# Sulu Sea Core MD97-2141 Globoratalia tumida d18O and Mg/Ca Data Spanning Marine Isotope Stages 3-5 #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/36695 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-ocean-36695.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Paleoceanography # # Dataset_DOI: 10.25921/b285-4433 # # Science_Keywords: Sea Level Reconstruction, Tropics, Sea Surface Temperature Reconstruction #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleocean/pacific/weiss2022/weiss2022-2141-tumida.txt # Data_Download_Description: NOAA Template File; MD97-2141 G. tumida Data # #--------------------------------------- # Contribution_Date # Date: 2022-07-26 #--------------------------------------- # File_Last_Modified_Date # Date: 2025-05-27 #--------------------------------------- # Title # Study_Name: Sulu Sea Core MD97-2141 Globoratalia tumida d18O and Mg/Ca Data Spanning Marine Isotope Stages 3-5 #--------------------------------------- # Investigators # Investigators: Weiss, Thomas L.; Linsley, Braddock K.; Gordon, Arnold, L.; Rosenthal, Yair; Dannenmann-Di Palma, Stefanie #--------------------------------------- # Description_Notes_and_Keywords # Description: All G. tumida data were published in Weiss et al. 2022. G. ruber Mg/Ca and d18Ow data were also published in Weiss et al. 2022. All G. ruber d18O data and G. ruber Mg/Ca and d18Ow data from 31.43-70.80 ka were published in Dannenmann et al. 2003 and Oppo et al. 2003 using the original age model from de Garidel-Thoron et al. 2001. G. tumida and and G. ruber data are presented here on the updated age model from Weiss et al. 2021 that is based on recalibration of the tie points from de Garidel-Thoron et al. 2001. # Provided Keywords: oxygen isotopes, thermocline, Mg/Ca based temperture #--------------------------------------- # Publication # Authors: Weiss, Thomas L.; Linsley, Braddock K.; Gordon, Arnold, L.; Rosenthal, Yair; Dannenmann-Di Palma, Stefanie # Published_Date_or_Year: 2022-09-01 # Published_Title: Constraints on Marine Isotope Stage 3 and 5 Sea Level from the Flooding History of the Karimata Strit in Indonesia # Journal_Name: Paleoceanography and Paleoclimatology # Volume: 37 # Edition: # Issue: 9 # Pages: # Report_Number: e2021PA004361 # DOI: 10.1029/2021PA004361 # Online_Resource: # Full_Citation: # Abstract: Global mean sea level (GMSL) during intermediate interglacial Marine Isotope Stage 3 (MIS 3) (60-26 ka) has proven difficult to constrain. Paleo-sea level estimates based on ice margin, modeling, and paleo-shoreline reconstructions indicate that MIS 3 GMSL was substantially higher than reconstructed from deep-ocean benthic foraminifera oxygen isotope (d18O) and coral records, implying much smaller ice sheets during MIS 3. Here we use the d18O and Mg/Ca chemistry of surface and thermocline dwelling foraminifera in the Sulu Sea in the western Pacific margins to estimate relative changes of the influx of South China Sea surface flow through the Sulu Sea over the last 140 ka. We show that this South China Sea throughflow is controlled in-part by changes in GMSL modulating the depth of the 36 m deep Karimata Strait at the southern end of the South China Sea. We constrain maximum allowable GMSL at the beginning and end of MIS 3 to -22±6 m and -29±5 m respectively and minimum allowable GMSL during interglacial stages MIS 5c and 5a (117-72 ka) to range from -3±8 to -8±8 m and -11±7 to -12±7 m respectively. Our results constrain MIS 3 GMSL, but do not rule out higher MIS 3 ice margin, modeling, and