HR: 1340h
AN: A53B-1152    [Abstracts]
TI: GEOSummit Baseline Measurements: Results and Interpretations of Surface Snow Elemental Concentrations
AU: * Banta, J R
EM: ryan.banta@dri.edu
AF: Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89523, United States
AU: McConnell, J R
EM: joe.mcconnell@dri.edu
AF: Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89523, United States
AU: Edwards, R
EM: ross.edwards@dri
AF: Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89523, United States
AU: Burkhart, J
EM: jburkhart@ucmerced,edu
AF: University of California, Merced, 5200 North Lake Road, Merced, CA 95343, United States
AU: Burkhart, J
EM: jburkhart@ucmerced,edu
AF: Norwegian Institute for Air Research, P.O. 100, Kieller, 2027, Norway
AU: Bales, R
EM: rbales@ucmerced.edu
AF: University of California, Merced, 5200 North Lake Road, Merced, CA 95343, United States
AB: Long term measurements of the Arctic atmosphere and surface snow provide insight to the links between aerosol and snow chemical compositions. Current research activities at the Summit Greenland Environmental Observatory (GEOSummit) include high temporal resolution year-round measurements of DRUM aerosol size and S-XRF elemental composition, ICP-MS trace element measurements of surface snow and snow pits, snow accumulation and spatial variability, and other meteorological and snow properties. Year round surface snow samples allow for better understanding of the magnitude and timing of seasonal cycles in aerosol elemental concentrations deposited from the atmosphere to the surface snow. Several elements exhibit distinct seasonal timing of maximum concentrations found in surface snow samples (e.g., sea salts are largely deposited in the winter with dust predominantly deposited in the spring). In addition, snow accumulation rates were measured over the surface snow sampling period, thus aiding the evaluation of accumulation influences as well as wet and dry deposition. Due to the high temporal sample resolution, unique events that transport dust or pollution from North America and/or Asia can be readily identified. The source regions of these unique events are identified using the Lagrangian Particle Dispersion Model (LPDM) FLEXPART. Preliminary comparisons between surface snow and continuous ice core measurements indicate that the seasonal cycle of many of the elements are well preserved in ice cores. This correlation allows for better understanding and interpretation of the elemental records in ice cores, as well as reconstructing past atmospheric conditions from the elemental records.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0724 Ice cores (4932)
DE: 0736 Snow (1827, 1863)
DE: 0776 Glaciology (1621, 1827, 1863)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting