Articles | Volume 23, issue 12
https://doi.org/10.5194/acp-23-6849-2023
© 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/acp-23-6849-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
Effects of denitrification on the distributions of trace gas abundances in the polar regions: a comparison of WACCM with observations
Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Douglas E. Kinnison
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Catherine Wilka
Department of Earth System Science, Stanford University, Stanford, CA, USA
Susan Solomon
Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
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The climatology of the N2O transport budget in the stratosphere is studied in the transformed Eulerian mean framework across a variety of datasets: a chemistry climate model, a chemistry transport model driven by four reanalyses and a chemical reanalysis. The impact of vertical advection on N2O agrees well in the datasets, but horizontal mixing presents large differences above the Antarctic and in the whole Northern Hemisphere.
Cited articles
Adriani, A., Massoli, P., Di Donfrancesco, G., Cairo, F., Moriconi, M. L., and Snels, M.: Climatology of polar stratospheric clouds based on lidar
observations from 1993 to 2001 over McMurdo Station, Antarctica, J. Geophys.
Res.-Atmos., 109, 1–17, https://doi.org/10.1029/2004JD004800, 2004. a
Carslaw, K. S., Luo, B. P., Clegg, S. L., Peter, T., Brimblecombe, P., and
Crutzen, P. J.: Stratospheric aerosol growth and HNO3 gas phase depletion
from coupled HNO3 and water uptake by liquid particles, Geophys. Res. Lett.,
21, 2479–2482, https://doi.org/10.1029/94GL02799, 1994. a
Carslaw, K. S., Wirth, M., Tsias, A., Luo, B. P., Dörnbrack, A., Leutbecher,
M., Volkert, H., Renger, W., Bacmeister, J. T., and Peter, T.: Particle
microphysics and chemistry in remotely observed mountain polar stratospheric
clouds, J. Geophys. Res.-Atmos., 103, 5785–5796, https://doi.org/10.1029/97JD03626, 1998. a
Carslaw, K. S., Kettleborough, J. A., Northway, M. J., Davies, S., Gao, R.-S., Fahey, D. W., Baumgardner, D. G., Chipperfield, M. P., and Kleinböhl, A.: A vortex-scale simulation of the growth and sedimentation of large nitric acid hydrate particles, J. Geophys. Res.-Atmos., 107, SOL 43-1–SOL 43-16,
https://doi.org/10.1029/2001JD000467, 2002. a
Computational and Information Systems Laboratory: Cheyenne: HPE/SGI ICE XA
System (University Community Computing), Tech. rep., National Center for
Atmospheric Research, Boulder, CO, https://doi.org/10.5065/D6RX99HX, 2019. a
Considine, D. B., Douglass, A. R., Connell, P. S., Kinnison, D. E., and Rotman, D. A.: A polar stratospheric cloud parameterization for the global modeling initiative three-dimensional model and its response to stratospheric
aircraft, J. Geophys. Res.-Atmos., 105, 3955–3973, https://doi.org/10.1029/1999JD900932, 2000. a, b, c, d
Danabasoglu, G., Lamarque, J. F., Bacmeister, J., Bailey, D. A., DuVivier,
A. K., Edwards, J., Emmons, L. K., Fasullo, J., Garcia, R., Gettelman, A.,
Hannay, C., Holland, M. M., Large, W. G., Lauritzen, P. H., Lawrence, D. M.,
