Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1673-2021
© 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-14-1673-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Mar 2021
Research article |
| 01 Mar 2021
| 01 Mar 2021
Verification of the Atmospheric Infrared Sounder (AIRS) and the Microwave Limb Sounder (MLS) ozone algorithms based on retrieved daytime and night-time ozone
Wannan Wang
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
University of Chinese Academy of Sciences, Beijing 100049, China
Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE, the Netherlands
Tianhai Cheng
CORRESPONDING AUTHOR
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Ronald J. van der A
Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE, the Netherlands
Jos de Laat
Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE, the Netherlands
Jason E. Williams
Royal Netherlands Meteorological Institute (KNMI), De Bilt 3730 AE, the Netherlands
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Yutao Chen, Ronald J. van der A, Jieying Ding, Henk Eskes, Felipe Cifuentes, and Pieternel F. Levelt
EGUsphere, https://doi.org/10.5194/egusphere-2025-4490, https://doi.org/10.5194/egusphere-2025-4490, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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The SO2 gridded point emissions calculated from satellite measurements appear spread out around the source. This is inherent to the inversion method and the resolution of the satellite measurements. We made a new deconvolution algorithm to reverse the spreading and make the emission signal clearer. With this method, the effective resolution is improved. Known sources can be located more precisely, and new ones can be found from space. The same approach also works for other gases like NOx.
Gunnar Myhre, Øivind Hodnebrog, Srinath Krishnan, Maria Sand, Marit Sandstad, Ragnhild B. Skeie, Lieven Clarisse, Bruno Franco, Dylan B. Millet, Kelley C. Wells, Alexander Archibald, Hannah N. Bryant, Alex T. Chaudhri, David S. Stevenson, Didier Hauglustaine, Michael Prather, J. Christopher Kaiser, Dirk J. L. Olivie, Michael Schulz, Oliver Wild, Ye Wang, Thérèse Salameh, Jason E. Williams, Philippe Le Sager, Fabien Paulot, Kostas Tsigaridis, and Haley E. Plaas
EGUsphere, https://doi.org/10.5194/egusphere-2025-3057, https://doi.org/10.5194/egusphere-2025-3057, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Volatile organic compounds (VOCs) affect air quality and climate, but their behavior in the atmosphere is still uncertain. We launched a global research effort to compare how different models represent these compounds and to improve their accuracy. By analyzing model results alongside observations and satellite data, we aim to better understand the atmospheric composition of these compounds.
Simon Chabrillat, Samuel Rémy, Quentin Errera, Vincent Huijnen, Christine Bingen, Jonas Debosscher, François Hendrick, Swen Metzger, Adrien Mora, Daniele Minganti, Marc Op de beek, Léa Reisenfeld, Jason E. Williams, Henk Eskes, and Johannes Flemming
EGUsphere, https://doi.org/10.5194/egusphere-2025-1327, https://doi.org/10.5194/egusphere-2025-1327, 2025
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We document the forecasts of the composition of the stratosphere by the Copernicus Atmosphere Monitoring Service. The model's predictions are compared with satellite measurements over a recent period, during polar ozone depletion events, and after the Mount Pinatubo volcanic eruption. The system performs well for sulfate aerosols, ozone and several other key gases but not as well for several nitrogen-containing gases. Chemical processes in aerosols and polar clouds should be improved.
Yutao Chen, Ronald J. van der A, Jieying Ding, Henk Eskes, Jason E. Williams, Nicolas Theys, Athanasios Tsikerdekis, and Pieternel F. Levelt
Atmos. Chem. Phys., 25, 1851–1868, https://doi.org/10.5194/acp-25-1851-2025, https://doi.org/10.5194/acp-25-1851-2025, 2025
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There is a lack of local SO2 top-down emission inventories in India. With the improvement in the divergence method and the derivation of SO2 local lifetime, gridded SO2 emissions over a large area can be estimated efficiently. This method can be applied to any region in the world to derive SO2 emissions. Especially for regions with high latitudes, our methodology has the potential to significantly improve the top-down derivation of SO2 emissions.
Jason Williams, Swen Metzer, Samuel Remy, Vincent Huijnen, and Johannes Flemming
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-188, https://doi.org/10.5194/gmd-2024-188, 2024
Revised manuscript under review for GMD
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One of the main constituents of Particulate Matter at the surface are Secondary Inorganic Aerosols (SIA) which are influenced by both anthropogenic emissions and the acidity of clouds and aerosols. This study shows improvements in introduced into the IFS-COMPO simulating the surface concentrations of SIA and the resulting changes in the total wet deposition for Europe, the US and South-East Asia.
