Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4737-2021
© Author(s) 2021. 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-14-4737-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jun 2021
Research article |
| 29 Jun 2021
| 29 Jun 2021
On the capability of the future ALTIUS ultraviolet–visible–near-infrared limb sounder to constrain modelled stratospheric ozone
Quentin Errera
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Emmanuel Dekemper
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Noel Baker
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jonas Debosscher
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Philippe Demoulin
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Nina Mateshvili
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Didier Pieroux
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Filip Vanhellemont
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Didier Fussen
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
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Cited articles
Abida, R., Attié, J.-L., El Amraoui, L., Ricaud, P., Lahoz, W., Eskes, H., Segers, A., Curier, L., de Haan, J., Kujanpää, J., Nijhuis, A. O., Tamminen, J., Timmermans, R., and Veefkind, P.: Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts, Atmos. Chem. Phys., 17, 1081–1103, https://doi.org/10.5194/acp-17-1081-2017, 2017. a
Acton, C., Bachman, N., Semenov, B., and Wright, E.: A look towards the future in the handling of space science mission geometry, Planet. Space Sci., 150, 9–12, https://doi.org/10.1016/j.pss.2017.02.013, 2018. a
Acton, C. H.: Ancillary data services of NASA's Navigation and Ancillary Information Facility, Planet. Space Sci., 44, 65–70, https://doi.org/10.1016/0032-0633(95)00107-7, 1996. a
Bernath, P. F., McElroy, C. T., Abrams, M. C., Boone, C. D., Butler, M.,
Camy-Peyret, C., Carleer, M., Clerbaux, C., Coheur, P.-F., Colin, R.,
DeCola, P., DeMazière, M., Drummond, J. R., Dufour, D., Evans, W. F. J.,
Fast, H., Fussen, D., Gilbert, K., Jennings, D. E., Llewellyn, E. J.,
Lowe, R. P., Mahieu, E., McConnell, J. C., McHugh, M., McLeod, S. D.,
Michaud, R., Midwinter, C., Nassar, R., Nichitiu, F., Nowlan, C.,
Rinsland, C. P., Rochon, Y. J., Rowlands, N., Semeniuk, K., Simon, P.,
Skelton, R., Sloan, J. J., Soucy, M.-A., Strong, K., Tremblay, P.,
Turnbull, D., Walker, K. A., Walkty, I., Wardle, D. A., Wehrle, V.,
Zander, R., and Zou, J.: Atmospheric Chemistry Experiment (ACE): Mission
overview, Geophys. Res. Lett., 32, L15S01, https://doi.org/10.1029/2005GL022386, 2005. a
Boone, C. D., Walker, K. A., and Bernath, P. F.: Version 3 Retrievals for the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS), in: The Atmospheric Chemistry Experiment ACE at 10: A Solar Occultation Anthology, A. Deepak Publishing, Hampton, Virginia, USA, 103–127, 2013. a
Bourassa, A. E., McLinden, C. A., Bathgate, A. F., Elash, B. J., and Degenstein, D. A.: Precision estimate for Odin-OSIRIS limb scatter retrievals, J. Geophys. Res., 117, D04303, https://doi.org/10.1029/2011JD016976, 2012. a
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Noël, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY: Mission Objectives and Measurement Modes, J. Atmos. Sci., 56, 127–150, https://doi.org/10.1175/1520-0469(1999)056<0127:SMOAMM>2.0.CO;2, 1999. a, b
Brasseur, G. P. and Solomon, S.: Aeronomy of the Middle Atmosphere: Chemistry and Physics of the Stratosphere and Mesosphere, Springer,Dordrecht, The Netherlands, 2005. a
