ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_ut513 - Bryce Point - 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/3437
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_ut513 - Bryce Point - 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: Bryce Point
#	Location:
#	Country: United States
#	Northernmost_Latitude: 37.6
#	Southernmost_Latitude: 37.6
#	Easternmost_Longitude: -112.15
#	Westernmost_Longitude: -112.15
#	Elevation: 2500 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_ut513B
#	Earliest_Year: 1336
#	Most_Recent_Year: 1998
#	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":"3.81687908105","T2":"16.1169929811","M1":"0.0230699149366","M2":"0.477961315118"}}
#--------------------
# 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
1336	0.803
1337	0.755
1338	0.671
1339	0.853
1340	0.951
1341	0.988
1342	0.782
1343	0.892
1344	0.783
1345	0.93
1346	0.784
1347	0.76
1348	0.834
1349	0.834
1350	0.541
1351	0.823
1352	0.59
1353	0.959
1354	0.812
1355	0.85
1356	0.875
1357	0.826
1358	0.679
1359	0.79
1360	0.815
1361	0.618
1362	0.804
1363	0.618
1364	0.755
1365	0.818
1366	1.155
1367	1.043
1368	1.094
1369	0.808
1370	0.883
1371	0.734
1372	1.222
1373	1.085
1374	1.266
1375	0.952
1376	0.881
1377	0.656
1378	0.549
1379	0.447
1380	0.789
1381	0.717
1382	0.726
1383	0.661
1384	0.626
1385	0.628
1386	0.751
1387	0.724
1388	0.705
1389	0.673
1390	0.601
1391	0.726
1392	0.803
1393	0.875
1394	1.099
1395	0.89
1396	1.163
1397	0.935
1398	1.058
1399	0.961
1400	0.807
1401	1.031
1402	1.133
1403	1.043
1404	1.12
1405	0.716
1406	0.962
1407	0.839
1408	0.975
1409	1.147
1410	1.057
1411	0.964
1412	1.072
1413	0.598
1414	0.868
1415	1.017
1416	0.868
1417	1.013
1418	1.106
1419	1.101
1420	1.342
1421	0.987
1422	1.198
1423	1.342
1424	1.417
1425	1.389
1426	1.093
1427	1.149
1428	1.298
1429	0.956
1430	1.072
1431	1.178
1432	1.238
1433	1.274
1434	0.843
1435	0.68
1436	1.174
1437	0.828
1438	0.725
1439	1.073
1440	1.213
1441	1.028
1442	0.568
1443	1.053
1444	0.459
1445	1.186
1446	0.835
1447	1.023
1448	0.995
1449	0.806
1450	0.754
1451	1.318
1452	1.177
1453	1.401
1454	1.17
1455	0.942
1456	0.836
1457	0.66
1458	0.961
1459	0.749
1460	0.65
1461	1.068
1462	1.16
1463	0.995
1464	0.646
1465	1.134
1466	1.708
1467	1.575
1468	1.145
1469	1.044
1470	0.939
1471	0.406
1472	0.785
1473	0.621
1474	1.097
1475	0.549
1476	0.895
1477	1.032
1478	1.013
1479	0.611
1480	0.902
1481	0.884
1482	1.195
1483	1.152
1484	1.323
1485	1.086
1486	1.328
1487	0.884
1488	1.13
1489	1.226
1490	1.431
1491	1.35
1492	1.163
1493	1.093
1494	1.12
1495	0.572
1496	0.819
1497	0.633
1498	1.051
1499	1.309
1500	0.544
1501	0.584
1502	1.153
1503	1.105
1504	1.05
1505	0.858
1506	0.417
1507	1.242
1508	1.225
