# northamerica_usa_ak023 - Petrof Lateral Moraine - 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:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/5247
#
# 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_ak023 - Petrof Lateral Moraine - 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.
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# 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
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# Site_Information
#	Site_Name: Petrof Lateral Moraine
#	Location:
#	Country: United States
#	Northernmost_Latitude: 59.37
#	Southernmost_Latitude: 59.37
#	Easternmost_Longitude: -150.83
#	Westernmost_Longitude: -150.83
#	Elevation: 300 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak023B
#	Earliest_Year: 1674
#	Most_Recent_Year: 1987
#	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":"5.1554124246","T2":"16.830802714","M1":"0.0225658723096","M2":"0.407855398962"}}
#--------------------
# Species
#	Species_Name: Sitka spruce
#	Species_Code: PCSI
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# Chronology:
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#
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# 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
1674	0.869
1675	1.177
1676	0.881
1677	0.626
1678	0.808
1679	0.777
1680	0.971
1681	1.024
1682	1.028
1683	0.871
1684	0.964
1685	1.36
1686	1.187
1687	1.381
1688	1.057
1689	0.865
1690	1.175
1691	1.152
1692	1.046
1693	1.159
1694	1.299
1695	1.215
1696	1.117
1697	0.844
1698	0.594
1699	0.67
1700	0.644
1701	0.829
1702	1.07
1703	1.323
1704	1.223
1705	1.144
1706	0.773
1707	1.137
1708	1.018
1709	1.042
1710	0.912
1711	0.862
1712	1.028
1713	1.024
1714	0.957
1715	1.069
1716	0.624
1717	0.675
1718	1.018
1719	1.069
1720	0.851
1721	0.979
1722	1.072
1723	1.034
1724	1.008
1725	1.045
1726	0.953
1727	1.008
1728	1.128
1729	0.944
1730	0.676
1731	0.683
1732	0.637
1733	0.655
1734	0.606
1735	0.757
1736	0.819
1737	1.103
1738	1.03
1739	1.144
1740	0.983
1741	0.898
1742	0.837
1743	0.976
1744	0.755
1745	0.96
1746	0.751
1747	1.055
1748	1.09
1749	1.169
1750	1.193
1751	1.049
1752	0.867
1753	0.701
1754	0.715
1755	0.758
1756	0.62
1757	0.709
1758	0.823
1759	0.801
1760	1.004
1761	0.835
1762	0.967
1763	0.847
1764	0.914
1765	1.075
1766	0.952
1767	1.167
1768	0.827
1769	0.947
1770	0.94
1771	0.895
1772	0.989
1773	1.178
1774	1.49
1775	1.302
1776	1.171
1777	1.386
1778	1.498
1779	1.37
1780	1.36
1781	0.903
1782	1.324
1783	1.153
1784	1.239
1785	1.051
1786	1.111
1787	0.902
1788	0.998
1789	0.905
1790	0.933
1791	1.118
1792	1.368
1793	1.402
1794	1.503
1795	1.557
1796	1.438
1797	1.752
1798	1.369
1799	1.32
1800	1.114
1801	1.317
1802	1.125
1803	1.1
1804	1.006
1805	1.186
1806	0.976
1807	0.89
1808	0.918
1809	0.783
1810	0.686
1811	0.58
1812	0.756
1813	0.798
1814	0.734
1815	0.863
1816	1.13
1817	0.856
1818	0.805
1819	0.915
1820	0.746
1821	0.976
1822	0.823
1823	1.027
1824	1.191
1825	1.127
1826	0.98
1827	1.02
1828	1.284
1829	1.603
1830	1.06
1831	0.86
1832	1.014
1833	0.769
1834	0.587
1835	0.862
1836	0.933
1837	0.737
1838	1.432
1839	1.316
1840	1.226
1841	1.663
1842	0.937
1843	0.832
1844	0.943
1845	0.969
1846	1.039
1847	0.889
1848	0.794
1849	0.752
1850	0.688
1851	0.88
1852	0.918
1853	0.906
1854	1.006
1855	0.807
1856	0.807
1857	0.87
1858	0.932
1859	1.026
1860	0.955
1861	1.065
1862	0.813
1863	0.763
1864	0.745
1865	0.676
1866	0.718
1867	0.755
1868	0.821
1869	0.673
1870	0.968
1871	0.8
1872	0.932
1873	0.917
1874	0.846
1875	0.767
1876	0.501
1877	0.471
1878	0.571
1879	0.543
1880	0.434
1881	0.868
1882	0.676
1883	0.771
1884	1.077
1885	1.107
1886	1.098
1887	0.779
1888	0.936
1889	0.697
1890	0.779
1891	0.839
1892	0.998
1893	1.13
1894	0.807
1895	0.735
1896	0.69
1897	0.748
1898	0.792
1899	0.89
1900	0.902
1901	1.054
1902	1.208
1903	1.0
1904	0.744
1905	1.005
1906	0.867
1907	0.853
1908	0.941
1909	0.888
1910	0.815
1911	0.863
1912	0.729
1913	0.755
1914	0.743
1915	1.128
1916	1.054
1917	1.021
1918	1.129
1919	1.053
1920	1.092
1921	1.276
1922	1.118
1923	1.39
1924	1.312
1925	1.625
1926	1.56
1927	1.098
1928	1.103
1929	1.129
1930	0.926
1931	1.121
1932	1.179
1933	1.31
1934	1.127
1935	1.044
1936	0.956
1937	0.924
1938	1.029
1939	1.182
1940	1.242
1941	1.278
1942	1.414
1943	1.532
1944	1.232
1945	1.024
1946	1.008
1947	0.965
1948	0.889
1949	0.892
1950	0.84
1951	0.981
1952	1.02
1953	0.969
1954	0.895
1955	0.803
1956	0.888
1957	1.009
1958	0.596
1959	0.809
1960	0.91
1961	1.053
1962	1.229
1963	1.204
1964	1.132
1965	0.903
1966	0.88
1967	1.038
1968	0.983
1969	0.983
1970	0.888
1971	0.896
1972	0.816
1973	0.782
1974	1.001
1975	0.665
1976	0.708
1977	0.854
1978	0.738
1979	0.914
1980	0.706
1981	1.056
1982	0.853
1983	0.909
1984	0.755
1985	0.786
1986	0.922
1987	0.927