Lenaerts, J. T., Lindsay, K., Lipscomb, W. H., Mills, M. J., Neale, R., Oleson, K. W., Otto-Bliesner, B., Phillips, A. S., Sacks, W., Tilmes, S., van Kampenhout, L., Vertenstein, M., Bertini, A., Dennis, J., Deser, C., Fischer, C., Fox-Kemper, B., Kay, J. E., Kinnison, D., Kushner, P. J., Larson, V. E., Long, M. C., Mickelson, S., Moore, J. K., Nienhouse, E., Polvani, L., Rasch, P. J., and Strand, W. G.: The Community Earth System Model Version 2 (CESM2), J. Adv. Model. Earth Syst., 12, e2019MS001916,
https://doi.org/10.1029/2019MS001916, 2020. a, b
Douglass, A. R., Schoeberl, M. R., Stolarski, R. S., Waters, J. W.,
Russell III, J. M., Roche, A. E., and Massie, S. T.: Interhemispheric
differences in springtime production of HCl and ClONO2 in the polar
vortices, J. Geophys. Res.-Atmos., 100, 13967–13978, https://doi.org/10.1029/95JD00698, 1995. a
Drdla, K. and Müller, R.: Temperature thresholds for chlorine activation and ozone loss in the polar stratosphere, Ann. Geophys., 30, 1055–1073,
https://doi.org/10.5194/angeo-30-1055-2012, 2012. a
Fahey, D. W.: The Detection of Large HNO3-Containing Particles in the Winter
Arctic Stratosphere, Science, 291, 1026–1031, https://doi.org/10.1126/science.1057265, 2001. a, b, c, d
Fahey, D. W., Kelly, K. K., Ferry, G. V., Poole, L. R., Wilson, J. C., Murphy, D. M., Loewenstein, M., and Chan, K. R.: In situ measurements of total reactive nitrogen, total water, and aerosol in a polar stratospheric cloud in the Antarctic, J. Geophys. Res., 94, 11299, https://doi.org/10.1029/JD094iD09p11299, 1989. a
Fischer, H., Birk, M., Blom, C., Carli, B., Carlotti, M., von Clarmann, T.,
Delbouille, L., Dudhia, A., Ehhalt, D., Endemann, M., Flaud, J. M., Gessner,
R., Kleinert, A., Koopman, R., Langen, J., López-Puertas, M., Mosner,
P., Nett, H., Oelhaf, H., Perron, G., Remedios, J., Ridolfi, M., Stiller, G.,
and Zander, R.: MIPAS: an instrument for atmospheric and climate research,
Atmos. Chem. Phys., 8, 2151–2188, https://doi.org/10.5194/acp-8-2151-2008, 2008. a, b
Fueglistaler, S., Luo, B. P., Voigt, C., Carslaw, K. S., and Peter, Th.: NAT-rock formation by mother clouds: a microphysical model study, Atmos. Chem. Phys., 2, 93–98, https://doi.org/10.5194/acp-2-93-2002, 2002. a
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K.,
Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A.,
da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert,
S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective Analysis
for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, https://doi.org/10.1175/JCLI-D-16-0758.1, 2017. a
Gettelman, A., Mills, M. J., Kinnison, D. E., Garcia, R. R., Smith, A. K.,
Marsh, D. R., Tilmes, S., Vitt, F., Bardeen, C. G., McInerny, J., Liu, H. L.,
Solomon, S. C., Polvani, L. M., Emmons, L. K., Lamarque, J. F., Richter,
J. H., Glanville, A. S., Bacmeister, J. T., Phillips, A. S., Neale, R. B.,
Simpson, I. R., DuVivier, A. K., Hodzic, A., and Randel, W. J.: The Whole
Atmosphere Community Climate Model Version 6 (WACCM6), J. Geophys. Res.-Atmos., 124, 12380–12403, https://doi.org/10.1029/2019JD030943, 2019. a
Grooß, J.-U., Günther, G., Müller, R., Konopka, P., Bausch, S.,
Schlager, H., Voigt, C., Volk, C. M., and Toon, G. C.: Simulation of
denitrification and ozone loss for the Arctic winter 2002/2003, Atmos. Chem.
