# northamerica_usa_wa063 - Chinook Pass - 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
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3304
#
# 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_wa063 - Chinook Pass - 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: Chinook Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 46.85
#	Southernmost_Latitude: 46.85
#	Easternmost_Longitude: -121.5
#	Westernmost_Longitude: -121.5
#	Elevation: 1660 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa063B
#	Earliest_Year: 1635
#	Most_Recent_Year: 1979
#	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":"4.16431786854","T2":"18.9311850057","M1":"0.0226076390912","M2":"0.320839890822"}}
#--------------------
# Species
#	Species_Name: mountain hemlock
#	Species_Code: TSME
#--------------------
# 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
1635	0.927
1636	1.109
1637	1.052
1638	1.286
1639	1.058
1640	1.072
1641	0.595
1642	1.32
1643	1.026
1644	1.144
1645	1.461
1646	1.436
1647	1.199
1648	1.084
1649	1.313
1650	1.066
1651	1.42
1652	1.188
1653	0.898
1654	1.053
1655	1.038
1656	1.012
1657	1.022
1658	1.072
1659	0.973
1660	1.149
1661	1.403
1662	0.952
1663	1.12
1664	1.256
1665	1.782
1666	1.541
1667	1.439
1668	0.846
1669	1.445
1670	1.11
1671	1.195
1672	1.134
1673	1.216
1674	1.157
1675	1.124
1676	0.867
1677	1.102
1678	1.143
1679	1.204
1680	1.215
1681	1.263
1682	1.311
1683	1.208
1684	0.928
1685	0.946
1686	0.982
1687	1.251
1688	0.907
1689	1.05
1690	0.994
1691	0.961
1692	1.069
1693	0.994
1694	0.851
1695	1.157
1696	0.718
1697	0.629
1698	0.841
1699	0.799
1700	0.864
1701	0.746
1702	1.036
1703	0.854
1704	1.049
1705	1.361
1706	1.087
1707	0.784
1708	0.841
1709	0.523
1710	0.988
1711	0.855
1712	1.184
1713	1.106
1714	1.033
1715	0.445
1716	1.102
1717	1.283
1718	1.196
1719	1.063
1720	0.821
1721	1.099
1722	0.66
1723	0.859
1724	0.834
1725	0.821
1726	1.057
1727	1.165
1728	1.048
1729	1.13
1730	0.868
1731	0.879
1732	0.989
1733	0.947
1734	0.933
1735	1.067
1736	1.05
1737	0.957
1738	0.839
1739	1.037
1740	1.124
1741	1.454
1742	0.983
1743	1.266
1744	1.018
1745	1.244
1746	1.087
1747	1.176
1748	1.031
1749	1.027
1750	1.073
1751	0.979
1752	0.429
1753	0.589
1754	0.704
1755	0.612
1756	1.282
1757	0.868
1758	0.91
1759	0.751
1760	0.742
1761	0.675
1762	0.684
1763	0.93
1764	1.063
1765	0.996
1766	1.022
1767	1.112
1768	1.047
1769	1.154
1770	1.206
1771	1.162
1772	0.908
1773	1.098
1774	1.191
1775	0.681
1776	1.121
1777	1.165
1778	1.128
1779	0.949
1780	1.031
1781	0.911
1782	1.064
1783	1.311
1784	0.954
1785	0.883
1786	0.806
1787	0.786
1788	0.949
1789	0.758
1790	1.036
1791	1.234
1792	1.362
1793	1.315
1794	1.511
1795	1.238
1796	1.299
1797	0.744
1798	1.214
1799	1.122
1800	1.158
1801	0.832
1802	0.874
1803	1.069
1804	1.069
1805	1.116
1806	0.789
1807	0.894
1808	0.696
1809	0.902
1810	0.4
1811	0.653
1812	0.864
1813	0.932
1814	1.167
1815	1.095
1816	1.229
1817	1.261
1818	1.137
1819	0.749
1820	0.809
1821	0.91
1822	0.934
1823	1.113
1824	0.919
1825	1.251
1826	1.043
1827	1.019
1828	0.948
1829	1.126
1830	0.924
1831	0.873
1832	0.703
1833	0.928
1834	1.232
1835	0.937
1836	0.75
1837	0.93
1838	0.63
1839	1.127
1840	0.517
1841	0.695
1842	0.892
1843	1.19
1844	1.057
1845	0.883
1846	1.1
1847	0.693
1848	1.108
1849	0.507
1850	0.525
1851	0.978
1852	0.836
1853	0.8
1854	0.88
1855	0.908
1856	0.546
1857	0.929
1858	0.96
1859	0.917
1860	0.792
1861	0.826
1862	0.599
1863	1.218
1864	0.717
1865	0.911
1866	0.3
1867	0.497
1868	0.754
1869	0.853
1870	0.639
1871	0.574
1872	0.833
1873	1.012
1874	0.931
1875	0.663
1876	0.618
1877	0.963
1878	0.928
1879	0.813
1880	0.603
1881	0.79
1882	0.823
1883	0.79
1884	0.877
1885	1.033
1886	1.082
1887	0.667
1888	0.931
1889	1.152
1890	1.147
1891	1.119
1892	0.881
1893	0.742
1894	0.813
1895	1.235
1896	0.769
1897	0.994
1898	1.07
1899	0.58
1900	0.938
1901	1.134
1902	1.028
1903	1.025
1904	1.435
1905	1.551
1906	0.929
1907	0.976
1908	0.868
1909	0.836
1910	1.099
1911	1.079
1912	0.917
1913	1.041
1914	1.439
1915	1.292
1916	0.585
1917	0.802
1918	1.025
1919	0.915
1920	1.022
1921	0.899
1922	1.152
1923	1.05
1924	1.03
1925	0.956
1926	1.187
1927	0.952
1928	1.025
1929	1.268
1930	1.225
1931	1.19
1932	0.958
1933	0.988
1934	1.279
1935	1.258
1936	1.075
1937	0.864
1938	1.037
1939	1.071
1940	1.16
1941	1.243
1942	1.068
1943	1.086
1944	1.371
1945	1.222
1946	0.954
1947	1.237
1948	1.629
1949	1.248
1950	1.317
1951	1.487
1952	1.273
1953	0.939
1954	0.718
1955	0.949
1956	0.718
1957	1.058
1958	1.327
1959	0.936
1960	1.165
1961	1.042
1962	0.904
1963	1.031
1964	0.958
1965	0.925
1966	1.227
1967	1.194
1968	0.939
1969	0.697
1970	0.869
1971	0.684
1972	0.702
1973	0.784
1974	0.551
1975	0.763
1976	0.703
1977	1.194
1978	0.774
1979	0.757