ÃÂ¯ÃÂ»ÃÂ¿# australia_newz066 - Hihitahi - 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/5367
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: australia_newz066 - Hihitahi - 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: Hihitahi
#	Location:
#	Country: New Zealand
#	Northernmost_Latitude: -39.53
#	Southernmost_Latitude: -39.53
#	Easternmost_Longitude: 175.73
#	Westernmost_Longitude: 175.73
#	Elevation: 976 m
#--------------------
# Data_Collection
#	Collection_Name: australia_newz066B
#	Earliest_Year: 1431
#	Most_Recent_Year: 1991
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"5.05083667251","T2":"15.1898412617","M1":"0.0227183228618","M2":"0.453926868764"}}
#--------------------
# Species
#	Species_Name: New Zealand cedar
#	Species_Code: LIBI
#--------------------
# 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
1431	0.805
1432	0.78
1433	1.107
1434	0.852
1435	0.876
1436	1.086
1437	1.132
1438	0.877
1439	0.95
1440	1.088
1441	0.939
1442	0.686
1443	0.595
1444	0.544
1445	0.521
1446	0.856
1447	0.895
1448	0.939
1449	1.052
1450	1.15
1451	1.112
1452	0.736
1453	1.07
1454	1.009
1455	0.793
1456	0.613
1457	0.729
1458	0.912
1459	1.036
1460	0.764
1461	1.141
1462	1.005
1463	1.201
1464	1.196
1465	1.145
1466	1.3
1467	1.111
1468	0.618
1469	0.817
1470	0.753
1471	0.74
1472	0.725
1473	0.644
1474	0.451
1475	0.692
1476	0.673
1477	0.68
1478	0.637
1479	0.705
1480	0.916
1481	1.009
1482	0.921
1483	0.958
1484	0.957
1485	0.885
1486	0.903
1487	0.763
1488	0.696
1489	0.996
1490	1.054
1491	0.971
1492	1.055
1493	0.856
1494	0.641
1495	0.998
1496	0.954
1497	1.067
1498	0.937
1499	0.967
1500	1.153
1501	1.293
1502	1.2
1503	1.104
1504	1.011
1505	1.208
1506	1.141
1507	1.073
1508	1.1
1509	0.94
1510	0.881
1511	0.855
1512	0.606
1513	0.887
1514	0.721
1515	0.757
1516	0.973
1517	0.978
1518	0.965
1519	0.895
1520	0.87
1521	0.834
1522	0.948
1523	0.92
1524	0.926
1525	0.838
1526	0.891
1527	0.873
1528	0.912
1529	0.833
1530	0.82
1531	0.814
1532	1.075
1533	1.129
1534	1.143
1535	1.09
1536	1.257
1537	1.306
1538	0.994
1539	0.808
1540	0.863
1541	0.662
1542	0.731
1543	0.663
1544	0.703
1545	0.834
1546	0.963
1547	1.198
1548	1.261
1549	1.462
1550	1.415
1551	1.471
1552	0.733
1553	0.978
1554	1.136
1555	1.055
1556	0.932
1557	0.993
1558	0.939
1559	1.358
1560	1.057
1561	1.199
1562	1.093
1563	1.053
1564	1.067
1565	1.185
1566	0.721
1567	0.83
1568	0.885
1569	0.867
1570	0.941
1571	1.142
1572	1.053
1573	1.167
1574	1.134
1575	1.035
1576	0.831
1577	0.943
1578	1.008
1579	0.673
1580	0.822
1581	0.758
1582	0.697
1583	0.99
1584	0.996
1585	0.933
1586	1.109
1587	1.324
1588	1.376
1589	1.218
1590	1.246
1591	1.086
1592	0.901
1593	1.128
1594	0.851
1595	0.972
1596	0.954
1597	0.786
1598	0.623
1599	0.846
1600	0.852
1601	0.992
1602	0.512
1603	0.749
1604	1.028
1605	1.161
1606	1.208
1607	1.121
1608	1.182
1609	1.131
1610	1.128
1611	0.752
1612	0.811
1613	0.897
1614	0.8
1615	0.943
1616	0.829
1617	1.059
1618	0.954
1619	1.215
1620	1.205
1621	1.195
1622	0.732
1623	1.036
1624	1.122
1625	0.794
1626	0.967
1627	1.309
1628	1.208
1629	1.342
1630	1.378
1631	1.435
1632	1.322
1633	1.021
1634	0.98
1635	0.986
1636	1.181
1637	0.819
1638	0.885
1639	0.867
1640	0.859
1641	1.078
1642	1.041
1643	0.92
1644	0.898
1645	1.002
1646	1.006
1647	1.181
1648	1.167
1649	1.135
1650	1.152
1651	1.018
1652	0.494
1653	0.657
1654	0.65
1655	0.802
1656	0.935
1657	0.632
1658	0.783
1659	0.797
1660	0.713
1661	0.864
1662	0.767
1663	0.917
1664	0.942
1665	0.898
1666	0.824
1667	1.007
1668	1.219
1669	1.367
1670	1.045
1671	1.26