paleo-shoreline-based MIS 3 GMSL estimates or lower coral and seawater d18O-based estimates. Our results favor the highest MIS 5a and 5c GMSL estimates and confirm that the Sunda Shelf served as a land-bridge for human and megafauna migration during MIS 3 when humans first arrived in Borneo. #--------------------------------------- # Publication # Authors: de Garidel-Thoron, Thibault; Beaufort, Luc # Published_Date_or_Year: 2001-10-01 # Published_Title: Millenial-scale dynamics of the East Asian winter monsson during the last 200,000 years # Journal_Name: Paleoceanography # Volume: 16 # Edition: 5 # Issue: # Pages: 491-502 # Report_Number: # DOI: 10.1029/2000PA000557 # Online_Resource: # Full_Citation: # Abstract: The primary productivity dynamics of the last 200,000 years in the Sulu Sea was reconstructed using abundance of the coccolithophore Florisphaera profunda in the IMAGES MD97-2141 core. We find that primary productivity was enhanced during glacial periods, which we suggest is due to a stronger East Asian winter monsoon. During the last 80 kyr, eight significant increases in primary productivity (PP) in the Sulu Sea are similar to East Asian winter monsson changes recorded in Chinese Loess. The PP maxima are not linked with Heinrich events (HE) in the North Atlantic, although four PP peaks are synchronous with HE. The PP oscillations have frequencies near those of the Dansgaard-Oeschger cycles in Northen Hemisphere ice records and indicate a teleconnection of the East Asian winter monsoon with Greenland climate. In this Sulu Se recod the East Asian winter monsoon oscillates with periodicities of ~6, 4.2-3.4, 2.3, and 1.5 kyr. In particular, the 1.5 kyr cycle exhibits a strong and pervasive signal from stage 6 to the Holocene without any ice volume modulation. This stationarity suggests that the 1.5 kyr cycle is not driven by some high-latitude forcing. #--------------------------------------- # Publication # Authors: Dannenmann, S., Linsley, B. K., Oppo, D. W., Rosenthal, Y., & Beaufort, L. # Published_Date_or_Year: 2003-01-01 # Published_Title: East Asian monsoon forcing of suborbital variability in the Sulu Sea during Marine Isotope Stage 3: Link to Northern Hemisphere climate. # Journal_Name: Geochemistry, Geophysics, Geosystems # Volume: 4 # Edition: 1 # Issue: # Pages: 1-13 # Report_Number: # DOI: 10.1029/2002GC000390 # Online_Resource: # Full_Citation: # Abstract: We have generated a new high-resolution record of variations in planktonic foraminiferal oxygen isotopes (δ18O) and Mg/Ca from a sediment core (IMAGES 97-2141) in the Sulu Sea located in the Philippine archipelago of western tropical Pacific. This record reveals distinct, suborbital-scale δ18O changes, most notably during Marine Isotope Stage 3 (MIS3) (∼30,000 to 60,000 years B.P.). The amplitudes of these δ18O fluctuations (0.4 to 0.7‰) exceed that which can be attributed to sea level changes and must be due to changes in sea surface conditions. In the same interval, variations in planktonic foraminifera Mg/Ca suggest that suborbital surface ocean temperature variations of 1 to 1.5°C in the Sulu Sea were not in phase with δ18O. Combined, this evidence indicates that the MIS3 millennial δ18O events in the Sulu Sea were primarily the result of changes in surface water salinity, which today is directly related to the East Asian Monsoon (EAM) and its influence on the balance between surface water contributions from the South China Sea and Western Pacific Warm Pool (WPWP). Within dating uncertainties the MIS3 