Articles | Volume 16, issue 18
Research article
29 Sep 2016
Research article |  | 29 Sep 2016

Interannual variability of ammonia concentrations over the United States: sources and implications

Luke D. Schiferl, Colette L. Heald, Martin Van Damme, Lieven Clarisse, Cathy Clerbaux, Pierre-François Coheur, John B. Nowak, J. Andrew Neuman, Scott C. Herndon, Joseph R. Roscioli, and Scott J. Eilerman

Data sets

Global distributions, time series and error characterization of atmospheric ammonia (NH3) from IASI satellite observations M. Van Damme, L. Clarisse, C. L. Heald, D. Hurtmans, Y. Ngadi, C. Clerbaux, A. J. Dolman, J. W. Erisman, and P. F. Coheur

AMoN data, Bi-weekly samples, average of replicates NADP

ICARTT NOAA WP-3D aircraft data, Chemical Sciences Division NOAA ESRL

TexAQS NOAA WP-3D aircraft data NOAA ESRL

CalNex NOAA WP-3D aircraft data NOAA ESRL

DISCOVER-AQ CA P-3B aircraft data NASA LaRC

SENEX NOAA WP-3D aircraft data NOAA ESRL

FRAPPE NCAR C130 aircraft data NASA LaRC

NASS QuickStats USDA

IMPROVE aerosol data Federal Land Manager Environmental Database (FED)

Short summary
This study combines new observations and a simulation to assess the interannual variability of atmospheric ammonia concentrations over the United States. The model generally underrepresents the observed variability. Nearly two-thirds of the simulated variability is caused by meteorology, twice that caused by regulations on fossil fuel combustion emissions. Adding ammonia emissions variability does not substantially improve the simulation and has little impact on summer particle concentrations.
Final-revised paper