ÃÂ¯ÃÂ»ÃÂ¿# northamerica_mexico_mexi035 - Rio Sabinas - 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/4935
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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_mexico_mexi035 - Rio Sabinas - 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: Rio Sabinas
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 23.15
#	Southernmost_Latitude: 23.15
#	Easternmost_Longitude: -99.15
#	Westernmost_Longitude: -99.15
#	Elevation: 317 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi035B
#	Earliest_Year: 1474
#	Most_Recent_Year: 1995
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"}}{"VSLite_parameters":{"T1":"5.00423303194","T2":"16.8803309734","M1":"0.0224565828925","M2":"0.327450492314"}}
#--------------------
# Species
#	Species_Name: Montezuma cypress
#	Species_Code: TAMU
#--------------------
# 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
1474	1
1475	0.951
1476	0.636
1477	0.732
1478	0.644
1479	0.673
1480	1.784
1481	1.168
1482	1.024
1483	1.384
1484	0.87
1485	0.962
1486	0.737
1487	0.727
1488	0.722
1489	0.736
1490	0.652
1491	0.944
1492	0.792
1493	0.785
1494	0.922
1495	0.841
1496	1.298
1497	1.317
1498	1.074
1499	1.224
1500	0.74
1501	0.515
1502	0.742
1503	0.608
1504	1.004
1505	1.268
1506	1.187
1507	1.287
1508	0.999
1509	0.849
1510	0.983
1511	1.046
1512	2.067
1513	1.606
1514	1.001
1515	1.127
1516	1.707
1517	1.214
1518	1.148
1519	0.953
1520	1.08
1521	0.959
1522	0.99
1523	0.759
1524	1.009
1525	1.343
1526	1.163
1527	1.216
1528	1.002
1529	0.824
1530	1.297
1531	1.034
1532	0.818
1533	1.112
1534	0.914
1535	0.875
1536	0.816
1537	0.821
1538	0.671
1539	0.625
1540	0.915
1541	0.829
1542	1.183
1543	1.044
1544	0.721
1545	0.932
1546	1.18
1547	1.08
1548	0.756
1549	0.735
1550	0.837
1551	0.42
1552	1.379
1553	1.285
1554	0.961
1555	0.668
1556	0.772
1557	0.648
1558	0.617
1559	0.883
1560	0.691
1561	0.818
1562	0.734
1563	0.715
1564	0.843
1565	0.601
1566	1.11
1567	1.036
1568	0.892
1569	0.758
1570	0.851
1571	0.838
1572	0.849
1573	0.467
1574	1.048
1575	1.036
1576	1.135
1577	0.848
1578	0.684
1579	0.895
1580	0.708
1581	0.819
1582	1.035
1583	1.436
1584	1.246
1585	1.076
1586	1.133
1587	1.016
1588	0.716
1589	0.949
1590	0.686
1591	0.856
1592	0.86
1593	1.142
1594	1.041
1595	1.004
1596	0.775
1597	0.309
1598	1.196
1599	1.629
1600	1.05
1601	0.781
1602	0.781
1603	0.57
1604	0.645
1605	0.89
1606	1.342
1607	0.876
1608	0.949
1609	0.648
1610	1.352
1611	1.236
1612	0.91
1613	0.943
1614	1.551
1615	0.893
1616	1.141
1617	0.638
1618	0.827
1619	1.217
1620	1.178
1621	1.207
1622	0.974
1623	0.645
1624	0.794
1625	1.238
1626	0.622
1627	0.51
1628	0.772
1629	0.996
1630	0.896
1631	0.858
1632	0.624
1633	0.761
1634	1.378
1635	1.285
1636	1.412
1637	0.856
1638	1.116
1639	0.719
1640	0.778
1641	0.596
1642	0.677
1643	1.072
1644	0.638
1645	0.856
1646	0.818
1647	1.035
1648	0.818
1649	0.755
1650	1.142
1651	1.358
1652	0.966
1653	0.824
1654	0.652
1655	0.77
1656	0.769
1657	0.756
1658	0.834
1659	1.044
1660	0.854
1661	0.9
1662	0.824
1663	0.66
1664	1.142
1665	0.802
1666	0.781
1667	1.176
1668	0.945
1669	0.82
1670	0.879
1671	1.15
1672	0.857
1673	0.936
1674	0.714
1675	0.727
1676	0.928
1677	1.061
1678	0.725
1679	0.833
1680	1.505
1681	1.684
1682	1.148
1683	0.84
1684	1.144
1685	0.953
1686	1.806
1687	1.846
1688	1.371
1689	0.793
1690	0.873
1691	1.075
1692	1.574
