ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_co594 - Cochetopa Dome - 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/5290
#
# 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_co594 - Cochetopa Dome - 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: Cochetopa Dome
#	Location:
#	Country: United States
#	Northernmost_Latitude: 38.25
#	Southernmost_Latitude: 38.25
#	Easternmost_Longitude: -106.67
#	Westernmost_Longitude: -106.67
#	Elevation: 2835 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_co594B
#	Earliest_Year: 1437
#	Most_Recent_Year: 2002
#	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":"1.96655615679","T2":"12.1322277011","M1":"0.024049912685","M2":"0.592090220169"}}
#--------------------
# 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
1437	0.611
1438	0.585
1439	0.616
1440	0.929
1441	1.174
1442	0.639
1443	1.126
1444	0.64
1445	0.872
1446	1.219
1447	1.148
1448	0.983
1449	0.871
1450	0.914
1451	0.611
1452	1.167
1453	1.199
1454	0.774
1455	0.478
1456	0.201
1457	0.183
1458	0.362
1459	0.37
1460	0.222
1461	0.295
1462	0.384
1463	0.318
1464	0.51
1465	0.569
1466	0.897
1467	1.279
1468	1.134
1469	1.101
1470	1.327
1471	1.173
1472	0.775
1473	0.718
1474	1.101
1475	0.505
1476	1.041
1477	1.074
1478	1.176
1479	1.312
1480	0.363
1481	1.066
1482	1.109
1483	0.834
1484	1.529
1485	1.694
1486	1.862
1487	1.631
1488	1.878
1489	1.442
1490	1.929
1491	1.842
1492	2.066
1493	1.443
1494	1.665
1495	0.418
1496	0.539
1497	0.986
1498	1.55
1499	1.107
1500	0.197
1501	0.301
1502	0.349
1503	0.869
1504	1.179
1505	0.863
1506	0.061
1507	0.268
1508	0.276
1509	0.441
1510	0.548
1511	0.615
1512	1.082
1513	1.294
1514	1.522
1515	1.715
1516	0.948
1517	1.073
1518	1.371
1519	1.343
1520	1.36
1521	1.771
1522	0.491
1523	1.345
1524	1.632
1525	0.957
1526	1.051
1527	1.28
1528	0.682
1529	1.365
1530	1.642
1531	1.544
1532	1.113
1533	1.303
1534	1.481
1535	1.512
1536	1.506
1537	1.59
1538	0.622
1539	0.887
1540	1.243
1541	1.037
1542	0.668
1543	1.374
1544	1.337
1545	0.81
1546	1.038
1547	0.849
1548	0.692
1549	0.717
1550	0.911
1551	0.225
1552	0.125
1553	0.985
1554	1.018
1555	1.658
1556	1.968
1557	1.977
1558	1.642
1559	1.037
1560	1.196
1561	0.591
1562	0.753
1563	0.832
1564	1.177
1565	1.256
1566	1.183
1567	0.553
1568	0.959
1569	1.438
1570	1.481
1571	1.284
1572	1.731
1573	1.157
1574	0.647
1575	1.044
1576	0.451
1577	1.267
1578	0.89
1579	0.656
1580	0.757
1581	0.341
1582	0.556
1583	0.216
1584	0.049
1585	0.145
1586	0.553
1587	0.495
1588	0.957
1589	1.041
1590	0.213
1591	0.483
1592	0.392
1593	0.17
1594	0.82
1595	0.765
1596	1.278
1597	0.735
1598	0.1
1599	0.848
1600	0.746
1601	1.043
1602	0.907
1603	1.479
1604	1.612
1605	1.796
1606	1.668
1607	0.899
1608	1.691
1609	0.702
1610	1.396
1611	1.4
1612	0.813
1613	0.885
1614	1.061
1615	0.953
1616	0.741
1617	1.119
1618	1.783
1619	1.69
1620	1.659
1621	1.334
1622	0.628
1623	0.639
1624	0.345
1625	0.487
1626	0.746
1627	1.04
1628	0.545
1629	0.753
1630	1.307
1631	1.144
1632	0.883
1633	0.916
1634	0.791
1635	1.107
1636	1.218
1637	1.546
1638	0.515
1639	1.152
1640	1.385
1641	1.239
1642	1.299
1643	0.899
1644	1.046
1645	0.253
1646	0.908
1647	1.62
1648	1.939
1649	1.238
1650	1.225
1651	1.326
1652	0.631
1653	0.081
1654	0.238
1655	1.032
1656	0.779
1657	0.761
1658	0.313
1659	0.629
1660	0.761
1661	1.598
1662	1.604
1663	1.485
1664	0.395
1665	0.855
1666	0.89
1667	1.116
1668	0.469
1669	0.559
1670	1.269
1671	0.763
1672	1.272
1673	1.33
1674	1.378
1675	1.283
1676	0.786
1677	1.204
1678	1.605
1679	1.417
1680	1.491
1681	0.767
1682	0.12
1683	1.108
