HR: 11:20h
AN: A52D-04    [Abstracts]
TI: Biomass burning source characterization requirements in air quality models with and without data assimilation: challenges and opportunities
AU: * Hyer, E J
EM: edward.hyer@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, United States
AU: Zhang, J L
EM: jzhang@atmos.und.edu
AF: Department of Atmospheric Science, University of North Dakota, 4149 University Avenue, Grand Forks, ND 58202, United States
AU: Reid, J S
EM: jeffrey.reid@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, United States
AU: Curtis, C A
EM: cynthia.curtis@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, United States
AU: Westphal, D L
EM: douglas.westphal@nrlmry.navy.mil
AF: Naval Research Laboratory, 7 Grace Hopper Avenue, Monterey, CA 93943, United States
AB: Quantitative models of the transport and evolution of atmospheric pollution have graduated from the laboratory to become a part of the operational activity of forecast centers. Scientists studying the composition and variability of the atmosphere put great efforts into developing methods for accurately specifying sources of pollution, including natural and anthropogenic biomass burning. These methods must be adapted for use in operational contexts, which impose additional strictures on input data and methods. First, only input data sources available in near real-time are suitable for use in operational applications. Second, operational applications must make use of redundant data sources whenever possible. This is a shift in philosophy: in a research context, the most accurate and complete data set will be used, whereas in an operational context, the system must be designed with maximum redundancy. The goal in an operational context is to produce, to the extent possible, consistent and timely output, given sometimes inconsistent inputs. The Naval Aerosol Analysis and Prediction System (NAAPS), a global operational aerosol analysis and forecast system, recently began incorporating assimilation of satellite-derived aerosol optical depth. Assimilation of satellite AOD retrievals has dramatically improved aerosol analyses and forecasts from this system. The use of aerosol data assimilation also changes the strategy for improving the smoke source function. The absolute magnitude of emissions events can be refined through feedback from the data assimilation system, both in real- time operations and in post-processing analysis of data assimilation results. In terms of the aerosol source functions, the largest gains in model performance are now to be gained by reducing data latency and minimizing missed detections. In this presentation, recent model development work on the Fire Locating and Monitoring of Burning Emissions (FLAMBE) system that provides smoke aerosol boundary conditions for NAAPS is described, including redundant integration of multiple satellite platforms and development of feedback loops between the data assimilation system and smoke source.
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 0478 Pollution: urban, regional and global (0345, 4251)
DE: 1622 Earth system modeling (1225)
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting