# Northern Hemisphere Holocene Latitudinal Temperature Reconstructions #----------------------------------------------------------------------- # 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/25890 # Description: NOAA Landing Page # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/reconstructions/routson2019/ProxyRecords/hydroclimate/ # Description: NOAA location of the template # # Original_Source_URL: # Description: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Reconstructions # # Dataset DOI: # # Parameter_Keywords: hydroclimate #-------------------- # Contribution_Date # Date: 2019-03-27 #-------------------- # File_Last_Modified_Date # Date: 2019-03-27 #-------------------- # Title # Study_Name: Northern Hemisphere Holocene Latitudinal Temperature Reconstructions #-------------------- # Investigators # Investigators: Routson, C.C.; McKay, N.P.; Kaufman, D.S.; Erb, M.P.; Goosse, H.; Shuman, B.N.; Rodysill, J.R.; Ault, T. #-------------------- # Description_Notes_and_Keywords # Description: Composite latitude band (10S to 90N) temperature reconstructions for the Northern Hemisphere and tropics for the past 9,900 years, plus underlying proxy records. # Latitudinal temperature composites and proxy data and metadata are in Table S1. Mid-latitude hydroclimate proxy data and metadata are in Table S2. # # TableS1.xlsx contains: # 1.) metadata for each proxy record used in this analysis (PLEASE CITE ORIGINAL AUTHORS WHEN USING THEIR DATA). # 2.) Full references for each proxy record listed in the metadata tab # 3.) Data presented in Figure 3 including zonal temperature composites, latitudinal temperature gradient calculations, latitudinal insolation gradient, and mid-latitude hydroclimate composite # 4.) Raw temperature records as used in this study. Tabs/files are labeled by Site.Author.Year. These data include age and temperature reconstruction columns. # Some of these records were obtained from other syntheses efforts (e.g. Marcott et al., 2013) and the associated data (potentially not the original age model) are included here. # # TableS2.xlsx contains: # 1.) metadata for each proxy record used in this analysis (PLEASE CITE ORIGINAL AUTHORS WHEN USING THEIR DATA). # 2.) Full references for each proxy record listed in the metadata tab # 3.) Site level hydroclimate records used in this study. Tabs/files are labeled Site.Author.PubYear. These data include age and hydroclimate reconstruction columns. # Some of these records were obtained from other syntheses efforts and the associated data (potentially not the original age model) are included here. # Site names with “*” indicate records that are calibrated in units of mm/yr. # # Proxy Abreviations: # nitrogen 15 isotopes/argon 40 isotopes (15N/40AR) # glycerol dialkyle glycerol tetraethers (GDGT) # long chain diol index (LDI) # magnesium/calcium (Mg/Ca) # tree-ring width (TRW) # carbon 13 isotopes (d13C) # oxygen 18 isotopes (d18O) # loss on ignition (LOI) # strontium/calcium (Sr/Ca) # deuterium isotopes of leaf wax (dD) # records composed of two or more proxy types (hybrid) # #-------------------- # Publication # Authors: Cody C. Routson, Nicholas P. McKay, Darrell S. Kaufman, Michael P. Erb, Hugues Goosse, Bryan N. Shuman, Jessica R. Rodysill, Toby