Chu, W. P., Trepte, C. R., Veiga, R. E., Cisewski, M. S., and Taha, G.: SAGE III measurements, in: Earth Observing Systems VII, edited by: Barnes, W. L., vol. 4814, International Society for Optics and Photonics, SPIE, 457–464, https://doi.org/10.1117/12.451515, 2002. a
Claeyman, M., Attié, J.-L., Peuch, V.-H., El Amraoui, L., Lahoz, W. A., Josse, B., Joly, M., Barré, J., Ricaud, P., Massart, S., Piacentini, A., von Clarmann, T., Höpfner, M., Orphal, J., Flaud, J.-M., and Edwards, D. P.: A thermal infrared instrument onboard a geostationary platform for CO and O3 measurements in the lowermost troposphere: Observing System Simulation Experiments (OSSE), Atmos. Meas. Tech., 4, 1637–1661, https://doi.org/10.5194/amt-4-1637-2011, 2011. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance ofthe data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
Desroziers, G., Berre, L., Chapnik, B., and Poli, P.: Diagnosis of observation, background and analysis-error statistics in observation space, Q. J. Roy. Meteor. Soc., 131, 3385–3396, https://doi.org/10.1256/qj.05.108, 2005. a
Dragani, R., Benedetti, A., Flemming, J., Balsamo, G., Diamantakis, M., Geer, A., Hogan, R., Stockdale, T., Ades, M., Agusti-Panareda, A., Barre, J., Bechtold, P., Bozzo, A., Hersbach, H., Holm, E., Kipling, Z., Inness, A., Letertre-Danczak, J., Massart, S., Matricardi, M., McNally, T., Parrington, M., Sandu, I., Soci, C., and Vitart, F.: Atmospheric Composition priority developments for Numerical Weather Prediction, ECMWF, Technical Memorandum 833, https://doi.org/10.21957/5e0whui2y, 2018. a
Errera, Q. and Fonteyn, D.: Four-dimensional variational chemical assimilation of CRISTA stratospheric measurements, J. Geophys. Res., 106, 12253–12265, 2001. a
Errera, Q. and Ménard, R.: Technical Note: Spectral representation of spatial correlations in variational assimilation with grid point models and application to the Belgian Assimilation System for Chemical Observations (BASCOE), Atmos. Chem. Phys., 12, 10015–10031, https://doi.org/10.5194/acp-12-10015-2012, 2012. a
Errera, Q., Daerden, F., Chabrillat, S., Lambert, J. C., Lahoz, W. A., Viscardy, S., Bonjean, S., and Fonteyn, D.: 4D-Var assimilation of MIPAS chemical observations: ozone and nitrogen dioxide analyses, Atmos. Chem. Phys., 8, 6169–6187, https://doi.org/10.5194/acp-8-6169-2008, 2008. a
Errera, Q., Chabrillat, S., Christophe, Y., Debosscher, J., Hubert, D., Lahoz, W., Santee, M. L., Shiotani, M., Skachko, S., von Clarmann, T., and Walker, K.: Technical note: Reanalysis of Aura MLS chemical observations, Atmos. Chem. Phys., 19, 13647–13679, https://doi.org/10.5194/acp-19-13647-2019, 2019. a, b, c, d, e, f, g, h
ESA: The Hipparcos and Tycho Catalogues, Tech. rep., ESA SP-1200, 311 pp., available at: https://www.cosmos.esa.int/web/hipparcos/catalogues (last access: 22 June 2021), 1997. 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
Flemming, J., Peuch, V.-H., and Jones, L.: Ten years of forecasting
atmospheric composition at ECMWF, ECMWF Newsletter, 5–6, available at:
https://www.ecmwf.int/en/newsletter/152/news/ten-years-forecasting-atmospheric-composition-ecmwf (last access: 22 June 2021), 2017. a
Flynn, L. E., Seftor, C. J., Larsen, J. C., and Xu, P.: The Ozone Mapping and Profiler Suite, in: Earth Science Satellite Remote Sensing: Vol. 1: Science and Instruments, edited by: Qu, J. J., Gao, W., Kafatos, M., Murphy, R. E., and Salomonson, V. V., Springer, Berlin, Heidelberg, 279–296, https://doi.org/10.1007/978-3-540-37293-6_15, 2006. a, b
Fussen, D., Baker, N., Debosscher, J., Dekemper, E., Demoulin, P., Errera, Q., Franssens, G., Mateshvili, N., Pereira, N., Pieroux, D., and Vanhellemont, F.: The ALTIUS atmospheric limb sounder, J. Quant. Spectrosc. Ra., 238, 106542, https://doi.org/10.1016/j.jqsrt.2019.06.021, 2019. a, b, c
