ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ut020 - Kane Spring - 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/3083
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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_ut020 - Kane Spring - 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: Kane Spring
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.53
#	Southernmost_Latitude: 37.53
#	Easternmost_Longitude: -109.9
#	Westernmost_Longitude: -109.9
#	Elevation: 1966 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut020B
#	Earliest_Year: 1445
#	Most_Recent_Year: 1971
#	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":"3.73789171959","T2":"16.5329507257","M1":"0.0225005432562","M2":"0.402810912146"}}
#--------------------
# Species
#	Species_Name: pinyon pine
#	Species_Code: PIED
#--------------------
# 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
1445	0.615
1446	0.827
1447	0.954
1448	0.976
1449	0.658
1450	0.51
1451	1.402
1452	1.53
1453	1.254
1454	0.861
1455	0.72
1456	0.898
1457	0.934
1458	1.187
1459	1.526
1460	1.059
1461	1.059
1462	1.57
1463	1.063
1464	0.614
1465	0.8
1466	1.026
1467	1.381
1468	1.178
1469	0.954
1470	0.933
1471	0.572
1472	0.611
1473	0.8
1474	1.309
1475	1.206
1476	1.315
1477	1.499
1478	1.256
1479	0.967
1480	0.697
1481	0.633
1482	1.632
1483	1.375
1484	1.403
1485	1.263
1486	1.266
1487	0.61
1488	1.161
1489	1.181
1490	1.539
1491	1.893
1492	1.155
1493	1.203
1494	1.134
1495	0.553
1496	0.817
1497	1.083
1498	1.433
1499	0.863
1500	0.299
1501	0.786
1502	1.042
1503	1.043
1504	1.084
1505	0.758
1506	0.643
1507	0.844
1508	1.159
1509	1.591
1510	0.918
1511	1.226
1512	1.086
1513	1.323
1514	1.318
1515	1.044
1516	0.916
1517	1.077
1518	0.944
1519	1.176
1520	1.066
1521	0.914
1522	0.372
1523	0.884
1524	0.995
1525	0.882
1526	0.951
1527	0.777
1528	0.761
1529	0.582
1530	0.764
1531	0.919
1532	0.164
1533	0.464
1534	0.938
1535	0.909
1536	1.199
1537	1.209
1538	0.628
1539	0.738
1540	1.107
1541	0.899
1542	0.532
1543	0.841
1544	0.722
1545	0.533
1546	0.98
1547	0.642
1548	0.842
1549	1.129
1550	1.265
1551	1.434
1552	1.126
1553	1.013
1554	0.651
1555	0.977
1556	1.11
1557	1.237
1558	1.067
1559	1.082
1560	1.289
1561	0.78
1562	1.035
1563	0.896
1564	1.223
1565	1.292
1566	1.167
1567	0.762
1568	1.031
1569	0.944
1570	0.907
1571	0.807
1572	0.677
1573	0.751
1574	0.789
1575	0.864
1576	0.729
1577	1.099
1578	1.22
1579	1.013
1580	0.722
1581	1.044
1582	0.801
1583	0.418
1584	0.634
1585	0.429
1586	1.061
1587	1.062
1588	1.118
1589	0.862
1590	0.31
1591	1.024
1592	0.731
1593	0.792
1594	1.523
1595	1.331
1596	1.449
1597	0.73
1598	0.73
1599	1.149
1600	0.372
1601	0.909
1602	1.359
1603	1.104
1604	1.422
1605	1.416
1606	1.301
1607	0.638
1608	1.026
1609	1.054
1610	1.286
1611	1.076
1612	0.75
1613	0.864
1614	0.66
1615	1.172
1616	1.228
1617	1.372
1618	1.364
1619	1.039
1620	1.202
1621	1.486
1622	0.986
1623	0.641
1624	0.414
1625	0.702
1626	0.152
1627	0.276
1628	0.667
1629	0.921
1630	0.835
1631	0.667
1632	0.455
1633	0.92
1634	1.032
1635	1.229
1636	0.969
1637	0.643
1638	0.725
1639	0.891
1640	1.224
1641	1.07
1642	0.997
1643	1.029
1644	1.25
1645	1.162
1646	1.103
1647	1.35
1648	0.586
1649	1.245
1650	1.578
1651	1.191
1652	1.182
1653	1.373
1654	0.256
1655	1.063
1656	1.368
1657	1.214
1658	0.891
1659	1.129
1660	1.411
1661	1.146
1662	1.104
1663	0.482
1664	0.636
1665	0.655
1666	0.777