Samuel Rémy, Swen Metzger, Vincent Huijnen, Jason E. Williams, and Johannes Flemming
Geosci. Model Dev., 17, 7539–7567, https://doi.org/10.5194/gmd-17-7539-2024, https://doi.org/10.5194/gmd-17-7539-2024, 2024
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In this paper we describe the development of the future operational cycle 49R1 of the IFS-COMPO system, used for operational forecasts of atmospheric composition in the CAMS project, and focus on the implementation of the thermodynamical model EQSAM4Clim version 12. The implementation of EQSAM4Clim significantly improves the simulated secondary inorganic aerosol surface concentration. The new aerosol and precipitation acidity diagnostics showed good agreement against observational datasets.
Jieying Ding, Ronald van der A, Henk Eskes, Enrico Dammers, Mark Shephard, Roy Wichink Kruit, Marc Guevara, and Leonor Tarrason
Atmos. Chem. Phys., 24, 10583–10599, https://doi.org/10.5194/acp-24-10583-2024, https://doi.org/10.5194/acp-24-10583-2024, 2024
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Here we applied the existing Daily Emissions Constrained by Satellite Observations (DECSO) inversion algorithm to NH3 observations from the CrIS satellite instrument to estimate NH3 emissions. As NH3 in the atmosphere is influenced by NOx, we implemented DECSO to estimate NOx and NH3 emissions simultaneously. The emissions are derived over Europe for 2020 at a spatial resolution of 0.2° using daily observations from CrIS and TROPOMI. Results are compared to bottom-up emission inventories.
Mengyao Liu, Ronald van der A, Michiel van Weele, Lotte Bryan, Henk Eskes, Pepijn Veefkind, Yongxue Liu, Xiaojuan Lin, Jos de Laat, and Jieying Ding
Atmos. Meas. Tech., 17, 5261–5277, https://doi.org/10.5194/amt-17-5261-2024, https://doi.org/10.5194/amt-17-5261-2024, 2024
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A new divergence method was developed and applied to estimate methane emissions from TROPOMI observations over the Middle East, where it is typically challenging for a satellite to measure methane due to its complicated orography and surface albedo. Our results show the potential of TROPOMI to quantify methane emissions from various sources rather than big emitters from space after objectively excluding the artifacts in the retrieval.
Ronald J. van der A, Jieying Ding, and Henk Eskes
Atmos. Chem. Phys., 24, 7523–7534, https://doi.org/10.5194/acp-24-7523-2024, https://doi.org/10.5194/acp-24-7523-2024, 2024
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Using observations of the Sentinel-5P satellite and the latest version of the inversion algorithm DECSO, anthropogenic NOx emissions are derived for Europe for the years 2019–2022 with a spatial resolution of 0.2°. The results are compared with European emissions of the Copernicus Atmosphere Monitoring Service.
Swen Metzger, Samuel Rémy, Jason E. Williams, Vincent Huijnen, and Johannes Flemming
Geosci. Model Dev., 17, 5009–5021, https://doi.org/10.5194/gmd-17-5009-2024, https://doi.org/10.5194/gmd-17-5009-2024, 2024
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EQSAM4Clim has recently been revised to provide an accurate and efficient method for calculating the acidity of atmospheric particles. It is based on an analytical concept that is sufficiently fast and free of numerical noise, which makes it attractive for air quality forecasting. Version 12 allows the calculation of aerosol composition based on the gas–liquid–solid and the reduced gas–liquid partitioning with the associated water uptake for both cases, including the acidity of the aerosols.
Adrianus de Laat, Jos van Geffen, Piet Stammes, Ronald van der A, Henk Eskes, and J. Pepijn Veefkind
Atmos. Chem. Phys., 24, 4511–4535, https://doi.org/10.5194/acp-24-4511-2024, https://doi.org/10.5194/acp-24-4511-2024, 2024
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Removal of stratospheric nitrogen oxides is crucial for the formation of the ozone hole. TROPOMI satellite measurements of nitrogen dioxide reveal the presence of a not dissimilar "nitrogen hole" that largely coincides with the ozone hole. Three very distinct regimes were identified: inside and outside the ozone hole and the transition zone in between. Our results introduce a valuable and innovative application highly relevant for Antarctic ozone hole and ozone layer recovery.
