# Summer Air Temperature Reconstruction in Tierra del Fuego from 1765-2002 CE #----------------------------------------------------------------------- # 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/37120 # 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-recon-37120.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Climate Reconstructions # # Dataset_DOI: 10.25921/v870-cb85 # # Science_Keywords: #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/reconstructions/matskovsky2022/matskovsky2022-tdf.txt # Data_Download_Description: NOAA Template File; Air Temperature Reconstruction Data # #--------------------------------------- # Contribution_Date # Date: 2022-12-06 #--------------------------------------- # File_Last_Modified_Date # Date: 2023-04-10 #--------------------------------------- # Title # Study_Name: Summer Air Temperature Reconstruction in Tierra del Fuego from 1765-2002 CE #--------------------------------------- # Investigators # Investigators: Matskovsky, Vladimir (0000-0002-3771-239X); Roig, Fidel A.; Fuentes, Mauricio; Korneva, Irina; Araneo, Diego; Linderholm, Hans W.; Aravena, Juan Carlos #--------------------------------------- # Description_Notes_and_Keywords # Description: Austral summer (DJF) temperature reconstruction for Tierra del Fuego region (73.75–66.75W, 53.75–55.75 S) based on 63 tree-ring width chronologies of Nothofagus pumilio and Nothofagus betuloides # Provided Keywords: Southern Hemisphere, Nothofagus pumilio, Nothofagus betuloides, Dendroclimatology, Southern Atlantic, Partial least squares regression #--------------------------------------- # Publication # Authors: Vladimir Matskovsky, Fidel A. Roig, Mauricio Fuentes, Irina Korneva, Diego Araneo, Hans W. Linderholm, Juan Carlos Aravena # Published_Date_or_Year: 2023-03-01 # Published_Title: Summer temperature changes in Tierra del Fuego since AD 1765: atmospheric drivers and tree-ring reconstruction from the southernmost forests of the world # Journal_Name: Climate Dynamics # Volume: 60 # Edition: # Issue: 5-6 # Pages: 1635–1649 # Report_Number: # DOI: 10.1007/s00382-022-06384-0 # Online_Resource: # Full_Citation: # Abstract: Proxy climate records, such as those derived from tree rings, are necessary to extend relatively short instrumental meteorological observations into the past. Tierra del Fuego is the most austral territory with forests in the world, situated close to the Antarctic Peninsula, which makes this region especially interesting for paleoclimatic research. However, high-quality, high-resolution summer temperature reconstruction are lacking in the region. In this study we used 63 tree-ring width chronologies of Nothofagus pumilio and Nothofagus betuloides and partial least squares regression (PLSR) to produce annually resolved December-to-February temperature reconstruction. The resulting reconstruction extends back to AD 1765 and explains 37–50% of instrumental temperature variability. We found that observed summer temperature variability in Tierra del Fuego is primarily driven by the fluctuations of atmospheric pressure systems both in the South Atlantic and South Pacific, while it is insignificantly correlated to major hemispheric modes: El Niño–Southern Oscillation and Southern Annular Mode. This fact makes our reconstruction important for climate modelling experiments, as it represents specific regional variability. Our reconstruction