ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca092 - Buena Vista - 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/3509
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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_ca092 - Buena Vista - 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: Buena Vista
#	Location:
#	Country: United States
#	Northernmost_Latitude: 36.72
#	Southernmost_Latitude: 36.72
#	Easternmost_Longitude: -118.88
#	Westernmost_Longitude: -118.88
#	Elevation: 2280 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca092B
#	Earliest_Year: 1434
#	Most_Recent_Year: 1981
#	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":"4.15954742347","T2":"15.667341068","M1":"0.0217839633064","M2":"0.415457338212"}}
#--------------------
# Species
#	Species_Name: Jeffrey pine
#	Species_Code: PIJE
#--------------------
# 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
1434	1.045
1435	1.229
1436	1.107
1437	1.032
1438	1.017
1439	1.078
1440	1.117
1441	1.184
1442	1.85
1443	1.552
1444	1.559
1445	1.554
1446	1.751
1447	1.726
1448	1.841
1449	1.61
1450	1.7
1451	1.166
1452	1.418
1453	1.389
1454	1.556
1455	1.329
1456	1.077
1457	1.249
1458	1.158
1459	1.098
1460	1.419
1461	1.047
1462	1.226
1463	1.084
1464	1.217
1465	1.164
1466	1.221
1467	1.325
1468	0.893
1469	1.063
1470	1.345
1471	1.264
1472	0.982
1473	1.074
1474	0.945
1475	1.037
1476	0.997
1477	1.051
1478	1.25
1479	1.211
1480	1.375
1481	1.202
1482	1.084
1483	1.149
1484	1.389
1485	1.264
1486	1.323
1487	1.007
1488	0.614
1489	1.057
1490	1.027
1491	1.062
1492	1.01
1493	0.995
1494	1.047
1495	0.881
1496	0.966
1497	0.768
1498	0.893
1499	0.783
1500	0.738
1501	0.677
1502	0.855
1503	0.614
1504	0.846
1505	0.864
1506	0.691
1507	0.906
1508	0.96
1509	1.349
1510	1.01
1511	0.901
1512	0.906
1513	1.012
1514	0.841
1515	0.748
1516	0.895
1517	0.974
1518	0.907
1519	0.833
1520	1.066
1521	1.03
1522	0.994
1523	0.955
1524	1.026
1525	1.127
1526	0.889
1527	0.89
1528	1.159
1529	1.105
1530	0.943
1531	1.114
1532	0.76
1533	0.442
1534	0.881
1535	0.877
1536	0.817
1537	0.685
1538	0.837
1539	1.156
1540	0.918
1541	0.918
1542	0.924
1543	0.867
1544	1.103
1545	0.916
1546	0.827
1547	1.062
1548	0.736
1549	0.947
1550	0.961
1551	0.943
1552	1.21
1553	1.271
1554	1.217
1555	0.921
1556	1.12
1557	1.004
1558	1.106
1559	1.218
1560	0.907
1561	0.857
1562	0.712
1563	0.736
1564	0.911
1565	0.979
1566	0.987
1567	0.989
1568	0.89
1569	0.823
1570	0.682
1571	0.744
1572	0.826
1573	0.797
1574	0.848
1575	0.961
1576	0.951
1577	1.136
1578	1.057
1579	0.801
1580	0.649
1581	0.847
1582	0.764
1583	1.038
1584	0.922
1585	1.011
1586	1.054
1587	1.025
1588	1.136
1589	1.106
1590	0.971
1591	1.131
1592	1.026
1593	0.811
1594	1
1595	1.195
1596	1.005
1597	1.179
1598	0.914
1599	0.973
1600	1.112
1601	0.818
1602	1.127
1603	0.985
1604	1.174
1605	1.141
1606	1.321
1607	1.128
1608	1.183
1609	1.059
1610	1.021
1611	1.11
1612	0.973
1613	0.887
1614	0.914
1615	1.085
1616	0.976
1617	1.002
1618	1.229
1619	0.987
1620	1.022
1621	0.919
1622	0.936
1623	1.024
1624	0.918
1625	0.904
1626	0.813
1627	0.736
1628	0.959
1629	0.879
1630	0.797
1631	0.679
1632	0.846
1633	0.75
1634	0.877
1635	0.874
1636	1.144
1637	0.686
1638	0.668
1639	0.874
1640	0.905
1641	1.115
1642	1.377
1643	1.368
1644	1.295
1645	1.227
1646	0.969
1647	1.064
1648	1.088
1649	1.304
1650	1.26
1651	1.164
1652	1.33
1653	1.203
1654	1.014
1655	0.676
1656	0.927
1657	0.872
1658	0.996
1659	0.928
1660	0.862
1661	1.013
1662	0.846
1663	0.958
1664	1.016
1665	0.933