Xiaojuan Lin, Ronald van der A, Jos de Laat, Henk Eskes, Frédéric Chevallier, Philippe Ciais, Zhu Deng, Yuanhao Geng, Xuanren Song, Xiliang Ni, Da Huo, Xinyu Dou, and Zhu Liu
Atmos. Chem. Phys., 23, 6599–6611, https://doi.org/10.5194/acp-23-6599-2023, https://doi.org/10.5194/acp-23-6599-2023, 2023
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Satellite observations provide evidence for CO2 emission signals from isolated power plants. We use these satellite observations to quantify emissions. We found that for power plants with multiple observations, the correlation of estimated and reported emissions is significantly improved compared to a single observation case. This demonstrates that accurate estimation of power plant emissions can be achieved by monitoring from future satellite missions with more frequent observations.
Xiumei Zhang, Ronald van der A, Jieying Ding, Xin Zhang, and Yan Yin
Atmos. Chem. Phys., 23, 5587–5604, https://doi.org/10.5194/acp-23-5587-2023, https://doi.org/10.5194/acp-23-5587-2023, 2023
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We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
Hanqing Kang, Bin Zhu, Gerrit de Leeuw, Bu Yu, Ronald J. van der A, and Wen Lu
Atmos. Chem. Phys., 22, 10623–10634, https://doi.org/10.5194/acp-22-10623-2022, https://doi.org/10.5194/acp-22-10623-2022, 2022
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This study quantified the contribution of each urban-induced meteorological effect (temperature, humidity, and circulation) to aerosol concentration. We found that the urban heat island (UHI) circulation dominates the UHI effects on aerosol. The UHI circulation transports aerosol and its precursor gases from the warmer lower boundary layer to the colder lower free troposphere and promotes the secondary formation of ammonium nitrate aerosol in the cold atmosphere.
Jason E. Williams, Vincent Huijnen, Idir Bouarar, Mehdi Meziane, Timo Schreurs, Sophie Pelletier, Virginie Marécal, Beatrice Josse, and Johannes Flemming
Geosci. Model Dev., 15, 4657–4687, https://doi.org/10.5194/gmd-15-4657-2022, https://doi.org/10.5194/gmd-15-4657-2022, 2022
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The global CAMS air quality model is used for providing tropospheric ozone information to end users. This paper updates the chemical mechanism employed (CBA) and compares it against two other mechanisms (MOCAGE, MOZART) and a multi-decadal dataset based on a previous version of CBA. We perform extensive validation for the US using multiple surface and aircraft datasets, providing an assessment of biases and the extent of correlation across different seasons during 2014.
Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
Atmos. Chem. Phys., 22, 5925–5942, https://doi.org/10.5194/acp-22-5925-2022, https://doi.org/10.5194/acp-22-5925-2022, 2022
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The importance of convection to the ozone and nitrogen oxides (NOx) produced from lightning has long been an open question. We utilize the high-resolution chemistry model with ozonesondes and space observations to discuss the effects of convection over southeastern China, where few studies have been conducted. Our results show the transport and chemistry contributions for various storms and demonstrate the ability of TROPOMI to estimate the lightning NOx production over small-scale convection.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
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The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Steffen Beirle, Christian Borger, Steffen Dörner, Henk Eskes, Vinod Kumar, Adrianus de Laat, and Thomas Wagner
Earth Syst. Sci. Data, 13, 2995–3012, https://doi.org/10.5194/essd-13-2995-2021, https://doi.org/10.5194/essd-13-2995-2021, 2021
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A catalog of point sources of nitrogen oxides was created using satellite observations of NO2. Key for the identification of point sources was the divergence, i.e., the difference between upwind and downwind levels of NO2.
The catalog lists 451 locations, of which 242 could be automatically matched to power plants. Other point sources are metal smelters, cement plants, or industrial areas. The catalog thus allows checking and improving of existing emission inventories.
Cheng Fan, Zhengqiang Li, Ying Li, Jiantao Dong, Ronald van der A, and Gerrit de Leeuw
Atmos. Chem. Phys., 21, 7723–7748, https://doi.org/10.5194/acp-21-7723-2021, https://doi.org/10.5194/acp-21-7723-2021, 2021
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Emission control policy in China has resulted in the decrease of nitrogen dioxide concentrations, which however leveled off and stabilized in recent years, as shown from satellite data. The effects of the further emission reduction during the COVID-19 lockdown in 2020 resulted in an initial improvement of air quality, which, however, was offset by chemical and meteorological effects. The study shows the regional dependence over east China, and results have a wider application than China only.
