Articles | Volume 17, issue 8 
            
                
                    
            
            
            https://doi.org/10.5194/amt-17-2465-2024
                    © Author(s) 2024. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-2465-2024
                    © Author(s) 2024. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
An uncertainty methodology for solar occultation flux measurements: ammonia emissions from livestock production
Johan Mellqvist
CORRESPONDING AUTHOR
                                            
                                    
                                            Department of Space, Earth and Environment, Chalmers University of Technology, Göteborg, Sweden
                                        
                                    Nathalia T. Vechi
                                            Department of Space, Earth and Environment, Chalmers University of Technology, Göteborg, Sweden
                                        
                                    
                                            Department of Environmental and Resource Engineering, Technical University of Denmark, Lyngby, Denmark
                                        
                                    Charlotte Scheutz
                                            Department of Environmental and Resource Engineering, Technical University of Denmark, Lyngby, Denmark
                                        
                                    Marc Durif
                                            INERIS, Verneuil-en-Halatte, France
                                        
                                    Francois Gautier
                                            INERIS, Verneuil-en-Halatte, France
                                        
                                    John Johansson
                                            FluxSense AB, Göteborg, Sweden
                                        
                                    Jerker Samuelsson
                                            FluxSense AB, Göteborg, Sweden
                                        
                                    Brian Offerle
                                            FluxSense AB, Göteborg, Sweden
                                        
                                    Samuel Brohede
                                            FluxSense AB, Göteborg, Sweden
                                        
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                                        Jörg Beecken, Andreas Weigelt, Simone Griesel, Johan Mellqvist, Alexander V. Conde Jacobo, Daniëlle van Dinther, Jan Duyzer, Jon Knudsen, Bettina Knudsen, and Leonidas Ntziachristos
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                                                This study investigates the level of channeling (optical resonances) of each FTIR spectrometer within the Network for the Detection of Atmospheric Composition Change (NDACC). Since the air gap of the beam splitter is a significant source of channeling, we propose new beam splitters with an increased wedge of the air gap. This study shows the potential for reducing channeling in the FTIR spectrometers operated by the NDACC, thereby increasing the quality of recorded spectra across the network.
                                            
                                            
                                        Cited articles
                        
                        Asman, W. A. H.: Factors influencing local dry deposition of gases with special reference to ammonia, Atmos. Environ., 32, 415–421, https://doi.org/10.1016/S1352-2310(97)00166-0, 1998. 
                    
                
                        
                        EDGAR database: EDGAR – Emissions Database for Global Atmospheric Research Air and Toxic pollutants, https://edgar.jrc.ec.europa.eu/air_pollutants (last access: February 2022), 2023. 
                    
                
                        
                        Eilerman, S. J., Peischl, J., Neuman, J. A., Ryerson, T. B., Aikin, K. C., Holloway, M. W., Zondlo, M. A., Golston, L. M., Pan, D., Floerchinger, C., and Herndon, S.: Characterization of Ammonia, Methane, and Nitrous Oxide Emissions from Concentrated Animal Feeding Operations in Northeastern Colorado, Environ. Sci. Technol., 50, 10885–10893, https://doi.org/10.1021/acs.est.6b02851, 2016. 
                    
                
                        
                        European standard: EN 17628:2022, https://www.sis.se/api/document/preview/80034943/ (last access: February 2022), 2022. 
                    
                
                        
                        Galle, B. O., Samuelsson, J., Svensson, B. H., and Borjesson, G.: Measurements of methane emissions from landfills using a time correlation tracer method based on FTIR absorption spectroscopy, Environ. Sci. Technol., 35, 21–25, https://doi.org/10.1021/es0011008, 2001. 
                    
                
                        
                        Galloway, J. N., Aber, J. D., Erisman, J. W., Seitzinger, S. P., Howarth, R. W., Cowling, E. B., and Cosby, B. J.: The nitrogen cascade, Bioscience, 53, 341–356, https://doi.org/10.1641/0006-3568(2003)053[0341:TNC]2.0.CO;2, 2003. 
                    
                
                        
                        Golston, L. M., Pan, D., Sun, K., Tao, L., Zondlo, M. A., Eilerman, S. J., Peischl, J., Neuman, J. A., and Floerchinger, C.: Variability of Ammonia and Methane Emissions from Animal Feeding Operations in Northeastern Colorado, Environ. Sci. Technol., 54, 11015–11024, https://doi.org/10.1021/acs.est.0c00301, 2020. 
                    
                
                        
                        Griffith, D. W. T.: Synthetic calibration and quantitative analysis of gas-phase FT-IR spectra, Appl. Spectrosc., 50, 59–70, https://doi.org/10.1366/0003702963906627, 1996. 
                    
