XVI INQUA Congress

Paper No. 6
Presentation Time: 10:10 AM

LGM DUST DISTRIBUTION AND RADIATIVE FORCING: SENSITIVITY TO VEGETATION RECONSTRUCTION


ZENDER, Charles S.1, FLANNER, Mark1 and ADAMS, Jonathan2, (1)Earth System Science, Univ of California at Irvine, ZOT 3100, Irvine, CA 92697-3100, (2)Department of Natural Resources Science, Univ of Rhode Island, Naragansett, RI 02879, zender@uci.edu

Understanding observed changes in dust deposition from the LGM to the present will improve the accuracy of predictions of future dust emissions. The plausible range of LGM vegetation distributions leads to significant uncertainty in the predicted LGM dust distribution. We investigate these uncertainties using multiple vegetation datasets in the Dust Entrainment and Deposition (DEAD) module running in the NCAR General Circulation Model. The uncertainty in dust deposition and distribution attributable to uncertainty in vegetative constraints is greatest in and downwind of Asia. We compare our model results to observations (e.g., DIRTMAP) to gain insight into the quality of the vegetation reconstructions. The range of uncertainties in dust radiative forcing and feedbacks attributable to LGM vegetation reconstruction will also be assessed.