Wannan Wang, Ronald van der A, Jieying Ding, Michiel van Weele, and Tianhai Cheng
Atmos. Chem. Phys., 21, 7253–7269, https://doi.org/10.5194/acp-21-7253-2021, https://doi.org/10.5194/acp-21-7253-2021, 2021
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We developed a method to determine the type of photochemical regime of ozone formation by using only satellite observations of formaldehyde and nitrogen dioxide as well as ozone measurements on the ground. It was found that many cities in China, because of their high level of air pollution, are in the so-called VOC-limited photochemical regime. This means that the current reductions of nitrogen dioxide resulted in higher levels of photochemical smog in these cities.
Nicola Zoppetti, Simone Ceccherini, Bruno Carli, Samuele Del Bianco, Marco Gai, Cecilia Tirelli, Flavio Barbara, Rossana Dragani, Antti Arola, Jukka Kujanpää, Jacob C. A. van Peet, Ronald van der A, and Ugo Cortesi
Atmos. Meas. Tech., 14, 2041–2053, https://doi.org/10.5194/amt-14-2041-2021, https://doi.org/10.5194/amt-14-2041-2021, 2021
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The new platforms for Earth observation from space will provide an enormous amount of data that can be hard to exploit as a whole. The Complete Data Fusion algorithm can reduce the data volume while retaining the information of the full dataset. In this work, we applied the Complete Data Fusion algorithm to simulated ozone profiles, and the results show that the fused products are characterized by higher information content compared to individual L2 products.
Stelios Myriokefalitakis, Nikos Daskalakis, Angelos Gkouvousis, Andreas Hilboll, Twan van Noije, Jason E. Williams, Philippe Le Sager, Vincent Huijnen, Sander Houweling, Tommi Bergman, Johann Rasmus Nüß, Mihalis Vrekoussis, Maria Kanakidou, and Maarten C. Krol
Geosci. Model Dev., 13, 5507–5548, https://doi.org/10.5194/gmd-13-5507-2020, https://doi.org/10.5194/gmd-13-5507-2020, 2020
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This work documents and evaluates the detailed tropospheric gas-phase chemical mechanism MOGUNTIA in the three-dimensional chemistry transport model TM5-MP. The Rosenbrock solver, as generated by the KPP software, is implemented in the chemistry code, which can successfully replace the classical Euler backward integration method. The MOGUNTIA scheme satisfactorily simulates a large suite of oxygenated volatile organic compounds (VOCs) that are observed in the atmosphere at significant levels.
Cited articles
AIRS Science Team/Joao Teixeira: AIRS/Aqua L3 Daily Standard Physical Retrieval (AIRS-only), 1∘ × 1∘, V006, Goddard Earth Sciences Data and Information Services Center (GES DISC),
Greenbelt, Maryland, USA, https://doi.org/10.5067/Aqua/AIRS/DATA303, 2013a.
AIRS Science Team/Joao Teixeira: AIRS/Aqua L2 Standard Physical Retrieval (AIRS-only), V006, Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, Maryland, USA, https://doi.org/10.5067/Aqua/AIRS/DATA202, 2013b.
American Meteorological Society: https://www.ametsoc.org/index.cfm/ams/publications/bulletin-of-the-american-meteorological-society-bams/state-of-the-climate/ (last access: 13 April 2020), 2011.
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E.,
McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin, D.
H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the aqua mission:
design, science objectives, data products, and processing systems,
IEEE T. Geosci. Remote, 41, 253–264, https://doi.org/10.1109/TGRS.2002.808356, 2003.
Aumann, H. H., Broberg, S. E., Manning, E. M., Pagano, T. S., and Wilson, R.
C.: Evaluating the Absolute Calibration Accuracy and Stability of AIRS Using
the CMC SST, Remote Sens.-Basel, 12, 2743, https://doi.org/10.3390/rs12172743, 2020.