                
                        
                        Guo, X., Wang, R., Pan, D., Zondlo, M. A., Clarisse, L., Van Damme, M., Whitburn, S., Coheur, P. F., Clerbaux, C., Franco, B., Golston, L. M., Wendt, L., Sun, K., Tao, L., Miller, D., Mikoviny, T., Müller, M., Wisthaler, A., Tevlin, A. G., Murphy, J. G., Nowak, J. B., Roscioli, J. R., Volkamer, R., Kille, N., Neuman, J. A., Eilerman, S. J., Crawford, J. H., Yacovitch, T. I., Barrick, J. D., and Scarino, A. J.: Validation of IASI Satellite Ammonia Observations at the Pixel Scale Using In Situ Vertical Profiles, J. Geophys. Res.-Atmos., 126, 1–23, https://doi.org/10.1029/2020JD033475, 2021. 
                    
                
                        
                        Hristov, A. N., Hanigan, M., Cole, A., Todd, R., McAllister, T. A., Ndegwa, P. M., and Rotz, A.: Review: Ammonia emissions from dairy farms and beef feedlots, Can. J. Anim. Sci., 91, 1–35, https://doi.org/10.4141/CJAS10034, 2011. 
                    
                
                        
                        Johansson, J., Mellqvist, J., Samuelsson, J., Offerle, B., Andersson, P., Lefer, B., Flynn, J., and Zhuoyan, S.: Quantification of industrial emissions of VOCs, NO2 and SO2 by SOF and Mobile DOAS during DISCOVER-AQ, 2, 1–71, https://research.chalmers.se/en/publication/540618 (last access: February 2022), 2013. 
                    
                
                        
                        Johansson, J., Mellqvist, J., Samuelsson, J., Offerle, B., Lefer, B., Rappenglück, B., Flynn, J., and Yarwood, G.: Emission measurements of alkenes, alkanes, SO2 and NO2 from stationary sources in southeast Texas over a 5 year period using SOF and Mobile DOAS, J. Geophys. Res., 119, 1–8, https://doi.org/10.1002/2013JD020485, 2014. 
                    
                
                        
                        Joint Committee For Guides In Metrology: Evaluation of measurement data – Guide to the expression of uncertainty in measurement, Int. Organ. Stand. Geneva ISBN, 50(September), 134 http://www.bipm.org/en/publications/guides/gum.html (last access: February 2022), 2008. 
                    
                
                        
                        Kihlman, M.: Application of Solar FTIR Spectroscoy for Quantingfying Gas Emissions, Chalmers University of Technology, Gothenburg, Sweden, 1–115 pp., 2005. 
                    
                
                        
                        Kille, N., Baidar, S., Handley, P., Ortega, I., Sinreich, R., Cooper, O. R., Hase, F., Hannigan, J. W., Pfister, G., and Volkamer, R.: The CU mobile Solar Occultation Flux instrument: structure functions and emission rates of NH3, NO2 and C2H6, Atmos. Meas. Tech., 10, 373–392, https://doi.org/10.5194/amt-10-373-2017, 2017. 
                    
                
                        
                        Kille, N., Zarzana, K. J., Romero Alvarez, J., Lee, C. F., Rowe, J. P., Howard, B., Campos, T., Hills, A., Hornbrook, R. S., Ortega, I., Permar, W., Ku I, T., Lindaas, J., Pollack, I. B., Sullivan, A. P., Zhou, Y., Fredrickson, C. D., Palm, B. B., Peng, Q., Apel, E. C., Hu, L., Collett Jr., J. L., Fischer, E. V., Flocke, F., Hannigan, J. W., Thornton, J., and Volkamer, R.: The CU airborne solar occultation flux instrument: Performance evaluation during BB-flux, ACS Earth Space Chem., 6, 582–596, 2022 
                    
                
                        
                        Kleiner, I., Tarrago, G., Cottaz, C., Sagui, L., Brown, L. R., Poynter, R. L., Pickett, H. M., Chen, P., Pearson, J. C., Sams, R. L., Blake, G. A., Matsuura, S., Nemtchinov, V., Varanasi, P., Fusina, L., and Di Lonardo, G.: NH3 and PH3 line parameters: The 2000 HITRAN update and new results, J. Quant. Spectrosc. Ra., 82, 293–312, https://doi.org/10.1016/S0022-4073(03)00159-6, 2003. 
                    
                
                        
                        Lassman, W., Collett, J. L., Ham, J. M., Yalin, A. P., Shonkwiler, K. B., and Pierce, J. R.: Exploring new methods of estimating deposition using atmospheric concentration measurements: A modeling case study of ammonia downwind of a feedlot, Agric. For. Meteorol., 290, 1–14, https://doi.org/10.1016/j.agrformet.2020.107989, 2020. 
                    
