ÃÂ¯ÃÂ»ÃÂ¿# northamerica_mexico_mexi023 - Cerro Baraja and Los Angeles Sawmill - 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/4826
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_mexico_mexi023 - Cerro Baraja and Los Angeles Sawmill - 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: Cerro Baraja and Los Angeles Sawmill
#	Location:
#	Country: Mexico
#	Northernmost_Latitude: 26.4
#	Southernmost_Latitude: 26.4
#	Easternmost_Longitude: -106.08
#	Westernmost_Longitude: -106.08
#	Elevation: 3170 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_mexico_mexi023B
#	Earliest_Year: 1376
#	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":"3.25983698777","T2":"14.8516519359","M1":"0.0233556956293","M2":"0.540335904771"}}
#--------------------
# Species
#	Species_Name: Douglas fir
#	Species_Code: PSME
#--------------------
# Chronology:
#
#
#
#--------------------
# 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
1376	0.911
1377	1.388
1378	1.253
1379	1.073
1380	1.226
1381	1.242
1382	0.748
1383	0.781
1384	1.098
1385	1.135
1386	1.011
1387	0.877
1388	0.84
1389	0.792
1390	1.345
1391	0.978
1392	1.116
1393	0.854
1394	0.842
1395	1.112
1396	0.638
1397	0.37
1398	0.5
1399	0.883
1400	0.899
1401	0.872
1402	1.357
1403	0.853
1404	1.535
1405	0.808
1406	1.115
1407	0.853
1408	1.471
1409	1.129
1410	0.93
1411	0.586
1412	1.382
1413	0.692
1414	0.98
1415	0.508
1416	1.159
1417	0.865
1418	0.876
1419	0.458
1420	0.586
1421	0.807
1422	0.329
1423	0.645
1424	1.502
1425	1.533
1426	0.973
1427	1.48
1428	0.918
1429	0.787
1430	0.797
1431	0.827
1432	1.138
1433	0.641
1434	0.664
1435	1.256
1436	1.474
1437	0.55
1438	0.883
1439	1.101
1440	0.782
1441	1.667
1442	0.752
1443	0.92
1444	1.082
1445	0.841
1446	0.739
1447	0.627
1448	1.891
1449	2.902
1450	1.094
1451	1.796
1452	0.895
1453	0.668
1454	0.907
1455	0.975
1456	1.395
1457	0.775
1458	1.47
1459	0.963
1460	1.929
1461	0.919
1462	1.376
1463	0.609
1464	0.897
1465	0.551
1466	1.193
1467	1.596
1468	0.561
1469	0.918
1470	0.582
1471	0.827
1472	1.058
1473	0.862
1474	0.853
1475	0.429
1476	0.78
1477	0.956
1478	1.331
1479	0.899
1480	1.525
1481	1.346
1482	1.489
1483	1.106
1484	1.734
1485	1.332
1486	2.296
1487	1.629
1488	0.929
1489	1.33
1490	1.026
1491	0.225
1492	1.412
1493	0.552
1494	0.446
1495	0.734
1496	1.077
1497	0.884
1498	1.535
1499	1.604
1500	1.145
1501	0.796
1502	0.745
1503	1.095
1504	1.062
1505	1.275
1506	0.951
1507	1.497
1508	0.906
1509	0.776
1510	1.307
1511	1.404
1512	0.896
1513	0.763
1514	0.575
1515	0.952
1516	0.827
1517	0.735
1518	1.009
1519	1.154
1520	1.188
1521	0.647
1522	0.905
