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Advances in Support of the CMAQ Bidirectional Science Option for the Estimation of Ammonia Flux from Agricultural cropland
Citation:
Cooter, E., V. Benson, AND L. Ran. Advances in Support of the CMAQ Bidirectional Science Option for the Estimation of Ammonia Flux from Agricultural cropland. Presented at 2013 Conference CMAS, Chapel Hill, NC, October 28 - 30, 2013.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Atmospheric Modeling and Analysis Division (AMAD) conducts research in support of EPA mission to protect human health and the environment. AMAD research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.
Description:
Proposed Session: Emissions Inventories, Models and processes: Last year a new CMAQ bidirectional option for the estimation of ammonia flux (emission and deposition) was released. This option essentially replaces NEI crop ammonia emissions with emissions calculated dynamically within CMAQ as a function of soil and ambient atmospheric ammonia concentrations. Soil concentrations are estimated via daily fertilizer application rate and depth information provided by the USDA Environmental Policy Integrated Climate (EPIC) model. At the time of initial release, only a single exploratory EPIC fertilizer application data set was available to support this option. A user interface which supports generation of this input by the community has now been completed (October 2013), and is available for download from CMAS. This presentation will briefly introduce the interface (see presentation by Ran et al. for more detail). Examples illustrating its application to produce CMAQ inputs at multiple spatial scales and domains, e.g., 12km CONUS, 4km CalNex and larger-scale GeosChem domains and to explore interannual variability of fertilizer applications (amount and timing), and the sensitivity of fertilizer use in response to different estimates of atmospheric N deposition will also be provided.