Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-529-2023
© Author(s) 2023. 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-16-529-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jan 2023
Research article |
| 27 Jan 2023
| 27 Jan 2023
Field comparison of two novel open-path instruments that measure dry deposition and emission of ammonia using flux-gradient and eddy covariance methods
Daan Swart
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Jun Zhang
Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 15, 1755 ZG, Petten, the Netherlands
Shelley van der Graaf
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Susanna Rutledge-Jonker
CORRESPONDING AUTHOR
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Arjan Hensen
Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 15, 1755 ZG, Petten, the Netherlands
Stijn Berkhout
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Pascal Wintjen
Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 15, 1755 ZG, Petten, the Netherlands
Thünen Institute of Climate-Smart Agriculture, Bundesallee 68,
38116 Braunschweig, Germany
René van der Hoff
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Marty Haaima
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Arnoud Frumau
Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 15, 1755 ZG, Petten, the Netherlands
Pim van den Bulk
Netherlands Organisation for Applied Scientific Research (TNO), P.O. Box 15, 1755 ZG, Petten, the Netherlands
Ruben Schulte
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Wageningen University & Research (WUR), P.O. Box 47, 6700 AA,
Wageningen, the Netherlands
Margreet van Zanten
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
Thomas van Goethem
National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, the Netherlands
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CrIS NH3 satellite observations are assimilated into the LOTOS-EUROS model using two different methods. In the first method the data are used to fit spatially varying NH3 emission time factors. In the second method a local ensemble transform Kalman filter is used. Compared to in situ observations, combining both methods led to the most significant improvements in the modeled concentrations and deposition, illustrating the usefulness of CrIS NH3 to improve the spatiotemporal distribution of NH3.
Cited articles
Bai, M., Suter, H., Macdonald, B., and Schwenke, G.: Ammonia, methane and
nitrous oxide emissions from furrow irrigated cotton crops from two nitrogen
fertilisers and application methods, Agr. Forest Meteorol.,
303, 108375, https://doi.org/10.1016/j.agrformet.2021.108375,
2021.
Bai, M., Loh, Z., Griffith, D. W. T., Turner, D., Eckard, R., Edis, R., Denmead, O. T., Bryant, G. W., Paton-Walsh, C., Tonini, M., McGinn, S. M., and Chen, D.: Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research, Atmos. Meas. Tech., 15, 3593–3610, https://doi.org/10.5194/amt-15-3593-2022, 2022.
Beljaars, A. C. M. and Holtslag, A. A. M.: Flux parameterization over land
surfaces for atmospheric models, J. Appl. Meteorol., 30,
327–341, https://doi.org/10.1175/1520-0450(1991)030<0327:Fpolsf>2.0.Co;2, 1991.
Berkhout, A. J. C., Swart, D. P. J., Volten, H., Gast, L. F. L., Haaima, M., Verboom, H., Stefess, G., Hafkenscheid, T., and Hoogerbrugge, R.: Replacing the AMOR with the miniDOAS in the ammonia monitoring network in the Netherlands, Atmos. Meas. Tech., 10, 4099–4120, https://doi.org/10.5194/amt-10-4099-2017, 2017.
Bosveld, F. C.: The Cabauw in-situ observational program 2000–present:
instruments, calibrations and set-up, Royal Netherlands Meteorological
Institute, De Bilt, 79 pp., Technical report TR-384, , 2020.
Bosveld, F. C., Baas, P., Beljaars, A. C. M., Holtslag, A. A. M., de
Arellano, J. V.-G., and van de Wiel, B. J. H.: Fifty years of atmospheric
boundary-layer research at Cabauw serving weather, air quality and climate,
Bound.-Lay. Meteorol., 177, 583–612, https://doi.org/10.1007/s10546-020-00541-w, 2020.
Burba, G., Anderson, T., and Komissarov, A.: Accounting for spectroscopic
effects in laser-based open-path eddy covariance flux measurements, Global
Change Biol., 25, 2189–2202, https://doi.org/10.1111/gcb.14614, 2019.
Dyer, A. J.: A review of flux-profile relationships, Bound.-Lay.
Meteorol., 7, 363–372, https://doi.org/10.1007/BF00240838, 1974.
Erisman, J. W. and Wyers, G. P.: Continuous measurements of surface exchange
of SO2 and NH3; Implications for their possible interaction in the
deposition process, Atmos. Environ. A, 27,
1937–1949, https://doi.org/10.1016/0960-1686(93)90266-2, 1993.
