ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ca560 - Yosemite Park   E Eingang - 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.
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#
# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/2862
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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_ca560 - Yosemite Park   E Eingang - 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: Yosemite Park   E Eingang
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.8
#	Southernmost_Latitude: 37.8
#	Easternmost_Longitude: -119.25
#	Westernmost_Longitude: -119.25
#	Elevation: 3000 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ca560B
#	Earliest_Year: 1513
#	Most_Recent_Year: 1983
#	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":"4.39894407588","T2":"14.8336772456","M1":"0.0224668710887","M2":"0.522018928045"}}
#--------------------
# Species
#	Species_Name: lodgepole pine
#	Species_Code: PICO
#--------------------
# 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
1513	0.894
1514	1.107
1515	1.069
1516	1.027
1517	1.11
1518	1.01
1519	0.929
1520	0.853
1521	0.932
1522	1.266
1523	1.07
1524	0.868
1525	1.137
1526	0.996
1527	0.946
1528	1.047
1529	1.04
1530	0.932
1531	0.807
1532	1.212
1533	0.941
1534	0.918
1535	1.147
1536	1.054
1537	1.013
1538	0.901
1539	1.095
1540	0.873
1541	0.944
1542	0.848
1543	0.687
1544	0.804
1545	1.156
1546	0.831
1547	0.958
1548	0.886
1549	0.933
1550	0.991
1551	0.956
1552	0.948
1553	1.323
1554	1.071
1555	0.923
1556	1.087
1557	0.905
1558	1.043
1559	1.047
1560	1.063
1561	0.886
1562	1.061
1563	0.948
1564	1.167
1565	1.365
1566	0.918
1567	1.075
1568	1.31
1569	1.307
1570	1.25
1571	1.04
1572	1.139
1573	1.073
1574	1.139
1575	1.019
1576	0.999
1577	1.028
1578	0.88
1579	0.844
1580	0.669
1581	0.734
1582	0.831
1583	1.131
1584	0.935
1585	0.857
1586	1.029
1587	1.102
1588	1.228
1589	1.322
1590	1.264
1591	1.108
1592	1.074
1593	1.139
1594	1.226
1595	1.072
1596	0.916
1597	0.95
1598	0.986
1599	0.799
1600	0.85
1601	0.439
1602	0.352
1603	0.641
1604	0.517
1605	0.495
1606	0.53
1607	0.486
1608	0.605
1609	0.763
1610	0.728
1611	0.929
1612	0.826
1613	0.698
1614	1.004
1615	0.845
1616	0.989
1617	1.08
1618	0.744
1619	0.845
1620	0.784
1621	0.8
1622	0.887
1623	0.963
1624	0.991
1625	1.096
1626	0.823
1627	1.01
1628	1.236
1629	1.19
1630	1.086
1631	0.96
1632	1.048
1633	1.18
1634	1.332
1635	1.034
1636	1.262
1637	1.577
1638	1.02
1639	1.124
1640	1.317
1641	1.03
1642	0.791
1643	0.887
1644	0.945
1645	0.895
1646	0.83
1647	0.808
1648	1.142
1649	1.239
1650	1.476
1651	1.367
1652	1.065
1653	0.707
1654	0.843
1655	0.613
1656	0.96
1657	1.034
1658	0.892
1659	1.087
1660	1.237
1661	1.194
1662	1.248
1663	0.921
1664	1.35
1665	1.379
1666	1.119
1667	0.882
1668	0.946
1669	1.044
1670	0.977
1671	0.811
1672	0.96
1673	1.058
1674	1.173
1675	1.246
1676	1.026
1677	1.017
1678	0.888
1679	1.306
1680	1.198
1681	0.686
1682	1.206
1683	1.094
1684	1.041
1685	1.008
1686	1.2
1687	1.065
1688	1.077
1689	1.176
1690	0.908
1691	0.963
1692	1.264
1693	1.316
1694	1.37
1695	1.095
1696	0.938
1697	1.396
1698	1.424
1699	1.042