Phys., 5, 1437–1448, https://doi.org/10.5194/acp-5-1437-2005, 2005. a
Hanson, D. and Mauersberger, K.: Laboratory studies of the nitric acid
trihydrate: Implications for the south polar stratosphere, Geophys. Res. Lett., 15, 855–858, https://doi.org/10.1029/GL015i008p00855, 1988. a
Höpfner, M., Larsen, N., Spang, R., Luo, B. P., Ma, J., Svendsen, S. H.,
Eckermann, S. D., Knudsen, B., Massoli, P., Cairo, F., Stiller, G., von Clarmann, T., and Fischer, H.: MIPAS detects Antarctic stratospheric belt of NAT PSCs caused by mountain waves, Atmos. Chem. Phys., 6, 1221–1230,
https://doi.org/10.5194/acp-6-1221-2006, 2006. a
Höpfner, M., Von Clarmann, T., Fischer, H., Funke, B., Glatthor, N.,
Grabowski, U., Kellmann, S., Kiefer, M., Linden, A., Milz, M., Steck, T.,
Stiller, G. P., Bernath, P., Blom, C. E., Blumenstock, T., Boone, C., Chance,
K., Coffey, M. T., Friedl-Vallon, F., Griffith, D., Hannigan, J. W., Hase,
F., Jones, N., Jucks, K. W., Keim, C., Kleinert, A., Kouker, W., Liu, G. Y.,
Mahieu, E., Mellqvist, J., Mikuteit, S., Notholt, J., Oelhaf, H., Piesch, C.,
Reddmann, T., Ruhnke, R., Schneider, M., Strandberg, A., Toon, G., Walker,
K. A., Warneke, T., Wetzel, G., Wood, S., and Zander, R.: Validation of
MIPAS ClONO2 measurements, Atmos. Chem. Phys., 7, 257–281,
https://doi.org/10.5194/acp-7-257-2007, 2007. a
Höpfner, M., Deshler, T., Pitts, M., Poole, L., Spang, R., Stiller, G.,
and von Clarmann, T.: The MIPAS/Envisat climatology (2002–2012) of polar
stratospheric cloud volume density profiles, Atmos. Meas. Tech., 11, 5901–5923, https://doi.org/10.5194/amt-11-5901-2018, 2018. a
Kawa, S. R., Fahey, D. W., Heidt, L. E., Pollock, W. H., Solomon, S., Anderson, D. E., Loewenstein, M., Proffitt, M. H., Margitan, J. J., and Chan, K. R.: Photochemical partitioning of the reactive nitrogen and chlorine reservoirs in the high-latitude stratosphere, J. Geophys. Res.-Atmos., 97,
7905–7923, https://doi.org/10.1029/91JD02399, 1992. a
Kelly, K. K., Tuck, A. F., Murphy, D. M., Proffitt, M. H., Fahey, D. W., Jones, R. L., McKenna, D. S., Loewenstein, M., Podolske, J. R., Strahan, S. E., Ferry, G. V., Chan, K. R., Vedder, J. F., Gregory, G. L., Hypes, W. D., McCormick, M. P., Browell, E. V., and Heidt, L. E.: Dehydration in the lower Antarctic stratosphere during late winter and early spring, 1987, J. Geophys. Res., 94, 11317, https://doi.org/10.1029/JD094iD09p11317, 1989. a
Kiefer, M., von Clarmann, T., Funke, B., García-Comas, M., Glatthor, N.,
Grabowski, U., Kellmann, S., Kleinert, A., Laeng, A., Linden, A.,
López-Puertas, M., Marsh, D. R., and Stiller, G. P.: IMK/IAA MIPAS
temperature retrieval version 8: nominal measurements, Atmos. Meas. Tech.,
14, 4111–4138, https://doi.org/10.5194/amt-14-4111-2021, 2021. a
Kiefer, M., von Clarmann, T., Funke, B., García-Comas, M., Glatthor, N., Grabowski, U., Höpfner, M., Kellmann, S., Laeng, A., Linden, A., López-Puertas, M., and Stiller, G. P.: Version 8 IMK–IAA MIPAS ozone profiles: nominal observation mode, Atmos. Meas. Tech., 16, 1443–1460, https://doi.org/10.5194/amt-16-1443-2023, 2023. a, b
