Markus Müller, Joseph R. Roscioli, John B. Nowak, Lieven Clarisse, David W. Miller, Levi M. Golston, Amy Jo Scarino, J. Andrew Neuman, S. Eilerman, Rui Wang, Tara I. Yacovitch, Jennifer G. Murphy, Xuehui Guo, Cathy Clerbaux, Pierre-François Coheur, Da Pan, Mark A. Zondlo, Alexandra G. Tevlin, Simon Whitburn, Lei Tao, Tomas Mikoviny, Armin Wisthaler, Kang Sun, N. Kille, John D. W. Barrick, Rainer Volkamer, Lars Wendt, James H. Crawford, Bruno Franco, Martin Van Damme, Department of Civil and Environmental Engineering [Princeton], Princeton University, Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), NASA Ames Research Center (ARC), Hunterdon Central Regional High School, Department of Civil, Structural and Environmental Engineering [Buffalo], University at Buffalo [SUNY] (SUNY Buffalo), State University of New York (SUNY)-State University of New York (SUNY), Princeton Institute for the Science and Technology of Materials, Sonoma Technology, Inc., NASA Langley Research Center [Hampton] (LaRC), Oak Ridge Associated Universities (ORAU), Department of Chemistry [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Institut für Ionenphysik und Angewandte Physik - Institute for Ion Physics and Applied Physics [Innsbruck], Leopold Franzens Universität Innsbruck - University of Innsbruck, Ionicon Analytik GmbH, Department of Chemistry [University of Toronto], University of Toronto, Environment and Climate Change Canada, Aerodyne Research Inc., Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), Department of Atmospheric and Oceanic Sciences [Boulder] (ATOC), NOAA Chemical Sciences Laboratory (CSL), National Oceanic and Atmospheric Administration (NOAA), and Jupiter Intelligence
International audience; Satellite ammonia (NH3) observations provide unprecedented insights into NH3 emissions, spatiotemporal variabilities and trends, but validation with in‐situ measurements remains lacking. Here, total columns from the Infrared Atmospheric Sounding Interferometer (IASI) were intercompared to boundary layer NH3 profiles derived from aircraft‐ and surface‐based measurements primarily in Colorado, USA, in the summer of 2014. IASI‐NH3 version 3 near real‐time dataset compared well to in‐situ derived columns (windows ±15 km around centroid, ±1 hour around overpass time) with a correlation of 0.58, a slope of 0.78±0.14, and an intercept of 2.1×1015±1.5×1015 molecules cm‐2. Agreement degrades at larger spatiotemporal windows, consistent with the short atmospheric lifetime of NH3. We also examined IASI version 3R data, which relies on temperature retrievals from the ERA Reanalysis, and a third product generated using aircraft‐measured temperature profiles. The overall agreement improves slightly for both cases, and neither is biased within their combined measurement errors. Thus, spatiotemporal averaging of IASI over large windows can be used to reduce retrieval noise. Nonetheless, sampling artifacts of airborne NH3 instruments result in significant uncertainties of the in‐situ‐derived columns. For example, large validation differences exist between ascent and descent profiles, and the assumptions of the free tropospheric NH3 profiles used above the aircraft ceiling significantly impact the validation. Because short‐lived species like NH3 largely reside within the boundary layer with complex vertical structures, more comprehensive validation is needed across a wide range of environments. More accurate and widespread in‐situ NH3 datasets are therefore required for improved validations of satellite products.