Lambert, Fabrice; Tagliabue, Alessandro; Shaffer, Gary; Lamy, Frank; Winckler, Gisela; Farias, Laura; Gallardo, Laura; De Pol-Holz, Ricardo (2015): Dust fluxes and iron fertilization in Holocene and Last Glacial Maximum climates. PANGAEA, https://doi.org/10.1594/PANGAEA.847983, Supplement to: Lambert, F et al. (2015): Dust fluxes and iron fertilization in Holocene and Last Glacial Maximum climates. Geophysical Research Letters, 42(14), 6014-6023, https://doi.org/10.1002/2015GL064250
Always quote above citation when using data! You can download the citation in several formats below.
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.
The interpolated dust flux data is in a NetCDF file that can be read using most data display and analysis programs (even Excel). Instructions can be found at these locations:
The data is in a (128 x 64 x 12 x 2) matrix with dimensions (Longitude x Latitude x Time x Period). Longitude and latitude values can be read from the respective variables. Time goes from 1 to 12 and represents the months January to December. Period has the two values 0 and 1 representing the Holocene and LGM data, respectively.