ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa050 - N. Fork White Creek - 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/3323
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_wa050 - N. Fork White Creek - 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 VaganovÃÂ¢ÃÂÃÂShashkin 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 4ÃÂ¢ÃÂÃÂ6 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 modelÃÂ¢ÃÂÃÂs 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: N. Fork White Creek
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.02
#	Southernmost_Latitude: 47.02
#	Easternmost_Longitude: -121.7
#	Westernmost_Longitude: -121.7
#	Elevation: 914 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa050B
#	Earliest_Year: 1447
#	Most_Recent_Year: 1980
#	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":"4.78888943012","T2":"14.6676364106","M1":"0.0230080210153","M2":"0.545177175933"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# 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
1447	1.103
1448	1.023
1449	0.873
1450	0.881
1451	0.861
1452	0.952
1453	0.946
1454	0.85
1455	0.858
1456	0.865
1457	1.014
1458	0.952
1459	0.932
1460	0.989
1461	0.889
1462	0.94
1463	1.146
1464	1.008
1465	0.872
1466	0.881
1467	0.89
1468	1.004
1469	0.87
1470	0.78
1471	0.735
1472	0.634
1473	0.796
1474	0.641
1475	0.641
1476	0.735
1477	0.654
1478	0.733
1479	0.662
1480	0.716
1481	0.804
1482	0.913
1483	0.905
1484	1.108
1485	1.129
1486	1.166
1487	1.083
1488	1.11
1489	1.169
1490	1.126
1491	1.094
1492	1.019
1493	1.117
1494	0.934
1495	0.956
1496	0.975
1497	0.986
1498	0.843
1499	1.026
1500	1.317
1501	1.109
1502	0.951
1503	1.225
1504	1.461
1505	1.585
1506	1.367
1507	1.298
1508	1.348
1509	1.11
1510	0.963
1511	0.958
1512	1.043
1513	0.969
1514	1.056
1515	0.927
1516	0.844
1517	0.931
1518	0.763
1519	1.099
1520	1.194
1521	1.078
1522	1.112
1523	1.189
1524	1.089
1525	1.288
1526	1.187
1527	1.141
1528	1.246
1529	1.072
1530	1.204
1531	0.939
1532	1.104
1533	1.033
1534	0.925
1535	1.104
1536	1.029
1537	0.889
1538	0.85
1539	0.909
1540	0.903
1541	0.946
1542	0.929
1543	1.009
1544	0.988
1545	0.834
1546	0.733
1547	0.923
1548	0.87
1549	0.747
1550	0.842
1551	0.873
1552	0.869
1553	1.085
1554	0.904
1555	1.096
1556	0.918
1557	1.055
1558	1.062
1559	1.134
1560	1.034
1561	0.95
1562	0.819
1563	0.889
1564	1.115
1565	1.128
1566	1.422
1567	1.188
1568	0.973
1569	1.05
1570	1.017
1571	1.02
1572	1.07
1573	1.027
1574	1.167
1575	1.214
1576	0.751
1577	0.909
1578	1.015
1579	0.979
1580	0.923
1581	0.743
1582	0.813
1583	0.91
1584	0.844
1585	0.963
1586	1.026
1587	1
1588	1.205
1589	0.988
1590	1.16
1591	1.012
1592	0.836
1593	0.811
1594	0.865
1595	0.778
1596	0.913
1597	1.264
1598	1.252
1599	1.4
1600	1.383
1601	1.232
1602	1.121
1603	1.037
1604	0.917
1605	0.889
1606	0.996
1607	1.125
1608	0.959
1609	0.928
1610	0.824
1611	0.941
1612	0.929
1613	0.682
1614	0.772
1615	0.761
1616	0.909
1617	0.889
1618	0.741
1619	0.776
1620	0.689
1621	0.648
1622	0.83
1623	0.626
1624	0.865
1625	0.871
1626	0.827
1627	0.73
1628	0.653
1629	0.777
1630	0.812
1631	0.963
1632	1.002
1633	1.031
1634	0.847
1635	0.603
1636	0.769
1637	0.812
1638	0.904
1639	0.804
1640	0.9
1641	0.776
1642	0.761
1643	0.73
1644	0.736
1645	0.774
1646	0.892
1647	0.703
1648	0.884
1649	0.79
1650	0.681
1651	0.849
1652	0.956
1653	0.79
1654	0.953
1655	0.928
1656	1.003
1657	0.796
1658	0.954
1659	1.148
1660	1.018
1661	1.036
1662	0.951
1663	0.686
1664	0.786
1665	0.609
1666	0.769
