 0.28 0.29 0.02 0.13 0.14 0.00 0.01 0.02 19.5 0.7 13.5 2.15 0.09 0.28 0.30 0.02 0.12 0.16 0.00 0.01 0.03 19.2 0.7 13.6 2.25 0.07 0.24 0.32 0.02 0.12 0.19 0.00 0.02 0.03 18.7 0.6 13.7 2.35 0.07 0.24 0.33 0.01 0.11 0.20 0.00 0.02 0.03 19.1 0.6 13.8 2.45 0.07 0.25 0.33 0.02 0.12 0.17 0.00 0.01 0.03 18.7 0.6 15.0 2.75 0.06 0.22 0.33 0.03 0.13 0.17 0.00 0.02 0.03 18.2 0.6 16.4 2.85 0.06 0.22 0.33 0.03 0.13 0.18 0.00 0.02 0.03 18.1 0.6 16.5 2.95 0.06 0.23 0.32 0.03 0.13 0.18 0.00 0.02 0.03 18.2 0.6 16.5 3.05 0.06 0.18 0.29 0.05 0.17 0.17 0.00 0.03 0.05 16.3 0.9 16.6 3.15 0.06 0.17 0.31 0.04 0.16 0.18 0.00 0.03 0.04 16.7 0.8 16.7 3.25 0.06 0.17 0.30 0.04 0.17 0.18 0.00 0.02 0.05 15.9 0.7 16.7 3.35 0.05 0.17 0.36 0.03 0.14 0.18 0.00 0.02 0.05 16.9 0.5 16.8 3.45 0.04 0.18 0.34 0.03 0.13 0.21 0.00 0.02 0.04 17.0 0.5 17.0 3.75 0.05 0.16 0.34 0.02 0.14 0.20 0.00 0.03 0.05 17.2 0.5 17.0 3.85 0.04 0.16 0.35 0.04 0.15 0.20 0.00 0.03 0.04 16.5 0.8 17.1 3.95 0.05 0.14 0.36 0.03 0.15 0.20 0.00 0.02 0.05 16.0 0.5 17.2 4.05 0.06 0.14 0.33 0.04 0.16 0.20 0.00 0.03 0.05 15.9 0.8 17.3 4.15 0.05 0.15 0.36 0.03 0.13 0.21 0.00 0.03 0.06 16.6 0.6 17.3 4.25 0.03 0.15 0.36 0.02 0.11 0.25 0.00 0.04 0.05 17.4 0.8 17.4 4.35 0.04 0.17 0.36 0.02 0.12 0.24 0.00 0.02 0.04 17.0 0.4 17.4 4.45 0.03 0.16 0.36 0.02 0.11 0.26 0.00 0.02 0.04 16.8 0.5 17.5 4.55 0.03 0.14 0.35 0.02 0.11 0.27 0.00 0.02 0.05 16.2 0.4 17.6 4.65 0.02 0.12 0.35 0.02 0.12 0.30 0.00 0.02 0.05 15.4 0.4 17.8 4.75 0.03 0.13 0.32 0.02 0.13 0.28 0.00 0.03 0.05 15.9 0.5 21.2 6.15 0.05 0.20 0.30 0.02 0.13 0.24 0.00 0.01 0.05 16.6 0.4 24.8 7.05 0.05 0.15 0.32 0.04 0.14 0.24 0.00 0.01 0.05 15.1 0.7 26.1 7.45 0.05 0.19 0.27 0.03 0.17 0.22 0.00 0.02 0.05 16.0 0.5 27.1 7.75 0.05 0.17 0.28 0.05 0.20 0.18 0.00 0.01 0.04 14.8 0.9 27.9 7.95 0.06 0.14 0.24 0.07 0.21 0.19 0.01 0.03 0.06 13.9 1.4 28.8 8.15 0.07 0.15 0.25 0.05 0.19 0.21 0.00 0.02 0.05 14.6 0.9 30.1 8.45 0.07 0.15 0.21 0.06 0.22 0.20 0.00 0.03 0.06 14.0 1.1 31.4 8.75 0.06 0.15 0.23 0.04 0.20 0.21 0.00 0.02 0.07 14.3 0.7 31.7 8.85 0.06 0.15 0.24 0.05 0.22 0.21 0.00 0.01 0.05 13.6 1.0 32.0 8.95 0.07 0.18 0.21 0.05 0.21 0.19 0.01 0.02 0.06 14.6 0.9 32.7 9.25 0.07 0.19 0.21 0.05 0.21 0.19 0.01 0.02 0.06 14.8 0.9 33.2 9.45 0.07 0.18 0.22 0.05 0.21 0.18 