Ault # Published_Date_or_Year: 2019-03-27 # Published_Title: Mid-latitude net precipitation decreased with Arctic warming during the Holocene # Journal_Name: Nature # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: 10.1038/s41586-019-1060-3 # Online_Resource: https://www.nature.com/articles/s41586-019-1060-3 # Full_Citation: # Abstract: The latitudinal temperature gradient between the Equator and the poles influences atmospheric stability, the strength of the jet stream and extratropical cyclones. Recent global warming is weakening the annual surface gradient in the Northern Hemisphere by preferentially warming the high latitudes; however, the implications of these changes for mid-latitude climate remain uncertain. Here we show that a weaker latitudinal temperature gradient - that is, warming of the Arctic with respect to the Equator - during the early to middle part of the Holocene coincided with substantial decreases in mid-latitude net precipitation (precipitation minus evapotranspiration, at 30 N to 50 N). We quantify the evolution of the gradient and of mid-latitude moisture both in a new compilation of Holocene palaeoclimate records spanning from 10 S to 90 N and in an ensemble of mid-Holocene climate model simulations. The observed pattern is consistent with the hypothesis that a weaker temperature gradient led to weaker mid-latitude westerly flow, weaker cyclones and decreased net terrestrial mid-latitude precipitation. Currently, the northern high latitudes are warming at rates nearly double the global average, decreasing the Equator-to-pole temperature gradient to values comparable with those in the early to middle Holocene. If the patterns observed during the Holocene hold for current anthropogenically forced warming, the weaker latitudinal temperature gradient will lead to considerable reductions in mid-latitude water resources. #------------------ # Funding_Agency # Funding_Agency_Name: Science Foundation Arizona Bisgrove Scholar # Grant: BP 0544-13 #------------------ # Funding_Agency # Funding_Agency_Name: US National Science Foundation # Grant: AGS-1602105, EAR-1347221 #------------------ # Funding_Agency # Funding_Agency_Name: State of Arizona Technology and Research Initiative Fund # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: USGS Climate and Land Use Program # Grant: #------------------ # Site_Information # Site_Name: # Location: # Country: # Northernmost_Latitude: # Southernmost_Latitude: # Easternmost_Longitude: # Westernmost_Longitude: # Elevation: #------------------ # Data_Collection # Collection_Name: # Earliest_Year: # Most_Recent_Year: # Time_Unit: # Core_Length: # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # 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) # # #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: # depth (cm) age(BP) amoeba (bog water table depth cm) 1.5 -38 22.9527 3.5 -21.85 14.3085 5.5 -4.65 11.742 7.5 16.45 12.336 9.5 34.9 12.8562 11.5 55.5 24.3709 13.5 77.8 9.95837 15.5 97.8 16.4378 17.5 119.35 3.60839 19.5 140.3 4.94797 21.5 160.7 14.4504 23.5 181.65 41.7702 25.5 201.9 15.3035 27.5 224.6 10.6756 29.5 245.75 7.00407 31.5 266.55 2.3128 33.5 287.4 2.18412 35.5 307.75 15.0082 37.5 329.6 8.12401 39.5 351.1 3.10904 41.5 371.75 10.7975 43.5 