ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa087 - Deer Creek 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
#
# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3189
#
# 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_wa087 - Deer Creek 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: Deer Creek Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 48.33
#	Southernmost_Latitude: 48.33
#	Easternmost_Longitude: -121.72
#	Westernmost_Longitude: -121.72
#	Elevation: 1052 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa087B
#	Earliest_Year: 1502
#	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":"5.13631374824","T2":"13.0341872118","M1":"0.0225670309854","M2":"0.465589832021"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1502	0.947
1503	0.866
1504	0.764
1505	0.845
1506	0.845
1507	0.845
1508	0.805
1509	0.764
1510	0.886
1511	0.784
1512	0.825
1513	0.886
1514	0.907
1515	0.866
1516	0.866
1517	0.743
1518	0.805
1519	0.682
1520	0.927
1521	0.927
1522	0.907
1523	0.703
1524	0.703
1525	0.825
1526	0.866
1527	0.927
1528	0.948
1529	1.029
1530	0.886
1531	0.968
1532	0.744
1533	1.029
1534	1.07
1535	0.744
1536	0.825
1537	0.887
1538	0.989
1539	0.805
1540	0.887
1541	0.907
1542	0.907
1543	0.887
1544	1.05
1545	1.111
1546	1.03
1547	0.805
1548	0.805
1549	0.764
1550	1.05
1551	1.009
1552	1.397
1553	1.132
1554	1.336
1555	1.357
1556	1.397
1557	1.112
1558	1.173
1559	1.132
1560	1.132
1561	0.969
1562	1.03
1563	1.071
1564	1.03
1565	1.193
1566	0.867
1567	1.05
1568	0.907
1569	0.989
1570	0.948
1571	0.948
1572	1.01
1573	0.969
1574	0.928
1575	1.112
1576	1.235
1577	0.846
1578	0.662
1579	0.744
1580	0.908
1581	0.949
1582	0.765
1583	0.744
1584	0.867
1585	0.724
1586	1.051
1587	1.267
1588	0.671
1589	1.441
1590	1.148
1591	1.093
1592	1.038
1593	0.963
1594	0.994
1595	0.846
1596	1.136
1597	1.106
1598	1.434
1599	1.235
1600	1.377
1601	1.215
1602	1.207
1603	1.05
1604	1.079
1605	1.041
1606	0.921
1607	0.984
1608	1.161
1609	1.217
1610	0.948
1611	0.866
1612	1.198
1613	1.016
1614	0.886
1615	1.17
1616	1.054
1617	1.196
1618	1.028
1619	0.844
1620	0.84
1621	0.798
1622	0.896
1623	1.138
1624	0.764
1625	0.935
1626	0.822
1627	0.846
1628	0.821
1629	0.78
1630	0.931
1631	0.968
1632	0.873
1633	0.903
1634	1.015
1635	0.664
1636	0.722
1637	0.902
1638	0.84
1639	1.129
1640	1.051
1641	1.106
1642	0.898
1643	0.967
1644	0.941
1645	0.894
1646	0.925
1647	0.985
1648	0.737
1649	0.878
1650	0.767
1651	0.725
1652	0.905
1653	0.995
1654	0.738
1655	0.981
1656	1.021
1657	1.042
1658	0.877
1659	0.995
1660	1.1
1661	1.091
1662	0.986
1663	1.069
1664	1.097
1665	1.193
1666	1.086
1667	1.188
1668	1.025
1669	0.901
1670	1.152
1671	1.237
1672	1.034
1673	0.892
1674	0.95
1675	0.821
1676	0.829
1677	0.694
1678	0.812
1679	0.898
1680	0.825
1681	0.647
1682	0.767
1683	0.823
1684	0.829
1685	0.596
1686	0.97
1687	0.677
1688	0.965
1689	0.916
1690	1.1
1691	0.989
1692	1.131
1693	1.346
1694	1.038
1695	0.767
1696	1.043
1697	0.855
1698	1.051
1699	1.058
1700	0.81
1701	1.171
1702	0.849
1703	0.868
1704	0.881
1705	0.691
1706	0.814
1707	0.852
1708	0.811
