noaa-model-21331 Last Glacial Maximum and Preindustrial Iron Flux Global Ocean Model Results Muglia, J.; Somes, C.J.; Nickelsen, L.; Schmittner, A. Last Glacial Maximum and Preindustrial Iron Flux Global Ocean Model Results 2017-01-31 NCDC-Paleoclimatology ONLINE Files Pending https://www.ncdc.noaa.gov/paleo/study/21331 Investigator J. Muglia Investigator C.J. Somes Investigator L. Nickelsen Investigator A. Schmittner earth science paleoclimate paleoclimatic modeling latitude,null,null,degree north,null,paleoclimatic modeling,null,null,N,null earth science paleoclimate paleoclimatic modeling dissolved inorganic carbon,sea surface,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,null earth science paleoclimate paleoclimatic modeling biomass burning,null,null,kilogram per second,annual,paleoclimatic modeling,null,null,N,null earth science paleoclimate paleoclimatic modeling primary productivity,null,null,kilogram per second,annual,paleoclimatic modeling,null,null,N,total net primary productivity earth science paleoclimate paleoclimatic modeling soil respiration,null,null,kilogram per second,annual,paleoclimatic modeling,null,null,N,for 14C earth science paleoclimate paleoclimatic modeling phosphate,sea water,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,phosphate content earth science paleoclimate paleoclimatic modeling nitrate,sea water,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,null earth science paleoclimate paleoclimatic modeling diazotroph,sea water,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,mole N per cubic meter earth science paleoclimate paleoclimatic modeling dissolved organic nitrogen,sea water,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,DON15 earth science paleoclimate paleoclimatic modeling phytoplankton,sea water,null,mole per cubic meter,annual,paleoclimatic modeling,null,null,N,phytoplankton c13; 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grazing rate on detritus earth science paleoclimate paleoclimatic modeling excretion,null,null,mole per cubic meter per second,null,paleoclimatic modeling,null,null,N,mol N m-3 s-1 earth science paleoclimate paleoclimatic modeling grazing,null,null,mole per cubic meter per second,null,paleoclimatic modeling,null,null,N,mol N m-3 s-1; grazing rate on diazotrophs earth science paleoclimate paleoclimatic modeling precipitation,null,null,kilogram per square meter per second,annual,paleoclimatic modeling,null,null,N,null earth science paleoclimate paleoclimatic modeling top-of-atmosphere net downward radiation,null,null,watt per square meter,annual,paleoclimatic modeling,null,null,N,net TOA radiation earth science paleoclimate model ocean model geoscientificInformation Last Glacial Maximum Complete -80 90 -180 180 Geographic Region Global Ocean Global Ocean>LATITUDE >LONGITUDE None Please cite original publication, online resource, dataset and publication DOIs (where available), and date accessed when using downloaded data. 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Boulder CO 80305-3328 USA online ASCII Muglia, Juan, Christopher Somes, Levin Nickelsen, and Andreas Schmittner 2017 Paleoceanography submitted

Changes in the ocean iron cycle during the Last Glacial Maximum (LGM) have been proposed to help explain the low atmospheric CO2 from this period. Previous global modeling studies, however, have only considered changes in aeolian iron fluxes, although it is known that sedimentary and hydrothermal fluxes are important iron sources for today's ocean. Here we evaluate the effect of preindustrial-to-LGM changes in atmospheric dust, sedimentary, and hydrothermal fluxes on the ocean's iron and carbon cycles in a global coupled biogeochemical circulation model. Considering variable iron solubility we find that higher dust fluxes into the ocean in the LGM increase productivity and enhance the biological pump, sequestering carbon in deep waters and lowering CO2 by 4 ppm. The effect is countered by a decrease in sedimentary release of iron due to lower sea level, which increases CO2 by 15 ppm. In an upper-limit estimation of Southern Ocean surface iron fertilization, assuming a 10 times higher solubility for this region, combined with changes in sedimentary release we find an increase in deep dissolved inorganic carbon concentrations, that could potentially reduce atmospheric CO2 by 13 ppm. A five-fold increase in hydrothermal sources of iron during the LGM may have decreased atmospheric CO2 by an additional 6 ppm. We conclude that when addressing LGM-preindustrial changes in the ocean iron cycle, not only surface but also sedimentary and hydrothermal fluxes have to be taken into account. STUDY NOTES: Study contains data from LGM and Preindustrial model runs. The data folders contain output files, which are tavg and tsi netcdf files. The rest of the files are necessary to run the model, if more experiments are going to be carried out.

GET DATA https://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/muglia2017/muglia2017.txt Formatted Text File; Study Metadata GET DATA https://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/muglia2017/ Data Folder; Data and Supporting Files USA/NOAA DIF Version 9.8.4 2018-12-11 2018-12-11