0.01 0.02 0.06 14.8 0.9 33.4 9.55 0.07 0.18 0.24 0.04 0.22 0.18 0.00 0.01 0.05 14.7 0.8 33.9 9.75 0.05 0.17 0.26 0.03 0.23 0.22 0.00 0.01 0.02 14.7 0.7 34.3 9.95 0.08 0.18 0.20 0.06 0.23 0.16 0.01 0.03 0.06 14.7 1.1 34.9 10.15 0.06 0.18 0.23 0.04 0.21 0.19 0.00 0.02 0.05 15.1 0.7 35.3 10.35 0.07 0.18 0.26 0.04 0.18 0.20 0.01 0.02 0.05 15.6 0.7 35.6 10.45 0.06 0.15 0.29 0.04 0.15 0.23 0.01 0.02 0.05 15.4 0.7 36.1 10.65 0.07 0.21 0.28 0.02 0.15 0.22 0.00 0.01 0.05 16.6 0.4 36.5 10.85 0.07 0.19 0.29 0.02 0.12 0.23 0.01 0.01 0.05 16.8 0.4 37.2 11.15 0.07 0.22 0.30 0.02 0.14 0.21 0.00 0.00 0.05 16.6 0.5 37.8 11.35 0.06 0.21 0.29 0.02 0.14 0.22 0.00 0.00 0.06 16.2 0.5 38.7 11.65 0.09 0.23 0.27 0.02 0.13 0.20 0.00 0.00 0.07 16.7 0.6 39.3 11.85 0.08 0.21 0.26 0.00 0.15 0.23 0.00 0.00 0.08 16.1 0.6 39.9 12.05 0.11 0.23 0.28 0.02 0.11 0.19 0.00 0.00 0.06 17.5 0.6 40.2 12.15 0.11 0.24 0.30 0.00 0.09 0.20 0.00 0.00 0.06 18.5 0.7 41.0 12.35 0.14 0.26 0.26 0.01 0.09 0.18 0.00 0.00 0.06 18.7 0.7 41.9 12.55 0.14 0.24 0.25 0.01 0.12 0.18 0.00 0.00 0.05 18.0 0.6 42.9 12.75 0.14 0.24 0.23 0.01 0.12 0.17 0.01 0.01 0.05 18.5 0.5 43.4 12.85 0.14 0.24 0.24 0.00 0.10 0.19 0.01 0.01 0.05 19.0 0.7 43.8 12.95 0.11 0.19 0.34 0.00 0.08 0.24 0.00 0.00 0.04 17.9 0.5 44.3 13.05 0.04 0.22 0.35 0.00 0.10 0.25 0.00 0.00 0.05 17.5 0.6 44.8 13.35 0.03 0.20 0.33 0.00 0.11 0.28 0.00 0.00 0.05 16.7 0.6 45.8 13.65 0.03 0.19 0.34 0.01 0.10 0.27 0.00 0.00 0.05 16.6 0.5 47.2 13.85 0.03 0.22 0.29 0.01 0.12 0.26 0.00 0.01 0.05 17.1 0.5 48.0 14.15 0.04 0.15 0.35 0.01 0.10 0.30 0.00 0.00 0.07 15.3 0.4 48.7 14.25 0.07 0.24 0.31 0.00 0.09 0.24 0.00 0.00 0.04 18.3 0.7 49.1 14.45 0.04 0.26 0.32 0.00 0.10 0.24 0.00 0.00 0.05 18.2 0.8 49.7 14.75 0.04 0.22 0.35 0.00 0.09 0.25 0.00 0.00 0.04 17.9 0.6 50.1 14.95 0.03 0.24 0.33 0.00 0.09 0.25 0.00 0.00 0.05 18.0 0.7 50.9 15.15 0.21 0.19 0.29 0.00 0.07 0.21 0.00 0.00 0.04 18.5 0.5 52.3 15.45 0.04 0.23 0.28 0.01 0.11 0.27 0.00 0.00 0.05 16.9 0.6 53.4 15.65 0.09 0.22 0.27 0.01 0.12 0.25 0.00 0.00 0.04 17.0 0.5 54.9 15.95 0.05 0.26 0.25 0.02 0.14 0.23 0.00 0.01 0.04 17.5 0.6 56.0 16.15 0.07 0.26 0.26 0.02 0.13 0.21 0.00 0.01 0.04 17.9 0.6 57.4 16.45 0.06 0.27 0.28 0.03 0.12 0.20 0.00 0.01 0.04 18.1 0.7 57.9 16.65 0.07 0.28 0.27 0.03 0.12 0.18 