Ã¯Â»Â¿# Altai, Siberia 750 Year Ice Core d18O and Temperature Reconstruction  
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#               World Data Center for Paleoclimatology, Boulder
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#                     NOAA Paleoclimatology Program
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# NOTE: Please cite original reference when using these data,
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed
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# Online_Resource: https://www.ncdc.noaa.gov/cdo/f?p=519:1:::::P1_study_id:12885
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/icecore/trop/belukha/belukha2009.txt
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Ice Cores
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# Contribution_date
#	Date: 2012
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# Title 
#	Study_Name: Altai, Siberia 750 Year Ice Core d18O and Temperature Reconstruction 
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# Investigators
#	Investigators: Eichler, A.; Oliviver, S.; Henderson, K.; Laube, A.; Beer. J.; Papina, T.; Gaggeler, H.W.; Schwikowski, M. 
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# Description_and_Notes
# 	Description: Ice core oxygen isotope data (d18O) and March-November temperature reconstruction for the Altai region of Siberia over the past 750 years. 
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#	March-November temperatures in the Altai region were reconstructed using d18O measurements from a Belukha ice core in the Siberian Altai. Dating uncertainties are <3 years (AD 1815-1980), <5 years (AD 1400-1815), and <10 years (AD 1250-1400). 
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#	Calibration was performed for the period 1850-1980 based on 10-year means, using temperature data from the weather station Barnaul. 
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#	Belukha ice core: 49ÃÂ°48'26"N, 86ÃÂ°34'43"E, elevation 4062 m a.s.l. 
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# Publication
#	Authors: A. Eichler, S. Olivier, K. Henderson, A. Laube, J. Beer, T. Papina, H. W. GÃÂ¤ggeler, and M. Schwikowsk 
#	Published_Date_or_Year: 2009
#	Published_Title: Temperature response in the Altai region lags solar forcing
#	Journal_Name: Geophysical Research Letters
#	Volume: 36			
#	Edition: 	
#	Issue: L01808
#	Pages: 
#	DOI: 10.1029/2008GL035930
#	Online_Resource: 
#	Full_Citation:  
#	Abstract: The role of the sun on Earth's climate variability is still  much debated. Here we present an ice core oxygen isotope  record from the continental Siberian Altai, serving as a  high-resolution temperature proxy for the last 750 years.  The strong correlation between reconstructed temperature  and solar activity suggests solar forcing as a main driver  for temperature variations during the period 1250-1850  in this region. The precisely dated record allowed for  the identification of a 10-30 year lag between solar forcing  and temperature response, underlining the importance of  indirect sun-climate mechanisms involving ocean-induced  changes in atmospheric circulation. Solar contribution  to temperature change became less important during  industrial period 1850-2000 in the Altai region.
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#	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
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#	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 (SNSF), Marie-Heim VÃÂ¶gtlin program
#	Grant: PMPD2-110174
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#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
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# Site_Information
#	Site_Name: Gomez, Antarctic Peninsula
#	Location: Antarctica
#	Country: 
#	Northernmost_Latitude: 49.8072
#	Southernmost_Latitude: 49.8072
#	Easternmost_Longitude: 86.5786
#	Westernmost_Longitude: 86.5786
#	Elevation: 4062 m
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# Data_Collection
#	Collection_Name: 09Alta01
#	Earliest_Year: 1255
#	Most_Recent_Year: 1975
#	Time_Unit: y_ad
#	Notes: {"database":"LMR"} 
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# Variables
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# 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) 
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##age	age,,,years AD,,,,,N
##d18O	delta 18 oxygen,,,permil SMOW,,Ice Cores,,,N
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing values: NAN
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age	d18O
1975	-11.95
1965	-12.6
1955	-12.69
1945	-12.43
1935	-13.58
1925	-13.56
1915	-13.42
1905	-12.98
1895	-12.38
1885	-13.21
1875	-13.67
1865	-13.39
1855	-14.67
1845	-14.02
1835	-14.15
1825	-14.89
1815	-13.97
1805	-13.59
1795	-13.23
1785	-13.8
1775	-13.95
1765	-14.99
1755	-15.15
1745	-16.3
1735	-15.19
1725	-14.74
1715	-15.64
1705	-15.38
1695	-15.54
1685	-14.57
1675	-15.06
1665	-15.14
1655	-14.49
1645	-13.99
1635	-13.95
1625	-14.15
1615	-14.44
1605	-13.73
1595	-14.65
1585	-13.76
1575	-14.26
1565	-14.2
1555	-15.36
1545	-14.51
1535	-15.1
1525	-16.22
1515	-15.31
1505	-13.71
1495	-13.74
1485	-14.58
1475	-16.58
1465	-14.18
1455	-16.98
1445	-15.11
1435	-13.78
1425	-14.46
1415	-15.21
1405	-13.84
1395	-13.05
1385	-15.52
1375	-14.19
1365	-15.14
1355	-14.88
1345	-13.35
1335	-14.4
1325	-15.72
1315	-15.48
1305	-14.02
1295	-15.12
1285	-13.89
1275	-14.06
1265	-14.29
1255	-14.62