Erisman, J. W., Galloway, J. N., Dice, N. B., Sutton, M. A., Bleeker, A.,
Grizzetti, B., Leach, A. M., and Vries, W. D.: Nitrogen: too much of a vital
resource, Science Brief. WWF Netherlands, Zeist, The Netherlands, 48 pp., ISBN 978-90-74595-22-3, 2015.
Famulari, D., Fowler, D., Hargreaves, K., Milford, C., Nemitz, E., Sutton,
M. A., and Weston, K.: Measuring eddy covariance fluxes of ammonia using
tunable diode laser absorption spectroscopy, J. Water Air Soil Pollut.
Focus, 4, 151–158, https://doi.org/10.1007/s11267-005-3025-9, 2004.
Famulari, D., Fowler, D., Nemitz, E., Hargreaves, K. J., Storeton-West, R.
L., Rutherford, G., Tang, Y. S., Sutton, M. A., and Weston, K. J.:
Development of a low-cost system for measuring conditional time-averaged
gradients of SO2 and NH3, Environ. Monitor. Assess.,
161, 11–27, https://doi.org/10.1007/s10661-008-0723-6, 2010.
Flechard, C. R., Nemitz, E., Smith, R. I., Fowler, D., Vermeulen, A. T., Bleeker, A., Erisman, J. W., Simpson, D., Zhang, L., Tang, Y. S., and Sutton, M. A.: Dry deposition of reactive nitrogen to European ecosystems: a comparison of inferential models across the NitroEurope network, Atmos. Chem. Phys., 11, 2703–2728, https://doi.org/10.5194/acp-11-2703-2011, 2011.
Flesch, T. K., Baron, V. S., Wilson, J. D., Griffith, D. W. T., Basarab, J.
A., and Carlson, P. J.: Agricultural gas emissions during the spring thaw:
Applying a new measurement technique, Agr. Forest Meteorol.,
221, 111–121, https://doi.org/10.1016/j.agrformet.2016.02.010,
2016.
Foken, T.: Micrometeorology, Springer Berlin Heidelberg, 308 pp., https://doi.org/10.1007/978-3-540-74666-9, 2008.
Fowler, D., Coyle, M., Skiba, U., Sutton, M. A., Cape, J. N., Reis, S.,
Sheppard, L. J., Jenkins, A., Grizzetti, B., Galloway, J. N., Vitousek, P.,
Leach, A., Bouwman, A. F., Butterbach-Bahl, K., Dentener, F., Stevenson, D.,
Amann, M., and Voss, M.: The global nitrogen cycle in the twenty-first
century, Philos. Trans. Roy. Soc. B, 368, 20130164, https://doi.org/10.1098/rstb.2013.0164, 2013.
Galloway, J. N., Bleeker, A., and Erisman, J. W.: The human creation and use
of reactive nitrogen: a global and regional perspective, Annu. Rev.
Environ. Resour., 46, 255–288,
https://doi.org/10.1146/annurev-environ-012420-045120, 2021.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1959 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [dataset], https://doi.org/10.24381/cds.adbb2d47, 2018.
Homan, C.: Maandoverzichtt van het weer in Nederland, September 2021, KNMI,
De Bilt, https://cdn.knmi.nl/knmi/map/page/klimatologie/gegevens/mow/mow_202109.pdf (last access: 30 May 2022), 2021.
Hoogerbrugge, R., Geilenkirchen, G. P., Hollander, H. A. d., Schuch, W.,
Swaluw, E. v. d., Vries, W. J. d., and Kruit, R. J. W.: Grootschalige
concentratie- en depositiekaarten Nederland – Rapportage 2020,
Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, RIVM-rapport 2020-0091, 84 pp., https://rivm.openrepository.com/handle/10029/624449 (last access: 30 May 2022
), 2020.
Jager, C. J., Nakken, T. C., and Palland, C. L.: Bodemkundig onderzoek van
twee graslandpercelen nabij Cabauw, Arnhem, NV Heidemaatschappij Beheer, 9 pp., 1976 (in Dutch).
Kaimal, J. C., Wyngaard, J. C., Izumi, Y., and Coté, O. R.: Spectral
characteristics of surface-layer turbulence, Q. J. Roy.
Meteorol. Soc., 98, 563–589, https://doi.org/10.1002/qj.49709841707, 1972.
Kamp, J. N., Häni, C., Nyord, T., Feilberg, A., and Sørensen, L. L.:
The aerodynamic gradient method: implications of non-simultaneous
measurements at alternating heights, Atmosphere, 11, 1067, https://doi.org/10.3390/atmos11101067, 2020.
Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695–3713, https://doi.org/10.5194/gmd-8-3695-2015, 2015a.
Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: FFP 2D tool, the flux footprint prediction online data processing [Software], http://footprint.kljun.net (last access: 1 February 2022), 2015b.
LI-COR Biosciences: Eddy Covariance Processing Software (Version 7.0.6) [Software], https://www.licor.com/env/products/eddy_covariance/software.html, last access: 25 September 2019.
Loubet, B. and Personne, E.: Application note 28 – Measuring emissions from
diffuse sources using the aerodynamic gradient, in: Measuring emissions from
livestock farming: greenhouse gases, ammonia and nitrogen oxides, edited by:
Hassouna, M., Eglin, T., Cellier, P., Colomb, V., Cohan, J.-P., Decuq, C.,
Delabuis, M., Edouard, N., Espagnol, S., Eugène, M., Fauvel, Y.,
Fernandes, E., Fischer, N., Flechard, C., Genermont, S., Godbout, S.,
Guingand, N., Guyader, J., Lagadec, S., Laville, P., Lorinquer, E., Loubet,
B., Loyon, L., Martin, C., Méda, B., Morvan, T., Oster, D., Oudart, D.,
Personne, E., Planchais, J., Ponchant, P., Renand, G., Robin, P., and
Rochette, Y., INRA-ADEME, 149–153, https://hal.archives-ouvertes.fr/hal-01567208 (last access: 30 May 2022), 2016.
Loubet, B., Decuq, C., Personne, E., Massad, R. S., Flechard, C., Fanucci, O., Mascher, N., Gueudet, J.-C., Masson, S., Durand, B., Genermont, S., Fauvel, Y., and Cellier, P.: Investigating the stomatal, cuticular and soil ammonia fluxes over a growing tritical crop under high acidic loads, Biogeosciences, 9, 1537–1552, https://doi.org/10.5194/bg-9-1537-2012, 2012.
Loubet, B., Cellier, P., Fléchard, C., Zurfluh, O., Irvine, M., Lamaud,
E., Stella, P., Roche, R., Durand, B., Flura, D., Masson, S., Laville, P.,
Garrigou, D., Personne, E., Chelle, M., and Castell, J.-F.: Investigating
discrepancies in heat, CO2 fluxes and O3 deposition velocity over maize as
measured by the eddy-covariance and the aerodynamic gradient methods,
Agr. Forest Meteorol., 169, 35–50, https://doi.org/10.1016/j.agrformet.2012.09.010, 2013.
Mauder, M. and Foken, T.: Impact of post-field data processing on eddy
covariance flux estimates and energy balance closure, Meteorol.
Z., 15, 597–609, https://doi.org/10.1127/0941-2948/2006/0167, 2006.
Mauder, M., Foken, T., Aubinet, M., and Ibrom, A.: Eddy-covariance
measurements, in: Springer Handbook of Atmospheric Measurements, edited by:
Foken, T., Springer International Publishing, Cham, 1485–1515,
https://doi.org/10.1007/978-3-030-52171-4_55, 2021.
McDermitt, D. K., Burba, G., Xu, L., Anderson, T. G., Komissarov, A. V.,
Riensche, B., Schedlbauer, J. L., Starr, G., Zona, D., Oechel, W. C.,
Oberbauer, S. F., and Hastings, S. J.: A new low-power, open-path instrument
for measuring methane flux by eddy covariance, Appl. Phys. B, 102,
391–405, https://doi.org/10.1007/s00340-010-4307-0, 2011.
Miller, D. J., Sun, K., Tao, L., Khan, M. A., and Zondlo, M. A.: Open-path, quantum cascade-laser-based sensor for high-resolution atmospheric ammonia measurements, Atmos. Meas. Tech., 7, 81–93, https://doi.org/10.5194/amt-7-81-2014, 2014.
Moncrieff, J., Clement, R., Finnigan, J., Meyers, T., Lee, X., Massman, W.,
and Law, B.: Averaging, detrending, and filtering of eddy covariance time
series, in: Handbook of micrometeorology; A guide for surface flux
measurement and analysis, edited by: Lee, X., Massman, W., and Law, B.,
Atmospheric and oceanographic sciences library, Kluwer Academic Publisher,
Dordrecht, The Netherlands, 7–32 pp., 250 pp., https://link.springer.com/chapter/10.1007/1-4020-2265-4_2 (last access: 30 May 2022), 2004.
Moncrieff, J. B., Massheder, J. M., de Bruin, H., Elbers, J., Friborg, T.,
Heusinkveld, B., Kabat, P., Scott, S., Soegaard, H., and Verhoef, A.: A
system to measure surface fluxes of momentum, sensible heat, water vapour
and carbon dioxide, J. Hydrol., 188–189, 589–611, https://doi.org/10.1016/S0022-1694(96)03194-0, 1997.
Moore, C. J.: Frequency response corrections for eddy correlation systems,
Bound.-Lay. Meteorol., 37, 17–35, https://doi.org/10.1007/BF00122754, 1986.
Moravek, A., Singh, S., Pattey, E., Pelletier, L., and Murphy, J. G.: Measurements and quality control of ammonia eddy covariance fluxes: a new strategy for high-frequency attenuation correction, Atmos. Meas. Tech., 12, 6059–6078, https://doi.org/10.5194/amt-12-6059-2019, 2019.
Pan, D., Benedict, K. B., Golston, L. M., Wang, R., Collett, J. L., Tao, L.,
Sun, K., Guo, X., Ham, J., Prenni, A. J., Schichtel, B. A., Mikoviny, T.,
Müller, M., Wisthaler, A., and Zondlo, M. A.: Ammonia dry deposition in
an alpine ecosystem traced to agricultural emission hotpots, Environ.
Sci. Technol., 55, 7776–7785, https://doi.org/10.1021/acs.est.0c05749, 2021.
Parrish, D. D. and Fehsenfeld, F. C.: Methods for gas-phase measurements of
ozone, ozone precursors and aerosol precursors, Atmos. Environ., 34,
1921–1957, https://doi.org/10.1016/S1352-2310(99)00454-9, 2000.
Paulson, C. A.: The mathematical representation of wind speed and
temperature profiles in the unstable atmospheric surface layer, J.
Appl. Meteorol., 9, 857–861, https://doi.org/10.1175/1520-0450(1970)009<0857:Tmrows>2.0.Co;2, 1970.
Platt, U. and Stutz, J.: Differential Optical Absorption Spectroscopy –
Principles and Applications, Springer, Berlin, 597 pp., https://link.springer.com/book/10.1007/978-3-540-75776-4 (last access: 30 May 2022), 2008.
Prueger, J. H. and Kustas, W. P.: Aerodynamic methods for estimating
turbulent fluxes in: Micrometeorology in Agricultural Systems, American
Society of Agronomy, Crop Science Society of America, Soil Science Society
of America, Madison, 584 pp., https://acsess.onlinelibrary.wiley.com/doi/book/10.2134/agronmonogr47 (last access: 30 May 2022), 2005.
Schulte, R. B., van Zanten, M. C., Rutledge-Jonker, S., Swart, D. P. J.,
Wichink Kruit, R. J., Krol, M. C., van Pul, W. A. J., and Vilà-Guerau de
Arellano, J.: Unraveling the diurnal atmospheric ammonia budget of a
prototypical convective boundary layer, Atmos. Environ., 118153,
https://doi.org/10.1016/j.atmosenv.2020.118153, 2020.
Sintermann, J., Ammann, C., Kuhn, U., Spirig, C., Hirschberger, R., Gärtner, A., and Neftel, A.: Determination of field scale ammonia emissions for common slurry spreading practice with two independent methods, Atmos. Meas. Tech., 4, 1821–1840, https://doi.org/10.5194/amt-4-1821-2011, 2011.
Sintermann, J., Dietrich, K., Häni, C., Bell, M., Jocher, M., and Neftel, A.: A miniDOAS instrument optimised for ammonia field measurements, Atmos. Meas. Tech., 9, 2721–2734, https://doi.org/10.5194/amt-9-2721-2016, 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, Agr. Forest Meteorol., 213,
193–202, https://doi.org/10.1016/j.agrformet.2015.06.007,
2015.
Sutton, M. A., Oenema, O., Erisman, J. W., Leip, A., van Grinsven, H., and
Winiwarter, W.: Too much of a good thing, Nature, 472, 159–161,
https://doi.org/10.1038/472159a, 2011.
Trebs, I., Ammann, C., and Junk, J.: Immission and dry deposition, in:
Springer Handbook of Atmospheric Measurements, edited by: Foken, T.,
Springer Handbooks, Springer, Cham, https://doi.org/10.1007/978-3-030-52171-4_54, 2021.