Sulu Sea δ18O suborbital variability indicates that times of fresher surface conditions in the Sulu Sea coincide with similar conditions in the WPWP [Stott et al., 2002] and also with intensifications of the summer EAM as recorded in the U-Th dated Chinese (Hulu Cave) speleothem δ18O record [Wang et al., 2001] and thus by inference with interstadials in the Greenland Ice core records. Combined, these results indicate that pronounced suborbital variability in the summer EAM and Intertropical Convergence Zone (ITCZ) during MIS3 was tightly coupled with climate conditions in the northern high latitudes. #--------------------------------------- # Publication # Authors: Oppo, D. W., Linsley, B. K., Rosenthal, Y., Dannenmann, S., & Beaufort, L. # Published_Date_or_Year: 2003-01-01 # Published_Title: Orbital and suborbital climate variability in the Sulu Sea, western tropical Pacific. # Journal_Name: Geochemistry, Geophysics, Geosystems # Volume: 4 # Edition: 1 # Issue: # Pages: 1-20 # Report_Number: # DOI: 10.1029/2001GC000260 # Online_Resource: # Full_Citation: # Abstract: A detailed record of planktic δ18O from a sediment core in the Sulu Sea, located between the South China Sea and the western Pacific warm pool, reveals that for the past 400 kyr (1 kyr = 1000 years), δ18O variability on orbital timescales is similar to that caused by changes in ice volume alone. This result indicates that in the Sulu Sea, temperature-driven changes in planktic δ18O on orbital times scales were generally compensated for by the effects of sea level and changes in seasonal monsoon intensity on the local freshwater budget, as well as by other changes in the tropical hydrologic cycle and their attendant effects on surface water δ18O. Increased freshening of the western tropical Pacific warm pool is reminiscent of La Niña conditions. However, we argue that the mean tropical climate state was not more La Niña-like than today on broader spatial scales. Suborbital variability occurred in the Sulu Sea throughout the past 400 kyr, suggesting little sensitivity to ice volume or to glacial-interglacial changes in tropical hydrology. Variations on 4–10 kyr timescales appear to be linked to those in the North Atlantic region, suggesting a common forcing of that variability. We suggest that Sulu Sea salinity variations were a response to suborbital climate variability in the North Atlantic region, transmitted via changes in the intensity of the East Asian summer monsoon. We suggest that a North Atlantic origin of that tropical suborbital variability can be reconciled with weak glacial amplification in the tropics if the tropical response is nonlinear. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: OCE-1736602, OCE-9710156, OCE-9987060 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Lamont-Doherty Earth Observatory Climate Center # Grant: #--------------------------------------- # Site_Information # Site_Name: MD97-2141 # Location: Sulu Sea # Northernmost_Latitude: 8.78 # Southernmost_Latitude: 8.78 # Easternmost_Longitude: 121.28 # Westernmost_Longitude: 121.28 # Elevation_m: -3633 #--------------------------------------- # Data_Collection # Collection_Name: MD97-2141 G.tumida Weiss2022 # First_Year: 127750 # Last_Year: 31660 # Time_Unit: calendar year before present # Core_Length_m: 36 # Parameter_Keywords: oxygen isotopes, trace metals in carbonates, reconstruction # Notes: #--------------------------------------- # Chronology_Information # Chronology: Radiocarbon # Chronology_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/templates/noaa-wds-paleo-14c-terms.csv # Chronology_Download_Description: Radiocarbon terms and definitions. # Chronology_Notes: Age model radiocarbon tie points newly updated in Weiss et al. 2022. The age model is based on orbital tuning older than the oldest radiocarbon tie point and was originally published in de Garidel-Thoron et al. 2001 # Rejection_Rationale: # Reservoir_Method: default CALIB 7.04 time-dependent reservoir correction of ∼400 years # Calibration_Method: Marine13 calibration curve from CALIB 7.04 # Age_Model_Method: # Missing_Values: # Chronology_Table: # depth_cm age_14C_BP1950 age_14C_1s_yr age_calib_BP1950 age_calib_neg1s_BP1950 age_calib_pos1s_BP1950 date_used material_dated lab_code calib_curve # 440 28000 130 31360 31244 31366 yes sacculifer (w/out sac) OS-17882 Marine13 # 487 30900 260 34458 34215 34691 yes ruber (white) OS-17912 Marine13 # 506.5 33000 310 36561 36117 36934 no sacculifer (w/out sac) OS-17917 Marine13 # 543 33600 590 37398 36655 38202 no sacculifer (w/out sac) OS-17911 Marine13 # 553 34300 390 38308 37803 38831 yes sacculifer (w/out sac) OS-17915 Marine13 # 594 36900 460 41087 40664 41566 yes sacculifer (w/out sac) OS-17918 Marine13 #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## depth_cm depth,,,centimeter,,paleoceanography; climate reconstructions,,,N, ## age_ka age,,,calendar kiloyear before present,,paleoceanography; climate reconstructions,,,N, ## d18O delta 18O,Globorotalia tumida,,per mil VPDB,,paleoceanography,,,N, ## Mg/Ca magnesium/calcium,Globorotalia tumida,,millimole per mole,,paleoceanography,,,N, ## TWT sea water temperature,magnesium/calcium,,degree celsius,,paleoceanography; climate reconstructions,,,N,Thermocline water temperature calculated from Globorotalia tumida magnesium/calcium ## TWT_err sea water temperature,magnesium/calcium,one standard deviation,degree celsius,,paleoceanography; climate reconstructions,,,N,Thermocline water temperature calculated from Globorotalia tumida magnesium/calcium ## d18Ow delta 18O,sea water; magnsium/calcium; delta 18O,,per mil VSMOW,,paleoceanography; climate reconstructions,,,N,calculated from Globorotalia tumida magnesium/calcium and d18O ## d18Ow_err delta 18O,sea water; magnsium/calcium; delta 18O,one standard deviation,per mil VSMOW,,paleoceanography; climate reconstructions,,,N,calculated from Globorotalia tumida magnesium/calcium and d18O #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: -999 depth_cm age_ka d18O Mg/Ca TWT TWT_err d18Ow d18Ow_err 444.5 31.66 -0.10 -999 -999 -999 -999 -999 450 32.02 -0.03 2.10 18.99 0.94 0.76 0.23 455 32.35 -0.01 -999 -999 -999 -999 -999 460 32.68 -0.26 -999 -999 -999 -999 -999 465 33.01 0.14 -999 -999 -999 -999 -999 470 33.34 0.12 1.97 18.26 0.93 0.75 0.23 475 33.67 0.07 -999 -999 -999 -999 -999 479.5 33.96 -0.25 -999 -999 -999 -999 -999 485 34.33 -0.01 -999 -999 -999 -999 -999 490 34.63 -0.02 1.98 18.35 0.93 0.64 0.23 495 34.93 -0.31 -999 -999 -999 -999 -999 500 35.22 -0.27 -999 -999 -999 -999 -999 505 35.51 -0.25 -999 -999 -999 -999 -999 510 35.80 -0.22 1.99 18.41 0.93 0.45 0.23 515 36.09 -0.32 -999 -999 -999 -999 -999 519.5 36.35 -0.12 -999 -999 -999 -999 -999 525 36.68 0.07 -999 -999 -999 -999 -999 530 36.97 0.05 1.87 17.72 0.92 0.58 0.23 535 37.26 0.09 -999 -999 -999 -999 -999 540 37.55 0.13 -999 -999 -999 -999 -999 545 37.84 -0.22 -999 -999 -999 -999 -999 550 38.13 -0.11 1.87 17.73 0.92 0.42 0.23 555 38.44 -0.35 -999 -999 -999 -999 -999 560 38.78 -0.26 -999 -999 -999 -999 -999 565 39.12 -0.27 -999 -999 -999 -999 -999 570 39.46 -0.07 2.16 19.30 0.95 0.78 0.24 575 39.80 0.02 -999 -999 -999 -999 -999 580 40.14 -0.01 -999 -999 -999 -999 -999 585 40.48 -0.31 -999 -999 -999 -999 -999 590 40.82 -0.22 2.11 19.06 0.95 0.58 0.24 595 41.19 -0.21 -999 -999 -999 -999 -999 600 41.47 -0.14 -999 -999 -999 -999 -999 605 41.76 0.03 -999 -999 -999 -999 -999 610 42.05 0.05 1.95 18.18 0.93 0.67 0.23 615 42.34 -0.07 -999 -999 -999 -999 -999 620 42.62 -0.19 -999 -999 -999 -999 -999 625 42.91 -0.19 -999 -999 -999 -999 -999 630 43.20 -0.17 1.91 17.96 0.92 0.41 0.23 635 43.49 -0.30 -999 -999 -999 -999 -999 640 43.77 -0.18 -999 -999 -999 -999 -999 645 44.06 -0.09 -999 -999 -999 -999 -999 650 44.35 -0.22 1.68 16.50 0.89 0.05 0.22 655 44.64 -0.07 -999 -999 -999 -999 -999 660 44.92 0.16 -999 -999 -999 -999 -999 675 45.15 -0.20 1.66 16.39 0.89 0.05 0.22 680 45.44 -0.10 -999 -999 -999 -999 -999 685 45.73 -0.05 -999 -999 -999 -999 -999 690 46.01 0.23 -999 -999 -999 -999 -999 695 46.30 -0.07 2.20 19.49 0.96 0.82 0.24 700 46.59 -0.02 -999 -999 -999 -999 -999 705 46.88 -0.07 -999 -999 -999 -999 -999 710 47.16 0.16 -999 -999 -999 -999 -999 715 47.45 -0.14 1.87 17.70 0.92 0.38 0.23 720 47.74 -0.17 -999 -999 -999 -999 -999 725 48.03 0.07 -999 -999 -999 -999 -999 730 48.31 -0.19 -999 -999 -999 -999 -999 735 48.60 -0.16 1.96 18.21 0.93 0.47 0.23 740 48.89 -0.08 -999 -999 -999 -999 -999 745 49.18 0.07 -999 -999 -999 -999 -999 750 49.46 -0.28 -999 -999 -999 -999 -999 755 49.75 -0.37 2.03 18.63 0.94 0.35 0.23 760 50.04 -0.56 -999 -999 -999 -999 -999 765 50.33 -0.30 -999 -999 -999 -999 -999 770 50.61 -0.42 -999 -999 -999 -999 -999 775 50.90 -0.45 1.77 17.07 0.90 -0.06 0.23 780 51.19 -0.39 -999 -999 -999 -999 -999 785 51.47 -0.21 -999 -999 -999 -999 -999 790 51.76 -0.24 -999 -999 -999 -999 -999 795 52.05 -0.26 1.92 18.02 0.92 0.33 0.23 800 52.34 -0.45 -999 -999 -999 -999 -999 805 52.63 -0.25 -999 -999 -999 -999 -999 810 52.91 -0.36 -999 -999 -999 -999 -999 815 53.20 -0.37 1.90 17.86 0.92 0.18 0.23 820 53.49 -0.42 -999 -999 -999 -999 -999 825 53.77 -0.03 -999 -999 -999 -999 -999 830 54.06 -0.17 -999 -999 -999 -999 -999 835 54.35 -0.28 1.64 16.25 0.89 -0.06 0.22 840 54.64 -0.28 -999 -999 -999 -999 -999 845 54.92 -0.29 -999 -999 -999 -999 -999 850 55.21 -0.45 -999 -999 -999 -999 -999 855 55.50 -0.32 1.89 17.85 0.92 0.23 0.23 860 55.79 -0.29 -999 -999 -999 -999 -999 865 56.07 -0.27 -999 -999 -999 -999 -999 870 56.36 -0.31 -999 -999 -999 -999 -999 875 56.65 -0.52 2.00 18.44 0.93 0.16 0.23 880 56.94 -0.22 -999 -999 -999 -999 -999 885 57.22 -0.30 -999 -999 -999 -999 -999 890 57.51 -0.39 -999 -999 -999 -999 -999 895 57.80 -0.25 2.33 20.16 0.97 0.78 0.24 900 58.08 -0.31 -999 -999 -999 -999 -999 905 58.37 -0.52 -999 -999 -999 -999 -999 910 58.66 -0.31 -999 -999 -999 -999 -999 915 58.95 -0.42 2.33 20.14 0.97 0.61 0.24 920 59.23 -0.28 -999 -999 -999 -999 -999 921 59.29 -0.38 -999 -999 -999 -999 -999 922 59.35 -0.49 -999 -999 -999 -999 -999 923 59.41 -0.56 -999 -999 -999 -999 -999 924 59.46 -0.19 -999 -999 -999 -999 -999 925 59.52 -0.52 -999 -999 -999 -999 -999 926 59.58 -0.22 -999 -999 -999 -999 -999 927 59.64 -0.34 -999 -999 -999 -999 -999 928 59.69 -0.42 -999 -999 -999 -999 -999 929 59.75 -0.27 -999 -999 -999 -999 -999 930 59.81 -0.22 -999 -999 -999 -999 -999 931 59.87 -0.28 -999 -999 -999 -999 -999 932 59.92 -0.24 -999 -999 -999 -999 -999 936 60.15 -0.15 1.93 18.05 0.92 0.45 0.23 940 60.38 0.20 -999 -999 -999 -999 -999 941 60.44 -0.18 -999 -999 -999 -999 -999 942 60.58 -0.27 -999 -999 -999 -999 -999 943 60.73 -0.22 -999 -999 -999 -999 -999 