ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_or048 - Pringle Falls RNA - 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:
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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/4782
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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_or048 - Pringle Falls RNA - 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: Pringle Falls RNA
#	Location:
#	Country: United States
#	Northernmost_Latitude: 43.7
#	Southernmost_Latitude: 43.7
#	Easternmost_Longitude: -121.62
#	Westernmost_Longitude: -121.62
#	Elevation: 1460 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_or048B
#	Earliest_Year: 1476
#	Most_Recent_Year: 1993
#	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":"3.59511495965","T2":"14.5428043736","M1":"0.0236241976826","M2":"0.54624397297"}}
#--------------------
# 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
1476	0.933
1477	1.024
1478	1.024
1479	0.929
1480	0.888
1481	0.549
1482	0.258
1483	0.375
1484	0.404
1485	0.529
1486	0.555
1487	0.837
1488	0.754
1489	0.836
1490	0.948
1491	1.022
1492	1.092
1493	1.249
1494	1.23
1495	0.931
1496	1.12
1497	1.11
1498	1.059
1499	1.206
1500	1.012
1501	1.266
1502	1.374
1503	1.199
1504	1.378
1505	1.138
1506	1.154
1507	1.264
1508	1.032
1509	1.265
1510	1.11
1511	1.143
1512	1.052
1513	0.828
1514	0.888
1515	0.844
1516	0.719
1517	0.84
1518	0.774
1519	0.999
1520	0.831
1521	0.778
1522	1.006
1523	0.98
1524	1.251
1525	1.516
1526	0.986
1527	1.011
1528	1.139
1529	0.825
1530	1.061
1531	1.116
1532	1.053
1533	1.188
1534	1.221
1535	1.069
1536	1.232
1537	1.004
1538	0.753
1539	0.8
1540	0.731
1541	0.89
1542	0.742
1543	0.935
1544	1.131
1545	1.009
1546	0.972
1547	1.299
1548	1.123
1549	1.237
1550	1.059
1551	1.062
1552	1.036
1553	1.21
1554	0.839
1555	1.175
1556	0.942
1557	1.269
1558	1.154
1559	1.348
1560	1.448
1561	1.381
1562	1.273
1563	0.833
1564	0.589
1565	0.514
1566	0.595
1567	0.757
1568	0.757
1569	0.839
1570	0.866
1571	0.743
1572	0.587
1573	0.606
1574	0.692
1575	0.908
1576	0.856
1577	0.892
1578	0.971
1579	1.135
1580	1.418
1581	0.986
1582	1.08
1583	1.222
1584	0.987
1585	1.207
1586	1.158
1587	1.338
1588	1.409
1589	1.37
1590	1.276
1591	0.951
1592	1.07
1593	1.148
1594	0.873
1595	0.907
1596	1.058
1597	0.924
1598	1.048
1599	1.127
1600	1.094
1601	1.103
1602	1.058
1603	0.992
1604	1.1
1605	1.008
1606	0.652
1607	0.662
1608	0.77
1609	0.782
1610	0.879
1611	0.975
1612	0.852
1613	0.851
1614	0.749
1615	0.555
1616	0.545
1617	0.613
1618	0.771
1619	0.647
1620	0.574
1621	0.624
1622	0.71
1623	0.658
1624	0.775
1625	0.871
1626	0.946
1627	0.954
1628	0.845
1629	0.98
1630	0.891
1631	0.459
1632	0.213
1633	0.204
1634	0.342
1635	0.456
1636	0.653
1637	0.696
1638	0.924
1639	1.025
1640	1.112
1641	1.351
1642	1.437
1643	1.29
1644	1.531
1645	1.581
1646	1.531
1647	1.495
1648	1.341
1649	1.234
1650	1.379
1651	1.303
1652	1.078
1653	1.207
1654	1.345
1655	1.188
1656	1.397
1657	1.412
1658	1.399
1659	1.158
1660	1.144
1661	0.627
1662	0.365
1663	0.339
1664	0.432
1665	0.574
1666	0.803
1667	0.927
1668	0.849
1669	1.158
1670	1.442
1671	1.432
1672	1.355
1673	1.395
1674	1.47
1675	1.349
1676	1.028
1677	0.5
1678	0.161
1679	0.23
1680	0.359
1681	0.407
1682	0.563
1683	0.534
1684	0.584
1685	0.683
1686	0.912
1687	1.054
1688	1.063
1689	1.191
1690	1.333