can be used for direct comparison with model outputs to better understand model limitations or to tune a model. The reconstruction can contribute to larger scale reconstructions based on paleoclimatic data assimilation. Moreover, we showed that PLSR has improved performance over principal component regression (PCR) in the case of multiple tree-ring predictors. According to these results, PLSR may be a preferable method over PCR for the use in automated tree-ring based reconstruction approaches, akin widely used point-by-point regression. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Russian Science Foundation # Grant: 21-17-00264 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Ministry of Education and Science of the Russian Federation # Grant: FMGE-2019-4; Megagrant 075-15-2021-599 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Argentinean Council of Research and Technology (CONICET) # Grant: PUE-0091/2016-CONICET #--------------------------------------- # Site_Information # Site_Name: Tierra del Fuego # Location: Tierra del Fuego # Northernmost_Latitude: -53.75 # Southernmost_Latitude: -55.75 # Easternmost_Longitude: -66.75 # Westernmost_Longitude: -73.75 # Elevation_m: #--------------------------------------- # Data_Collection # Collection_Name: TdF_matskovsky2022 # First_Year: 1765 # Last_Year: 2002 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: air temperature # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # 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) # ## year age,,,year Common Era,,tree ring;climate reconstructions,,,, ## temp air temperature,ring width,,degree Celsius,Dec-Feb,tree ring;climate reconstructions,,standard chronology method; regression analysis ,N,reconstructed values ## conf_99_low air temperature,ring width,99% confidence interval lower bound,degree Celsius,Dec-Feb,tree ring;climate reconstructions,,standard chronology method; regression analysis ,N,99% confidence interval lower bound based on 35650 bootstrap iterations. Uncertainties are attributed to the amount of available proxy data (chronologies) and to the availability and reliability of the instrumental data (calibration period). ## conf_99_up air temperature,ring width,99% confidence interval upper bound,degree Celsius,Dec-Feb,tree ring;climate reconstructions,,standard chronology method; regression analysis ,N,99% confidence interval upper bound based on 35650 bootstrap iterations. Uncertainties are attributed to the amount of available proxy data (chronologies) and to the availability and reliability of the instrumental data (calibration period). #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NaN year temp conf_99_low conf_99_up 1765 9.983508 8.19677 10.67051 1766 9.228744 8.085848 9.682794 1767 8.785095 7.76172 9.450091 1768 8.978181 7.832174 9.515111 1769 7.955707 6.93604 9.053899 1770 6.846675 6.265531 8.603432 1771 8.703413 7.801487 9.72823 1772 10.89735 8.211388 11.41473 1773 9.643481 7.645678 10.719 1774 9.533212 7.917196 10.1816 1775 10.04216 8.071049 10.28946 1776 9.037629 7.800561 9.504421 1777 8.099289 6.862218 9.074577 1778 8.82239 7.689701 9.391504 1779 9.696579 8.008957 10.1448 1780 9.26878 7.440531 10.0607 1781 8.633472 7.446054 9.406482 1782 9.001192 7.689879 9.585492 1783 8.505554 5.638895 9.299151 1784 8.553412 6.935019 9.316965 1785 8.726389 6.147058 9.622841 1786 8.973684 6.549538 9.376099 1787 