1509	1.156
1510	0.849
1511	0.922
1512	0.974
1513	0.943
1514	1.187
1515	0.787
1516	1.163
1517	1.008
1518	1.33
1519	1.18
1520	1.108
1521	0.872
1522	0.567
1523	0.944
1524	0.986
1525	0.848
1526	1.201
1527	1.061
1528	0.777
1529	0.753
1530	0.807
1531	0.871
1532	0.525
1533	1.035
1534	0.944
1535	1.159
1536	1.431
1537	1.359
1538	0.789
1539	0.986
1540	1.082
1541	1.002
1542	0.853
1543	0.907
1544	0.63
1545	0.889
1546	0.96
1547	1.002
1548	1.007
1549	1.266
1550	0.935
1551	0.94
1552	1.09
1553	1.204
1554	1.13
1555	1.255
1556	1.299
1557	1.123
1558	0.741
1559	0.835
1560	1.129
1561	1.032
1562	1.085
1563	0.886
1564	1.211
1565	1.168
1566	0.788
1567	0.919
1568	1.007
1569	1.119
1570	1.081
1571	0.847
1572	0.827
1573	0.822
1574	0.907
1575	0.912
1576	0.835
1577	0.949
1578	0.94
1579	0.7
1580	0.51
1581	0.832
1582	1.096
1583	0.795
1584	0.471
1585	0.421
1586	1.003
1587	1.013
1588	1.072
1589	1.082
1590	0.643
1591	0.825
1592	0.657
1593	1.023
1594	1.228
1595	1.023
1596	0.991
1597	1.088
1598	1.015
1599	1.006
1600	0.595
1601	0.755
1602	1.162
1603	0.86
1604	1.096
1605	1.131
1606	0.858
1607	0.969
1608	0.921
1609	1.063
1610	0.872
1611	0.753
1612	0.777
1613	0.618
1614	0.989
1615	1.159
1616	0.918
1617	0.859
1618	1.06
1619	1.045
1620	0.991
1621	1.198
1622	0.894
1623	0.849
1624	0.597
1625	0.936
1626	0.643
1627	1.097
1628	1.02
1629	1.168
1630	0.983
1631	0.846
1632	0.629
1633	1.277
1634	1.012
1635	1.108
1636	1.149
1637	0.77
1638	0.932
1639	1.165
1640	1.402
1641	1.179
1642	1.002
1643	1.142
1644	1.324
1645	1.165
1646	1.218
1647	1.22
1648	0.773
1649	1.451
1650	1.059
1651	1.401
1652	0.938
1653	1.022
1654	0.448
1655	0.806
1656	0.887
1657	1.273
1658	1.115
1659	1.021
1660	1.038
1661	1.209
1662	1.211
1663	1.089
1664	1.133
1665	1.094
1666	1.074
1667	0.871
1668	0.822
1669	0.761
1670	0.275
1671	0.661
1672	0.832
1673	0.879
1674	1.027
1675	0.964
1676	0.794
1677	0.971
1678	1.055
1679	0.783
1680	1.056
1681	1.201
1682	1.058
1683	1.018
1684	0.732
1685	0.653
1686	0.403
1687	0.787
1688	1.029
1689	1.031
1690	0.944
1691	1.12
1692	1.114
1693	1.172
1694	1.168
1695	1.056
1696	1.01
1697	0.97
1698	0.597
1699	0.855
1700	0.903
1701	1.141
1702	1.079
1703	0.872
1704	0.984
1705	1.182
1706	0.884
1707	0.599
1708	0.718
1709	0.643
1710	0.927
1711	1.056
1712	1.099
1713	1.038
1714	1.103
1715	0.9
1716	0.81
1717	0.91
1718	1.306
1719	1.35
1720	1.288
1721	1.397
1722	0.74
1723	0.994
1724	1.102
1725	1.002
1726	1.136
1727	0.95
1728	0.981
1729	0.576
1730	0.708
1731	0.963
1732	0.94
1733	0.853
1734	0.879
1735	0.328
1736	0.292
1737	0.669
1738	1.068
1739	0.826
1740	0.733
1741	0.972
1742	0.721
1743	0.966
1744	0.956
1745	0.987
1746	1.191
1747	1.546
1748	0.906
1749	1.184
1750	1.141
1751	1.101
1752	0.833
1753	1.317