0.00 0.01 0.04 18.5 0.8 58.5 16.95 0.07 0.30 0.26 0.03 0.13 0.17 0.00 0.01 0.03 18.8 0.8 58.9 17.15 0.11 0.28 0.26 0.03 0.12 0.15 0.00 0.01 0.03 19.0 0.8 59.2 17.35 0.08 0.29 0.31 0.02 0.10 0.16 0.00 0.01 0.03 19.8 0.8 59.3 17.45 0.05 0.28 0.32 0.02 0.10 0.18 0.00 0.01 0.04 19.2 0.8 59.8 17.75 0.05 0.25 0.36 0.01 0.10 0.19 0.00 0.00 0.03 18.8 0.6 60.1 17.95 0.03 0.24 0.35 0.01 0.11 0.21 0.00 0.00 0.04 18.0 0.6 61.1 18.45 0.03 0.21 0.37 0.00 0.10 0.24 0.00 0.00 0.05 17.5 0.6 63.2 18.95 0.03 0.18 0.36 0.00 0.10 0.27 0.00 0.00 0.06 16.6 0.5 64.4 19.25 0.19 0.15 0.29 0.00 0.07 0.25 0.00 0.00 0.05 17.2 0.4 65.3 19.45 0.06 0.19 0.34 0.00 0.11 0.25 0.00 0.00 0.05 16.9 0.5 66.3 19.95 0.10 0.14 0.31 0.01 0.09 0.27 0.00 0.00 0.06 16.0 0.4 73.1 24.25 0.03 0.18 0.26 0.01 0.13 0.28 0.00 0.00 0.10 14.8 0.4 75.1 24.45 0.03 0.16 0.30 0.01 0.11 0.30 0.00 0.00 0.10 14.7 0.4 75.6 24.65 0.02 0.18 0.31 0.00 0.09 0.28 0.00 0.00 0.12 15.6 0.5 76.1 24.85 0.02 0.23 0.28 0.00 0.12 0.24 0.00 0.00 0.11 16.3 0.6 76.6 25.05 0.02 0.20 0.33 0.00 0.10 0.25 0.00 0.00 0.09 16.6 0.5 77.1 25.25 0.03 0.16 0.27 0.00 0.11 0.31 0.00 0.00 0.12 14.5 0.5 77.6 25.45 0.04 0.18 0.23 0.01 0.13 0.29 0.00 0.00 0.12 14.3 0.4 78.1 25.65 0.04 0.20 0.25 0.02 0.13 0.25 0.00 0.00 0.11 15.0 0.5 78.6 25.85 0.05 0.21 0.27 0.02 0.13 0.23 0.00 0.00 0.09 15.7 0.5 79.1 26.05 0.05 0.22 0.31 0.02 0.11 0.22 0.00 0.00 0.07 16.8 0.6 79.7 26.25 0.05 0.28 0.28 0.01 0.13 0.20 0.00 0.00 0.04 18.2 0.7 80.7 26.45 0.06 0.31 0.28 0.02 0.13 0.17 0.00 0.00 0.03 18.9 0.8 81.2 26.55 0.05 0.27 0.30 0.01 0.11 0.19 0.00 0.00 0.06 18.3 0.7 82.6 26.85 0.06 0.29 0.32 0.01 0.09 0.17 0.00 0.00 0.05 19.4 0.8 83.6 27.05 0.07 0.29 0.35 0.01 0.08 0.16 0.00 0.00 0.05 19.7 0.8 84.6 27.25 0.05 0.26 0.39 0.01 0.07 0.17 0.00 0.00 0.04 19.6 0.7 86.1 27.55 0.04 0.25 0.41 0.01 0.08 0.18 0.00 0.00 0.03 19.3 0.7 86.6 27.65 0.05 0.22 0.42 0.01 0.07 0.19 0.00 0.00 0.04 18.8 0.6 88.3 27.85 0.04 0.25 0.40 0.01 0.08 0.18 0.00 0.00 0.03 19.3 0.7 90.0 28.05 0.03 0.22 0.41 0.00 0.09 0.22 0.00 0.00 0.05 18.1 0.6 91.7 28.25 0.03 0.21 0.40 0.01 0.08 0.23 0.00 0.00 0.05 17.8 0.6 93.4 28.45 0.02 0.19 0.40 0.00 0.09 0.25 0.00 0.00 0.05 17.4 0.5 94.5 28.65 0.02 0.20 0.37 0.00 0.10 0.26 0.00 0.00 0.06 17.0 0.6 94.9 28.85 0.03 0.16 0.38 0.00 