Citation:

SZYKMAN, J., B. ROY, C. KITTAKA, T. PIERCE, R. PIERCE, AND J. GODOWITCH. COMPARISON OF CMAQ DERIVED CARBON MONOXIDE COLUMNS WITH MOPITT CARBON MONOXIDE DATA, SENSITIVITY TO WILDFIRE EMISSIONS. Presented at 2007 EastFIRE Conference, Fairfax, VA, June 05 - 08, 2007.

Impact/Purpose:

Our research objectives are to: (a) develop new methods using satellite remote sensor data for the rapid characterization of LC condition and change at regional to national scales; (b) evaluate the utility of the new NASA-EOS MODIS (Moderate Resolution Imaging Spectrometer) leaf area index (LAI) measurements for regional scale application with landscape process models (e.g., biogenic emissions and atmospheric deposition); (c) provide remote sensor derived measurement data to advance the development of the next generation of distributed landscape process-based models to provide a predictive modeling capability for important ecosystem processes (e.g., nutrients, sedimentation, pathogens, etc.); and (d) integrate in situ monitoring measurement networks with UAV and satellite based remote sensor data to provide a continuous environmental monitoring capability.

Description:

All model results need to be evaluated against observed data, no matter what the model

scale. Traditionally for air quality applications, the observed data have been limited to

concentrations measured by networks of ground stations. These are located mostly in

urban areas and almost entirely on the continents. Although essential in model evaluation,

they cannot evaluate the full 3-dimensional picture produced by the models. Other data

sources that should be explored for routine model evaluation include satellite data sets,

which can yield important information data on total column burdens and synoptic-scale

spatial distributions of the pollutants allowing for a multi-dimensional understanding of

model performance.

In this study, we investigate the use of total column CO retrievals from the MOPITT

instrument for evaluating the redistribution of the National Emissions Inventory (NEI)

emissions using the satellite-derived fire pixel count data related to fire emissions within

the U.S. EPA Community Multiscale Air Quality (CMAQ) modeling system. For a case

study period of August 2001, we apply the MOPITT averaging kernel to the CMAQ

model results before and after the redistribution of NEI emissions. Part of the analyses

will include comparisons of different species concentrations (CO, total carbon, and

PM2.5) from the base and reallocated fire emission model simulations in downwind areas

of various fire locations. In particular, concentrations along forward trajectory paths

initiated from selected grid locations with fires will be examined to highlight the impact

by the emission reallocation approach based on the satellite-derived measurements.

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