ÃÂ¯ÃÂ»ÃÂ¿# northamerica_mexico_mexi001 - San Pedro Martir Low - 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/5044
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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_mexi001 - San Pedro Martir Low - 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.
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# 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: San Pedro Martir Low
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 31.17
#	Southernmost_Latitude: 31.17
#	Easternmost_Longitude: -115.5
#	Westernmost_Longitude: -115.5
#	Elevation: 2133 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi001B
#	Earliest_Year: 1449
#	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":"5.13276963631","T2":"17.2470744078","M1":"0.0219501970436","M2":"0.378154536786"}}
#--------------------
# 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
1449	0.992
1450	1.141
1451	1.219
1452	1.076
1453	0.932
1454	0.86
1455	0.993
1456	0.847
1457	0.988
1458	1.029
1459	0.721
1460	1.038
1461	0.884
1462	0.986
1463	1.078
1464	1.338
1465	0.784
1466	0.931
1467	1.14
1468	1.08
1469	1.008
1470	0.864
1471	0.631
1472	0.896
1473	1.178
1474	1.065
1475	0.98
1476	1.4
1477	1.29
1478	1.256
1479	1.139
1480	1.015
1481	1.031
1482	0.98
1483	1.054
1484	1.173
1485	1.086
1486	0.685
1487	1.009
1488	0.897
1489	1.221
1490	1.198
1491	0.962
1492	0.5
1493	1.048
1494	0.867
1495	0.493
1496	0.841
1497	0.899
1498	1.254
1499	0.95
1500	0.855
1501	1.023
1502	0.968
1503	0.868
1504	1.489
1505	1.307
1506	0.632
1507	1.275
1508	1.167
1509	1.43
1510	0.463
1511	1.554
1512	1.168
1513	1.558
1514	1.326
1515	0.998
1516	0.843
1517	0.995
1518	1.08
1519	1.283
1520	0.944
1521	0.292
1522	0.771
1523	1.097
1524	1.28
1525	1.439
1526	1.318
1527	1.111
1528	0.751
1529	1.185
1530	1.369
1531	1.041
1532	1.046
1533	1.08
1534	1.133
1535	1.029
1536	1.161
1537	1.156
1538	0.744
1539	1.353
1540	1.459
1541	1.294
1542	0.502
1543	1.244
1544	0.985
1545	0.728
1546	1.107
1547	1.006
1548	0.823
1549	1.347
1550	1.099
1551	0.953
1552	1.034
1553	0.864
1554	0.839
1555	1.039
1556	0.962
1557	0.703
1558	0.671
1559	0.804
1560	0.911
1561	0.735
1562	0.912
1563	0.664
1564	1.063
1565	1.09
1566	0.504
1567	0.821
1568	1.097
1569	1.036
1570	0.95
1571	0.841
1572	0.91
1573	0.446
1574	0.356
1575	0.595
1576	0.785
1577	0.7
1578	0.706
1579	0.426
1580	0.675
1581	0.895
1582	1.123
1583	0.916
1584	0.298
1585	0.257
1586	0.818
1587	0.704
1588	0.176
1589	0.809
1590	0.452
1591	0.608
1592	0.643
1593	0.855
1594	0.829
1595	0.865
1596	1.088
1597	0.596
1598	1.088
1599	1.11
1600	0.944
1601	0.869
1602	0.739
1603	0.969
1604	1.036
1605	0.885
1606	0.842
1607	0.729
1608	0.96
1609	0.812
1610	1.213
1611	1.032
1612	0.673
1613	0.078
1614	0.825
1615	0.826
1616	0.759
1617	1.153
1618	0.979
1619	0.836
1620	0.788
1621	1.073
1622	0.897
1623	0.57
1624	0.571
1625	1.006
1626	0.466
1627	0.843
1628	0.954
1629	1.119
1630	1.013
1631	0.931
1632	0.272
1633	0.498
1634	0.854
1635	1.112
1636	1.276
1637	0.997
1638	1.357
1639	1.023
1640	1.218
1641	1.098
1642	0.983
1643	0.892
1644	1.187
1645	1.078
1646	1.043
1647	1.176
1648	0.47
1649	1.138
1650	1.314
1651	1.375
1652	1.28
1653	0.882
1654	0.128
1655	1.249
1656	1.164
1657	1.138
1658	1.214
1659	1.231
1660	1.458
1661	1.272
1662	1.517
1663	1.641
1664	1.194
1665	0.299
1666	1.321
1667	1.076
1668	0.855