Hardiman, S. C., Butchart, N., and Calvo, N.: The morphology of the
Brewer–Dobson circulation and its response to climate change in CMIP5
simulations, Q. J. Roy. Meteor. Soc., 140, 1958–1965, https://doi.org/10.1002/qj.2258, 2014. a
Hubert, D., Lambert, J.-C., Verhoelst, T., Granville, J., Keppens, A., Baray, J.-L., Bourassa, A. E., Cortesi, U., Degenstein, D. A., Froidevaux, L., Godin-Beekmann, S., Hoppel, K. W., Johnson, B. J., Kyrölä, E., Leblanc, T., Lichtenberg, G., Marchand, M., McElroy, C. T., Murtagh, D., Nakane, H., Portafaix, T., Querel, R., Russell III, J. M., Salvador, J., Smit, H. G. J., Stebel, K., Steinbrecht, W., Strawbridge, K. B., Stübi, R., Swart, D. P. J., Taha, G., Tarasick, D. W., Thompson, A. M., Urban, J., van Gijsel, J. A. E., Van Malderen, R., von der Gathen, P., Walker, K. A., Wolfram, E., and Zawodny, J. M.: Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records, Atmos. Meas. Tech., 9, 2497–2534, https://doi.org/10.5194/amt-9-2497-2016, 2016. a
Inness, A., Ades, M., Agustí-Panareda, A., Barré, J., Benedictow, A.,
Blechschmidt, A.-M., Dominguez, J. J., Engelen, R., Eskes, H., Flemming, J.,
Huijnen, V., Jones, L., Kipling, Z., Massart, S., Parrington, M.,
Peuch, V.-H., Razinger, M., Remy, S., Schulz, M., and Suttie, M.: The CAMS
reanalysis of atmospheric composition, Atmos. Chem. Phys., 19, 3515–3556,
https://doi.org/10.5194/acp-19-3515-2019, 2019. a
Jeong, G.-R., Monge-Sanz, B., Lee, E.-H., and Ziemke, J.: Simulation of stratospheric ozone in global forecast model using linear photochemistry parameterization, Asia-Pac. J. Atmos. Sci., 52, 479–494, https://doi.org/10.1007/s13143-016-0032-x, 2016. a
Kyrölä, E., Tamminen, J., Leppelmeier, G. W., Sofieva, V., Hassinen, S., Bertaux, J. L., Hauchecorne, A., Dalaudier, F., Cot, C., Korablev, O., Fanton D'Andon, O., Barrot, G., Mangin, A., Théodore, B., Guirlet, M., Etanchaud, F., Snoeij, P., Koopman, R., Saavedra, L., Fraisse, R., Fussen, D., and Vanhellemont, F.: GOMOS on Envisat: an overview, Adv. Space Res., 33, 1020–1028, https://doi.org/10.1016/S0273-1177(03)00590-8, 2004. a
Lefever, K., van der A, R., Baier, F., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Inness, A., Jones, L., Lambert, J.-C., Langerock, B., Schultz, M. G., Stein, O., Wagner, A., and Chabrillat, S.: Copernicus stratospheric ozone service, 2009–2012: validation, system intercomparison and roles of input data sets, Atmos. Chem. Phys., 15, 2269–2293, https://doi.org/10.5194/acp-15-2269-2015, 2015. a
Livesey, N. J., Read, W. G., Wagner, P. A., Froidevaux, L., Lambert, A., Manney, G. L., Millán, L. F., Pumphrey, H. C., Santee, M. L., Schwartz, M. J., Wang, S., Fuller, R. A., Jarnot, R. F., Knosp, B. W., Martinez, E., and Lay, R. R.: Earth Observing System (EOS) Aura Microwave Limb Sounder (MLS) Version 4.2x Level 2 and 3 data quality and description document, JPL, Tech. Rep. D-33509 Rev. E, 174 pp., available at: https://mls.jpl.nasa.gov/data/v4-2_data_quality_document.pdf (last access: 22 June 2021), 2020. a, b, c
Llewellyn, E. J., Lloyd, N. D., Degenstein, D. A., Gattinger, R. L., Petelina, S. V., Bourassa, A. E., Wiensz, J. T., Ivanov, E. V., McDade, I. C., Solheim, B. H., McConnell, J. C., Haley, C. S., von Savigny, C., Sioris, C. E., McLinden, C. A., Griffioen, E., Kaminski, J., Evans, W. F., Puckrin, E., Strong, K., Wehrle, V., Hum, R. H., Kendall, D. J., Matsushita, J., Murtagh, D. P., Brohede, S., Stegman, J., Witt, G., Barnes, G., Payne, W. F., Piché, L., Smith, K., Warshaw, G., Deslauniers, D. L., Marchand, P., Richardson, E. H., King, R. A., Wevers, I., McCreath, W., Kyrölä, E., Oikarinen, L., Leppelmeier, G. W., Auvinen, H., Mégie, G., Hauchecorne, A., Lefèvre, F., de La Nöe, J., Ricaud, P., Frisk, U., Sjoberg, F., von Schéele, F., and Nordh, L.: The OSIRIS instrument on the Odin spacecraft, Can. J. Phys., 82, 411–422, https://doi.org/10.1139/p04-005, 2004. a