Kinnison, D. E., Brasseur, G. P., Walters, S., Garcia, R. R., Marsh, D. R.,
Sassi, F., Harvey, V. L., Randall, C. E., Emmons, L., Lamarque, J. F., Hess,
P., Orlando, J. J., Tie, X. X., Randel, W., Pan, L. L., Gettelman, A.,
Granier, C., Diehl, T., Niemeier, U., and Simmons, A. J.: Sensitivity of
chemical tracers to meteorological parameters in the MOZART-3 chemical
transport model, J. Geophys. Res.-Atmos., 112, 20302,
https://doi.org/10.1029/2006JD007879, 2007. a
Kirner, O., Ruhnke, R., Buchholz-Dietsch, J., Jöckel, P., Brühl, C., and Steil, B.: Simulation of polar stratospheric clouds in the chemistry-climate-model EMAC via the submodel PSC, Geosci. Model Dev., 4,
169–182, https://doi.org/10.5194/gmd-4-169-2011, 2011. a, b
Manney, G. L., Krüger, K., Sabutis, J. L., Sena, S. A., and Pawson, S.:
The remarkable 2003–2004 winter and other recent warm winters in the
Arctic stratosphere since the late 1990s, J. Geophys. Res.-Atmos., 110, 1–14, https://doi.org/10.1029/2004JD005367, 2005. a
MIPAS Science Team: Access to IMK/IAA generated MIPAS/Envisat data, https://www.imk-asf.kit.edu/english/308.php (last access 16 June 2023), 2023. a
Molleker, S., Borrmann, S., Schlager, H., Luo, B., Frey, W., Klingebiel, M.,
Weigel, R., Ebert, M., Mitev, V., Matthey, R., Woiwode, W., Oelhaf, H.,
Dörnbrack, A., Stratmann, G., Grooß, J.-U., Günther, G., Vogel, B., Müller, R., Krämer, M., Meyer, J., and Cairo, F.: Microphysical properties of synoptic-scale polar stratospheric clouds: in situ measurements of unexpectedly large HNO3-containing particles in the Arctic vortex, Atmos. Chem. Phys., 14, 10785–10801, https://doi.org/10.5194/acp-14-10785-2014, 2014. a
Nash, E. R., Newman, P. A., Rosenfield, J. E., and Schoeberl, M. R.: An
objective determination of the polar vortex using Ertel's potential
vorticity, J. Geophys. Res.-Atmos., 101, 9471–9478, https://doi.org/10.1029/96JD00066, 1996. a
Peter, T.: Microphysics and heterogeneous chemistry of polar stratospheric
clouds, Annu. Rev. Phys. Chem., 48, 785–822, https://doi.org/10.1146/annurev.physchem.48.1.785, 1997. a
Pitts, M. C., Poole, L. R., and Thomason, L. W.: CALIPSO polar stratospheric
cloud observations: second-generation detection algorithm and composition
discrimination, Atmos. Chem. Phys., 9, 7577–7589,
https://doi.org/10.5194/acp-9-7577-2009, 2009. a, b
Pitts, M. C., Poole, L. R., Dörnbrack, A., and Thomason, L. W.: The
2009–2010 Arctic polar stratospheric cloud season: a CALIPSO perspective,
Atmos. Chem. Phys., 11, 2161–2177, https://doi.org/10.5194/acp-11-2161-2011, 2011. a, b
Pitts, M. C., Poole, L. R., and Gonzalez, R.: Polar stratospheric cloud
climatology based on CALIPSO spaceborne lidar measurements from 2006 to
2017, Atmos. Chem. Phys., 18, 10881–10913, https://doi.org/10.5194/acp-18-10881-2018, 2018. a
Prather, M. and Jaffe, A. H.: Global impact of the Antarctic ozone hole:
Chemical propagation, J. Geophys. Res.-Atmos., 95, 3473–3492,
https://doi.org/10.1029/JD095iD04p03473, 1990. a