392.4 2.82515 45.5 413.2 12.9066 47.5 435.95 9.48707 49.5 457.75 21.2094 51.5 478.75 15.3533 53.5 499.65 0.643864 55.5 521.3 2.23381 57.5 542.25 6.10313 59.5 563.4 8.31469 61.5 584.35 12.0506 63.5 606.45 5.76025 65.5 627.45 5.7473 67.5 647.65 12.1187 69.5 668.1 9.81105 71.5 688.4 7.90743 73.5 708.65 7.62118 75.5 728.95 6.84792 77.5 749.05 8.2842 79.5 769.4 9.00667 81.5 789.2 3.56115 83.5 810 6.10483 85.5 830.7 9.59155 87.5 851.15 4.75005 89.5 874.1 5.32851 91.5 900.35 4.45101 94.5 935.2 0.801239 96.5 961.7 6.41748 98.5 989.55 3.30819 100.5 1016.25 7.07856 102.5 1046.15 5.7348 104.5 1074.8 12.5829 106.5 1103.5 10.9928 108.5 1133.05 7.31566 110.5 1161.7 7.51742 112.5 1191.65 10.4382 114.5 1222.85 8.75445 116.5 1252.15 7.24702 118.5 1281.35 11.561 120.5 1309.85 10.5887 122.5 1337.35 4.03646 124.5 1365.55 5.61293 126.5 1392.3 3.71218 129.5 1439.3 17.9095 130.5 1456.3 6.13675 133.5 1507.85 11.4873 135.5 1540 8.02748 137.5 1576.15 9.2884 139.5 1610.15 10.1984 140.5 1628.2 12.5031 143.5 1685.5 4.13719 145.5 1720.3 8.75878 147.5 1758.5 2.61538 149.5 1797.35 25.5989 153.5 1871.95 13.075 155.5 1908.1 18.6357 157.5 1944.6 11.2753 159.5 1981.55 16.2987 160.5 1999.85 1.32445 163.5 2057.4 5.58918 165.5 2094.15 5.05853 167.5 2127.15 3.44355 169.5 2163.3 8.99746 170.5 2179.3 12.0283 172.5 2208.35 8.59547 175.5 2256.4 10.9725 177.5 2284.6 1.82575 179.5 2310.6 3.92551 180.5 2324.05 14.8801 183.5 2363.45 24.3858 185.5 2389.5 13.8028 187.5 2419.15 20.0986 189.5 2447.95 16.2024 195.5 2530.7 20.4135 196.5 2544.15 13.752 198.5 2571.85 15.5811 200.5 2599.55 6.51522 202.5 2626 10.1628 204.5 2653.85 17.5174 206.5 2680.4 11.275 208.5 2708.5 9.06312 210.5 2736.15 4.49805 212.5 2759.3 4.71868 214.5 2784.3 6.49192 215.5 2798.1 12.1671 218.5 2846.7 -0.929956 220.5 2879.3 3.84128 222.5 2918.95 6.20964 226.5 2994.25 10.5144 228.5 3032.7 9.31976 230.5 3070.3 12.3036 232.5 3112.95 2.36235 234.5 3153.35 8.90171 236.5 3193.55 9.45615 238.5 3234.55 2.89897 240.5 3273.5 8.56045 242.5 3312 7.56625 244.5 3350.85 2.97623 246.5 3389.5 -2.624 248.5 3429.5 4.08894 250.5 3469.4 -0.687269 252.5 3511 5.04989 254.5 3552.7 3.53685 256.5 3593.45 5.94987 258.5 3634.35 11.0698 260.5 3674.4 -1.07918 262.5 3714.85 -3.48003 266.5 3795.1 0.977069 268.5 3833.75 -0.39739 270.5 3870.25 7.69778 272.5 3904.8 4.132 274.5 3941.9 12.6957 275.5 3960.45 8.80714 277.5 3998.85 26.9568 278.5 4020.65 34.5931 279.5 4044.1 39.3777 280.5 4069.75 31.6857 281.5 4097.5 3.64866 282.5 4123.8 -2.51836 283.5 4147.3 1.41913 284.5 4169.2 5.03324 286.5 4218.7 -1.99079 288.5 4268.6 7.13741 289.5 4292.6 7.59074 290.5 4317.35 10.6175 291.5 4343.6 8.67085 292.5 4369.9 12.7159 293.5 4395.85 9.60057 294.5 4421.35 9.29912 296.5 4473.4 17.6461 297.5 4500.05 10.111 298.5 4527.8 7.62254 299.5 4555.75 7.52973 300.5 4581.7 9.95837 301.5 4606.3 7.20512 302.5 4631.4 8.6167 303.5 4657.8 9.29674 305.5 4706.95 7.45615 307.5 4749.55 7.58671 308.5 4772 17.6659 309.5 4794.15 14.3043 310.5 4814.65 4.12096 311.5 4835.55 4.06353 312.5 4857.45 9.83651 313.5 4878.85 12.3346 314.5 4898.5 6.57926 316.5 4938 10.9285 317.5 4957.75 3.70159 318.5 4977.35 -2.28567 319.5 4996.9 -2.08257 320.5 5016.3 -0.258649 321.5 5035.35 1.43675 322.5 5055.5 4.75437 323.5 5076.6 4.86781 324.5 5097.15 6.23116 326.5 5137 10.0327 327.5 5158.2 12.2099