1709	0.8
1710	0.957
1711	0.847
1712	0.887
1713	0.86
1714	0.837
1715	1.102
1716	0.92
1717	0.839
1718	1.035
1719	1.065
1720	1.161
1721	1.022
1722	1.28
1723	1.477
1724	1.256
1725	1.302
1726	1.102
1727	1.442
1728	1.288
1729	1.072
1730	1.315
1731	1.153
1732	1.238
1733	1.259
1734	1.093
1735	0.942
1736	1.13
1737	0.882
1738	0.9
1739	1.169
1740	1.104
1741	1.053
1742	0.943
1743	1.009
1744	0.941
1745	0.798
1746	0.826
1747	0.598
1748	1.035
1749	0.75
1750	0.801
1751	0.831
1752	0.797
1753	0.805
1754	0.753
1755	0.571
1756	0.619
1757	0.8
1758	0.929
1759	0.686
1760	0.8
1761	0.809
1762	0.958
1763	0.888
1764	0.953
1765	0.946
1766	0.814
1767	0.869
1768	0.712
1769	0.832
1770	0.798
1771	1.094
1772	1.046
1773	1.064
1774	1.395
1775	1.185
1776	0.837
1777	0.904
1778	1.445
1779	1.334
1780	1.118
1781	1.268
1782	1.171
1783	0.969
1784	1.332
1785	1.168
1786	1.042
1787	1.251
1788	0.759
1789	0.974
1790	0.99
1791	1.005
1792	1.091
1793	1.172
1794	1.184
1795	1.37
1796	1.529
1797	1.279
1798	1.431
1799	1.617
1800	1.103
1801	1.19
1802	1.338
1803	1.171
1804	1.096
1805	1.304
1806	1.4
1807	1.328
1808	1.226
1809	0.979
1810	0.775
1811	0.708
1812	0.848
1813	0.772
1814	0.825
1815	0.898
1816	0.791
1817	0.853
1818	0.866
1819	0.861
1820	0.911
1821	0.823
1822	0.48
1823	0.988
1824	0.686
1825	0.614
1826	0.896
1827	0.945
1828	0.797
1829	0.696
1830	1.031
1831	0.9
1832	0.976
1833	0.819
1834	1.065
1835	1.135
1836	1.185
1837	0.885
1838	1.141
1839	0.862
1840	1.317
1841	1.237
1842	1.201
1843	1.099
1844	1.051
1845	1.127
1846	1.198
1847	1.151
1848	0.595
1849	0.864
1850	0.582
1851	0.574
1852	0.896
1853	0.875
1854	0.814
1855	0.909
1856	1.195
1857	0.943
1858	0.922
1859	1.068
1860	0.925
1861	1.158
1862	1.176
1863	0.521
1864	1.092
1865	0.624
1866	0.892
1867	0.802
1868	0.705
1869	0.842
1870	0.865
1871	0.981
1872	0.992
1873	1.017
1874	1.06
1875	1.047
1876	1.12
1877	0.682
1878	0.818
1879	0.761
1880	0.82
1881	0.534
1882	0.702
1883	0.873
1884	0.774
1885	0.782
1886	0.88
1887	1.025
1888	0.857
1889	0.696
1890	0.972
1891	0.994
1892	1.169
1893	1.062
1894	1.204
1895	1.087
1896	1.087
1897	1.112
1898	0.742
1899	0.998
1900	0.845
1901	0.884
1902	1.013
1903	0.761
1904	0.711
1905	0.977
1906	0.917
1907	0.756
1908	0.914
1909	0.992
1910	0.862
1911	0.748
1912	1.066
1913	1.026
1914	1.094
1915	1.137
1916	1.013
1917	0.95
1918	0.987
1919	1.036
1920	1.077
1921	1.181
1922	0.995
1923	1.01
1924	0.967
1925	0.96
1926	0.932
1927	0.906
1928	0.959
1929	0.861
1930	0.947
1931	1.094
1932	1.062
1933	0.995
1934	1.147
1935	0.906
1936	1.502
1937	1.144
1938	1.157
1939	1.249
1940	0.892
1941	1.269
1942	1.31
1943	1.457
1944	1.231
1945	1.604
1946	1.406
1947	1.094
1948	0.982
1949	1.37
1950	0.968
1951	1.181
1952	1.017
1953	1.003
1954	1.094
1955	1.03
1956	1.09
1957	0.775
1958	0.719
1959	0.965
1960	0.657
1961	0.837
1962	0.9
1963	0.694
1964	0.834
1965	0.727
1966	0.762
1967	0.763
1968	0.89
1969	0.902
1970	0.838
1971	1.141
1972	0.885
1973	0.593
1974	0.905
1975	0.794
1976	0.809
1977	0.894
1978	0.999
1979	0.956
1980	0.92
1981	1.049
1982	1.138
1983	0.929
1984	0.883
1985	1.149
1986	0.965
1987	0.994