1666	1.188
1667	1.052
1668	0.989
1669	0.938
1670	0.985
1671	1.111
1672	1.014
1673	1.042
1674	1.14
1675	1.181
1676	0.917
1677	0.91
1678	0.946
1679	0.956
1680	0.812
1681	1.268
1682	1.098
1683	1.017
1684	0.921
1685	0.883
1686	0.926
1687	0.871
1688	1.009
1689	0.827
1690	0.707
1691	0.816
1692	0.921
1693	0.725
1694	0.762
1695	0.893
1696	0.814
1697	1.085
1698	0.937
1699	1.078
1700	1.128
1701	1.084
1702	1.077
1703	0.928
1704	0.904
1705	1.215
1706	0.905
1707	0.691
1708	0.596
1709	0.673
1710	0.765
1711	0.642
1712	0.655
1713	0.896
1714	0.869
1715	0.822
1716	0.875
1717	1.077
1718	1.005
1719	1.049
1720	0.983
1721	0.947
1722	0.882
1723	1.004
1724	0.938
1725	1.084
1726	1.295
1727	1.108
1728	1.084
1729	0.614
1730	0.882
1731	1.05
1732	1.001
1733	1.008
1734	1.007
1735	0.929
1736	0.925
1737	1.024
1738	1.019
1739	1.087
1740	1.186
1741	1.091
1742	1.059
1743	1.07
1744	1.044
1745	1.329
1746	1.008
1747	1.162
1748	0.78
1749	1.12
1750	0.92
1751	0.795
1752	0.763
1753	0.722
1754	0.728
1755	0.919
1756	0.75
1757	0.673
1758	0.886
1759	0.837
1760	0.904
1761	1.135
1762	0.997
1763	1.005
1764	0.86
1765	0.986
1766	0.978
1767	0.996
1768	1.07
1769	0.884
1770	1.309
1771	0.99
1772	1.32
1773	1.301
1774	1.068
1775	1.185
1776	1.176
1777	1.099
1778	0.895
1779	0.901
1780	1.145
1781	0.808
1782	0.865
1783	0.835
1784	0.962
1785	0.993
1786	0.996
1787	0.842
1788	0.818
1789	0.906
1790	0.849
1791	0.993
1792	1.185
1793	0.932
1794	1.087
1795	0.789
1796	0.639
1797	0.916
1798	0.981
1799	1.009
1800	1.036
1801	0.757
1802	0.928
1803	1.008
1804	1.072
1805	1.085
1806	0.904
1807	0.941
1808	0.871
1809	1.258
1810	1.21
1811	1.514
1812	1.353
1813	0.96
1814	1.387
1815	1.144
1816	1.304
1817	1.397
1818	1.43
1819	1.249
1820	1.157
1821	1.01
1822	0.991
1823	0.841
1824	0.866
1825	1.256
1826	1.283
1827	0.945
1828	1.164
1829	1.331
1830	0.867
1831	0.873
1832	1.28
1833	0.85
1834	1.01
1835	1.049
1836	1.155
1837	1.37
1838	1.445
1839	1.234
1840	1.266
1841	1.066
1842	0.799
1843	0.947
1844	0.848
1845	1.267
1846	0.807
1847	0.829
1848	0.792
1849	0.947
1850	0.983
1851	0.994
1852	1.258
1853	1.256
1854	0.813
1855	0.985
1856	0.749
1857	1.067
1858	0.76
1859	0.619
1860	0.996
1861	1.324
1862	0.983
1863	1.179
1864	0.992
1865	0.813
1866	1.196
1867	0.995
1868	1.189
1869	1.202
1870	1.215
1871	1.078
1872	0.878
1873	0.909
1874	0.79
1875	1.306
1876	0.958
1877	1.167
1878	1.034
1879	1.167
1880	0.901
1881	1.225
1882	1.043
1883	0.998
1884	1.213
1885	1.655
1886	0.93
1887	1.088
1888	1.129
1889	0.946
1890	1.005
1891	1.096
1892	0.997
1893	0.829
1894	1.169
1895	1.117
1896	1.025
1897	1.202
1898	1.14
1899	1.058
1900	1.282
1901	1.532
1902	1.174
1903	0.919
1904	0.903
1905	1.018
1906	1.036
1907	1.3
1908	1.369
1909	1.183
1910	0.885
1911	0.959
1912	0.99
1913	1.505
1914	1.212
1915	0.791
1916	0.876
1917	0.703
1918	0.788
1919	0.862
1920	0.817
1921	1.061
1922	0.853
1923	1.023
1924	0.876
1925	1.125
1926	1.216
1927	0.593
1928	0.825
1929	0.685
1930	0.786
1931	1.234
1932	0.774
1933	0.615
1934	1.002
1935	0.682
1936	0.939
1937	0.834
1938	0.95
1939	1.194
1940	0.958
1941	0.949
1942	1.181
1943	0.978
1944	0.698
1945	0.989
1946	1.145
1947	1.201
1948	0.814
1949	0.913
1950	1.005
1951	1.076
1952	0.845
1953	0.906
1954	1.267
1955	0.75
1956	0.774
1957	0.975
1958	1.314
1959	0.818
1960	0.56
1961	0.737
1962	0.886
1963	0.797
1964	1.03
1965	0.944
1966	1.096
1967	0.809
1968	0.815
1969	0.778
1970	0.566
1971	0.642
1972	0.881
1973	0.91
1974	0.882
1975	0.634
1976	0.913
1977	1.059
1978	1.024
1979	0.904
1980	0.763
1981	1.015