0.08 0.28 0.00 0.00 0.07 16.4 0.5 95.2 29.05 0.02 0.16 0.38 0.01 0.09 0.27 0.00 0.00 0.06 16.2 0.4 95.3 29.25 0.04 0.24 0.31 0.01 0.11 0.24 0.00 0.00 0.05 17.4 0.6 95.4 29.35 0.04 0.27 0.32 0.01 0.11 0.20 0.00 0.00 0.04 18.5 0.7 97.0 29.65 0.05 0.29 0.34 0.01 0.10 0.18 0.00 0.00 0.04 19.2 0.8 98.1 29.85 0.05 0.30 0.37 0.01 0.08 0.15 0.00 0.00 0.03 20.3 0.9 99.2 30.05 0.06 0.28 0.37 0.01 0.07 0.16 0.00 0.00 0.04 20.0 0.8 100.3 30.25 0.07 0.29 0.39 0.01 0.07 0.14 0.00 0.00 0.02 20.7 0.9 101.3 30.45 0.08 0.33 0.36 0.01 0.08 0.12 0.00 0.00 0.02 21.3 1.0 101.9 30.55 0.08 0.26 0.42 0.01 0.06 0.16 0.00 0.00 0.02 20.3 0.8 104.9 30.85 0.11 0.27 0.41 0.02 0.06 0.12 0.00 0.00 0.02 20.6 0.8 107.3 31.05 0.11 0.28 0.35 0.02 0.09 0.13 0.00 0.00 0.03 19.8 0.8 112.9 31.25 0.08 0.24 0.36 0.02 0.10 0.17 0.00 0.00 0.03 18.6 0.6 115.9 31.35 0.05 0.21 0.35 0.00 0.10 0.18 0.02 0.05 0.04 20.4 1.2 117.8 31.45 0.06 0.21 0.38 0.02 0.11 0.17 0.00 0.00 0.04 17.8 0.5 119.9 31.75 0.04 0.18 0.42 0.01 0.08 0.21 0.00 0.00 0.05 17.6 0.4 120.6 31.85 0.04 0.18 0.42 0.02 0.09 0.21 0.00 0.00 0.05 17.1 0.5 121.9 32.05 0.04 0.17 0.43 0.01 0.08 0.21 0.00 0.00 0.04 17.7 0.4 123.3 32.25 0.05 0.20 0.42 0.00 0.09 0.20 0.00 0.00 0.04 18.3 0.5 124.0 32.45 0.04 0.24 0.43 0.00 0.09 0.21 0.00 0.00 0.00 19.4 0.7 124.5 32.55 0.04 0.22 0.46 0.00 0.08 0.20 0.00 0.00 0.00 19.5 0.6 126.2 32.85 0.04 0.21 0.44 0.00 0.07 0.19 0.00 0.00 0.03 19.2 0.6 126.7 32.95 0.05 0.22 0.46 0.00 0.08 0.19 0.00 0.00 0.00 19.6 0.6 127.1 33.05 0.05 0.22 0.46 0.00 0.07 0.19 0.00 0.00 0.00 19.8 0.7 127.6 33.15 0.04 0.19 0.47 0.00 0.06 0.21 0.00 0.00 0.03 18.8 0.6 127.9 33.25 0.04 0.18 0.46 0.00 0.07 0.22 0.00 0.00 0.03 18.4 0.5 128.4 33.35 0.04 0.19 0.45 0.01 0.06 0.22 0.00 0.00 0.03 18.4 0.5 128.8 33.45 0.05 0.20 0.43 0.00 0.07 0.21 0.00 0.00 0.03 18.8 0.6 129.2 33.55 0.04 0.20 0.46 0.00 0.07 0.22 0.00 0.00 0.00 19.2 0.6 129.6 33.65 0.03 0.16 0.45 0.00 0.06 0.26 0.00 0.00 0.04 17.6 0.5 130.0 33.75 0.04 0.20 0.41 0.01 0.07 0.22 0.00 0.00 0.04 18.2 0.5 130.9 34.05 0.03 0.20 0.41 0.00 0.07 0.24 0.00 0.00 0.05 18.0 0.6 131.1 34.15 0.04 0.19 0.42 0.00 0.07 0.23 0.00 0.00 0.05 18.0 0.5 131.3 34.25 0.04 0.18 0.43 0.01 0.06 0.25 0.00 0.00 0.05 17.5 0.5 131.5 34.35 0.02 0.15 0.42 0.00 0.07 0.29 0.00 0.00 0.05 16.7 0.5