Roy, R. and Kuttippurath, J.: The dynamical evolution of Sudden Stratospheric Warmings of the Arctic winters in the past decade 2011–2021, SN Appl. Sci., 4, 1–12, https://doi.org/10.1007/S42452-022-04983-4, 2022. a
Santee, M. L., Lambert, A., Read, W. G., Livesey, N. J., Cofield, R. E., Cuddy, D. T., Daffer, W. H., Drouin, B. J., Froidevaux, L., Fuller, R. A., Jarnot, R. F., Knosp, B. W., Manney, G. L., Perun, V. S., Snyder, W. V., Stek, P. C., Thurstans, R. P., Wagner, P. A., Waters, J. W., Muscari, G., de Zafra, R. L., Dibb, J. E., Fahey, D. W., Popp, P. J., Marcy, T. P., Jucks, K. W., Toon, G. C., Stachnik, R. A., Bernath, P. F., Boone, C. D., Walker, K. A., Urban, J., and Murtagh, D.: Validation of the Aura Microwave Limb Sounder HNO3 measurements, J. Geophys. Res.-Atmos., 112, 24–40,
https://doi.org/10.1029/2007JD008721, 2007. a
Schoeberl, M. R., Lait, L. R., Newman, P. A., and Rosenfield, J. E.: The
structure of the polar vortex, J. Geophys. Res.-Atmos., 97, 7859–7882, https://doi.org/10.1029/91JD02168, 1992. a
Sheese, P. E., Walker, K. A., Boone, C. D., McLinden, C. A., Bernath, P. F.,
Bourassa, A. E., Burrows, J. P., Degenstein, D. A., Funke, B., Fussen, D.,
Manney, G. L., Thomas McElroy, C., Murtagh, D., Randall, C. E., Raspollini,
P., Rozanov, A., Russell, J. M., Suzuki, M., Shiotani, M., Urban, J.,
Von Clarmann, T., and Zawodny, J. M.: Validation of ACE-FTS version 3.5 NOy species profiles using correlative satellite measurements, Atmos. Meas. Tech., 9, 5781–5810, https://doi.org/10.5194/amt-9-5781-2016, 2016. a, b
Sheese, P. E., Walker, K. A., Boone, C. D., Bernath, P. F., Froidevaux, L.,
Funke, B., Raspollini, P., and von Clarmann, T.: ACE-FTS ozone, water
vapour, nitrous oxide, nitric acid, and carbon monoxide profile comparisons
with MIPAS and MLS, J. Quant. Spectrosc. Ra., 186, 63–80,
https://doi.org/10.1016/J.JQSRT.2016.06.026, 2017. a, b
Smit, H. G. J., Straeter, W., Johnson, B. J., Oltmans, S. J., Davies, J.,
Tarasick, D. W., Hoegger, B., Stubi, R., Schmidlin, F. J., Northam, T.,
Thompson, A. M., Witte, J. C., Boyd, I., and Posny, F.: Assessment of the
performance of ECC-ozonesondes under quasi-flight conditions in the
environmental simulation chamber: Insights from the Juelich Ozone Sonde
Intercomparison Experiment (JOSIE), J. Geophys. Res.-Atmos., 112,
D19306, https://doi.org/10.1029/2006JD007308, 2007. a
Solomon, S.: Stratospheric ozone depletion: A review of concepts and history, Rev. Geophys., 37, 275–316, https://doi.org/10.1029/1999RG900008, 1999. a
Solomon, S., Garcia, R. R., Rowland, F. S., and Wuebbles, D. J.: On the
depletion of Antarctic ozone, Nature, 321, 755–758, https://doi.org/10.1038/321755a0,
1986. a
Solomon, S., Kinnison, D., Bandoro, J., and Garcia, R.: Simulation of polar
ozone depletion: An update, J. Geophys. Res.-Atmos., 120, 7958–7974,
https://doi.org/10.1002/2015JD023365, 2015. a
Solomon, S., Kinnison, D., Garcia, R. R., Bandoro, J., Mills, M., Wilka, C.,
Neely, R. R., Schmidt, A., Barnes, J. E., Vernier, J. P., and Höpfner,
M.: Monsoon circulations and tropical heterogeneous chlorine chemistry in