1523	0.801
1524	0.758
1525	1.329
1526	1.593
1527	1.321
1528	0.763
1529	1.209
1530	1.316
1531	1.056
1532	1.085
1533	0.988
1534	0.95
1535	0.956
1536	1.129
1537	1.244
1538	0.914
1539	1.329
1540	1.258
1541	0.534
1542	0.575
1543	0.873
1544	1.239
1545	1.206
1546	0.449
1547	1.084
1548	0.859
1549	0.633
1550	1.354
1551	0.93
1552	0.841
1553	1.093
1554	1.088
1555	0.884
1556	0.926
1557	0.474
1558	1.199
1559	0.785
1560	0.589
1561	0.583
1562	0.595
1563	0.785
1564	0.343
1565	0.88
1566	0.364
1567	0.17
1568	0.429
1569	0.582
1570	0.82
1571	0.482
1572	0.393
1573	0.407
1574	0.898
1575	0.574
1576	0.454
1577	0.669
1578	0.534
1579	0.528
1580	0.891
1581	0.844
1582	0.994
1583	0.816
1584	0.493
1585	1.123
1586	1.396
1587	0.678
1588	0.944
1589	0.498
1590	0.695
1591	1.029
1592	0.978
1593	0.754
1594	1.237
1595	0.876
1596	0.78
1597	0.987
1598	1.269
1599	0.718
1600	0.624
1601	1.116
1602	0.807
1603	1.243
1604	0.807
1605	0.54
1606	0.779
1607	1.166
1608	1.226
1609	1.041
1610	1.223
1611	0.763
1612	0.959
1613	0.69
1614	1.132
1615	0.82
1616	0.967
1617	0.812
1618	1.111
1619	0.986
1620	1.419
1621	1.353
1622	0.873
1623	0.853
1624	0.692
1625	0.606
1626	0.692
1627	1.012
1628	1.087
1629	1.226
1630	1.261
1631	1.107
1632	1.016
1633	0.838
1634	1.156
1635	1.34
1636	1.078
1637	0.883
1638	1.34
1639	1.53
1640	1.221
1641	1.043
1642	1.003
1643	1.028
1644	0.956
1645	1.031
1646	1.388
1647	1.17
1648	0.927
1649	0.968
1650	1.133
1651	1.47
1652	1.177
1653	0.628
1654	0.892
1655	1.068
1656	1.217
1657	0.85
1658	1.16
1659	1.111
1660	1.418
1661	1.217
1662	1.085
1663	0.84
1664	0.913
1665	1.335
1666	1.104
1667	0.708
1668	0.526
1669	0.93
1670	0.874
1671	1.223
1672	0.785
1673	0.942
1674	1.125
1675	0.998
1676	1.076
1677	1.226
1678	0.954
1679	0.983
1680	1.343
1681	0.961
1682	1.302
1683	0.954
1684	0.904
1685	0.59
1686	1.1
1687	1.143
1688	0.774
1689	0.963
1690	1.02
1691	0.853
1692	1.189
1693	0.974
1694	1.112
1695	1.135
1696	0.455
1697	0.74
1698	0.67
1699	0.821
1700	1.04
1701	0.974
1702	0.709
1703	0.804
1704	0.675
1705	0.596
1706	1.118
1707	1.001
1708	0.894
1709	0.694
1710	0.823
1711	0.735
1712	0.947
1713	0.983
1714	1.165
1715	0.894
1716	0.755
1717	0.806
1718	1.217
1719	1.35
1720	1.091
1721	1.349
1722	1.308
1723	1.349
1724	0.83
1725	0.911
1726	1.585
1727	1.28
1728	1.199
1729	1.209
1730	0.89
1731	1.001
1732	0.916
1733	0.701
1734	0.9
1735	1.162
1736	1.251
1737	1.395
1738	1.475
1739	0.844
1740	0.925
1741	0.76
1742	0.429
1743	0.636
1744	1.136
1745	1.141
1746	1.467
1747	1.366
1748	0.873
1749	1.118
1750	0.848
1751	1.319
1752	0.764
1753	0.865
1754	0.68
1755	0.548
1756	1.194
1757	0.809