1693	0.807
1694	1.225
1695	1.103
1696	0.454
1697	0.867
1698	0.764
1699	0.945
1700	0.752
1701	0.572
1702	0.582
1703	1.145
1704	0.939
1705	0.768
1706	1.395
1707	1.057
1708	0.819
1709	0.735
1710	0.823
1711	0.704
1712	0.491
1713	0.614
1714	0.403
1715	0.794
1716	0.709
1717	0.755
1718	1.007
1719	0.75
1720	0.969
1721	0.775
1722	0.552
1723	0.659
1724	0.497
1725	0.859
1726	0.726
1727	0.417
1728	1.018
1729	0.688
1730	0.573
1731	0.704
1732	1.151
1733	0.564
1734	0.871
1735	0.638
1736	0.72
1737	0.806
1738	0.757
1739	0.435
1740	0.788
1741	0.231
1742	0.379
1743	0.904
1744	0.733
1745	0.572
1746	0.607
1747	0.458
1748	0.291
1749	0.515
1750	0.555
1751	0.564
1752	0.574
1753	1.057
1754	1.071
1755	1.293
1756	1.627
1757	1.521
1758	1.086
1759	2.563
1760	1.437
1761	1.101
1762	0.973
1763	1.055
1764	0.903
1765	1.452
1766	0.869
1767	1.047
1768	1.058
1769	0.953
1770	0.914
1771	0.984
1772	0.848
1773	1.179
1774	1.054
1775	0.719
1776	0.936
1777	0.776
1778	0.681
1779	0.675
1780	0.643
1781	0.678
1782	0.831
1783	0.97
1784	0.76
1785	0.61
1786	0.899
1787	1.391
1788	0.982
1789	0.536
1790	0.562
1791	1.621
1792	0.988
1793	0.971
1794	0.798
1795	0.777
1796	0.663
1797	0.642
1798	1.16
1799	1.05
1800	1.121
1801	0.409
1802	1.172
1803	1.084
1804	0.767
1805	0.843
1806	1.155
1807	0.593
1808	0.864
1809	1.741
1810	0.819
1811	0.821
1812	0.853
1813	0.868
1814	0.734
1815	0.606
1816	1.35
1817	0.504
1818	0.411
1819	0.62
1820	0.661
1821	0.996
1822	0.825
1823	0.454
1824	1.324
1825	1.006
1826	0.78
1827	0.577
1828	1.023
1829	1.599
1830	0.778
1831	1.37
1832	1.135
1833	1.172
1834	1.144
1835	1.126
1836	0.608
1837	0.796
1838	0.718
1839	0.854
1840	0.993
1841	0.622
1842	0.798
1843	1.088
1844	0.865
1845	0.97
1846	0.747
1847	0.974
1848	1.241
1849	1.054
1850	0.892
1851	1.522
1852	0.847
1853	1.567
1854	0.911
1855	1.09
1856	1.478
1857	0.857
1858	0.84
1859	0.55
1860	0.951
1861	1.372
1862	0.689
1863	1.006
1864	1.113
1865	1.017
1866	0.928
1867	1.13
1868	1.129
1869	1.373
1870	1.208
1871	0.892
1872	1.258
1873	1.765
1874	1.754
1875	1.077
1876	0.742
1877	1.203
1878	0.8
1879	1.37
1880	1.219
1881	1.133
1882	0.829
1883	0.95
1884	0.394
1885	0.91
1886	0.749
1887	0.986
1888	1.073
1889	0.95
1890	0.879
1891	0.965
1892	0.885
1893	0.944
1894	0.787
1895	1.1
1896	0.853
1897	1.055
1898	0.998
1899	0.143
1900	1.251
1901	1.385
1902	1.541
1903	1.257
1904	1.205
1905	1.458
1906	1.275
1907	0.902
1908	0.759
1909	0.963
1910	1.183
1911	1.516
1912	0.772
1913	0.884
1914	1.211
1915	0.789
1916	0.826
1917	0.908
1918	0.957
1919	1.355
1920	0.488
1921	0.816
1922	0.634
1923	1.032
1924	0.781
1925	0.958
1926	1.152
1927	0.505
1928	0.922
1929	0.787
1930	0.626
1931	1.037
1932	0.707
1933	0.511
1934	1.708
1935	0.736
1936	1.255
1937	0.68
1938	0.635
1939	0.596
1940	0.455
1941	1.053
1942	0.597
1943	0.818
1944	0.617
1945	0.503
1946	0.794
1947	0.767
1948	0.755
1949	0.587
1950	0.742
1951	0.398
1952	0.769
1953	0.581
1954	0.862
1955	0.437
1956	1.335
1957	1.07
1958	0.976
1959	0.984
1960	0.574
1961	1.007
1962	0.932
1963	0.891
1964	0.998
1965	0.608
1966	1.294
1967	0.742
1968	0.956
1969	0.732
1970	0.569
1971	0.526
1972	1.371
1973	0.631
1974	0.85
1975	0.679
1976	0.711
1977	0.698
1978	0.354
1979	0.721
1980	0.627
1981	0.845
1982	0.527
1983	0.708
1984	0.757
1985	0.962
1986	0.512
1987	0.716
1988	0.575
1989	0.74
1990	0.752
1991	0.436
1992	1.032
1993	0.509
1994	0.832
1995	0.473