Volten, H., Haaima, M., Swart, D., van Zanten, M., and van Pul, W.: Ammonia
exchange measured over a corn field in 2010, National Institute of Public
Health and the Environment, Bilthoven, The Netherlands, RIVM Report 680180003/2012, 95 pp., https://www.rivm.nl/publicaties/ammonia-exchange-measured-over-a-corn-field-in-2010, (last access: 30 May 2022), 2012a.
Volten, H., Bergwerff, J. B., Haaima, M., Lolkema, D. E., Berkhout, A. J. C., van der Hoff, G. R., Potma, C. J. M., Wichink Kruit, R. J., van Pul, W. A. J., and Swart, D. P. J.: Two instruments based on differential optical absorption spectroscopy (DOAS) to measure accurate ammonia concentrations in the atmosphere, Atmos. Meas. Tech., 5, 413–427, https://doi.org/10.5194/amt-5-413-2012, 2012b.
Walker, J. T., Jones, M. R., Bash, J. O., Myles, L., Meyers, T., Schwede, D., Herrick, J., Nemitz, E., and Robarge, W.: Processes of ammonia air–surface exchange in a fertilized Zea mays canopy, Biogeosciences, 10, 981–998, https://doi.org/10.5194/bg-10-981-2013, 2013.
Walker, J. T., Beachley, G., Zhang, L., Benedict, K. B., Sive, B. C., and
Schwede, D. B.: A review of measurements of air-surface exchange of reactive
nitrogen in natural ecosystems across North America, Sci. Total
Environ., 698, 133975, https://doi.org/10.1016/j.scitotenv.2019.133975, 2020.
Wang, K., Kang, P., Lu, Y., Zheng, X., Liu, M., Lin, T.-J., Butterbach-Bahl,
K., and Wang, Y.: An open-path ammonia analyzer for eddy covariance flux
measurement, Agr. Forest Meteorol., 308–309, 108570,
https://doi.org/10.1016/j.agrformet.2021.108570, 2021.
Wang, K., Wang, J., Qu, Z., Xu, W., Wang, K., Zhang, H., Shen, J., Kang, P.,
Zhen, X., Wang, Y., Zheng, X., and Liu, X.: A significant diurnal pattern of
ammonia dry deposition to a cropland is detected by an open-path quantum
cascade laser-based eddy covariance instrument, Atmos. Environ., 119070,,
https://doi.org/10.1016/j.atmosenv.2022.119070, 2022.
Webb, E. K., Pearman, G. I., and Leuning, R.: Correction of flux
measurements for density effects due to heat and water vapour transfer,
Q. J. Roy. Meteorol. Soc., 106, 85–100,
https://doi.org/10.1002/qj.49710644707, 1980.
Wichink Kruit, R. J., Stolk, A. P., Volten, H., and van Pul, W. A. J.:
Ammonia exchange measurements over a corn field in Lelystad, the Netherlands
in 2009, National Institute for Public Health and the Environment,
Bilthoven, The Netherlands, RIVM Letter report 680150004/2009, 58 pp., https://www.rivm.nl/bibliotheek/rapporten/680150004.pdf, 2010.
Wintjen, P., Ammann, C., Schrader, F., and Brümmer, C.: Correcting high-frequency losses of reactive nitrogen flux measurements, Atmos. Meas. Tech., 13, 2923–2948, https://doi.org/10.5194/amt-13-2923-2020, 2020.
Wolff, V., Trebs, I., Ammann, C., and Meixner, F. X.: Aerodynamic gradient measurements of the NH3-HNO3-NH4NO3 triad using a wet chemical instrument: an analysis of precision requirements and flux errors, Atmos. Meas. Tech., 3, 187–208, https://doi.org/10.5194/amt-3-187-2010, 2010.
Zöll, U., Brümmer, C., Schrader, F., Ammann, C., Ibrom, A., Flechard, C. R., Nelson, D. D., Zahniser, M., and Kutsch, W. L.: Surface–atmosphere exchange of ammonia over peatland using QCL-based eddy-covariance measurements and inferential modeling, Atmos. Chem. Phys., 16, 11283–11299, https://doi.org/10.5194/acp-16-11283-2016, 2016.
Short summary
During a 5-week comparison campaign, we tested two set-ups to measure half hourly ammonia fluxes. The eddy covariance and flux gradient systems showed very similar results when the upwind terrain was both homogeneous and free of obstacles. We discuss the technical performance and practical limitations of both systems. Measurements from these instruments can facilitate the study of processes behind ammonia deposition, an important contributor to eutrophication and acidificationin natural areas.
During a 5-week comparison campaign, we tested two set-ups to measure half hourly ammonia...