1700	1.078
1701	1.021
1702	0.901
1703	0.912
1704	0.849
1705	0.981
1706	0.777
1707	0.644
1708	0.78
1709	1.165
1710	1.021
1711	1.119
1712	1.089
1713	1.019
1714	0.784
1715	0.759
1716	0.79
1717	1.037
1718	0.832
1719	0.8
1720	1.149
1721	1
1722	1.045
1723	1.013
1724	1.325
1725	1.333
1726	1.229
1727	1.398
1728	1.412
1729	1.087
1730	0.901
1731	1.264
1732	1.225
1733	0.952
1734	1.086
1735	0.69
1736	0.74
1737	0.858
1738	0.881
1739	0.905
1740	0.913
1741	1.133
1742	0.953
1743	1.218
1744	1.13
1745	1.474
1746	1.24
1747	1.259
1748	1.123
1749	0.938
1750	0.925
1751	1.115
1752	0.862
1753	0.921
1754	0.889
1755	0.699
1756	0.77
1757	0.653
1758	0.707
1759	0.788
1760	0.883
1761	0.991
1762	0.963
1763	0.989
1764	0.969
1765	0.913
1766	0.703
1767	0.83
1768	1.125
1769	1.092
1770	0.763
1771	0.915
1772	0.95
1773	1.015
1774	1.177
1775	1.099
1776	0.93
1777	0.87
1778	0.936
1779	1.09
1780	1.065
1781	0.901
1782	0.694
1783	0.823
1784	0.997
1785	1.381
1786	1.388
1787	0.893
1788	1.007
1789	0.969
1790	1.005
1791	1.034
1792	0.973
1793	0.717
1794	0.9
1795	0.715
1796	0.584
1797	0.817
1798	1.13
1799	0.99
1800	0.996
1801	1.154
1802	1.079
1803	0.974
1804	0.957
1805	0.97
1806	0.941
1807	1.018
1808	0.795
1809	0.735
1810	0.583
1811	0.53
1812	0.543
1813	0.52
1814	0.506
1815	0.609
1816	0.538
1817	0.624
1818	0.49
1819	0.573
1820	0.707
1821	0.675
1822	0.628
1823	0.673
1824	0.573
1825	0.805
1826	0.979
1827	1.084
1828	0.927
1829	0.692
1830	0.787
1831	0.954
1832	1.136
1833	1.054
1834	0.945
1835	0.759
1836	0.866
1837	0.897
1838	0.946
1839	1.038
1840	1.039
1841	0.795
1842	0.72
1843	0.783
1844	0.684
1845	0.789
1846	0.84
1847	0.808
1848	0.903
1849	0.877
1850	0.937
1851	0.777
1852	1.09
1853	0.907
1854	0.975
1855	0.939
1856	0.695
1857	0.906
1858	0.964
1859	1.107
1860	1.124
1861	1.144
1862	0.705
1863	0.965
1864	0.822
1865	0.865
1866	0.929
1867	0.991
1868	0.892
1869	0.991
1870	1.019
1871	0.965
1872	1.092
1873	1.352
1874	1.296
1875	1.307
1876	1.289
1877	1.283
1878	1.242
1879	1.315
1880	1.235
1881	1.429
1882	1.34
1883	0.849
1884	1.113
1885	0.708
1886	1.158
1887	0.735
1888	0.869
1889	0.88
1890	0.817
1891	1.243
1892	1.258
1893	1.161
1894	1.228
1895	1.287
1896	1.283
1897	1.493
1898	1.141
1899	0.822
1900	1.322
1901	1.595
1902	1.386
1903	1.233
1904	1.578
1905	1.412
1906	1.196
1907	1.612
1908	1.419
1909	1.439
1910	1.291
1911	1.109
1912	1.048
1913	0.755
1914	1.109
1915	1.001
1916	0.834
1917	1.001
1918	0.751
1919	1.177
1920	0.849
1921	0.945
1922	1.053
1923	0.822
1924	0.893
1925	0.919
1926	1.09
1927	1.164
1928	1.279
1929	0.741
1930	0.763
1931	1.034
1932	0.893
1933	0.935
1934	0.849
1935	1.203
1936	1.088
1937	1.176
1938	1.216
1939	0.939
1940	1.132
1941	0.987
1942	1.31
1943	1.139
1944	0.864
1945	0.908
1946	1.134
1947	0.898
1948	0.968
1949	0.818
1950	1.006
1951	0.994
1952	0.974
1953	0.938
1954	0.993
1955	0.925
1956	0.827
1957	0.919
1958	1.134
1959	0.941
1960	0.804
1961	0.695
1962	0.853
1963	1.014
1964	0.98
1965	0.867
1966	0.969
1967	0.913
1968	0.78
1969	1.032
1970	0.782
1971	0.669
1972	0.679
1973	0.913
1974	0.975
1975	1.097
1976	0.933
1977	0.912
1978	0.947
1979	1.201
1980	0.975
1981	1.092
1982	0.927
1983	1.161