1672	1.304
1673	0.878
1674	0.957
1675	0.976
1676	1.03
1677	1
1678	0.73
1679	1.087
1680	1.069
1681	1.139
1682	0.873
1683	1.041
1684	1.003
1685	1.109
1686	0.883
1687	0.786
1688	0.953
1689	1.138
1690	1.01
1691	0.855
1692	0.991
1693	1.114
1694	0.989
1695	1.01
1696	0.882
1697	0.959
1698	0.979
1699	0.948
1700	1.09
1701	1.116
1702	0.948
1703	1.256
1704	1.013
1705	0.748
1706	1.032
1707	1.138
1708	0.892
1709	0.96
1710	0.879
1711	1.085
1712	1.11
1713	0.903
1714	0.991
1715	1.036
1716	1.104
1717	0.922
1718	0.941
1719	0.783
1720	0.86
1721	0.895
1722	0.827
1723	0.867
1724	0.757
1725	0.942
1726	0.963
1727	1.135
1728	1.45
1729	1.108
1730	1.367
1731	0.689
1732	0.767
1733	0.92
1734	0.836
1735	0.832
1736	1.035
1737	1.02
1738	1.011
1739	1.067
1740	0.951
1741	0.504
1742	0.691
1743	0.785
1744	0.725
1745	0.803
1746	0.622
1747	0.704
1748	0.878
1749	0.976
1750	0.968
1751	1.024
1752	0.483
1753	0.679
1754	0.921
1755	0.955
1756	0.759
1757	0.883
1758	0.887
1759	0.944
1760	1.054
1761	1.169
1762	0.972
1763	1.126
1764	1.086
1765	0.966
1766	1.126
1767	0.743
1768	0.719
1769	1.024
1770	0.778
1771	0.888
1772	1.121
1773	1.156
1774	1.153
1775	1.209
1776	0.912
1777	1.335
1778	1.251
1779	1.429
1780	1.219
1781	1.064
1782	0.919
1783	0.902
1784	0.931
1785	0.9
1786	0.985
1787	0.934
1788	0.88
1789	1.075
1790	1.096
1791	0.986
1792	0.89
1793	1.058
1794	1.1
1795	1.074
1796	1.114
1797	1.354
1798	1.076
1799	1.27
1800	1.314
1801	1.588
1802	1.364
1803	1.181
1804	1.121
1805	1.406
1806	1.296
1807	1.208
1808	0.937
1809	0.899
1810	0.894
1811	0.912
1812	0.917
1813	0.868
1814	1.039
1815	1.13
1816	1.032
1817	1.02
1818	1.255
1819	1.117
1820	1.115
1821	1.197
1822	1.094
1823	1.134
1824	1.167
1825	1.438
1826	1.068
1827	1.316
1828	1.262
1829	1.228
1830	0.898
1831	1.073
1832	0.984
1833	0.713
1834	0.735
1835	0.991
1836	0.976
1837	1.036
1838	1.117
1839	1.136
1840	0.836
1841	1.24
1842	1.138
1843	1.041
1844	0.897
1845	1.078
1846	0.751
1847	0.576
1848	0.815
1849	0.727
1850	0.751
1851	0.823
1852	0.932
1853	0.846
1854	0.731
1855	0.838
1856	0.953
1857	1.015
1858	0.914
1859	0.969
1860	0.862
1861	1.224
1862	1.168
1863	1.354
1864	1.321
1865	0.818
1866	1.074
1867	0.975
1868	1.102
1869	1.097
1870	1.028
1871	1.05
1872	0.579
1873	0.752
1874	0.828
1875	0.92
1876	1.036
1877	0.97
1878	0.871
1879	1.023
1880	1.003
1881	1.131
1882	0.966
1883	0.82
1884	0.743
1885	0.936
1886	0.705
1887	0.871
1888	0.803
1889	0.933
1890	1.118
1891	1.215
1892	1.156
1893	1.124
1894	1.122
1895	1.092
1896	1.313
1897	1.177
1898	1.421
1899	1.405
1900	1.511
1901	1.526
1902	1.201
1903	1.188
1904	0.897
1905	0.992
1906	0.96
1907	0.502
1908	0.796
1909	0.979
1910	0.714
1911	0.835
1912	0.651
1913	0.819
1914	0.786
1915	0.906
1916	0.601
1917	0.881
1918	0.758
1919	0.894
1920	0.88
1921	1.105
1922	1.069
1923	1.066
1924	0.714
1925	0.733
1926	0.978
1927	0.971
1928	1.059
1929	1.115
1930	0.981
1931	1.081
1932	1.217
1933	1.141
1934	0.972
1935	0.571
1936	0.741
1937	0.787
1938	0.573
1939	0.452
1940	0.569
1941	0.764
1942	0.892
1943	0.953
1944	0.992
1945	0.897
1946	0.914
1947	0.831
1948	0.821
1949	0.801
1950	0.813
1951	0.84
1952	0.809
1953	0.78
1954	0.678
1955	0.737
1956	0.758
1957	0.863
1958	0.991
1959	0.998
1960	1.129
1961	0.96
1962	1.077
1963	1.293
1964	1.436
1965	1.317
1966	1.097
1967	1.021
1968	0.778
1969	0.896
1970	0.869
1971	0.921
1972	0.816
1973	0.824
1974	0.989
1975	1.091
1976	1.198
1977	0.949
1978	0.719
1979	0.848
1980	0.882
1981	0.687
1982	0.763
1983	1.037
1984	0.991
1985	1.033
1986	0.961
1987	1.191
1988	0.921
1989	1.201
1990	0.871
1991	0.983