1669	0.547
1670	0.114
1671	1.202
1672	1.042
1673	0.918
1674	1.078
1675	0.621
1676	0.322
1677	1.157
1678	0.893
1679	1.051
1680	1.15
1681	1.21
1682	1.252
1683	1.226
1684	1.103
1685	1.128
1686	1.145
1687	1.2
1688	1.239
1689	1.235
1690	1.006
1691	0.748
1692	1.316
1693	1.141
1694	1.205
1695	1.038
1696	1.027
1697	0.953
1698	0.978
1699	1.444
1700	1.162
1701	1.297
1702	1.171
1703	0.573
1704	0.995
1705	1.15
1706	1.044
1707	1.061
1708	1.081
1709	0.808
1710	1.004
1711	0.828
1712	0.876
1713	0.802
1714	1.108
1715	0.961
1716	0.605
1717	1.138
1718	1.212
1719	1.271
1720	1.301
1721	1.389
1722	1.287
1723	1.486
1724	1.22
1725	1.438
1726	1.609
1727	1.012
1728	0.957
1729	0.85
1730	1.143
1731	1.196
1732	1.132
1733	0.796
1734	1.051
1735	0.643
1736	0.857
1737	1.261
1738	1.21
1739	0.817
1740	0.995
1741	1.249
1742	0.786
1743	1.059
1744	1.056
1745	1.196
1746	1.074
1747	1.429
1748	1.25
1749	1.38
1750	1.255
1751	0.99
1752	0.115
1753	0.393
1754	0.234
1755	0.578
1756	0.735
1757	0.733
1758	1.061
1759	1.262
1760	1.224
1761	0.847
1762	1.124
1763	0.501
1764	0.797
1765	0.819
1766	1.054
1767	0.883
1768	0.992
1769	1.132
1770	1.012
1771	1.083
1772	1.261
1773	1.246
1774	1.239
1775	1.361
1776	1.116
1777	0.904
1778	0.715
1779	0.896
1780	0.843
1781	0.961
1782	0.335
1783	1.151
1784	1.448
1785	1.105
1786	1.273
1787	1.238
1788	1.038
1789	1.063
1790	0.671
1791	1.13
1792	1.496
1793	1.374
1794	1.015
1795	1.037
1796	0.874
1797	0.761
1798	0.965
1799	1.149
1800	1.489
1801	1.335
1802	1.391
1803	1.263
1804	1.081
1805	1.185
1806	1.131
1807	0.838
1808	1.053
1809	0.631
1810	1.185
1811	1.117
1812	1.018
1813	0.965
1814	0.968
1815	1.013
1816	1.207
1817	1.193
1818	1.234
1819	0.863
1820	0.052
1821	1.09
1822	0.752
1823	0.689
1824	1.174
1825	0.985
1826	1.464
1827	1.311
1828	1.154
1829	0.311
1830	0.76
1831	0.774
1832	0.951
1833	0.971
1834	1.021
1835	1.102
1836	1.147
1837	1.062
1838	1.183
1839	1.143
1840	1.11
1841	0.682
1842	0.969
1843	0.492
1844	0.984
1845	0.396
1846	1.174
1847	0.315
1848	1.262
1849	1.014
1850	1.265
1851	1.068
1852	1.065
1853	1.261
1854	1.225
1855	1.337
1856	1.283
1857	1.01
1858	1.212
1859	1.047
1860	0.939
1861	1.208
1862	1.205
1863	1.118
1864	0.936
1865	1.01
1866	1.207
1867	0.887
1868	1.231
1869	1.094
1870	0.865
1871	0.735
1872	0.703
1873	0.725
1874	0.922
1875	0.905
1876	0.805
1877	0.68
1878	1.002
1879	0.57
1880	1.013
1881	0.696
1882	0.719
1883	0.688
1884	1.139
1885	1.036
1886	1.073
1887	1.057
1888	0.895
1889	0.928
1890	1.232
1891	1.26
1892	1.262
1893	1.066
1894	0.783
1895	0.91
1896	0.954
1897	0.979
1898	0.793
1899	0.586
1900	0.247
1901	0.802
1902	0.513
1903	0.709
1904	0.488
1905	1.079
1906	0.945
1907	1.059
1908	1.069
1909	1.26
1910	1.119
1911	1.068
1912	0.85
1913	0.864
1914	1.061
1915	0.867
1916	0.952
1917	1.027
1918	1.178
1919	1.235
1920	1.03
1921	0.714
1922	1.139
1923	0.766
1924	0.818
1925	0.666
1926	1.133
1927	0.959
1928	0.737
1929	0.424
1930	1.232
1931	1.263
1932	0.921
1933	0.788
1934	0.345
1935	0.983
1936	0.953
1937	0.878
1938	0.949
1939	0.854
1940	1.145
1941	1.025
1942	0.994
1943	0.959
1944	0.736
1945	0.727
1946	0.95
1947	0.885
1948	-0.029
1949	0.843
1950	0.562
1951	0.781
1952	0.775
1953	0.991
1954	1.074
1955	0.672
1956	0.351
1957	1.134
1958	1.169
1959	1.294
1960	0.938
1961	0.313
1962	1.106
1963	0.788
1964	0.483
1965	1.16
1966	1.121
1967	1.378
1968	1.192
1969	1.146
1970	1.178
1971	0.762