7.562756 6.468408 8.405883 1788 8.52736 8.029985 10.19269 1789 8.650574 7.636099 9.336572 1790 7.483685 6.61193 8.824999 1791 8.564274 7.204205 9.568332 1792 11.13484 8.402124 11.68741 1793 9.70938 6.886311 10.29474 1794 8.501369 5.643211 9.236366 1795 9.250909 7.390246 9.739073 1796 8.232128 6.620834 8.927944 1797 9.07237 7.972278 9.765601 1798 9.183466 7.907791 9.603074 1799 8.569609 7.579237 10.07303 1800 9.408047 8.237643 10.77649 1801 9.376102 7.640885 9.723702 1802 7.760373 7.041391 8.668539 1803 8.014132 7.775432 11.34584 1804 6.886189 6.249256 8.344766 1805 7.311444 6.777817 8.399465 1806 9.561763 7.821114 9.832965 1807 9.328966 6.327785 9.773546 1808 8.327994 6.999351 8.843995 1809 9.003129 7.504899 9.473211 1810 8.427206 6.458985 8.792387 1811 7.911545 6.723026 8.583546 1812 9.501314 8.091634 10.85137 1813 8.9596 7.415152 9.10911 1814 9.401889 7.690547 9.722142 1815 9.005173 8.118672 9.512256 1816 8.222706 6.849687 8.782432 1817 9.142263 8.095802 10.69467 1818 8.135882 5.199063 8.877694 1819 8.463819 7.845689 10.45889 1820 8.135371 7.258483 9.308976 1821 8.878888 5.922555 9.162756 1822 8.032266 6.660708 9.49311 1823 8.224575 7.491357 9.451443 1824 8.202182 6.036264 8.924242 1825 7.631517 6.671822 8.760225 1826 8.857633 6.866043 10.02686 1827 10.11502 7.007689 10.40051 1828 10.04926 7.247686 10.21936 1829 9.028321 7.316158 9.537164 1830 10.19184 7.889929 10.37724 1831 9.718463 7.609755 9.802749 1832 9.269302 7.346493 9.782054 1833 9.211805 7.502336 9.633008 1834 8.245878 7.494265 8.749028 1835 9.006002 8.022883 9.718432 1836 9.771571 8.166991 10.05751 1837 9.47882 8.007419 9.776108 1838 8.953165 8.29819 9.787936 1839 8.759684 8.070264 9.333366 1840 8.626616 6.919062 9.321903 1841 7.76533 5.96528 8.506776 1842 7.876152 7.524433 9.076217 1843 8.941637 7.811966 9.379821 1844 8.506442 7.47383 8.762679 1845 7.87574 5.824352 8.440559 1846 8.436911 6.484047 8.895283 1847 8.250835 7.611632 8.750745 1848 9.151398 8.196679 10.01016 1849 8.276489 7.364047 9.34359 1850 9.466598 7.927081 9.968109 1851 8.269825 7.392939 9.674396 1852 7.94097 7.469366 9.360242 1853 6.870235 6.536889 8.296723 1854 7.285557 6.727545 8.626428 1855 7.428495 6.895844 8.806376 1856 6.662035 6.139717 8.626731 1857 6.70959 6.247673 8.818869 1858 6.926042 6.4269 8.541466 1859 7.035037 6.728006 7.945603 1860 7.551537 6.59073 8.571994 1861 7.33935 6.592162 8.055024 1862 7.597145 7.122261 8.097957 1863 8.904666 7.34368 9.475216 1864 8.966149 7.530682 9.903457 1865 9.06409 7.636573 9.879971 1866 8.03199 7.345213 8.660304 1867 8.081236 7.488127 8.457049 1868 8.598024 7.886106 9.226864 1869 8.450761 7.633407 9.364957 1870 9.073578 7.507001 9.925519 1871 8.910362 7.310762 9.90533 1872 7.849241 7.134419 8.592003 1873 8.194424 7.49666 8.775112 1874 8.083694 7.367237 8.996652 1875 8.139411 7.319814 9.168859 1876 9.526284 8.069502 10.16617 1877 8.985432 7.76425 9.586698 1878 8.194174 7.491762 8.966183 1879 8.002406 7.608056 8.692366 1880 7.298799 6.759636 8.50053 1881 7.985857 7.597859 8.999498 1882 8.135743 7.477344 8.81273 1883 7.2129 6.215727 8.754327 1884 7.902128 6.942559 9.71944 1885 8.513951 7.868202 9.173704 1886 9.004983 7.958244 9.477969 1887 8.478413 7.733158 9.333668 1888 8.287897 7.851092 9.79355 1889 7.707535 7.087734 8.79788 1890 8.155349 7.51928 9.676063 1891 9.109845 7.784308 9.842399 1892 9.070548 7.592378 9.755621 1893 8.710588 7.503174 9.492785 1894 9.252495 7.720906 10.1476 1895 