# northamerica_usa_ak006 - Denali National Park - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# 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:
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4397
#
# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ak006 - Denali National Park - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
#------------------
# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Denali National Park
#	Location:
#	Country: United States
#	Northernmost_Latitude: 63.67
#	Southernmost_Latitude: 63.67
#	Easternmost_Longitude: -149.58
#	Westernmost_Longitude: -149.58
#	Elevation: 750 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak006B
#	Earliest_Year: 1637
#	Most_Recent_Year: 1983
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"6.26857029845","T2":"17.7234817028","M1":"0.0222804792226","M2":"0.341805730246"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
#--------------------
# Chronology:
#
#
#
#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# 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, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1637	1.067
1638	0.986
1639	1.05
1640	1.426
1641	1.103
1642	0.66
1643	0.902
1644	0.825
1645	0.742
1646	0.765
1647	0.722
1648	0.97
1649	0.86
1650	1.049
1651	0.568
1652	0.954
1653	0.79
1654	0.893
1655	0.911
1656	0.835
1657	1.008
1658	1.372
1659	1.158
1660	1.264
1661	1.226
1662	1.271
1663	1.282
1664	1.22
1665	1.514
1666	1.363
1667	1.356
1668	1.492
1669	1.508
1670	1.441
1671	1.216
1672	1.841
1673	1.81
1674	1.07
1675	1.827
1676	1.825
1677	1.222
1678	1.596
1679	1.696
1680	1.437
1681	1.506
1682	0.998
1683	1.152
1684	1.058
1685	1.003
1686	0.97
1687	0.838
1688	0.874
1689	1.205
1690	1.613
1691	1.412
1692	1.148
1693	1.303
1694	1.666
1695	1.195
1696	1.587
1697	1.115
1698	0.992
1699	0.97
1700	0.859
1701	0.8
1702	0.803
1703	0.809
1704	0.744
1705	0.738
1706	0.596
1707	0.837
1708	0.713
1709	0.733
1710	0.864
1711	0.77
1712	0.733
1713	0.745
1714	0.746
1715	1.057
1716	0.764
1717	0.833
1718	0.774
1719	0.935
1720	0.97
1721	0.7
1722	0.875
1723	0.825
1724	0.743
1725	1.031
1726	0.84
1727	0.783
1728	0.765
1729	0.891
1730	0.954
1731	0.925
1732	0.889
1733	0.92
1734	0.928
1735	0.862
1736	0.785
1737	1.118
1738	0.815
1739	0.873
1740	0.81
1741	0.9
1742	0.758
1743	0.902
1744	0.703
1745	0.815
1746	0.749
1747	0.723
1748	0.854
1749	1.027
1750	0.931
1751	0.691
1752	0.823
1753	0.801
1754	0.76
1755	0.647
1756	0.687
1757	0.483
1758	0.649
1759	0.57
1760	0.543
1761	0.719
1762	0.715
1763	0.815
1764	0.801
1765	0.807
1766	0.888
1767	0.979
1768	1.016
1769	1.148
1770	1.36
1771	0.771
1772	0.967
1773	1.057
1774	1.137
1775	1.053
1776	1.075
1777	0.788
1778	0.823
1779	0.815
1780	0.852
1781	1.14
1782	0.965
1783	0.975
1784	0.817
1785	1.085
1786	1.001
1787	0.996
1788	0.881
1789	0.807
1790	0.806
1791	0.837
1792	0.96
1793	1.148
1794	1.061
1795	1.217
1796	0.902
1797	0.915
1798	0.718
1799	0.673
1800	0.721
1801	0.872
1802	0.918
1803	0.869
1804	0.634
1805	0.684
1806	0.725
1807	0.626
1808	0.769
1809	0.581
1810	0.572
1811	0.58
1812	0.643
1813	0.705
1814	0.444
1815	0.487
1816	0.53
1817	0.595
1818	0.571
1819	0.577
1820	0.61
1821	0.525
1822	0.496
1823	0.72
1824	0.584
1825	0.558
1826	0.473
1827	0.58
1828	0.78
1829	0.759
1830	0.668
1831	0.806
1832	0.958
1833	0.943
1834	0.719
1835	0.711
1836	0.83
1837	0.737
1838	0.951
1839	0.624
1840	0.854
1841	0.808
1842	1.031
1843	1.114
1844	1.294
1845	0.908
1846	0.947
1847	0.922
1848	1.124
1849	0.901
1850	0.807
1851	0.896
1852	0.981
1853	1.239
1854	1.139
1855	1.272
1856	0.971
1857	1.409
1858	1.468
1859	1.573
1860	1.453
1861	1.342
1862	1.332
1863	1.285
1864	1.264
1865	1.202
1866	0.998
1867	1.304
1868	0.978
1869	0.862
1870	1.007
1871	1.047
1872	0.811
1873	1.091
1874	1.053
1875	1.065
1876	1.057
1877	1.01
1878	0.979
1879	0.952
1880	0.919
1881	1.005
1882	1.122
1883	0.919
1884	1.147
1885	1.037
1886	1.067
1887	0.801
1888	1.117
1889	0.9
1890	1.06
1891	1.159
1892	0.99
1893	0.998
1894	1.073
1895	1.011
1896	1.08
1897	1.084
1898	0.958
1899	0.851
1900	0.882
1901	1.038
1902	1.027
1903	0.896
1904	0.708
1905	0.829
1906	0.988
1907	0.882
1908	0.919
1909	0.88
1910	0.792
1911	0.962
1912	0.643
1913	0.824
1914	0.799
1915	0.868
1916	0.698
1917	0.945
1918	1.15
1919	0.635
1920	0.977
1921	1.124
1922	0.899
1923	1.229
1924	0.838
1925	1.049
1926	0.873
1927	1.055
1928	1.085
1929	1.383
1930	1.213
1931	1.209
1932	1.15
1933	1.149
1934	1.316
1935	1.41
1936	1.576
1937	1.312
1938	1.096
1939	1.385
1940	0.905
1941	1.106
1942	1.279
1943	1.359
1944	1.251
1945	1.043
1946	1.227
1947	1.069
1948	1.305
1949	1.051
1950	1.246
1951	0.832
1952	0.896
1953	1.099
1954	1.004
1955	1.018
1956	0.896
1957	0.995
1958	0.901
1959	1.097
1960	1.074
1961	0.948
1962	0.991
1963	0.675
1964	0.985
1965	0.854
1966	1.037
1967	0.986
1968	0.969
1969	0.952
1970	0.674
1971	1.311
1972	1.14
1973	0.85
1974	0.982
1975	1.021
1976	1.044
1977	0.99
1978	0.736
1979	1.043
1980	1.08
1981	1.131
1982	1.325
1983	0.945