Ball, W. T., Alsing, J., Mortlock, D. J., Staehelin, J., Haigh, J. D., Peter, T., Tummon, F., Stübi, R., Stenke, A., Anderson, J., Bourassa, A., Davis, S. M., Degenstein, D., Frith, S., Froidevaux, L., Roth, C., Sofieva, V., Wang, R., Wild, J., Yu, P., Ziemke, J. R., and Rozanov, E. V.: Evidence for a continuous decline in lower stratospheric ozone offsetting ozone layer recovery, Atmos. Chem. Phys., 18, 1379–1394, https://doi.org/10.5194/acp-18-1379-2018, 2018.
Ball, W. T., Alsing, J., Staehelin, J., Davis, S. M., Froidevaux, L., and Peter, T.: Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability, Atmos. Chem. Phys., 19, 12731–12748, https://doi.org/10.5194/acp-19-12731-2019, 2019.
Barnett, J. J., Houghton, J. T., and Pyle, J. A.: The temperature dependence of the ozone concentration near the stratopause, Q. J. Roy. Meteor. Soc., 101, 245–257, https://doi.org/10.1002/qj.49710142808, 1975.
Bauduin, S., Clarisse, L., Theunissen, M., George, M., Hurtmans, D.,
Clerbaux, C., and Coheur, P.-F.: IASI's sensitivity to near-surface carbon
monoxide (CO): Theoretical analyses and retrievals on test cases,
J. Quant. Spectrosc. Ra., 189, 428–440, https://doi.org/10.1016/j.jqsrt.2016.12.022, 2017.
Brown, S. S., Neuman, J. A., Ryerson, T. B., Trainer, M., Dube, W. P.,
Holloway, J. S., Warneke, C., de Gouw, J. A., Donnelly, S. G., Atlas, E.,
Matthew, B., Middlebrook, A. M., Peltier, R., Weber, R. J., Stohl, A.,
Meagher, J. F., Fehsenfeld, F. C., and Ravishankara, A. R.: Nocturnal
odd-oxygen budget and its implications for ozone loss in the lower
troposphere, Geophys. Res. Lett., 33, L08801, https://doi.org/10.1029/2006GL025900,
2006.
Brühl, C., Drayson, S. R., Russell, J. M., Crutzen, P. J., McInerney, J.
M., Purcell, P. N., Claude, H., Gernandt, H., McGee, T. J., and McDermid, I.
S.: Halogen Occultation Experiment ozone channel validation,
J. Geophys. Res., 101, 10217–10240, https://doi.org/10.1029/95JD02031, 1996.
Chahine, M. T., Pagano, T. S., Aumann, H. H., Atlas, R., Barnet, C.,
Blaisdell, J., Chen, L., Divakarla, M., Fetzer, E. J., Goldberg, M.,
Gautier, C., Granger, S., Hannon, S., Irion, F. W., Kakar, R., Kalnay, E.,
Lambrigtsen, B. H., Lee, S.-Y., Le Marshall, J., McMillan, W. W., McMillin,
L., Olsen, E. T., Revercomb, H., Rosenkranz, P., Smith, W. L., Staelin, D.,
Strow, L. L., Susskind, J., Tobin, D., Wolf, W., and Zhou, L.: AIRS:
Improving Weather Forecasting and Providing New Data on Greenhouse Gases,
B. Am. Meteorol. Soc., 87, 911–926, https://doi.org/10.1175/BAMS-87-7-911, 2006.
Chapman, S.: A theory of upperatmospheric ozone, Memoirs of the Royal Meteorological Society, 3, 103–125, 1930.
Chipperfield, M. P., Bekki, S., Dhomse, S., Harris, N. R. P., Hassler, B.,
Hossaini, R., Steinbrecht, W., Thieblemont, R., and Weber, M.: Detecting
recovery of the stratospheric ozone layer, Nature, 549, 211–218,
https://doi.org/10.1038/nature23681, 2017.
Connor, B. J., Siskind, D. E., Tsou, J., Parrish, A., and Remsberg, E. E.:
Ground-based microwave observations of ozone in the upper stratosphere and
mesosphere, J. Geophys. Res., 99, 16757–16770, https://doi.org/10.1029/94JD01153, 1994.
Craig, R. A. and Ohring, G.: The temperature dependence of ozone
radiational heating rates in the vicinity of the mesopeak, J. Meteorol., 15, 59–62, https://doi.org/10.1175/1520-0469(1958)015<0059:TTDOOR>2.0.CO;2, 1958.
Cunnold, D., Chu, W., Barnes, R., McCormick, M., and Veiga, R.: Validation
of SAGE II ozone measurements, J. Geophys. Res., 94, 8447–8460,
https://doi.org/10.1029/JD094iD06p08447, 1989.