Maisonobe, L., Parraud, P., Journot, M., and Alcarraz-Garcia, A.:
Multi-satellites Precise Orbit Determination, an adaptable open-source
implementation, in: 2018 SpaceOps Conference, Marseille, France, 28 May–1 June 2018, https://doi.org/10.2514/6.2018-2622, 2018. a
Masutani, M., Schlatter, T. W., Errico, R. M., Stoffelen, A., Andersson, E., Lahoz, W., Woollen, J. S., Emmitt, G. D., Riishojgaard, L.-P., and Lord, S. J.: Observing System Simulation Experiments, in: Data Assimilation, edited by: Lahoz, W., Khattatov, B., and Menard, R., Springer, Berlin, Heidelberg, 647–679, https://doi.org/10.1007/978-3-540-74703-1_24, 2010. a, b
Mauldin-III, L. E., Zaun, N. H., McCormick, M. P., Guy, J. H., and Vaughn, W. R.: Stratospheric aerosol and gas experiment II instrument: a functional description, Opt. Eng., 24, 307–312, 1985. a
Monge-Sanz, B. M., Chipperfield, M. P., Cariolle, D., and Feng, W.: Results from a new linear O3 scheme with embedded heterogeneous chemistry compared with the parent full-chemistry 3-D CTM, Atmos. Chem. Phys., 11, 1227–1242, https://doi.org/10.5194/acp-11-1227-2011, 2011. a, b, c
Montrone, L., Aballea, L., Bernaerts, D., Navarro-Reyes, D., Santandrea, S., Saillen, N., Sarna, K., Holbrouck, P., Moelans, W., Kendall, D., Mollet, D., Nutte, R. D., Demidov, S., Saari, H., Ward, J., Kassel, R., Fussen, D., Dekemper, E., Neefs, E., and Vanhamel, J.: Technological innovation for the ALTIUS atmospheric limb sounding mission, in: Sensors, Systems, and Next-Generation Satellites XXIII, edited by: Neeck, S. P., Martimort, P., and Kimura, T., vol. 11151, International Society for Optics and Photonics, SPIE, 114–133, https://doi.org/10.1117/12.2533151, 2019. a
Moy, L., Bhartia, P. K., Jaross, G., Loughman, R., Kramarova, N., Chen, Z., Taha, G., Chen, G., and Xu, P.: Altitude registration of limb-scattered radiation, Atmos. Meas. Tech., 10, 167–178, https://doi.org/10.5194/amt-10-167-2017, 2017. a
Rault, D. F.: Ozone profile retrieval from Stratospheric Aerosol and Gas Experiment (SAGE III) limb scatter measurements, J. Geophys. Res.-Atmos., 110, D09309, https://doi.org/10.1029/2004JD004970, 2005. a
Rault, D. F. and Xu, P. Q.: Expected data quality from the upcoming OMPS/LP mission, in: Remote Sensing of Clouds and the Atmosphere XVI, edited by: Kassianov, E. I., Comeron, A., Picard, R. H., and Schäfer, K., vol. 8177, International Society for Optics and Photonics, SPIE, 77–88, https://doi.org/10.1117/12.897848, 2011. a
Skachko, S., Errera, Q., Ménard, R., Christophe, Y., and Chabrillat, S.: Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model, Geosci. Model Dev., 7, 1451–1465, https://doi.org/10.5194/gmd-7-1451-2014, 2014. a, b
Skachko, S., Ménard, R., Errera, Q., Christophe, Y., and Chabrillat, S.: EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06), Geosci. Model Dev., 9, 2893–2908, https://doi.org/10.5194/gmd-9-2893-2016, 2016. a
SPARC: The SPARC Data Initiative: Assessment of stratospheric trace gas and
aerosol climatologies from satellite limb sounders, edited by: Hegglin, M. I. and Tegtmeier, S., SPARC Report No. 8, https://doi.org/10.3929/ethz-a-010863911, 2017. a
SPARC/IO3C/GAW: SPARC/IO3C/GAW Report on Long-term Ozone Trends and
Uncertainties in the Stratosphere, edited by: Petropavlovskikh, I.,
Godin-Beekmann, S., Hubert, D., Damadeo, R., Hassler, D., and Sofieva, V.,
