ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_wa059 - Blewett 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/3300
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# 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_wa059 - Blewett 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 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: Blewett Pass
#	Location:
#	Country: United States
#	Northernmost_Latitude: 47.35
#	Southernmost_Latitude: 47.35
#	Easternmost_Longitude: -120.55
#	Westernmost_Longitude: -120.55
#	Elevation: 1240 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_wa059B
#	Earliest_Year: 1433
#	Most_Recent_Year: 1980
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.60364952478","T2":"13.518118974","M1":"0.0233045792828","M2":"0.537669028618"}}
#--------------------
# Species
#	Species_Name: ponderosa pine
#	Species_Code: PIPO
#--------------------
# 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
1433	0.945
1434	0.947
1435	0.984
1436	1.145
1437	1.042
1438	0.909
1439	1.107
1440	1.17
1441	1.185
1442	1.231
1443	1.153
1444	1.042
1445	1.211
1446	1.241
1447	1.125
1448	0.964
1449	0.978
1450	1.062
1451	1.043
1452	0.961
1453	0.885
1454	1.004
1455	1.213
1456	1.416
1457	1.137
1458	1.338
1459	1.234
1460	1.02
1461	1.251
1462	1.22
1463	1.086
1464	1.03
1465	1.134
1466	1.114
1467	1.044
1468	0.983
1469	0.998
1470	0.89
1471	0.934
1472	0.849
1473	1.025
1474	0.863
1475	1.024
1476	1.057
1477	0.988
1478	0.987
1479	1.086
1480	1.095
1481	1.028
1482	1.094
1483	1.04
1484	0.995
1485	1.11
1486	0.842
1487	0.735
1488	0.546
1489	0.794
1490	0.811
1491	0.777
1492	0.8
1493	0.981
1494	0.984
1495	0.991
1496	1.185
1497	1.164
1498	0.926
1499	0.886
1500	0.909
1501	0.989
1502	0.97
1503	1.131
1504	1.086
1505	1.075
1506	0.984
1507	1.007
1508	1.161
1509	1.157
1510	1.036
1511	1.009
1512	1.118
1513	0.953
1514	1.101
1515	1.006
1516	0.887
1517	1.127
1518	0.945
1519	1.038
1520	1.169
1521	1.276
1522	1.106
1523	0.838
1524	1.256
1525	1.097
1526	1.014
1527	0.912
1528	1.1
1529	1.11
1530	0.913
1531	0.94
1532	0.927
1533	0.87
1534	0.781
1535	0.838
1536	1.033
1537	0.998
1538	0.947
1539	0.911
1540	1.179
1541	0.952
1542	0.785
1543	0.959
1544	0.823
1545	0.997
1546	0.962
1547	1.008
1548	0.611
1549	1.042
1550	0.911
1551	1.037
1552	0.988
1553	1.058
1554	0.999
1555	1.036
1556	1.102
1557	0.992
1558	0.992
1559	1.01
1560	1.126
1561	1.027
1562	0.957
1563	0.999
1564	1.078
1565	0.947
1566	1.196
1567	1.042
1568	0.953
1569	1.027
1570	0.912
1571	0.858
1572	1.023
1573	0.965
1574	1.011
1575	1.036
1576	0.962
1577	0.975
1578	0.886
1579	0.855
1580	1.021
1581	0.783
1582	0.877
1583	1.065
1584	0.908
1585	0.971
1586	0.959
1587	1.044
1588	1.176
1589	0.943
1590	1.478
1591	1.001
1592	0.945
1593	0.952
1594	0.813
1595	0.915
1596	0.854
1597	1.072
1598	1.111
1599	1.027
1600	1.062
1601	1.064
1602	1.089
1603	0.696
1604	0.908
1605	0.729
1606	0.811
1607	0.983
1608	1.071
1609	0.893
1610	1.146
1611	0.91
1612	0.952
1613	1.031
1614	0.971
1615	0.896
1616	1.104
1617	1.176
1618	1.001
1619	1.106
1620	1.06
1621	1.052
1622	0.972
1623	0.863
1624	1.024
1625	0.932
1626	0.958
1627	1.042
1628	0.87
1629	0.934
1630	0.872
1631	0.889
1632	1.014
1633	0.883
1634	0.693
1635	0.756
1636	0.607
1637	0.717
1638	0.911
1639	0.924
1640	0.998
1641	0.992
1642	1.035
1643	1
1644	0.982
1645	0.978
1646	0.879
1647	0.772
1648	0.894
1649	0.698
1650	0.772
1651	0.901
1652	0.932
1653	0.915
1654	0.898
1655	0.809
1656	1.206
1657	0.837
1658	1.188
1659	0.91
1660	0.931
1661	1.124