Divakarla, M., Barnet, C., Goldberg, M., Maddy, E., Irion, F., Newchurch,
M., Liu, X. P., Wolf, W., Flynn, L., Labow, G., Xiong, X. Z., Wei, J., and
Zhou, L. H.: Evaluation of Atmospheric Infrared Sounder ozone profiles and
total ozone retrievals with matched ozonesonde measurements, ECMWF ozone
data, and Ozone Monitoring Instrument retrievals, J. Geophys. Res., 113,
D15308, https://doi.org/10.1029/2007JD009317, 2008.
Evans, W. and Llewellyn, E.: Measurements of mesospheric ozone from
observations of the 1.27 µm band, Radio Sci., 7, 45–50,
https://doi.org/10.1029/RS007i001p00045, 1972.
Feltz, M., Borbas, E., Knuteson, R., Hulley, G., and Hook, S.: The Combined
ASTER and MODIS Emissivity over Land (CAMEL) Global Broadband Infrared
Emissivity Product, Remote Sens.-Basel, 10, 1027,
https://doi.org/10.3390/rs10071027, 2018.
Fioletov, V. E., Bodeker, G. E., Miller, A. J., McPeters, R. D., and
Stolarski, R.: Global and zonal total ozone variations estimated from
ground-based and satellite measurements: 1964–2000, J. Geophys. Res.,
107, 4647, https://doi.org/10.1029/2001JD001350, 2002.
Frith, S. M., Bhartia, P. K., Oman, L. D., Kramarova, N. A., McPeters, R. D., and Labow, G. J.: Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool, Atmos. Meas. Tech., 13, 2733–2749, https://doi.org/10.5194/amt-13-2733-2020, 2020.
Froidevaux, L., Jiang, Y. B., Lambert, A., Livesey, N. J., Read, W. G.,
Waters, J. W., Browell, E. V., Hair, J. W., Avery, M. A., McGee, T. J.,
Twigg, L. W., Sumnicht, G. K., Jucks, K. W., Margitan, J. J., Sen, B.,
Stachnik, R. A., Toon, G. C., Bernath, P. F., Boone, C. D., Walker, K. A.,
Filipiak, M. J., Harwood, R. S., Fuller, R. A., Manney, G. L., Schwartz, M.
J., Daffer, W. H., Drouin, B. J., Cofield, R. E., Cuddy, D. T., Jarnot, R.
F., Knosp, B. W., Perun, V. S., Snyder, W. V., Stek, P. C., Thurstans, R.
P., and Wagner, P. A.: Validation of aura microwave limb sounder
stratospheric ozone measurements, J. Geophys. Res., 113, D15S20,
https://doi.org/10.1029/2007JD008771, 2008.
Fu, D., Worden, J. R., Liu, X., Kulawik, S. S., Bowman, K. W., and Natraj, V.: Characterization of ozone profiles derived from Aura TES and OMI radiances, Atmos. Chem. Phys., 13, 3445–3462, https://doi.org/10.5194/acp-13-3445-2013, 2013.
Fu, D., Kulawik, S. S., Miyazaki, K., Bowman, K. W., Worden, J. R., Eldering, A., Livesey, N. J., Teixeira, J., Irion, F. W., Herman, R. L., Osterman, G. B., Liu, X., Levelt, P. F., Thompson, A. M., and Luo, M.: Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation, Atmos. Meas. Tech., 11, 5587–5605, https://doi.org/10.5194/amt-11-5587-2018, 2018.
Fussen, D., Vanhellemont, F., Bingen, C., and Chabrillat, S.: Ozone profiles
from 30 to 110 km Measured by the Occultation Radiometer Instrument during
the period Aug. 1992–Apr. 1993, Geophys. Res. Lett., 27, 3449–3452,
https://doi.org/10.1029/2000GL011575, 2000.
George, M., Clerbaux, C., Bouarar, I., Coheur, P.-F., Deeter, M. N., Edwards, D. P., Francis, G., Gille, J. C., Hadji-Lazaro, J., Hurtmans, D., Inness, A., Mao, D., and Worden, H. M.: An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology, Atmos. Meas. Tech., 8, 4313–4328, https://doi.org/10.5194/amt-8-4313-2015, 2015.