944 60.87 -0.17 -999 -999 -999 -999 -999 945 61.01 0.08 -999 -999 -999 -999 -999 946 61.15 -0.36 -999 -999 -999 -999 -999 947 61.30 0.03 -999 -999 -999 -999 -999 948 61.44 -0.10 -999 -999 -999 -999 -999 949 61.58 -0.07 -999 -999 -999 -999 -999 950 61.72 0.04 -999 -999 -999 -999 -999 955 62.44 -0.13 2.01 18.51 0.93 0.56 0.23 960 63.15 -0.08 -999 -999 -999 -999 -999 965 63.86 0.18 -999 -999 -999 -999 -999 970 64.57 0.16 -999 -999 -999 -999 -999 975 65.40 0.04 2.00 18.44 0.93 0.71 0.23 980 66.40 -0.10 -999 -999 -999 -999 -999 990 68.40 -0.07 -999 -999 -999 -999 -999 995 69.40 -0.01 1.94 18.11 0.93 0.59 0.23 1000 70.40 0.17 -999 -999 -999 -999 -999 1005 71.40 -0.07 -999 -999 -999 -999 -999 1010 72.40 -0.07 -999 -999 -999 -999 -999 1011 72.60 -0.71 -999 -999 -999 -999 -999 1012 72.80 -0.35 -999 -999 -999 -999 -999 1013 73.00 -0.25 -999 -999 -999 -999 -999 1014 73.20 -0.02 -999 -999 -999 -999 -999 1015 73.40 0.15 2.06 18.78 0.94 0.89 0.23 1016 73.60 -0.06 -999 -999 -999 -999 -999 1017 73.80 -0.23 -999 -999 -999 -999 -999 1018 74.00 -0.36 -999 -999 -999 -999 -999 1020 74.40 -0.42 -999 -999 -999 -999 -999 1021 74.60 -0.40 -999 -999 -999 -999 -999 1022 74.80 -0.36 -999 -999 -999 -999 -999 1023 75.00 -0.33 -999 -999 -999 -999 -999 1024 75.20 -0.67 -999 -999 -999 -999 -999 1025 75.40 -0.49 -999 -999 -999 -999 -999 1026 75.60 -0.37 -999 -999 -999 -999 -999 1027 75.80 -0.52 -999 -999 -999 -999 -999 1028 76.00 -0.47 -999 -999 -999 -999 -999 1029 76.20 -0.34 -999 -999 -999 -999 -999 1030 76.40 -0.84 -999 -999 -999 -999 -999 1031 76.60 -0.86 -999 -999 -999 -999 -999 1032 76.80 -0.66 -999 -999 -999 -999 -999 1033 77.00 -0.61 -999 -999 -999 -999 -999 1034 77.20 -0.72 -999 -999 -999 -999 -999 1035 77.40 -0.73 2.07 18.84 0.94 0.03 0.23 1036 77.60 -1.13 -999 -999 -999 -999 -999 1037 77.80 -0.78 -999 -999 -999 -999 -999 1038 78.00 -0.48 -999 -999 -999 -999 -999 1039 78.10 -0.59 -999 -999 -999 -999 -999 1040 78.21 -0.03 -999 -999 -999 -999 -999 1041 78.31 -0.55 -999 -999 -999 -999 -999 1042 78.42 -0.91 -999 -999 -999 -999 -999 1043 78.52 -0.45 -999 -999 -999 -999 -999 1044 78.62 -0.34 -999 -999 -999 -999 -999 1045 78.73 -0.70 -999 -999 -999 -999 -999 1046 78.83 -0.70 -999 -999 -999 -999 -999 1047 78.94 -0.73 -999 -999 -999 -999 -999 1048 79.04 -0.71 -999 -999 -999 -999 -999 1049 79.14 -0.62 -999 -999 -999 -999 -999 1050 79.25 -0.71 -999 -999 -999 -999 -999 1055 79.77 -0.30 1.99 18.41 0.93 0.37 0.23 1060 80.29 -0.64 -999 -999 -999 -999 -999 1065 80.81 -0.69 -999 -999 -999 -999 -999 1070 81.33 -0.66 -999 -999 -999 -999 -999 1075 81.85 -0.56 1.87 17.68 0.92 -0.04 0.23 1080 82.37 -0.51 -999 -999 -999 -999 -999 1085 82.89 -0.19 -999 -999 -999 -999 -999 1090 83.41 -0.24 -999 -999 -999 -999 -999 1095 83.93 -0.32 1.85 17.59 0.91 0.17 0.23 1100 84.45 -0.44 -999 -999 -999 -999 -999 1105 84.97 -0.48 -999 -999 -999 -999 -999 1110 85.49 -0.19 -999 -999 -999 -999 -999 1115 86.00 -0.42 1.58 15.87 0.88 -0.28 0.22 1120 86.52 -0.65 -999 -999 -999 -999 -999 1125 87.04 -0.41 -999 -999 -999 -999 -999 1130 87.56 -0.66 -999 -999 -999 -999 -999 1135 88.08 -0.71 2.10 18.97 0.94 0.07 0.23 1140 88.60 -0.78 -999 -999 -999 -999 -999 1145 89.12 -1.00 -999 -999 -999 -999 -999 1150 89.64 -0.74 -999 -999 -999 -999 -999 1154 90.06 -0.99 1.80 17.25 0.91 -0.56 0.23 1160 90.68 -0.96 -999 -999 -999 -999 -999 1165 91.20 -0.86 -999 -999 -999 -999 -999 1170 91.72 -0.76 -999 -999 -999 -999 -999 1175 92.24 -0.65 1.78 17.15 0.90 -0.25 0.23 1180 92.76 -0.88 -999 -999 -999 -999 -999 1185 93.28 -0.67 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