1758	0.827
1759	1.065
1760	1.031
1761	0.83
1762	0.991
1763	0.567
1764	0.835
1765	0.961
1766	0.9
1767	0.908
1768	0.864
1769	1.369
1770	1.441
1771	1.159
1772	0.805
1773	0.878
1774	0.957
1775	0.595
1776	0.885
1777	1.033
1778	0.667
1779	0.718
1780	0.977
1781	0.832
1782	0.852
1783	1.002
1784	1.192
1785	0.721
1786	0.629
1787	0.703
1788	1.22
1789	0.453
1790	0.493
1791	1.367
1792	1.437
1793	1.16
1794	1.293
1795	1.288
1796	1.243
1797	1.099
1798	0.754
1799	1.151
1800	1.344
1801	0.682
1802	0.84
1803	1.017
1804	0.957
1805	0.571
1806	1.085
1807	1.029
1808	0.648
1809	1.098
1810	0.889
1811	0.854
1812	1.117
1813	0.902
1814	1.369
1815	1.356
1816	1.525
1817	1.226
1818	0.897
1819	0.792
1820	0.678
1821	0.927
1822	1.009
1823	0.891
1824	1.158
1825	0.901
1826	0.8
1827	1.434
1828	0.983
1829	1.065
1830	0.902
1831	0.956
1832	1.176
1833	1.409
1834	1.154
1835	1.181
1836	1.041
1837	1.299
1838	0.953
1839	1.346
1840	1.02
1841	1.126
1842	1.06
1843	1
1844	1.127
1845	1.158
1846	1.252
1847	1.039
1848	1.263
1849	0.961
1850	1.093
1851	1.068
1852	1.358
1853	1.049
1854	1.067
1855	0.915
1856	1.359
1857	0.683
1858	1.22
1859	0.716
1860	0.607
1861	0.901
1862	0.634
1863	0.844
1864	0.77
1865	0.806
1866	0.561
1867	0.544
1868	0.553
1869	1.193
1870	0.773
1871	0.666
1872	0.667
1873	0.85
1874	1
1875	0.909
1876	0.856
1877	1.209
1878	0.874
1879	0.864
1880	0.74
1881	1.193
1882	1.122
1883	0.843
1884	0.778
1885	1.038
1886	0.854
1887	0.584
1888	1.325
1889	1.341
1890	0.583
1891	0.981
1892	0.616
1893	0.412
1894	0.674
1895	1.048
1896	1.06
1897	1.059
1898	0.932
1899	1.09
1900	0.977
1901	0.878
1902	0.753
1903	1.358
1904	0.78
1905	1.395
1906	1.106
1907	0.609
1908	1.052
1909	0.857
1910	0.907
1911	1.022
1912	1.385
1913	1.5
1914	1.133
1915	1.216
1916	0.727
1917	1.239
1918	0.976
1919	1.434
1920	1.248
1921	0.777
1922	0.761
1923	0.942
1924	1.136
1925	0.675
1926	1.558
1927	0.986
1928	1.172
1929	0.716
1930	1.297
1931	1.456
1932	0.766
1933	1.132
1934	0.893
1935	0.846
1936	0.962
1937	0.827
1938	1.006
1939	0.757
1940	1.265
1941	1.08
1942	1.034
1943	0.768
1944	1.448
1945	0.89
1946	0.813
1947	1.32
1948	1.035
1949	0.837
1950	0.902
1951	0.52
1952	0.807
1953	0.261
1954	0.689
1955	0.676
1956	0.592
1957	0.573
1958	0.948
1959	0.916
1960	0.942
1961	0.986
1962	0.772
1963	0.803
1964	1.488
1965	0.769
1966	1.304
1967	0.946
1968	1.432
1969	0.783
1970	0.792
1971	0.823
1972	1.18
1973	1.23
1974	0.536
1975	1.079
1976	0.832
1977	1.323
1978	0.817
1979	1.542
1980	0.478
1981	1.589
1982	0.573
1983	1.027
1984	0.97
1985	0.999
1986	0.547
1987	1.348
1988	0.902
1989	0.673
1990	1.118
1991	1.112
1992	1.671
1993	0.772