                
                        
                        Leifer, I., Melton, C., Tratt, D. M., Buckland, K. N., Clarisse, L., Coheur, P., Frash, J., Gupta, M., Johnson, P. D., Leen, J. B., Van Damme, M., Whitburn, S., and Yurganov, L.: Remote sensing and in situ measurements of methane and ammonia emissions from a megacity dairy complex: Chino, CA, Environ. Pollut., 221, 37–51, https://doi.org/10.1016/j.envpol.2016.09.083, 2017. 
                    
                
                        
                        Leifer, I., Melton, C., Tratt, D. M., Buckland, K. N., Chang, C. S., Frash, J., Hall, J. L., Kuze, A., Leen, B., Clarisse, L., Lundquist, T., Van Damme, M., Vigil, S., Whitburn, S., and Yurganov, L.: Validation of mobile in situ measurements of dairy husbandry emissions by fusion of airborne/surface remote sensing with seasonal context from the Chino Dairy Complex, Environ. Pollut., 242, 2111–2134, https://doi.org/10.1016/j.envpol.2018.03.078, 2018. 
                    
                
                        
                        Lonsdale, C. R., Hegarty, J. D., Cady-Pereira, K. E., Alvarado, M. J., Henze, D. K., Turner, M. D., Capps, S. L., Nowak, J. B., Neuman, J. A., Middlebrook, A. M., Bahreini, R., Murphy, J. G., Markovic, M. Z., VandenBoer, T. C., Russell, L. M., and Scarino, A. J.: Modeling the diurnal variability of agricultural ammonia in Bakersfield, California, during the CalNex campaign, Atmos. Chem. Phys., 17, 2721–2739, https://doi.org/10.5194/acp-17-2721-2017, 2017. 
                    
                
                        
                        Mellqvist, J., Samuelsson, J., and Rivera, C.: HARC Project H-53 Measurements of industrial emissions of VOCs, NH3, NO2 and SO2 in Texas using the Solar Occultation Flux method and mobile DOAS, 2007, 1–69, 2007. 
                    
                
                        
                        Mellqvist, J., Samuelsson, J., Johansson, J., Rivera, C., Lefer, B., Alvarez, S., and Jolly, J.: Measurements of industrial emissions of alkenes in Texas using the solar occultation flux method, J. Geophys. Res., 115, D00F17, https://doi.org/10.1029/2008JD011682, 2010. 
                    
                
                        
                        Miller, D. J., Sun, K., Tao, L., Pan, D., Zondlo, M. A., Nowak, J. B., Liu, Z., Diskin, G., Sachse, G., Beyersdorf, A., Ferrare, R., and Scarino, A. J.: Ammonia and methane dairy emission plumes in the San Joaquin valley of California from individual feedlot to regional scales, J. Geophys. Res., 120, 9718–9738, https://doi.org/10.1002/2015JD023241, 2015. 
                    
                
                        
                        Nowak, J. B., Neuman, J. A., Bahreini, R., Middlebrook, A. M., Holloway, J. S., McKeen, S. A., Parrish, D. D., Ryerson, T. B., and Trainer, M.: Ammonia sources in the California South Coast Air Basin and their impact on ammonium nitrate formation, Geophys. Res. Lett., 39, 6–11, https://doi.org/10.1029/2012GL051197, 2012. 
                    
                
                        
                        Rothman, L. S., Jacquemart, D., Barbe, A., Benner, D. C., Birk, M., Brown, L. R., Carleer, M. R., Chackerian Jr., C., Chance, K., Coudert, L. H., Dana, V., Devi, V. M., Flaud, J.M., Gamache, R. R., Goldman, A., Hartmann, J.-M., Jucks, K. W., Maki, A. G., Mandin, J.-Y., Massie, S. T., Orphal, J., Perrin, A., Rinsland, C. P., Smith, M. A. H., Tennyson, J., Tolchenov, R. N., Toth, R. A., Vander Auwera, J., Varanasi, P., and Wagner, G.: The HITRAN 2004 molecular spectroscopic database, J. Quant. Spectrosc. Ra., 96, 139–204, 2005. 
                    
                
                        
                        Rowe, J. P., Zarzana, K. J., Kille, N., Borsdorff, T., Goudar, M., Lee, C. F., Koening, T. K., Romero-Alvarez, J., Campos, T., Knote, C., Theys, N., Landgraf, J., and Volkamer, R.: Carbon monoxide in optically thick wildfire smoke: Evaluating TROPOMI using CU Airborne SOF column observations, ACS Earth Space Chem., 6, 1799–1812, 2022. 
                    
                
                        
                        Rzeźnik, W. and Mielcarek, P.: Greenhouse gases and ammonia emission factors from livestock buildings for pigs and dairy cows, Polish J. Environ. Stud., 25, 1813–1821, https://doi.org/10.15244/pjoes/62489, 2016. 
                    