the stratosphere, Geophys. Res. Lett., 43, 12624–12633, https://doi.org/10.1002/2016GL071778, 2016. a
Spang, R., Hoffmann, L., Müller, R., Grooß, J.-U., Tritscher, I.,
Höpfner, M., Pitts, M., Orr, A., and Riese, M.: A climatology of polar
stratospheric cloud composition between 2002 and 2012 based on MIPAS/Envisat
observations, Atmos. Chem. Phys., 18, 5089–5113, https://doi.org/10.5194/acp-18-5089-2018, 2018. a
Tabazadeh, A., Jensen, E. J., Toon, O. B., Drdla, K., and Schoeberl, M. R.:
Role of the Stratospheric Polar Freezing Belt in Denitrification, Science,
291, 2591–2594, https://doi.org/10.1126/science.1057228, 2001. a
Toon, G. C., Farmer, C. B., Lowes, L. L., Schaper, P. W., Blavier, J.-F., and
Norton, R. H.: Infrared aircraft measurements of stratospheric composition
over Antarctica during September 1987, J. Geophys. Res.-Atmos., 94,
16571–16596, https://doi.org/10.1029/JD094iD14p16571, 1989. a
Tritscher, I., Pitts, M. C., Poole, L. R., Alexander, S. P., Cairo, F.,
Chipperfield, M. P., Grooß, J., Höpfner, M., Lambert, A., Luo, B.,
Molleker, S., Orr, A., Salawitch, R., Snels, M., Spang, R., Woiwode, W., and
Peter, T.: Polar Stratospheric Clouds: Satellite Observations, Processes,
and Role in Ozone Depletion, Rev. Geophys., 59, e2020RG000702,
https://doi.org/10.1029/2020RG000702, 2021. a
Voigt, C., Schreiner, J., Kohlmann, A., Zink, P., Mauersberger, K., Larsen, N., Deshler, T., Kroger, C., Rosen, J., Adriani, A., Cairo, F., Di Donfrancesco, G., Viterbin, M., Ovarlez, J., Ovarlez, H., David, C., and Dornbrack, A.: Nitric Acid Trihydrate (NAT) in Polar Stratospheric Clouds, Science, 290, 1756–1758, https://doi.org/10.1126/SCIENCE.290.5497.1756, 2000. a
Voigt, C., Schlager, H., Luo, B. P., Dörnbrack, A., Roiger, A., Stock, P., Curtius, J., Vössing, H., Borrmann, S., Davies, S., Konopka, P., Schiller, C., Shur, G., and Peter, T.: Nitric Acid Trihydrate (NAT) formation at low NAT supersaturation in Polar Stratospheric Clouds (PSCs), Atmos. Chem. Phys., 5, 1371–1380, https://doi.org/10.5194/acp-5-1371-2005, 2005. a
von Clarmann, T., Höpfner, M., Kellmann, S., Linden, A., Chauhan, S.,
Funke, B., Grabowski, U., Glatthor, N., Kiefer, M., Schieferdecker, T.,
Stiller, G. P., and Versick, S.: Retrieval of temperature, H2O, O3, HNO3, CH4, N2O, ClONO2 and ClO from MIPAS reduced resolution nominal mode limb emission measurements, Atmos. Meas. Tech., 2, 159–175, https://doi.org/10.5194/amt-2-159-2009, 2009. a
Waibel, A. E., Peter, T., Carslaw, K. S., Oelhaf, H., Wetzel, G., Crutzen,
P. J., Pöschl, U., Tsias, A., Reimer, E., and Fischer, H.: Arctic
Ozone Loss Due to Denitrification, Science, 283, 2064–2069,
https://doi.org/10.1126/science.283.5410.2064, 1999. a
Weimer, M., Buchmüller, J., Hoffmann, L., Kirner, O., Luo, B., Ruhnke,
R., Steiner, M., Tritscher, I., and Braesicke, P.: Mountain-wave-induced
polar stratospheric clouds and their representation in the global chemistry
model ICON-ART, Atmos. Chem. Phys., 21, 9515–9543, https://doi.org/10.5194/acp-21-9515-2021, 2021. a, b