1667	0.79
1668	0.907
1669	0.918
1670	0.705
1671	0.801
1672	0.78
1673	0.66
1674	0.671
1675	0.896
1676	0.919
1677	0.805
1678	1.011
1679	0.902
1680	0.852
1681	1.031
1682	1.186
1683	1.105
1684	0.906
1685	1.298
1686	1.027
1687	1.162
1688	0.948
1689	1.102
1690	1.035
1691	1.16
1692	1.27
1693	1.057
1694	0.859
1695	0.89
1696	0.824
1697	1.034
1698	0.979
1699	1.026
1700	1.187
1701	0.844
1702	0.964
1703	0.965
1704	0.903
1705	0.829
1706	0.861
1707	0.938
1708	0.777
1709	1.033
1710	1.158
1711	1.091
1712	1.099
1713	1.03
1714	1.204
1715	1.214
1716	1.122
1717	0.974
1718	0.802
1719	1.096
1720	0.973
1721	1.238
1722	1.535
1723	1.412
1724	1.319
1725	1.364
1726	1.442
1727	1.447
1728	1.144
1729	1.286
1730	1.037
1731	0.924
1732	1.096
1733	1.245
1734	1.149
1735	1.194
1736	0.974
1737	1.042
1738	1.113
1739	1.145
1740	1.071
1741	0.855
1742	0.824
1743	0.899
1744	0.756
1745	0.888
1746	0.72
1747	0.938
1748	0.63
1749	0.647
1750	0.789
1751	0.742
1752	0.831
1753	0.844
1754	0.66
1755	0.769
1756	0.869
1757	0.99
1758	0.918
1759	0.942
1760	0.849
1761	0.966
1762	0.976
1763	0.92
1764	0.819
1765	0.844
1766	0.905
1767	0.759
1768	0.805
1769	0.704
1770	0.968
1771	1.048
1772	1.019
1773	1.263
1774	1.103
1775	0.983
1776	0.787
1777	0.983
1778	1.017
1779	0.941
1780	1.115
1781	1.123
1782	0.902
1783	0.862
1784	0.888
1785	0.908
1786	1.098
1787	0.865
1788	1.101
1789	1.188
1790	0.993
1791	0.883
1792	0.976
1793	1.024
1794	1.058
1795	1.035
1796	1.1
1797	1.001
1798	1.087
1799	0.874
1800	0.997
1801	1.2
1802	1.068
1803	1.124
1804	1.199
1805	1.166
1806	1.234
1807	0.97
1808	0.921
1809	0.768
1810	0.781
1811	0.83
1812	0.858
1813	0.894
1814	0.887
1815	0.85
1816	0.806
1817	0.957
1818	0.885
1819	0.953
1820	0.913
1821	0.726
1822	0.872
1823	0.814
1824	0.825
1825	1.033
1826	0.98
1827	0.827
1828	0.808
1829	0.963
1830	0.858
1831	0.914
1832	1.012
1833	1.158
1834	1.084
1835	0.947
1836	0.875
1837	0.862
1838	0.957
1839	1.203
1840	0.937
1841	0.978
1842	0.909
1843	0.998
1844	1.146
1845	1.16
1846	1.109
1847	0.804
1848	0.853
1849	0.696
1850	0.719
1851	0.941
1852	0.812
1853	0.825
1854	0.917
1855	1.187
1856	1.063
1857	0.969
1858	1.153
1859	0.994
1860	1.195
1861	1.227
1862	0.91
1863	1.131
1864	0.809
1865	0.873
1866	0.912
1867	0.878
1868	1.063
1869	0.919
1870	1.182
1871	0.946
1872	0.988
1873	1.038
1874	0.933
1875	1.098
1876	1.088
1877	1.18
1878	1.056
1879	1.125
1880	0.846
1881	0.897
1882	1.05
1883	0.869
1884	0.881
1885	0.903
1886	0.97
1887	0.87
1888	0.983
1889	1.073
1890	0.84
1891	1.067
1892	1.242
1893	1.126
1894	1.04
1895	0.851
1896	0.896
1897	0.648
1898	0.851
1899	0.942
1900	1.264
1901	1.183
1902	1.001
1903	1.034
1904	1.098
1905	1.017
1906	0.838
1907	0.862
1908	1.121
1909	0.968
1910	0.861
1911	0.935
1912	0.977
1913	1.142
1914	1.063
1915	1.068
1916	1.235
1917	1.148
1918	0.984
1919	1.147
1920	1.227
1921	1.154
1922	0.823
1923	0.839
1924	0.873
1925	0.913
1926	0.921
1927	0.921
1928	0.997
1929	0.953
1930	0.837
1931	0.891
1932	0.938
1933	1.07
1934	1.02
1935	1.121
1936	0.915
1937	1.019
1938	0.961
1939	0.718
1940	0.925
1941	0.97
1942	1.113
1943	1.454
1944	1.537
1945	1.203
1946	1.121
1947	1.224
1948	1.311
1949	0.848
1950	1.068
1951	0.895
1952	0.962
1953	0.956
1954	1.148
1955	1.316
1956	0.953
1957	0.991
1958	1.185
1959	0.983
1960	1.134
1961	1.076
1962	0.835
1963	1.13
1964	1.179
1965	1.078
1966	0.863
1967	0.916
1968	0.841
1969	0.948
1970	1.177
1971	0.887
1972	0.905
1973	1.042
1974	0.864
1975	0.915
1976	1.191
1977	1.323
1978	1.122
1979	1.29
1980	0.125