# northamerica_usa_ak061 - Bye Rosanne - 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/3048
#
# 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_ak061 - Bye Rosanne - 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: Bye Rosanne
#	Location:
#	Country: United States
#	Northernmost_Latitude: 65.08
#	Southernmost_Latitude: 65.08
#	Easternmost_Longitude: -162.18
#	Westernmost_Longitude: -162.18
#	Elevation: 282 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ak061B
#	Earliest_Year: 1609
#	Most_Recent_Year: 2002
#	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":"5.65111325583","T2":"16.7319954025","M1":"0.0222119686299","M2":"0.399238206938"}}
#--------------------
# Species
#	Species_Name: white spruce
#	Species_Code: PCGL
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# Chronology:
#
#
#
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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
1609	1.142
1610	1.192
1611	1.47
1612	1.413
1613	1.39
1614	1.136
1615	1.243
1616	1.184
1617	1.225
1618	1.316
1619	1.259
1620	1.113
1621	1.258
1622	1.153
1623	1.099
1624	1.169
1625	0.935
1626	0.986
1627	1.003
1628	0.754
1629	0.655
1630	0.724
1631	0.746
1632	1.044
1633	0.941
1634	0.821
1635	0.474
1636	0.616
1637	0.643
1638	0.932
1639	0.884
1640	0.897
1641	0.711
1642	0.642
1643	0.473
1644	0.602
1645	0.454
1646	0.603
1647	0.808
1648	0.85
1649	0.786
1650	0.993
1651	0.769
1652	0.554
1653	0.913
1654	0.584
1655	0.688
1656	0.808
1657	0.658
1658	0.703
1659	0.63
1660	0.771
1661	0.71
1662	1.019
1663	0.887
1664	0.853
1665	1.018
1666	0.945
1667	1.16
1668	0.761
1669	1.101
1670	0.901
1671	0.772
1672	0.802
1673	0.804
1674	0.629
1675	0.744
1676	0.836
1677	0.787
1678	0.851
1679	0.988
1680	0.909
1681	0.883
1682	0.848
1683	1.019
1684	0.706
1685	0.822
1686	0.828
1687	1.022
1688	1.124
1689	0.917
1690	1.015
1691	1.161
1692	1.053
1693	0.907
1694	1.19
1695	0.931
1696	1.0
1697	0.599
1698	1.039
1699	1.053
1700	0.82
1701	0.992
1702	0.901
1703	0.913
1704	0.918
1705	0.9
1706	0.893
1707	0.998
1708	1.145
1709	1.08
1710	1.463
1711	0.992
1712	1.147
1713	1.209
1714	1.329
1715	1.309
1716	1.143
1717	1.049
1718	1.209
1719	1.269
1720	1.761
1721	1.383
1722	1.519
1723	1.788
1724	1.386
1725	1.796
1726	1.173
1727	1.354
1728	1.3
1729	1.246
1730	1.375
1731	1.387
1732	1.322
1733	1.191
1734	1.334
1735	1.066
1736	1.085
1737	1.223
1738	1.074
1739	1.18
1740	1.174
1741	1.199
1742	0.812
1743	1.381
1744	0.81
1745	0.76
1746	0.879
1747	0.889
1748	1.126
1749	1.398
1750	1.742
1751	1.06
1752	1.554
1753	1.3
1754	1.154
1755	1.018
1756	1.143
1757	1.1
1758	1.184
1759	1.17
1760	1.221
1761	1.345
1762	0.991
1763	0.98
1764	1.033
1765	0.788
1766	1.117
1767	0.997
1768	1.003
1769	0.945
1770	1.239
1771	0.857
1772	0.769
1773	0.65
1774	0.728
1775	0.547
1776	0.502
1777	0.511
1778	0.533
1779	0.524
1780	0.27
1781	0.533
1782	0.476
1783	0.479
1784	0.584
1785	0.624
1786	0.545
1787	0.666
1788	0.76
1789	0.682
1790	0.821
1791	0.96
1792	1.096
1793	0.888
1794	1.118
1795	1.095
1796	1.118
1797	0.867
1798	0.937
1799	0.855
1800	0.801
1801	0.832
1802	0.924
1803	0.977
1804	0.84
1805	0.675
1806	0.839
1807	0.726
1808	1.069
1809	0.707
1810	0.829
1811	0.88
1812	0.851
1813	0.824
1814	0.867
1815	0.778
1816	0.622
1817	0.944
1818	0.964
1819	0.891
1820	1.185
1821	0.98
1822	0.664
1823	1.025
1824	1.141
1825	0.85
1826	0.73
1827	0.805
1828	0.939
1829	1.035
1830	0.802
1831	0.931
1832	0.929
1833	0.843
1834	0.734
1835	0.831
1836	0.705
1837	0.741
1838	0.876
1839	0.784
1840	0.859
1841	0.751
1842	0.937
1843	1.005
1844	1.106
1845	0.899
1846	1.034
1847	1.192
1848	1.212
1849	1.13
1850	1.228
1851	1.133
1852	1.269
1853	1.405
1854	1.243
1855	1.543
1856	0.993
1857	1.858
1858	1.608
1859	1.42
1860	1.343
1861	1.245
1862	1.197
1863	1.273
1864	1.225
1865	1.247
1866	0.952
1867	1.361
1868	1.001
1869	1.074
1870	1.176
1871	0.871
1872	0.988
1873	1.106
1874	1.296
1875	1.29
1876	1.291
1877	1.375
1878	1.36
1879	1.229
1880	1.439
1881	1.438
1882	1.654
1883	1.243
1884	1.409
1885	1.489
1886	1.119
1887	1.236
1888	1.021
1889	0.987
1890	1.204
1891	1.15
1892	0.897
1893	0.777
1894	0.995
1895	0.983
1896	0.876
1897	1.082
1898	0.891
1899	0.433
1900	0.699
1901	0.599
1902	0.873
1903	0.822
1904	0.692
1905	0.681
1906	1.036
1907	0.928
1908	0.833
1909	0.666
1910	0.697
1911	1.052
1912	0.618
1913	0.949
1914	1.07
1915	1.318
1916	1.148
1917	1.026
1918	1.168
1919	0.839
1920	1.161
1921	1.198
1922	0.673
1923	1.053
1924	0.911
1925	0.942
1926	1.226
1927	1.006
1928	0.909
1929	0.984
1930	0.757
1931	0.648
1932	0.94
1933	0.882
1934	0.918
1935	1.034
1936	0.901
1937	0.964
1938	0.813
1939	0.963
1940	0.69
1941	0.823
1942	1.108
1943	1.128
1944	0.932
1945	0.872
1946	1.02
1947	0.788
1948	0.937
1949	0.746
1950	0.813
1951	0.96
1952	1.29
1953	1.197
1954	1.111
1955	1.16
1956	1.026
1957	1.223
1958	1.269
1959	1.169
1960	1.234
1961	0.862
1962	1.074
1963	0.924
1964	0.996
1965	0.798
1966	0.792
1967	0.93
1968	0.788
1969	0.635
1970	0.804
1971	0.989
1972	0.874
1973	0.698
1974	0.842
1975	0.66
1976	0.641
1977	0.782
1978	0.417
1979	0.745
1980	0.705
1981	0.713
1982	0.868
1983	0.834
1984	0.874
1985	0.867
1986	0.672
1987	0.814
1988	0.749
1989	0.921
1990	0.784
1991	0.733
1992	0.78
1993	0.704
1994	0.743
1995	0.609
1996	0.721
1997	0.879
1998	1.106
1999	0.877
2000	0.898
2001	0.992
2002	0.951