Weimer, M., Kinnison, D. E., Wilka, C., and Solomon, S.: ACP_Weimer_2022, https://g-27eb33.7a577b.6fbd.data.globus.org/ACP_Weimer_2022/ACP_Weimer_2022.tar.gz (last access: 16 June 2023), 2023. a
Wespes, C., Ronsmans, G., Clarisse, L., Solomon, S., Hurtmans, D., Clerbaux,
C., and Coheur, P.-F.: Polar stratospheric nitric acid depletion surveyed
from a decadal dataset of IASI total columns, Atmos. Chem. Phys., 22,
10993–11007, https://doi.org/10.5194/acp-22-10993-2022, 2022. a
WMO/GAW Ozone Monitoring Community: World Meteorological Organization-Global
Atmosphere Watch Program (WMO-GAW): Ozone, WOUDC – World Ozone and Ultraviolet Radiation Data Centre [data set], https://doi.org/10.14287/10000001, 2022. a
Wohltmann, I., Lehmann, R., and Rex, M.: The Lagrangian chemistry and transport model ATLAS: simulation and validation of stratospheric chemistry and ozone loss in the winter 1999/2000, Geosci. Model Dev., 3, 585–601,
https://doi.org/10.5194/gmd-3-585-2010, 2010. a
Woiwode, W., Grooß, J.-U., Oelhaf, H., Molleker, S., Borrmann, S.,
Ebersoldt, A., Frey, W., Gulde, T., Khaykin, S., Maucher, G., Piesch, C., and
Orphal, J.: Denitrification by large NAT particles: the impact of reduced
settling velocities and hints on particle characteristics, Atmos. Chem.
Phys., 14, 11525–11544, https://doi.org/10.5194/acp-14-11525-2014, 2014. a
Woiwode, W., Höpfner, M., Bi, L., Pitts, M. C., Poole, L. R., Oelhaf, H., Molleker, S., Borrmann, S., Klingebiel, M., Belyaev, G., Ebersoldt, A.,
Griessbach, S., Grooß, J.-U., Gulde, T., Krämer, M., Maucher, G.,
Piesch, C., Rolf, C., Sartorius, C., Spang, R., and Orphal, J.: Spectroscopic evidence of large aspherical β-NAT particles involved in denitrification in the December 2011 Arctic stratosphere, Atmos. Chem. Phys., 16, 9505–9532, https://doi.org/10.5194/acp-16-9505-2016, 2016. a, b
Woiwode, W., Höpfner, M., Bi, L., Khosrawi, F., and Santee, M. L.:
Vortex-Wide Detection of Large Aspherical NAT Particles in the Arctic Winter
2011/12 Stratosphere, Geophys. Res. Lett., 46, 13420–13429,
https://doi.org/10.1029/2019GL084145, 2019. a
Zhu, Y., Toon, O. B., Lambert, A., Kinnison, D. E., Brakebusch, M., Bardeen,
C. G., Mills, M. J., and English, J. M.: Development of a Polar
Stratospheric Cloud Model within the Community Earth System Model using
constraints on Type I PSCs from the 2010–2011 Arctic winter, J. Adv. Model.
Earth Syst., 7, 551–585, https://doi.org/10.1002/2015MS000427, 2015. a, b
Short summary
We investigate the influence of the number density of nitric acid trihydrate (NAT) particles on associated trace gases in the lower stratosphere using data from a satellite, ozonesondes and simulations by a community chemistry climate model. By comparing probability density functions between observations and the model, we find that the standard NAT number density should be reduced for future simulations with the model.
We investigate the influence of the number density of nitric acid trihydrate (NAT) particles on...
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