# PAGES2k Global Common Era Mean Surface Temperature Reconstructions 
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#                World Data Service for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#             National Centers for Environmental Information (NCEI)
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# Template Version 3.0
# Encoding: UTF-8
# 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. 
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/26872 
#       Description: NOAA Landing Page
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/neukom2019temp/readme-pages2k2019temp.txt 
#       Description: NOAA location of the template
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# Original_Source_URL: https://doi.org/10.6084/m9.figshare.c.4498373.v1 
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Climate Reconstructions
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# Dataset DOI: 
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# Parameter_Keywords: air temperature
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# Contribution_Date
#	Date: 2019-07-24
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# File_Last_Modified_Date
#	Date: 2019-07-24
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# Title
#	Study_Name: PAGES2k Global Common Era Mean Surface Temperature Reconstructions 
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# Investigators
#	Investigators: Neukom, R.; Barboza, L.A.; Erb, M.P.; Shi, F.; Emile-Geay, J.; Evans, M.N.; Franke, J.; Kaufman, D.S.; Lücke, L.; Rehfeld, K.; Schurer, A.; Zhu, F.; Brönnimann, S.; Hakim, G.J.; Henley, B.J.; Ljungqvist, F.C.; McKay, N.; Valler, V.; von Gunten, L.
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# Description_Notes_and_Keywords
#	Description: Multiproxy global mean April-March annual average temperature reconstructions for the Commom Era. 
#	Reconstructions are text array files in the folder /recons/; all reconstruction data files also contained in file recons.zip 
#	Input files are in the folder /input/; all input data files are also contained in the file input.zip
#	See Supplementary Materials for details. 2-Oct-2023: pages2k_ngeo19_recons.nc updated to remove duplicate CPS_new data.	  
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# Publication 
#	Authors: PAGES2k Consortium: Raphael Neukom, Luis A. Barboza, Michael P. Erb, Feng Shi, Julien Emile-Geay, 
# 	Michael N. Evans, Jörg Franke, Darrell S. Kaufman, Lucie Lücke, Kira Rehfeld, Andrew Schurer, Feng Zhu, Stefan Brönnimann, 
# 	Gregory J. Hakim, Benjamin J. Henley, Fredrik Charpentier Ljungqvist, Nicholas McKay, Veronika Valler, Lucien von Gunten
#	Published_Date_or_Year: 2019-07-24     
#	Published_Title: Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era
#	Journal_Name: Nature Geoscience
#	Volume: 12
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#	Pages:
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#	DOI: 10.1038/s41561-019-0400-0
#	Online_Resource: https://www.nature.com/articles/s41561-019-0400-0
#	Full_Citation: 
#	Abstract: Multidecadal surface temperature changes may be forced by natural as well as anthropogenic factors, or arise unforced from the climate system. Distinguishing these factors is essential for estimating sensitivity to multiple climatic forcings and the amplitude of the unforced variability. Here we present 2,000-year-long global mean temperature reconstructions using seven different statistical methods that draw from a global collection of temperature-sensitive palaeoclimate records. Our reconstructions display synchronous multidecadal temperature fluctuations that are coherent with one another and with fully forced millennial model simulations from the Coupled Model Intercomparison Project Phase 5 across the Common Era. A substantial portion of pre-industrial (1300-1800 ce) variability at multidecadal timescales is attributed to volcanic aerosol forcing. Reconstructions and simulations qualitatively agree on the amplitude of the unforced global mean multidecadal temperature variability, thereby increasing confidence in future projections of climate change on these timescales. The largest warming trends at timescales of 20 years and longer occur during the second half of the twentieth century, highlighting the unusual character of the warming in recent decades.
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# Funding_Agency 
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# Site_Information 
#	Site_Name: Global 
#	Location: Geographic Region>Global
#	Country:  
#	Northernmost_Latitude: 90
# 	Southernmost_Latitude: -90
# 	Easternmost_Longitude: 180
# 	Westernmost_Longitude: -180
# 	Elevation:  
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# Data_Collection   
#	Collection_Name: PAGES2k2019temperature 
#	Earliest_Year: 1
#	Most_Recent_Year: 2000
#	Time_Unit:  Year CE
#	Core_Length: 
#	Notes: 
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# Chronology_Information
#	Chronology: 
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# Variables 
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# Data variables follow are preceded by "##" in columns one and two.
# Data line variables format:  one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) 
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## age_CE	age, , , years CE, , , , ,N,
## temp	air temperature, , , degrees C, ,climate reconstructions, , ,N, 
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# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values:  
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age_CE	temp