1754	1.066
1755	0.839
1756	1.072
1757	1.089
1758	1.381
1759	1.369
1760	1.082
1761	0.887
1762	1.008
1763	0.845
1764	1.109
1765	1.573
1766	1.283
1767	1.271
1768	1.261
1769	1.332
1770	1.342
1771	1.143
1772	1.053
1773	0.36
1774	0.787
1775	0.963
1776	0.929
1777	0.733
1778	1.017
1779	1.173
1780	0.833
1781	0.819
1782	0.471
1783	0.982
1784	0.924
1785	0.782
1786	0.631
1787	0.9
1788	0.772
1789	0.437
1790	0.933
1791	0.961
1792	1.09
1793	1.007
1794	0.906
1795	1.135
1796	1.239
1797	1.195
1798	1.157
1799	1.108
1800	0.917
1801	0.86
1802	1.132
1803	0.959
1804	1.034
1805	0.792
1806	1.047
1807	1.139
1808	0.857
1809	0.999
1810	1.047
1811	1.11
1812	0.995
1813	0.427
1814	1.005
1815	1.033
1816	1.147
1817	1.145
1818	0.685
1819	0.962
1820	0.827
1821	1.108
1822	0.703
1823	0.941
1824	0.934
1825	0.962
1826	1.017
1827	0.913
1828	1.095
1829	0.5
1830	0.816
1831	0.855
1832	1.065
1833	1.013
1834	1.137
1835	1.157
1836	1.072
1837	1.132
1838	1.244
1839	1.329
1840	1.438
1841	0.864
1842	0.9
1843	1.288
1844	1.16
1845	0.565
1846	0.96
1847	0.425
1848	1.145
1849	1.43
1850	1.311
1851	1.112
1852	1.098
1853	1.155
1854	0.981
1855	0.981
1856	0.791
1857	0.497
1858	0.831
1859	0.805
1860	0.776
1861	0.484
1862	1.03
1863	0.895
1864	0.646
1865	0.868
1866	1.146
1867	1.223
1868	1.272
1869	1.438
1870	1.096
1871	0.93
1872	0.748
1873	0.768
1874	0.892
1875	0.973
1876	0.917
1877	1.018
1878	1.094
1879	0.707
1880	0.855
1881	0.802
1882	0.522
1883	0.384
1884	0.956
1885	0.949
1886	0.933
1887	0.92
1888	1.015
1889	1.348
1890	1.253
1891	1.31
1892	1.264
1893	0.811
1894	0.751
1895	1.041
1896	0.458
1897	0.959
1898	1.203
1899	0.414
1900	0.869
1901	0.788
1902	0.542
1903	1.013
1904	0.709
1905	0.924
1906	1.091
1907	1.177
1908	1.206
1909	1.248
1910	1.3
1911	1.374
1912	1.394
1913	1.33
1914	1.522
1915	1.306
1916	1.118
1917	1.488
1918	1.067
1919	1.158
1920	1.116
1921	1.042
1922	1.161
1923	0.918
1924	0.882
1925	0.799
1926	1.155
1927	0.953
1928	1.224
1929	0.96
1930	0.938
1931	0.832
1932	1.049
1933	1.196
1934	0.665
1935	1.073
1936	0.717
1937	1.213
1938	1.236
1939	1.008
1940	0.95
1941	1.066
1942	1.118
1943	0.749
1944	1.003
1945	0.955
1946	0.71
1947	0.892
1948	1.349
1949	1.501
1950	0.829
1951	0.518
1952	0.973
1953	0.587
1954	1.057
1955	0.838
1956	0.556
1957	0.773
1958	1.027
1959	0.537
1960	0.885
1961	0.709
1962	0.902
1963	0.898
1964	0.908
1965	1.032
1966	1.043
1967	0.766
1968	1.164
1969	1.405
1970	0.731
1971	0.741
1972	0.884
1973	1.202
1974	0.675
1975	0.957
1976	0.917
1977	0.584
1978	1.044
1979	1.097
1980	1.173
1981	0.74
1982	1.057
1983	1.378
1984	1.245
1985	1.369
1986	1.048
1987	1.48
1988	1.577
1989	0.958
1990	0.985
1991	0.836
1992	1.169
1993	1.29
1994	1.006
1995	0.801
1996	0.418
1997	0.882
1998	1.211