ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nv056 - Pequap Summit - 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/4983
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nv056 - Pequap Summit - 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: Pequap Summit
#	Location:
#	Country: United States
#	Northernmost_Latitude: 41.05
#	Southernmost_Latitude: 41.05
#	Easternmost_Longitude: -114.58
#	Westernmost_Longitude: -114.58
#	Elevation: 2286 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nv056B
#	Earliest_Year: 1330
#	Most_Recent_Year: 1982
#	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":"4.80619418419","T2":"17.007984866","M1":"0.0233218846842","M2":"0.381849011854"}}
#--------------------
# Species
#	Species_Name: singleleaf pinyon pine
#	Species_Code: PIMO
#--------------------
# 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
1330	0.734
1331	0.677
1332	0.993
1333	1.072
1334	0.682
1335	0.735
1336	0.676
1337	0.548
1338	0.558
1339	0.568
1340	0.708
1341	0.885
1342	0.984
1343	0.908
1344	0.981
1345	0.894
1346	1.057
1347	1.024
1348	1.495
1349	1.373
1350	1.521
1351	1.117
1352	1.147
1353	1.16
1354	1.346
1355	1.193
1356	1.77
1357	2.266
1358	1.761
1359	1.3
1360	1.668
1361	1.034
1362	1.235
1363	0.983
1364	1.175
1365	1.073
1366	1.009
1367	1.174
1368	1.485
1369	1.393
1370	1.184
1371	1.099
1372	0.995
1373	1.417
1374	1.068
1375	0.815
1376	0.758
1377	0.729
1378	0.731
1379	0.872
1380	0.674
1381	0.705
1382	0.807
1383	0.991
1384	1.145
1385	0.894
1386	0.855
1387	0.939
1388	0.879
1389	0.86
1390	0.883
1391	0.844
1392	0.908
1393	1.557
1394	1.667
1395	1.37
1396	1.178
1397	0.717
1398	0.918
1399	0.957
1400	0.829
1401	0.702
1402	0.929
1403	0.719
1404	1.055
1405	1.393
1406	1.203
1407	1.092
1408	1.335
1409	1.204
1410	1.317
1411	1.176
1412	0.871
1413	0.803
1414	1.244
1415	1.138
1416	0.844
1417	1.305
1418	1.631
1419	1.343
1420	1.434
1421	1.432
1422	1.248
1423	1.075
1424	0.925
1425	1.046
1426	0.939
1427	0.78
1428	0.701
1429	0.922
1430	0.743
1431	1.155
1432	0.801
1433	0.477
1434	0.655
1435	0.646
1436	0.448
1437	0.659
1438	0.654
1439	0.619
1440	0.685
1441	0.6
1442	0.601
1443	0.629
1444	0.563
1445	0.594
1446	0.559
1447	0.629
1448	0.971
1449	0.712
1450	0.818
1451	0.874
1452	0.912
1453	1.064
1454	1.281
1455	0.958
1456	0.907
1457	1.058
1458	0.837
1459	1.038
1460	0.804
1461	0.665
1462	1.074
1463	0.972
1464	0.8
1465	0.888
1466	0.718
1467	0.708
1468	0.687
1469	1.015
1470	0.986
1471	0.813
1472	1.136
1473	1.393
1474	0.899
1475	0.782
1476	0.953
1477	0.856
1478	1.158
1479	0.926
1480	1.181
1481	1.139
1482	0.776
1483	1.063
1484	1.548
1485	1.228
1486	1.232
1487	1.366
1488	1.078
1489	1.265
1490	1.073
1491	0.904
1492	0.986