                
                        
                        Sun, K., Tao, L., Miller, D. J., Zondlo, M. A., Shonkwiler, K. B., Nash, C., and Ham, J. M.: Open-path eddy covariance measurements of ammonia fluxes from a beef cattle feedlot, Agric. For. Meteorol., 213, 193–202, https://doi.org/10.1016/j.agrformet.2015.06.007, 2015a. 
                    
                
                        
                        Sun, K., Cady-Pereira, K., Miller, D. J., Tao, L., Zondlo, M. A., Nowak, J. B., Neuman, J. A., Mikoviny, T., Müller, M., Wisthaler, A., Scarino, A. J., and Hostetler, C. A.: Validation of TES ammonia observations at the single pixel scale in the san joaquin valley during DISCOVER-AQ, J. Geophys. Res., 120, 5140–5154, https://doi.org/10.1002/2014JD022846, 2015b. 
                    
                
                        
                        Tucker, S. C., Brewer, W. A., Banta, R. M., Senff, C. J., Sandberg, S. P., Law, D. C., Weickmann, A. M., and Hardesty, R. M.: Doppler lidar estimation of mixing height using turbulence, shear, and aerosol profiles, J. Atmos. Ocean. Technol., 26, 673–688, https://doi.org/10.1175/2008JTECHA1157.1, 2009. 
                    
                
                        
                        Twigg, M. M., Berkhout, A. J. C., Cowan, N., Crunaire, S., Dammers, E., Ebert, V., Gaudion, V., Haaima, M., Häni, C., John, L., Jones, M. R., Kamps, B., Kentisbeer, J., Kupper, T., Leeson, S. R., Leuenberger, D., Lüttschwager, N. O. B., Makkonen, U., Martin, N. A., Missler, D., Mounsor, D., Neftel, A., Nelson, C., Nemitz, E., Oudwater, R., Pascale, C., Petit, J.-E., Pogany, A., Redon, N., Sintermann, J., Stephens, A., Sutton, M. A., Tang, Y. S., Zijlmans, R., Braban, C. F., and Niederhauser, B.: Intercomparison of in situ measurements of ambient NH3: instrument performance and application under field conditions, Atmos. Meas. Tech., 15, 6755–6787, https://doi.org/10.5194/amt-15-6755-2022, 2022.  
                    
                
                        
                        Van Damme, M., Clarisse, L., Whitburn, S., Hadji-Lazaro, J., Hurtmans, D., Clerbaux, C., and Coheur, P. F.: Industrial and agricultural ammonia point sources exposed, Nature, 564, 99–103, https://doi.org/10.1038/s41586-018-0747-1, 2018. 
                    
                
                        
                        Vechi, N. T., Mellqvist, J., Samuelsson, J., Offerle, B., and Scheutz, C.: Ammonia and methane emissions from dairy concentrated animal feeding operations in California, using mobile optical remote sensing, Atmos. Environ., 293, 119448, https://doi.org/10.1016/j.atmosenv.2022.119448, 2023. 
                    
                
                        
                        Wyer, K. E., Kelleghan, D. B., Blanes-Vidal, V., Schauberger, G., and Curran, T. P.: Ammonia emissions from agriculture and their contribution to fine particulate matter: A review of implications for human health, J. Environ. Manage., 323, 116285, https://doi.org/10.1016/j.jenvman.2022.116285, 2022. 
                    
                
                        
                        Zhu, L., Henze, D., Bash, J., Jeong, G.-R., Cady-Pereira, K., Shephard, M., Luo, M., Paulot, F., and Capps, S.: Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes, Atmos. Chem. Phys., 15, 12823–12843, https://doi.org/10.5194/acp-15-12823-2015, 2015a. 
                    
                
                        
                        Zhu, L., Henze, D. K., Bash, J. O., Cady-Pereira, K. E., Shephard, M. W., Luo, M., and Capps, S. L.: Sources and Impacts of Atmospheric NH3: Current Understanding and Frontiers for Modeling, Measurements, and Remote Sensing in North America, Curr. Pollut. Reports, 1, 95–116, https://doi.org/10.1007/s40726-015-0010-4, 2015b. 
                    
                Short summary
            The solar occultation flux method retrieves ammonia gas columns from the solar spectrum. Emissions are obtained by multiplying the integrated plume concentration by the wind speed profile. The methodology for uncertainty estimation was established considering an error budget with systematic and random components, resulting in an expanded uncertainty in the range of 20 % to 30 %. The method was validated in a controlled release, and its application was demonstrated in different farms.
            The solar occultation flux method retrieves ammonia gas columns from the solar spectrum....
            
         
 
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                        
                                         
             
             
            