1691	1.275
1692	1.434
1693	1.236
1694	1.402
1695	1.316
1696	1.27
1697	1.348
1698	1.359
1699	1.516
1700	1.467
1701	1.253
1702	1.324
1703	1.095
1704	0.848
1705	0.745
1706	0.803
1707	0.896
1708	0.785
1709	0.836
1710	0.917
1711	1.023
1712	1.056
1713	1.109
1714	1.125
1715	1.15
1716	1.322
1717	0.999
1718	1.074
1719	1.152
1720	1.169
1721	1.094
1722	1.22
1723	1.235
1724	1.105
1725	1.268
1726	1.316
1727	1.176
1728	0.864
1729	0.746
1730	0.916
1731	0.932
1732	1.012
1733	1.131
1734	0.96
1735	0.937
1736	0.848
1737	0.886
1738	0.914
1739	0.865
1740	0.83
1741	0.828
1742	0.919
1743	0.942
1744	0.918
1745	0.892
1746	0.805
1747	0.876
1748	0.887
1749	0.645
1750	0.875
1751	0.837
1752	0.858
1753	0.852
1754	0.734
1755	0.827
1756	0.768
1757	0.718
1758	0.94
1759	1.015
1760	1.05
1761	1.171
1762	1.191
1763	1
1764	0.957
1765	1.248
1766	1.165
1767	1.099
1768	1.076
1769	1.022
1770	1.26
1771	1.144
1772	1.321
1773	1.444
1774	1.281
1775	0.986
1776	0.678
1777	0.437
1778	0.537
1779	0.698
1780	0.832
1781	0.768
1782	0.873
1783	0.873
1784	1.049
1785	1.036
1786	1.052
1787	1.011
1788	1.26
1789	1.29
1790	1.122
1791	1.568
1792	1.307
1793	1.326
1794	1.344
1795	1.213
1796	1.2
1797	1.128
1798	1.206
1799	1.439
1800	1.225
1801	1.125
1802	0.77
1803	0.453
1804	0.256
1805	0.384
1806	0.555
1807	0.628
1808	0.622
1809	0.819
1810	0.784
1811	0.884
1812	1.248
1813	1.178
1814	1.373
1815	1.263
1816	1.314
1817	1.184
1818	1.338
1819	1.245
1820	1.216
1821	1.16
1822	1.198
1823	1.186
1824	1.086
1825	1.134
1826	1.156
1827	1.003
1828	1.023
1829	0.947
1830	0.976
1831	0.954
1832	1.045
1833	1.038
1834	0.974
1835	0.971
1836	1.12
1837	1.053
1838	0.935
1839	0.789
1840	0.458
1841	0.255
1842	0.269
1843	0.334
1844	0.288
1845	0.382
1846	0.33
1847	0.333
1848	0.354
1849	0.271
1850	0.436
1851	0.422
1852	0.528
1853	0.445
1854	0.598
1855	0.622
1856	0.536
1857	0.698
1858	0.75
1859	0.816
1860	1.054
1861	1.201
1862	1.068
1863	1.128
1864	1.04
1865	0.837
1866	1.053
1867	1.179
1868	1.042
1869	1.154
1870	1.368
1871	1.314
1872	1.199
1873	1.324
1874	1.491
1875	1.441
1876	1.292
1877	1.462
1878	1.553
1879	1.611
1880	1.309
1881	1.385
1882	1.251
1883	1.285
1884	1.235
1885	1.165
1886	1.108
1887	1.129
1888	1.169
1889	0.959
1890	0.652
1891	0.587
1892	0.482
1893	0.432
1894	0.557
1895	0.667
1896	0.756
1897	0.683
1898	0.597
1899	0.56
1900	0.744
1901	0.82
1902	0.876
1903	1.05
1904	1.183
1905	1.149
1906	1.251
1907	1.41
1908	1.44
1909	1.556
1910	1.311
1911	1.295
1912	1.19
1913	1.361
1914	1.206
1915	1.349
1916	1.226
1917	1.361
1918	1.249
1919	1.322
1920	1.079
1921	1.113
1922	1.057
1923	0.833
1924	0.609
1925	0.488
1926	0.489
1927	0.547
1928	0.648
1929	0.694
1930	0.586
1931	0.806
1932	1.028
1933	1.026
1934	0.992
1935	0.985
1936	0.865
1937	0.925
1938	1.074
1939	1.049
1940	1.031
1941	1.085
1942	1.456
1943	1.321
1944	1.417
1945	1.341
1946	1.554
1947	1.533
1948	1.287
1949	1.129
1950	1.087
1951	1.239
1952	1.174
1953	0.959
1954	1.184
1955	1.294
1956	1.195
1957	1.404
1958	1.281
1959	1.188
1960	1.227
1961	1.077
1962	1.183
1963	1.224
1964	1.036
1965	0.986
1966	1.048
1967	0.816
1968	0.715
1969	0.862
1970	0.763
1971	0.784
1972	0.828
1973	0.815
1974	0.741
1975	0.945
1976	1.043
1977	0.667
1978	0.815
1979	0.866
1980	0.884
1981	0.829
1982	0.952
1983	0.961
1984	1.003
1985	0.904
1986	0.978
1987	0.718
1988	1.057
1989	0.803
1990	1.029
1991	0.734
1992	0.668
1993	0.551