10.132 8.503846 10.53118 1896 9.534402 8.130574 9.898185 1897 9.386625 7.884562 9.943075 1898 9.137183 7.985036 9.909538 1899 8.944704 8.130897 9.269964 1900 8.804556 7.531268 9.568283 1901 9.051766 7.674885 9.458561 1902 9.219586 8.249991 9.456008 1903 9.360705 8.019492 9.520938 1904 9.156316 8.16531 9.71489 1905 8.503794 7.619991 9.750686 1906 7.611942 6.970942 8.335209 1907 8.119433 7.528891 8.520344 1908 7.356354 6.908301 8.327294 1909 7.547375 7.089602 8.570463 1910 8.921741 8.119488 9.306314 1911 8.800013 8.105052 9.177588 1912 8.007212 7.010791 9.060471 1913 8.227744 7.627389 9.328685 1914 8.411112 7.89466 8.832557 1915 8.652367 7.513664 9.143035 1916 8.453479 7.332021 8.846839 1917 8.894474 7.654979 9.426657 1918 9.471745 8.381335 9.892999 1919 9.112437 8.083873 9.528868 1920 8.794155 8.034924 8.948131 1921 7.995572 7.58287 9.054067 1922 8.731782 7.62472 9.143851 1923 8.9186 8.064516 9.205245 1924 7.384329 7.0905 8.221284 1925 7.998788 7.425926 8.993495 1926 8.299316 7.805049 8.884109 1927 7.618538 7.242567 8.533384 1928 8.705416 7.924549 9.188922 1929 8.298517 7.589567 8.782778 1930 8.806852 7.243251 9.802016 1931 8.229516 7.098481 8.683404 1932 7.338184 6.890174 8.412499 1933 7.228358 6.95194 8.122798 1934 6.88536 6.625279 8.344179 1935 7.324701 7.026069 8.610014 1936 7.972359 7.410004 8.461215 1937 7.624562 7.024595 8.50062 1938 7.930583 7.394267 9.225679 1939 8.123514 7.819144 9.084142 1940 7.242664 6.774347 8.131658 1941 8.025942 7.55387 8.630259 1942 8.277082 7.708203 8.943111 1943 8.217539 7.705386 8.659158 1944 8.444152 7.937477 8.858294 1945 8.542252 7.67442 8.829399 1946 7.682259 6.886526 8.232385 1947 7.372562 7.037255 8.141779 1948 7.642112 7.156493 8.318337 1949 7.796302 6.994347 8.511587 1950 8.282109 7.325889 8.736987 1951 8.993087 7.61271 9.67076 1952 7.829693 7.232503 8.612027 1953 7.789493 7.338598 8.478771 1954 8.164681 7.405353 8.683751 1955 7.039991 6.943463 8.333874 1956 7.210975 6.907685 8.67904 1957 7.419048 7.266684 8.543026 1958 7.976499 7.245853 8.642926 1959 8.066013 7.237663 8.824115 1960 7.232146 6.865144 8.377066 1961 7.58927 7.098484 8.517966 1962 7.774635 6.926674 8.762857 1963 8.511562 7.694583 9.242895 1964 8.567016 7.63231 9.068192 1965 7.773214 7.355821 8.315343 1966 8.281175 7.695865 8.686913 1967 8.29843 7.764062 9.113915 1968 7.636922 6.982927 8.481951 1969 8.139104 7.62999 9.132657 1970 7.539457 6.990378 8.556936 1971 7.8799 6.790032 8.504602 1972 8.331351 7.88148 9.236855 1973 7.808553 7.33042 8.37055 1974 8.541789 7.634427 8.949684 1975 7.662428 7.369213 8.5335 1976 7.719485 7.3816 8.447773 1977 8.933036 7.947184 9.047174 1978 9.145373 7.889208 9.456379 1979 8.672022 7.214478 9.096267 1980 8.730854 6.893692 9.097245 1981 8.831692 7.875157 9.254231 1982 8.962928 8.148958 9.396125 1983 8.485897 7.654391 9.083821 1984 8.592258 7.852621 9.979343 1985 8.795487 7.902946 9.288047 1986 8.125214 7.410119 8.873154 1987 8.765822 7.633212 9.553216 1988 8.730444 7.52049 9.303661 1989 8.558298 7.187226 9.378093 1990 8.224864 7.123414 8.795243 1991 8.789638 7.439256 9.279795 1992 9.255983 7.233255 9.635811 1993 8.628461 7.416097 9.389939 1994 8.42751 7.253088 9.699686 1995 8.699116 7.171455 9.998608 1996 8.779385 6.978352 9.846942 1997 8.803741 7.101782 9.577354 1998 8.205359 6.617902 9.502337 1999 7.849433 6.526627 9.365124 2000 8.076855 6.604672 9.208607 2001 8.759345 6.975697 9.921895 2002 8.36802 6.945678 9.634371