A network of meteorological and chemical filterpack monitoring stations has been in operation since the summer of 1984. Additional towers have since been installed around the United States, several towers have been removed, and at present there are 13 stations actively operating as part of the dry deposition component of the Atmospheric Integrated Research Monitoring Network (AIRMoN).
... Meteorological and surface condition data are collected, and 15-minute averages are recorded. These parameters include radiation, winds (speed & direction), temperature, relative humidity, rainfall, and wetness. These data are used to infer weekly-average site-specific dry deposition velocities for sulfur dioxide, ozone, nitric acid, and sulfate using a procedure based on the resistance model of the dry deposition process. Weekly-average concentration data are obtained from the filters, using the measured sample flow rate. Concentrations of the following ions are measured: chloride; nitrate; sulfate; sodium; ammonium; potassium; magnesium; and calcium. Weekly-average dry deposition fluxes for sulfur dioxide, nitric acid, sulfates, and nitrates are then calculated from the product of the deposition velocities and the measured concentrations. The adequacy of the method is being tested by comparison to results from higher time resolution chemical monitors located at three CORE research sites. Direct eddy correlation measurements are also performed intermittently at these CORE sites as a further test of the method, and to improve the inferential model for the dry deposition velocity.
The dry deposition inferential measurement (DDIM) approach differs from previous network measurement programs in that the data sets are designed to permit extension from observations at a subset of research sites to less intensive routine measurement sites. Hence a major goal is the definition of a suitable set of supporting data from which dry deposition rates can be inferred using air concentration data.
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Province or State:
Coon, M. D. 1988. Ice monitoring during CEAREX. In: Workshop on Instrumentation and Measurements in the Polar Regions, sponsored by IEEE Oceanic Engineering Society, Marine Technology Society, Monterey Bay Aquarium, U.S. Navy and Science Applications International Corporation. Proceedings, pp. 405-409. Guest, P. S. and K. L. Davidson. 1989. CEAREX 'O' and 'A' Camp Meteorology Atlas. Naval ... Postgraduate School, NPS-63-89-007, 64 p. Martin, S. and R. Drucker. 1991. Observations of ice floe collisions during Leg-II of the POLARBJORN drift. J. Geophys. Res. 96 (C6):10567-10580. McPhee, M. G. 1988. Analysis and prediction of short Term drift. Trans. of the AMSE, J. of Offshore Mechanics and Arctic Engineering 10:94-100. Mitchell, B. G. 1991. Predictive bio-optical relationships for polar oceans and marginal ice zones. J. Marine Sys. 3(1-2):91-105. Pritchard, R. S., S. H. Bailey, C. M. Browne, M. D. Coon, D. Hoefke, G. S. Knoke, P. A. Lau, B. J. Taylor, W. D. Hib ler, III, M. Hopkins, R. G. Onstott, R. A. Schuchman, S. H. O'Hara, M. G. McPhee, J. C. Van Leer, K. L. Davidson, P. S. Guest, T. B. Curtin, J. E. Overland, D. L. Bell, H. W. Bosworth, D. A. Meese, A. J. Gow, D. K. Perovich, W. B. Tucker, R. Colony, T. C. Grenfell, S. Martin, and J. S. Wettlaufer. 1990. CEAREX drift experiment. EOS, Trans. Am. Geophys. Union 71(40):1115-1118. Pritchard, R. S. 1989. Eastern Arctic ambient noise. In: Oceans '89 4:1246-1251. IEEE Pub. No. 89CH2780-5. Tucker, W. B., D. K. Perovich, M. A. Hopkins, and W. D. Hibler. 1991. On the relationship between local stresses and strains in Arctic pack ice. Annals of Glaciology 15:265-270. Von der Heydt, K., N. R. Galbraith, A. B. Baggeroer, R. Muench, P. S. Guest, and K. L. Davidson. 1991. CEAREX 'A' - Camp: Navigation, Bathymetry, CTD, Meteorology, and LOFAR Data Report. Woods Hole Oceanographic Institution. Technical memorandum No. WHOI-1-91, 152 pp.