1493	0.8
1494	0.93
1495	0.906
1496	1.273
1497	0.822
1498	1.241
1499	0.776
1500	1
1501	1.104
1502	0.761
1503	0.826
1504	0.818
1505	0.404
1506	0.512
1507	0.984
1508	1.083
1509	1.419
1510	1.119
1511	1.046
1512	1.232
1513	1.125
1514	1.092
1515	0.992
1516	1.283
1517	1.002
1518	0.575
1519	1.064
1520	1.416
1521	1.245
1522	0.894
1523	0.8
1524	0.981
1525	1.084
1526	0.778
1527	1.208
1528	0.799
1529	0.748
1530	0.74
1531	0.557
1532	0.657
1533	0.765
1534	0.936
1535	1.09
1536	1.453
1537	1.139
1538	1.659
1539	1.454
1540	0.945
1541	1.411
1542	1.001
1543	1.086
1544	1.212
1545	0.812
1546	0.966
1547	1.177
1548	0.972
1549	1.024
1550	1.023
1551	1.062
1552	1.187
1553	1.186
1554	0.858
1555	0.812
1556	1.06
1557	1.489
1558	1.192
1559	1.281
1560	1.08
1561	1.106
1562	1.005
1563	1.077
1564	1.282
1565	1.068
1566	1.065
1567	0.898
1568	1.214
1569	1.373
1570	0.962
1571	0.758
1572	1.043
1573	0.845
1574	1.193
1575	1.195
1576	0.761
1577	0.926
1578	1
1579	0.447
1580	0.289
1581	0.573
1582	0.645
1583	0.903
1584	0.725
1585	0.88
1586	0.855
1587	1.181
1588	1.13
1589	1.163
1590	0.359
1591	0.813
1592	0.466
1593	0.805
1594	0.849
1595	0.666
1596	0.968
1597	1.173
1598	0.744
1599	0.903
1600	0.56
1601	0.732
1602	0.857
1603	0.998
1604	0.953
1605	1.003
1606	0.991
1607	0.706
1608	1.571
1609	1.338
1610	1.089
1611	0.783
1612	1.165
1613	1.323
1614	0.816
1615	1.14
1616	1.112
1617	1.508
1618	1.671
1619	0.889
1620	1.119
1621	1.219
1622	1.081
1623	0.976
1624	0.888
1625	1.267
1626	0.476
1627	0.676
1628	0.665
1629	0.676
1630	0.576
1631	0.626
1632	0.217
1633	0.957
1634	0.944
1635	0.754
1636	0.927
1637	0.561
1638	0.548
1639	0.9
1640	1.328
1641	1.115
1642	1.643
1643	1.321
1644	1.091
1645	0.863
1646	0.734
1647	0.68
1648	0.873
1649	0.603
1650	1.113
1651	0.927
1652	1.112
1653	0.539
1654	0.728
1655	0.627
1656	0.787
1657	0.723
1658	0.982
1659	1.072
1660	0.747
1661	1.065
1662	0.709
1663	0.908
1664	0.979
1665	0.771
1666	1.222
1667	0.741
1668	0.944
1669	1.195
1670	1.183
1671	0.798
1672	1.062
1673	0.998
1674	1.073
1675	1.039
1676	1.405
1677	0.978
1678	0.829
1679	1.083
1680	1.092
1681	0.747
1682	0.754
1683	1.127
1684	1.039
1685	0.931
1686	0.851
1687	0.991
1688	1.026
1689	0.9
1690	0.645
1691	0.692
1692	1.175
1693	0.961
1694	1.145
1695	1.043
1696	1.115
1697	1.1
1698	0.784
1699	1.172
1700	1.395
1701	1.096
1702	1.283
1703	0.813
1704	0.698
1705	0.902
1706	0.799
1707	0.938
1708	0.552
1709	0.644
1710	0.701
1711	1.044
1712	0.909
1713	1.102
1714	0.798
1715	0.814
1716	1.028
1717	0.628
1718	0.758
1719	1.214
1720	1.358
1721	0.339
1722	0.679
1723	0.985
1724	1.213
1725	1.052
1726	1.73
1727	1.523
1728	1.504
1729	0.605
1730	0.757
1731	0.996
1732	0.938
1733	1.256
1734	1.306
1735	0.427
1736	1.039
1737	1.008