SPARC Report No. 9, GAW Report No. 241, WCRP-17/2018,
https://doi.org/10.17874/f899e57a20b, available at:
http://www.sparc-climate.org/publications/sparc-reports (last access: 22 June 2021), 2019. a
Sterling, C. W., Johnson, B. J., Oltmans, S. J., Smit, H. G. J., Jordan, A. F., Cullis, P. D., Hall, E. G., Thompson, A. M., and Witte, J. C.: Homogenizing and estimating the uncertainty in NOAA's long-term vertical ozone profile records measured with the electrochemical concentration cell ozonesonde, Atmos. Meas. Tech., 11, 3661–3687, https://doi.org/10.5194/amt-11-3661-2018, 2018. a
Timmermans, R., Lahoz, W., Attié, J.-L., Peuch, V.-H., Curier, R., Edwards, D., Eskes, H., and Builtjes, P.: Observing System Simulation Experiments for air quality, Atmos. Environ., 115, 199–213, https://doi.org/10.1016/j.atmosenv.2015.05.032, 2015. a, b
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
Vrancken, D., Gerrits, D., Tallineau, J., Hove, J. V., Holsters, P.,
Naudet, J., Ilsen, S., Dayers, L., Keereman, A., Wierinck, D.,
Debraekeleer, T., Fussen, D., Dekemper, E., Pieroux, D., Vanhellemont, F.,
Mateshvili, N., Franssens, G., Vanhamel, J., Opstal, B. V., Neefs, E.,
Maes, J., Aballea, L., Geeter, K. D., and Vos, L. D.: ALTIUS: High performance Limb Tracker, based on a PROBA platform, in: Proceedings of the International Astronautical Congress, IAC, Toronto, Canada, 20 September–3 October 2014, 3677–3688, 2014. a
Wargan, K., Labow, G., Frith, S., Pawson, S., Livesey, N., and Partyka, G.: Evaluation of the Ozone Fields in NASA's MERRA-2 Reanalysis, J. Climate, 30, 2961–2988, https://doi.org/10.1175/JCLI-D-16-0699.1, 2017. a
Waters, J. W., Froidevaux, L., Harwood, R. S., Jarnot, R. F., Pickett, H. M., Read, W. G., Siegel, P. H., Cofield, R. E., Filipiak, M. J., Flower, D. A., Holden, J. R., Lau, G. K., Livesey, N. J., Manney, G. L., Pumphrey, H. C., Santee, M. L., Wu, D. L., Cuddy, D. T., Lay, R. R., Loo, M. S., Perun, V. S., Schwartz, M. J., Stek, P. C., Thurstans, R. P., Boyles, M. A., Chandra, K. M., Chavez, M. C., Gun-Shing Chen, Chudasama, B. V., Dodge, R., Fuller, R. A., Girard, M. A., Jiang, J. H., Yibo Jiang, Knosp, B. W., LaBelle, R. C., Lam, J. C., Lee, K. A., Miller, D., Oswald, J. E., Patel, N. C., Pukala, D. M., Quintero, O., Scaff, D. M., VanSnyder, W., Tope, M. C., Wagner, P. A., and Walch, M. J.: The Earth observing system microwave limb sounder (EOS MLS) on the aura Satellite, IEEE T. Geosci. Remote, 44, 1075–1092, https://doi.org/10.1109/TGRS.2006.873771, 2006. a, b
Wenger, M., Ochsenbein, F., Egret, D., Dubois, P., Bonnarel, F., Borde, S.,
Genova, F., Jasniewicz, G., Laloë, S., Lesteven, S., and Monier, R.: The SIMBAD astronomical database – The CDS reference database for astronomical objects, Astron. Astrophys. Sup., 143, 9–22, https://doi.org/10.1051/aas:2000332, 2000. a
WMO: Scientific Assessment of Ozone Depletion: 2018, WMO (World Meteorological Organization), Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research and Monitoring Project – Report No. 58, Geneva, Switzerland, 588 pp., 2018. a
Short summary
ALTIUS is a micro-satellite which will measure the distribution of the ozone layer. Micro-satellites are intended to be cost-effective, but does this make the ALTIUS measurements any less valuable? To answer this, we simulated ALTIUS data and measured how it could constrain a model of the ozone layer; we then compared these results with those obtained from the state-of-the-art NASA Aura MLS satellite ozone measurements. The outcome shows us that the ALTIUS
budgetinstrument is indeed valuable.
ALTIUS is a micro-satellite which will measure the distribution of the ozone layer....