1667	0.61
1668	0.902
1669	1.08
1670	0.239
1671	1.07
1672	1.367
1673	1.162
1674	1.615
1675	1.337
1676	0.86
1677	1.302
1678	1.502
1679	1.27
1680	1.627
1681	1.442
1682	1.51
1683	1.741
1684	0.947
1685	-0.02
1686	0.551
1687	1.596
1688	1.34
1689	1.409
1690	1.443
1691	1.312
1692	1.678
1693	1.501
1694	1.299
1695	1.469
1696	0.934
1697	0.965
1698	0.537
1699	0.996
1700	0.879
1701	1.378
1702	1.009
1703	0.664
1704	0.842
1705	1.08
1706	1.343
1707	0.972
1708	1.025
1709	1.182
1710	1.119
1711	1.052
1712	0.913
1713	1.329
1714	1.074
1715	1.407
1716	1.207
1717	1.065
1718	1.463
1719	1.565
1720	1.58
1721	1.067
1722	0.408
1723	1.103
1724	0.592
1725	1.284
1726	1.199
1727	1.257
1728	0.382
1729	0.22
1730	0.747
1731	0.864
1732	1.065
1733	0.485
1734	0.862
1735	0.202
1736	0.873
1737	0.801
1738	0.992
1739	0.869
1740	0.475
1741	0.903
1742	0.957
1743	1.173
1744	0.797
1745	1.055
1746	1.125
1747	1.16
1748	0.441
1749	1.172
1750	0.913
1751	0.917
1752	0.521
1753	0.922
1754	0.842
1755	0.593
1756	0.724
1757	0.356
1758	0.858
1759	0.882
1760	1.066
1761	0.984
1762	1.067
1763	0.85
1764	1.047
1765	0.772
1766	1.232
1767	1.03
1768	1.327
1769	1.193
1770	0.801
1771	1.32
1772	0.902
1773	0.203
1774	0.697
1775	0.937
1776	0.866
1777	0.591
1778	0.611
1779	0.937
1780	0.648
1781	0.939
1782	0.792
1783	0.978
1784	1.305
1785	0.721
1786	1.044
1787	1.3
1788	0.652
1789	0.976
1790	0.472
1791	1.134
1792	0.948
1793	1.067
1794	0.82
1795	1.162
1796	1.014
1797	0.687
1798	1.085
1799	1.102
1800	0.873
1801	0.4
1802	1.095
1803	0.498
1804	0.909
1805	0.544
1806	0.41
1807	1.343
1808	1.05
1809	1.321
1810	0.834
1811	1.245
1812	1.1
1813	-0.024
1814	0.892
1815	0.926
1816	1.134
1817	0.991
1818	0.387
1819	0.596
1820	0.377
1821	0.613
1822	0.463
1823	0.509
1824	0.852
1825	1.224
1826	1.304
1827	0.773
1828	1.562
1829	0.788
1830	1.097
1831	0.786
1832	1.138
1833	1.446
1834	1.043
1835	1.567
1836	1.241
1837	1.519
1838	1.228
1839	1.392
1840	1.513
1841	1.549
1842	1.294
1843	1.24
1844	1.232
1845	0.41
1846	1.245
1847	0.073
1848	0.81
1849	1.571
1850	1.282
1851	0.548
1852	1.504
1853	1.101
1854	1.122
1855	1.294
1856	1.566
1857	1.217
1858	1.007
1859	0.644
1860	0.874
1861	-0.023
1862	1.439
1863	1.268
1864	0.434
1865	1.238
1866	1.518
1867	1.174
1868	1.433
1869	1.262
1870	1.06
1871	0.401
1872	0.456
1873	0.497
1874	0.837
1875	0.916
1876	0.876
1877	1.181
1878	0.981
1879	0.99
1880	0.983
1881	0.617
1882	0.644
1883	0.548
1884	1.058
1885	1.165
1886	0.961
1887	0.571
1888	0.908
1889	1.222
1890	1.411
1891	1.254
1892	1.333
1893	0.958
1894	0.568
1895	1.096
1896	-0.023
1897	1.343
1898	1.278
1899	0.436
1900	0.365
1901	0.987
1902	0.325
1903	0.999
1904	0.447
1905	1.283
1906	1.397
1907	1.655
1908	1.315
1909	1.492
1910	1.487
1911	1.674
1912	1.491
1913	1.684
1914	1.674
1915	1.604
1916	1.886
1917	1.546
1918	1.075
1919	1.568
1920	1.508
1921	0.899
1922	1.308
1923	0.872
1924	0.849
1925	0.816
1926	1.094
1927	1.227
1928	0.877
1929	1.131
1930	0.818
1931	0.77
1932	1.116
1933	0.946
1934	0.529
1935	1.042
1936	0.699
1937	0.908
1938	1.037
1939	0.953
1940	1.083
1941	1.176
1942	1.47
1943	1.498
1944	1.063
1945	1.127
1946	0.531
1947	0.73
1948	0.974
1949	1.181
1950	1.021
1951	0.16
1952	1.121
1953	0.883
1954	0.957
1955	0.663
1956	0.474
1957	0.844
1958	1.06
1959	0.165
1960	0.854
1961	0.777
1962	0.907
1963	0.772
1964	0.422
1965	0.84
1966	0.881
1967	0.675
1968	0.812
1969	0.981
1970	0.794
1971	0.717