# Global Database of Borehole Temperatures and Climate Reconstructions #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite original reference when using these data, # plus the Online Resource and date accessed. # # Online_Resource: http://hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:1000596 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/huang2000/huang-2013-JP-Omiya.txt # # Reconstruction_temperature_graph_URL: http://www.earth.lsa.umich.edu/climate/RECONSTRUCTION/JP-Omiya.html # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Borehole #-------------------- # Contribution_Date # Date: 2013-07-26 #-------------------- # Title # Study_Name: Global Database of Borehole Temperatures and Climate Reconstructions #-------------------- # Investigators # Investigators: Huang, S.; Pollack, H.N.; Shen, P.Y. #-------------------- # Description_and_Notes # 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. # #-------------------- # 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: JP-Omiya # Location: Land>Asia>Eastern Asia # Country: Japan # Northernmost_Latitude: 35.91 # Southernmost_Latitude: 35.91 # Easternmost_Longitude: 139.63 # Westernmost_Longitude: 139.63 # Maximum Depth: 284.000 m #------------------ # Data_Collection # Collection_Name: JP-Omiya-borehole # Data contact: Makoto Taniguchi (JP) # Date of measurement (year): 2003.17 # Estimated prior steady state GST (°C): 14.6284 # Estimated mean conductivity (W/m/K): 1.36 # Estimated mean thermal gradient (K/km): 10.4 # Notes: #------------------ # Reconstruction_Temperature: # Pre-1500 baseline GST (°C): 15.080 # # Date_Century Estimated_GST_Change(°C) Notes # 16th -0.109 # 17th -0.172 # 18th -0.269 # 19th -0.273 # 20th 1.176 # # #---------------- # Variables # # Data variables follow (have no #) # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, Temperature for Character or Numeric data) Depth_m Depth Below Surface , , , m, , , , ,N Temperature_Celsius Measurement Temperature , , , Celsius degree, , , , ,N notes notes , , , , , , , ,N #---------------- # Data: # Data lines follow (have no #) # Data line format - 9-blank-spaced text, variable short name as header # Missing Values: Depth_m Temperature_Celsius Notes 28.00 15.620 30.00 15.570 32.00 15.530 34.00 15.490 36.00 15.460 38.00 15.450 40.00 15.430 42.00 15.420 44.00 15.410 46.00 15.410 48.00 15.410 50.00 15.410 52.00 15.420 54.00 15.420 56.00 15.430 58.00 15.430 60.00 15.440 62.00 15.450 64.00 15.450 66.00 15.470 68.00 15.470 70.00 15.490 72.00 15.500 74.00 15.510 76.00 15.520 78.00 15.530 80.00 15.550 82.00 15.570 84.00 15.590 86.00 15.590 88.00 15.600 90.00 15.610 92.00 15.620 94.00 15.630 96.00 15.650 98.00 15.670 100.00 15.680 102.00 15.700 104.00 15.710 106.00 15.720 108.00 15.740 110.00 15.760 112.00 15.790 114.00 15.810 116.00 15.830 118.00 15.860 120.00 15.880 122.00 15.900 124.00 15.940 126.00 15.950 128.00 15.970 130.00 16.000 132.00 16.030 134.00 16.060 136.00 16.080 138.00 16.110 140.00 16.140 142.00 16.170 144.00 16.200 146.00 16.250 148.00 16.280 150.00 16.300 152.00 16.310 154.00 16.320 156.00 16.340 158.00 16.350 160.00 16.370 162.00 16.380 164.00 16.400 166.00 16.410 168.00 16.420 170.00 16.430 172.00 16.450 174.00 16.470 176.00 16.480 178.00 16.500 180.00 16.520 182.00 16.540 184.00 16.550 186.00 16.560 188.00 16.590 190.00 16.600 192.00 16.620 194.00 16.650 196.00 16.670 198.00 16.690 200.00 16.700 202.00 16.730 204.00 16.750 206.00 16.770 208.00 16.790 210.00 16.810 212.00 16.830 214.00 16.850 216.00 16.890 218.00 16.900 220.00 16.940 222.00 16.970 224.00 16.990 226.00 17.010 228.00 17.020 230.00 17.030 232.00 17.050 234.00 17.070 236.00 17.090 238.00 17.100 240.00 17.120 242.00 17.140 244.00 17.160 246.00 17.170 248.00 17.190 250.00 17.210 252.00 17.220 254.00 17.240 256.00 17.260 258.00 17.280 260.00 17.300 262.00 17.320 264.00 17.340 266.00 17.360 268.00 17.380 270.00 17.400 272.00 17.420 274.00 17.440 276.00 17.460 278.00 17.500 280.00 17.540 282.00 17.560 284.00 17.570