1662	0.86
1663	0.965
1664	0.83
1665	0.784
1666	0.971
1667	1.074
1668	0.929
1669	1.153
1670	1.073
1671	1.105
1672	1.03
1673	1.054
1674	0.838
1675	1.145
1676	1.139
1677	0.786
1678	0.92
1679	0.939
1680	0.829
1681	1.31
1682	0.978
1683	0.914
1684	0.72
1685	0.788
1686	0.929
1687	0.894
1688	0.765
1689	0.882
1690	0.828
1691	0.851
1692	0.914
1693	0.989
1694	0.947
1695	0.882
1696	0.887
1697	0.925
1698	0.863
1699	1.066
1700	1.069
1701	0.997
1702	1.175
1703	1.059
1704	1.417
1705	1.034
1706	0.933
1707	0.999
1708	0.836
1709	0.935
1710	0.984
1711	0.96
1712	1.03
1713	0.819
1714	0.862
1715	1.069
1716	1.038
1717	0.81
1718	0.908
1719	0.926
1720	0.885
1721	0.772
1722	0.866
1723	1.152
1724	0.88
1725	0.908
1726	0.989
1727	1.314
1728	1.2
1729	1.115
1730	1.047
1731	1.154
1732	1.4
1733	1.498
1734	1.149
1735	1.251
1736	1.049
1737	1.115
1738	1.116
1739	0.974
1740	0.774
1741	0.772
1742	0.812
1743	0.901
1744	0.805
1745	0.877
1746	1.098
1747	0.983
1748	0.973
1749	1.016
1750	1.416
1751	1.24
1752	1.267
1753	0.912
1754	0.868
1755	1.001
1756	0.806
1757	0.88
1758	0.815
1759	0.807
1760	0.953
1761	1.362
1762	1.111
1763	1.271
1764	0.878
1765	1.268
1766	1.145
1767	1.072
1768	1.124
1769	0.981
1770	1.253
1771	1.29
1772	1.025
1773	1.315
1774	1.3
1775	1.155
1776	0.869
1777	0.936
1778	0.866
1779	0.955
1780	1.027
1781	0.961
1782	0.873
1783	0.764
1784	0.97
1785	0.932
1786	0.884
1787	0.852
1788	1.081
1789	1.128
1790	1.041
1791	1.225
1792	1.084
1793	1.178
1794	0.961
1795	0.93
1796	0.922
1797	0.848
1798	0.846
1799	0.921
1800	1.055
1801	0.984
1802	1.069
1803	1.002
1804	0.989
1805	1.186
1806	1.086
1807	1.132
1808	1.197
1809	1.131
1810	1.028
1811	1.035
1812	1.079
1813	0.917
1814	1.285
1815	1.295
1816	1.215
1817	1.057
1818	1.158
1819	1.153
1820	1.085
1821	0.963
1822	1.138
1823	0.752
1824	1.076
1825	1.295
1826	1.099
1827	0.964
1828	0.989
1829	1.022
1830	0.818
1831	0.747
1832	1.01
1833	1.043
1834	0.977
1835	0.858
1836	0.854
1837	1
1838	0.974
1839	1.035
1840	0.801
1841	0.871
1842	0.888
1843	0.918
1844	0.856
1845	1.003
1846	1.045
1847	0.828
1848	0.776
1849	0.539
1850	0.724
1851	0.966
1852	0.799
1853	0.872
1854	0.903
1855	1.173
1856	1.209
1857	1.111
1858	1.002
1859	1.022
1860	1.009
1861	1.106
1862	1.098
1863	1.154
1864	0.94
1865	0.722
1866	0.968
1867	0.989
1868	1.064
1869	0.87
1870	0.833
1871	0.841
1872	0.904
1873	0.994
1874	0.958
1875	0.88
1876	0.828
1877	1.258
1878	1.258
1879	1.178
1880	0.913
1881	1.156
1882	1.01
1883	0.867
1884	0.945
1885	1.188
1886	0.804
1887	0.778
1888	0.897
1889	0.707
1890	0.62
1891	0.697
1892	0.72
1893	0.805
1894	0.997
1895	1.016
1896	0.789
1897	0.877
1898	0.774
1899	0.732
1900	1.124
1901	1.279
1902	1.072
1903	1.212
1904	1.283
1905	1.283
1906	1.533
1907	1.413
1908	1.662
1909	1.234
1910	1.08
1911	1.175
1912	1.261
1913	1.437
1914	1.424
1915	1.391
1916	1.216
1917	1.218
1918	1.138
1919	1.174
1920	0.987
1921	1.207
1922	0.907
1923	1.006
1924	0.867
1925	0.922
1926	0.827
1927	0.994
1928	1.002
1929	0.858
1930	0.907
1931	0.86
1932	0.907
1933	0.95
1934	1.028
1935	0.888
1936	0.75
1937	0.89
1938	0.878
1939	0.844
1940	1.004
1941	1.057
1942	1.194
1943	1.044
1944	1.088
1945	0.872
1946	1.182
1947	1.137
1948	1.076
1949	0.99
1950	1.036
1951	1.054
1952	0.92
1953	0.888
1954	0.993
1955	1.076
1956	0.959
1957	0.869
1958	0.706
1959	0.733
1960	0.973
1961	0.878
1962	0.935
1963	0.962
1964	0.91
1965	0.747
1966	0.946
1967	0.673
1968	0.619
1969	0.741
1970	0.603
1971	0.606
1972	0.611
1973	0.553
1974	0.712
1975	0.704
1976	1.097
1977	0.89
1978	0.981
1979	0.783
1980	1.086