1738	1.122
1739	0.987
1740	1.472
1741	1.013
1742	0.754
1743	0.856
1744	0.494
1745	0.892
1746	1.328
1747	1.185
1748	0.68
1749	1.229
1750	1.173
1751	1.248
1752	0.977
1753	0.844
1754	1.176
1755	1.237
1756	0.614
1757	0.663
1758	0.99
1759	0.874
1760	0.953
1761	1.483
1762	1.034
1763	0.628
1764	0.687
1765	0.358
1766	0.68
1767	0.974
1768	1.039
1769	1.039
1770	0.916
1771	0.964
1772	0.595
1773	0.857
1774	0.492
1775	1.122
1776	1.202
1777	0.98
1778	0.98
1779	1.042
1780	1.522
1781	0.958
1782	0.486
1783	0.72
1784	0.976
1785	0.935
1786	1.07
1787	0.965
1788	0.887
1789	1.75
1790	1.212
1791	1.554
1792	1.567
1793	0.947
1794	0.798
1795	0.432
1796	1.18
1797	1.289
1798	0.871
1799	1.16
1800	1.074
1801	0.955
1802	1.341
1803	1.404
1804	1.002
1805	1.642
1806	0.948
1807	1.189
1808	0.949
1809	0.849
1810	1.427
1811	1.843
1812	1.36
1813	0.998
1814	0.788
1815	0.773
1816	0.897
1817	0.793
1818	0.721
1819	0.874
1820	1.128
1821	1.376
1822	0.792
1823	0.792
1824	0.701
1825	0.952
1826	1.088
1827	1.011
1828	1.006
1829	1.252
1830	0.984
1831	0.598
1832	1.525
1833	1.052
1834	0.877
1835	0.708
1836	1.748
1837	1.452
1838	1.8
1839	1.467
1840	1.207
1841	0.82
1842	0.581
1843	0.738
1844	1.093
1845	0.949
1846	0.227
1847	0.877
1848	0.853
1849	1.315
1850	1.255
1851	1.261
1852	1.018
1853	1.19
1854	1.294
1855	1.117
1856	0.655
1857	1.027
1858	1.281
1859	1.001
1860	1.062
1861	0.776
1862	0.926
1863	0.691
1864	0.79
1865	0.886
1866	1.248
1867	1.232
1868	1.287
1869	1.128
1870	0.849
1871	0.731
1872	0.552
1873	0.716
1874	0.77
1875	0.899
1876	0.886
1877	1.04
1878	1.102
1879	0.594
1880	1.054
1881	1.196
1882	1.304
1883	1.219
1884	1.352
1885	1.484
1886	0.872
1887	0.634
1888	0.736
1889	0.789
1890	0.694
1891	1.085
1892	0.979
1893	0.516
1894	1.096
1895	0.908
1896	0.956
1897	1.065
1898	1.172
1899	0.665
1900	0.909
1901	0.772
1902	0.768
1903	1.088
1904	0.911
1905	1.208
1906	1.187
1907	1.337
1908	1.422
1909	0.926
1910	1.226
1911	1.236
1912	1.397
1913	2.167
1914	1.917
1915	0.913
1916	1.053
1917	1.193
1918	0.733
1919	0.856
1920	1.078
1921	1.038
1922	0.764
1923	0.942
1924	0.716
1925	1.227
1926	0.615
1927	0.646
1928	0.757
1929	0.84
1930	0.985
1931	0.632
1932	1.005
1933	0.624
1934	0.344
1935	0.715
1936	0.602
1937	0.903
1938	1.078
1939	0.619
1940	0.964
1941	1.165
1942	1.068
1943	0.836
1944	0.973
1945	0.957
1946	1.252
1947	1.174
1948	0.605
1949	1.104
1950	1.255
1951	1.261
1952	0.906
1953	0.386
1954	0.678
1955	0.556
1956	0.943
1957	0.841
1958	0.748
1959	0.382
1960	0.768
1961	0.652
1962	0.908
1963	1.069
1964	0.976
1965	1.09
1966	1.268
1967	0.911
1968	0.652
1969	0.907
1970	1.035
1971	1.104
1972	1.054
1973	1.383
1974	0.568
1975	0.838
1976	0.884
1977	0.919
1978	0.647
1979	1.001
1980	1
1981	0.33
1982	1.332