# Global Atmospheric CO2 Growth Rate Reconstruction over the Past Nine Centuries #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. # If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with '#' followed by a space # Data lines have no '#' # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/44542 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-forcing-44542.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Climate Forcing # # Dataset_DOI: # # Science_Keywords: carbon cycle #--------------------------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/climate_forcing/zhang2026/zhang2026-global-cgr.txt # Data_Download_Description: NOAA Template File; Global Carbon Growth Rate Reconstruction Data # #--------------------------------------- # Contribution_Date # Date: 2026-03-26 #--------------------------------------- # File_Last_Modified_Date # Date: 2026-03-26 #--------------------------------------- # Title # Study_Name: Global Atmospheric CO2 Growth Rate Reconstruction over the Past Nine Centuries #--------------------------------------- # Investigators # Investigators: Zhang, X.; Li, J.; Liu, L. #--------------------------------------- # Description_Notes_and_Keywords # Description: This study presents a CGR reconstruction using the principal components regression method from the PAGES2k Global 2,000 Year Multiproxy Database (https://www.ncdc.noaa.gov/paleo/study/21171 ) over the past nine centuries. # Provided Keywords: carbon growth rate #--------------------------------------- # Publication # Authors: Zhang, X., Li, J. and Liu, L. # Published_Date_or_Year: 2026 # Published_Title: Annually resolved atmospheric CO2 growth rate over the past nine centuries # Journal_Name: Nature Communications # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: 10.1038/s41467-026-72220-2 # Online_Resource: # Full_Citation: # Abstract: Interannual atmospheric CO2 growth rate (CGR), mostly resulting from fluctuating carbon uptake in terrestrial biosphere, is a key determinant of atmospheric CO2 concentration. However, CGR observations are merely available in recent decades, which are unable to fully reveal its natural variability and interactions with terrestrial ecosystems and climatic drivers. Here we present a reconstruction of interannual CGR over the past nine centuries (1100-2006) based on a globally distributed temperature-sensitive proxy network. The reconstruction is validated by the comparison with dynamic global vegetation model simulations and the El Niño-Southern Oscillation. Our data reveal a close association of CGR variability with atmospheric CO2 concentration and tropical climate. Present CGR variability is unprecedentedly high over the past nine centuries, suggestive of the instability of present carbon cycle and the reducing resilience of atmospheric carbon balance under intensifying anthropogenic forcing. Our record provides a pre-industrial constraint for perceiving the climate-carbon coupling under historical climate forcings. #--------------------------------------- # Funding_Agency # Funding_Agency_Name: National Key Research and Development Program of China # Grant: 2018YFA0605601 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: Research Grants Council of Hong Kong # Grant: 17317722 #--------------------------------------- # Funding_Agency # Funding_Agency_Name: University of Hong Kong # Grant: Seed Fund 2302101685 #--------------------------------------- # Site_Information # Site_Name: Global # Location: Global # Northernmost_Latitude: 90 # Southernmost_Latitude: -90 # Easternmost_Longitude: 180 # Westernmost_Longitude: -180 # Elevation_m: #--------------------------------------- # Data_Collection # Collection_Name: Global carbon growth rate Zhang2026 # First_Year: 1100 # Last_Year: 2006 # Time_Unit: year Common Era # Core_Length_m: # Parameter_Keywords: carbon dioxide # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by "##" in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## year age,,,year Common Era,,Climate Forcing,,,N, ## CGR carbon dioxide,,,parts per million per year,annual,Climate Forcing,,,N,ensemble median of carbon growth rate reconstruction ## CGR_L carbon dioxide,,95% confidence interval lower bound,parts per million per year,annual,Climate Forcing,,,N,lower bound of carbon growth rate reconstruction ## CGR_U carbon dioxide,,95% confidence interval upper bound,parts per million per year,annual,Climate Forcing,,,N,upper bound of carbon growth rate reconstruction #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA year CGR CGR_L CGR_U 1100 0.248480083 -0.2984 0.787149237 1101 -0.526273765 -1.13601 0.036420389 1102 0.401912998 -0.13897 0.968837118 1103 -0.117278669 -0.6648 0.412020504 1104 0.326851519 -0.24723 0.912874782 1105 -0.155520728 -0.68565 0.453963305 1106 0.013175908 -0.53773 0.653481682 1107 -0.466756616 -1.02977 0.084092724 1108 0.006142373 -0.54453 0.631063506 1109 0.069415247 -0.46446 0.596136448 1110 0.311870924 -0.25903 0.936812186 1111 0.179596556 -0.44798 0.826830807 1112 -0.364946007 -0.94251 0.234957655 1113 -0.119045972 -0.66751 0.383626419 1114 -0.070975019 -0.64213 0.447774602 1115 0.510176685 -0.0485 1.096988045 1116 -0.022003065 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