# Global Database of Borehole Temperatures and Climate Reconstructions - UA-Dolina613 #--------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #--------------------------------------------------------------- # # 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/1001064 # Online_Resource: http://www.earth.lsa.umich.edu/climate/RECONSTRUCTION/UA-Dolina613.html # # Archive: Borehole # # Parameter_Keywords: reconstruction #------------------------- # Contribution_Date # Date: 2016-10-16 #------------------------- # Title # Study_Name: Global Database of Borehole Temperatures and Climate Reconstructions - UA-Dolina613 #------------------------- # Investigators # Investigators: Huang, S.; Pollack, H.N.; Shen, P.Y. #------------------------- # Description_Notes_and_Keywords # Description: This project has as its goal the design, assembly, analysis and interpretation of geothermal observations on # continents relevant to understanding the nature and causes of climate change over the past five centuries. The project was # inititated by the Geothermal Laboratory of the University of Michigan, USA. Important collaborations have been developed # with the Geophysical Institute of the Czech Academy of Sciences, and with a working group of the International Heat Flow # Commission of IASPEI. Funding for this project has come from the U.S. National Science Foundation, the U.S. National # Oceanic and Atmospheric Administration, the International Geological Correlation Program, and the Czech - U.S. Science and # Technology Program. The principal components of the database are: # (1) Basic geothermal observations from field surveys and laboratory measurements, principally comprising borehole # temperature logs and thermophysical properties. This section includes data only from boreholes at least 200 m deep. The # data listed are restricted to the range 20-600 meters. Data above 20 m have been omitted because they include annual # variability, and data below 600 m have not been included because they contain no information about the past 500 # years.Quality control measures have occasionally required the deletion of other data within the 20-600 m range. # (2) A five-century ground surface temperature history derived for each site by a standardized inversion procedure # operating on the basic observations. The derived history is presented as century-long temperature trends for each of the # past five centuries. This representation emphasizes longer term variations of the climate history, and thus is # complementary to high resolution proxies such as tree rings, ice cores, corals and lake sediments. # (3) The name of the person who can be contacted to learn more about the data and the site. This is either the name of the # original investigator who made the observations, or the name of a regional or national data compiler. Some data remain # proprietary, and therefore are not accessible directly from this database. Database users desiring access to these data # should request the data directly from the person listed as the data contact. A list of investigators engaged in climate # studies involving geothermal data can be found at the original web site of this database at the University of Michigan. # # Updated version of dataset submitted by Huang in October 2016. #-------------------- # Publication # Authors: Huang, S., Pollack, H. N., and Shen, P.Y. # Published_Date_or_Year: 2000-02-17 # Published_Title: Temperature trends over the past five centuries reconstructed from borehole temperatures # Journal_Name: Nature # Volume: 403 # Edition: # Issue: # Pages: 756-758 # DOI: 10.1038/35001556 # Abstract: For an accurate assessment of the relative roles of natural variability and anthropogenic influence in the Earth's climate, reconstructions of past temperatures from the pre-industrial as well as the industrial period are essential. But instrumental records are typically available for no more than the past 150 years. Therefore reconstructions of pre-industrial climate rely principally on traditional climate proxy records, each with particular strengths and limitations in representing climatic variability. Subsurface temperatures comprise an independent archive of past surface temperature changes that is complementary to both the instrumental record and the climate proxies. Here we use present-day temperatures in 616 boreholes from all continents except Antarctica to reconstruct century-long trends in temperatures over the past 500 years at global, hemispheric and continental scales. The results confirm the unusual warming of the twentieth century revealed by the instrumental record6, but suggest that the cumulative change over the past five centuries amounts to about 1 K, exceeding recent estimates from conventional climate proxies. The strength of temperature reconstructions from boreholes lies in the detection of long-term trends, complementary to conventional climate proxies, but to obtain a complete picture of past warming, the differences between the approaches need to be investigated in detail. #---------------------- # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: 1202673 #---------------------- # Site_Information # Site_Name: UA-Dolina613 # Location: Ukraine # Northernmost_Latitude: 49.03 # Southernmost_Latitude: 49.03 # Easternmost_Longitude: 23.97 # Westernmost_Longitude: 23.97 # Elevation: #------------------------- # Data_Collection # Collection_Name: UA-Dolina613-borehole # Earliest_Year: 1500 # Most_Recent_Year: 1991 # Time_Unit: AD # Core_Length: # Notes: Data Contact: R. Kutas (UA) # Pre-1500 Baseline GST (oC): 6.844 # Date (Century) Rate of GST Change(K/100a) # 16th 1.303 # 17th 1.007 # 18th 0.460 # 19th -0.322 # 20th -0.844 # Date of logging (Year): 1990.0000 # Thermal Conductivity (W/m/K): 2.50 # Geothermal Gradient (K/km): 21.04 # #------------------------- # Chronology_Information # Chronology: #------------------------- # Variables # # Data variables follow (marked with '##') # Variables list: shortname-tab- 9 components: what, material, error, units, seasonality, archive, detail, method, Temperature for Character or Numeric data ## depth_m depth,,, m,,,below surface,,N ## temp_meas temperature,,,degrees Celsius,,borehole,measured,,N #------------------------- # Data: # Missing Values: NA depth_m temp_meas 20.00 9.570 25.00 9.570 30.00 9.590 35.00 9.600 40.00 9.620 45.00 9.650 50.00 9.670 55.00 9.710 60.00 9.760 65.00 9.810 70.00 9.860 75.00 9.910 80.00 9.960 85.00 10.020 90.00 10.090 95.00 10.160 100.00 10.220 105.00 10.280 110.00 10.350 115.00 10.420 120.00 10.490 125.00 10.560 130.00 10.620 135.00 10.670 140.00 10.740 145.00 10.790 150.00 10.860 155.00 10.920 160.00 10.990 165.00 11.060 170.00 11.120 175.00 11.180 180.00 11.260 185.00 11.340 190.00 11.410 195.00 11.490 200.00 11.540 205.00 11.610 210.00 11.690 215.00 11.770 220.00 11.860 225.00 11.950 230.00 12.040 235.00 12.120 240.00 12.210 245.00 12.310 250.00 12.380 255.00 12.470 260.00 12.570 265.00 12.650 270.00 12.740 275.00 12.840 280.00 12.930 285.00 13.020 290.00 13.120 295.00 13.210 300.00 13.310 305.00 13.400 310.00 13.500 315.00 13.590 320.00 13.680 325.00 13.770 330.00 13.870 335.00 13.970 340.00 14.080 345.00 14.180 350.00 14.280 355.00 14.380 360.00 14.480 365.00 14.580 370.00 14.680 375.00 14.750 380.00 14.830 385.00 14.940 390.00 15.050 395.00 15.150 400.00 15.260 405.00 15.370 410.00 15.470 415.00 15.570 420.00 15.680 425.00 15.780 430.00 15.890 435.00 16.000 440.00 16.120 445.00 16.220 450.00 16.340 455.00 16.440 460.00 16.560 465.00 16.630 470.00 16.740 475.00 16.850 480.00 16.960 485.00 17.070 490.00 17.200 495.00 17.320 500.00 17.410 505.00 17.520 510.00 17.600 515.00 17.690 520.00 17.790 525.00 17.880 530.00 17.980 535.00 18.110 540.00 18.220 545.00 18.320 550.00 18.420 555.00 18.530 560.00 18.630 565.00 18.730 570.00 18.830 575.00 18.940 580.00 19.040 585.00 19.130 590.00 19.240 595.00 19.360 600.00 19.480