# Global Holocene and Last Glacial Maximum Dust Flux Data #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #----------------------------------------------------------------------- # Template Version 2.0 # 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: https://www.ncdc.noaa.gov/paleo/study/19100 # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/climate_forcing/lambert2015/ # # Original_Source_URL: http://doi.pangaea.de/10.1594/PANGAEA.847983 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Climate Forcing # # Parameter_Keywords: Climate forcing: other, Climate Reconstructions: pseudo proxy #-------------------- # Contribution_Date # Date: 2015-08-11 #-------------------- # Title # Study_Name: Global Holocene and Last Glacial Maximum Dust Flux Data #-------------------- # Investigators # Investigators: Lambert, F.; Tagliabue, A.; Shaffer, G.; Lamy, F.; Winckler, G.; Farias, L.; Gallardo, L.; De Pol-Holz, R. #-------------------- # Description_Notes_and_Keywords # Description: Global Interpolated dust fluxes for the Holocene and Last Glacial Maximum (LGM). Data are in netCDF format file: # http://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/lambert2015/dustflux.nc # or text equivalent file from the ncdump utility: # http://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/lambert2015/dustflux.txt # netCDF header info: # netcdf dustflux { # dimensions: # lon = 128 ; # lat = 64 ; # time = 12 ; # period = 2 ; # variables: # float lon(lon) ; # lon:units = "Degrees East" ; # float lat(lat) ; # lat:units = "Degrees North" ; # float time(time) ; # time:long_name = "Months of the year" ; # float period(period) ; # period:long_name = "Time period: 0=Holocene, 1=LGM" ; # float Flux(period, time, lat, lon) ; # Flux:units = "kg/m2/s" ; # Flux:long_name = "Interpolated Dust Fluxes" ; # # // global attributes: # :Title = "Interpolated Dust Flux" ; # :Source = "Lambert et al., 2015, Geophysical Research Letters" ; # #-------------------- # Publication # Authors: Fabrice Lambert, Alessandro Tagliabue, Gary Shaffer, Frank Lamy, Gisela Winckler, Laura Farias, Laura Gallardo, and Ricardo De Pol-Holz # Published_Date_or_Year: 2015-07-24 # Published_Title: Dust fluxes and iron fertilization in Holocene and Last Glacial Maximum climates # Journal_Name: Geophysical Research Letters # Volume: 42 # Edition: # Issue: 14 # Pages: 6014-6023 # Report_Number: # DOI: 10.1002/2015GL064250 # Online_Resource: http://onlinelibrary.wiley.com/doi/10.1002/2015GL064250/abstract # Full_Citation: # Abstract: Mineral dust aerosols play a major role in present and past climates. To date, we rely on climate models for estimates of dust fluxes to calculate the impact of airborne micronutrients on biogeochemical cycles. Here we provide a new global dust flux data set for Holocene and Last Glacial Maximum (LGM) conditions based on observational data. A comparison with dust flux simulations highlights regional differences between observations and models. By forcing a biogeochemical model with our new data set and using this model's results to guide a millennial-scale Earth System Model simulation, we calculate the impact of enhanced glacial oceanic iron deposition on the LGM-Holocene carbon cycle. On centennial timescales, the higher LGM dust deposition results in a weak reduction of <10 ppm in atmospheric CO2 due to enhanced efficiency of the biological pump. This is followed by a further ~10 ppm reduction over millennial timescales due to greater carbon burial and carbonate compensation. #------------------ # Funding_Agency # Funding_Agency_Name: CONICYT # Grant: 15110009, 1151427, NC120066 #------------------ # Funding_Agency # Funding_Agency_Name: FONDECYT # Grant: 1120040 #------------------ # Site_Information # Site_Name: Global # Location: Geographic Region>Global # Country: # Northernmost_Latitude: 90.0 # Southernmost_Latitude: -90.0 # Easternmost_Longitude: 180.0 # Westernmost_Longitude: -180.0 # Elevation: m #------------------ # Data_Collection # Collection_Name: Lambert2015dust # Earliest_Year: 21000 # Most_Recent_Year: 0 # Time_Unit: Cal. Year BP # Core_Length: m # Notes: #------------------ # Chronology_Information # Chronology: # #---------------- # Variables # # Data variables follow 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) # ## lon Longitude, , , , , , , ,N ## lat Latitude, , , , , , , ,N ## time time, , , , , , , ,N ## period Period,,,,,,,,N # #