1684	0.274
1685	-0.029
1686	0.363
1687	0.468
1688	0.499
1689	1.183
1690	0.893
1691	0.439
1692	0.817
1693	1.435
1694	1.188
1695	0.338
1696	0.272
1697	0.809
1698	1.285
1699	1.579
1700	0.463
1701	1.511
1702	1.324
1703	1.162
1704	0.632
1705	1.702
1706	1.228
1707	0.838
1708	0.832
1709	0.885
1710	1.324
1711	1.183
1712	1.471
1713	1.557
1714	0.856
1715	0.659
1716	0.898
1717	1.263
1718	1.364
1719	0.963
1720	1.68
1721	1.569
1722	0.812
1723	0.575
1724	0.967
1725	1.671
1726	1.283
1727	1.455
1728	1.188
1729	-0.03
1730	0.938
1731	1.197
1732	1.019
1733	1.202
1734	1.259
1735	0.62
1736	1.147
1737	0.139
1738	0.975
1739	1.371
1740	0.82
1741	1.31
1742	1.023
1743	1.336
1744	1.438
1745	1.297
1746	1.099
1747	1.511
1748	0.061
1749	1.258
1750	0.365
1751	0.268
1752	0.744
1753	0.989
1754	1.346
1755	0.982
1756	0.605
1757	0.756
1758	1.288
1759	0.827
1760	1.076
1761	1.407
1762	1.452
1763	1.143
1764	1.013
1765	0.837
1766	1.223
1767	0.999
1768	1.282
1769	1.021
1770	1.111
1771	0.883
1772	0.741
1773	-0.029
1774	0.378
1775	0.271
1776	0.289
1777	-0.029
1778	0.133
1779	0.41
1780	0.326
1781	0.437
1782	0.401
1783	0.619
1784	0.883
1785	0.832
1786	0.588
1787	1.014
1788	0.293
1789	0.934
1790	1.246
1791	0.702
1792	0.881
1793	0.975
1794	0.599
1795	0.167
1796	0.75
1797	0.58
1798	0.183
1799	0.886
1800	0.833
1801	1.093
1802	1.139
1803	0.993
1804	1.16
1805	1.145
1806	0.485
1807	0.974
1808	0.767
1809	0.865
1810	0.836
1811	1.034
1812	0.777
1813	1.042
1814	0.867
1815	0.828
1816	1.144
1817	1.177
1818	1.074
1819	1.364
1820	1.264
1821	1.21
1822	0.924
1823	1.232
1824	0.175
1825	0.753
1826	0.405
1827	0.265
1828	1.226
1829	1.159
1830	1.133
1831	1.26
1832	1.194
1833	0.455
1834	0.363
1835	0.807
1836	0.842
1837	1.13
1838	1.183
1839	1.266
1840	1.159
1841	0.537
1842	0.319
1843	0.942
1844	0.444
1845	0.088
1846	0.457
1847	-0.03
1848	0.664
1849	0.777
1850	0.913
1851	0.456
1852	0.892
1853	1.183
1854	1.174
1855	0.856
1856	1.054
1857	1.029
1858	1.391
1859	1.28
1860	1.231
1861	0.345
1862	1.387
1863	1.308
1864	1.416
1865	1.481
1866	1.727
1867	1.781
1868	1.496
1869	1.392
1870	1.137
1871	0.324
1872	0.972
1873	1.109
1874	0.472
1875	0.998
1876	0.704
1877	1.112
1878	1.333
1879	0.564
1880	-0.03
1881	0.478
1882	0.49
1883	0.024
1884	0.884
1885	1.379
1886	1.531
1887	1.363
1888	1.349
1889	0.446
1890	0.521
1891	1.273
1892	1.276
1893	1.059
1894	1.322
1895	1.277
1896	1.033
1897	0.868
1898	0.817
1899	0.764
1900	1.425
1901	0.825
1902	0.455
1903	1.266
1904	0.278
1905	0.868
1906	0.952
1907	1.059
1908	0.522
1909	1.153
1910	1.388
1911	1.549
1912	1.778
1913	1.522
1914	2.13
1915	1.645
1916	2.127
1917	1.383
1918	1.98
1919	1.804
1920	1.529
1921	2.199
1922	0.365
1923	1.231
1924	1.51
1925	0.923
1926	0.694
1927	0.957
1928	1.263
1929	1.078
1930	1.232
1931	1.001
1932	1.22
1933	0.982
1934	0.082
1935	0.399
1936	0.788
1937	1.007
1938	1.155
1939	1.337
1940	0.726
1941	1.51
1942	1.48
1943	1.494
1944	1.295
1945	1.232
1946	0.443
1947	1.257
1948	1.165
1949	1.723
1950	0.43
1951	0.737
1952	1.089
1953	1.027
1954	0.17
1955	-0.029
1956	0.942
1957	1.204
1958	1.135
1959	0.617
1960	1.137
1961	0.156
1962	0.839
1963	0.303
1964	1.017
1965	1.33
1966	1.37
1967	0.391
1968	0.866
1969	1.172
1970	1.266
1971	1.252
1972	1.235
1973	1.083
1974	1.189
1975	1.129
1976	0.974
1977	0.765
1978	0.986
1979	0.891
1980	0.87
1981	0.253
1982	0.661
1983	0.982
1984	1.223
1985	1.099
1986	1.381
1987	1.091
1988	1.246
1989	0.464
1990	0.848
1991	0.849
1992	0.901
1993	1.145
1994	0.674
1995	1.218
1996	0.707
1997	1.136
1998	1.206
1999	1.354
2000	1.052
2001	1.252
2002	-0.012