Goldberg, M. D., Qu, Y., McMillin, L. M., Wolf, W., Zhou, L., and Divakarla,
M.: AIRS near-real-time products and algorithms in support of operational
numerical weather prediction,
IEEE T. Geosci. Remote, 41, 379–389, https://doi.org/10.1109/TGRS.2002.808307, 2003.
Gunson, M., Farmer, C. B., Norton, R., Zander, R., Rinsland, C. P., Shaw,
J., and Gao, B. C.: Measurements of CH4, N2O, CO, H2O, and O3 in the middle
atmosphere by the Atmospheric Trace Molecule Spectroscopy Experiment on
Spacelab 3, J. Geophys. Res., 95, 13867–13882, https://doi.org/10.1029/JD095iD09p13867, 1990.
Hays, P. and Roble, R. G.: Observation of mesospheric ozone at low
latitudes, Planetary Space Science, 21, 273–279,
https://doi.org/10.1016/0032-0633(73)90011-1, 1973.
Huang, F. T., Reber, C. A., and Austin, J.: Ozone diurnal variations
observed by UARS and their model simulation, J. Geophys. Res., 102,
12971–12985, https://doi.org/10.1029/97JD00461, 1997.
Huang, F. T., Mayr, H. G., Russell, J. M., Mlynczak, M. G., and Reber, C.
A.: Ozone diurnal variations and mean profiles in the mesosphere, lower
thermosphere, and stratosphere, based on measurements from SABER on TIMED,
J. Geophys. Res., 113, A04307, https://doi.org/10.1029/2007JA012739, 2008.
Jiang, Y. B., Froidevaux, L., Lambert, A., Livesey, N. J., Read, W. G.,
Waters, J. W., Bojkov, B., Leblanc, T., McDermid, I. S., Godin-Beekmann, S.,
Filipiak, M. J., Harwood, R. S., Fuller, R. A., Daffer, W. H., Drouin, B.
J., Cofield, R. E., Cuddy, D. T., Jarnot, R. F., Knosp, B. W., Perun, V. S.,
Schwartz, M. J., Snyder, W. V., Stek, P. C., Thurstans, R. P., Wagner, P.
A., Allaart, M., Andersen, S. B., Bodeker, G., Calpini, B., Claude, H.,
Coetzee, G., Davies, J., De Backer, H., Dier, H., Fujiwara, M., Johnson, B.,
Kelder, H., Leme, N. P., König-Langlo, G., Kyro, E., Laneve, G., Fook,
L. S., Merrill, J., Morris, G., Newchurch, M., Oltmans, S., Parrondos, M.
C., Posny, F., Schmidlin, F., Skrivankova, P., Stubi, R., Tarasick, D.,
Thompson, A., Thouret, V., Viatte, P., Vömel, H., von der Gathen, P.,
Yela, M., and Zablocki, G.: Validation of Aura Microwave Limb Sounder Ozone
by ozonesonde and lidar measurements, J. Geophys. Res., 112, D24S34,
https://doi.org/10.1029/2007JD008776. 2007.
Kaufmann, M., Gusev, O. A., Grossmann, K. U., Martin-Torres, F. J., Marsh,
D. R., and Kutepov, A. A.: Satellite observations of daytime and nighttime
ozone in the mesosphere and lower thermosphere, J. Geophys. Res., 108, 4272,
https://doi.org/10.1029/2002JD002800, 2003.
Kley, D., Crutzen, P. J., Smit, H. G. J., Vomel, H., Oltmans, S. J., Grassl,
H., and Ramanathan, V.: Observations of near-zero ozone concentrations over
the convective Pacific: Effects on air chemistry, Science, 274, 230–233,
https://doi.org/10.1126/science.274.5285.230, 1996.
Koukouli, M. E., Lerot, C., Granville, J., Goutail, F., Lambert, J.-C.,
Pommereau, J.-P. Balis, D., Zyrichidou, I., Van Roozendael, M.,
Coldewey-Egbers, M., Loyola, D., Labow, G., Frith, S., Spurr, R., and Zehner, C.: Evaluating a new homogeneous total ozone climate data record from
GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A, J. Geophys. Res.-Atmos.,
120, 12296–12312, https://doi.org/10.1002/2015JD023699, 2015.
Livesey, N. J., Filipiak, M. J., Froidevaux, L., Read, W. G., Lambert, A.,
Santee, M. L., Jiang, J. H., Pumphrey, H. C., Waters, J. W., Cofield, R. E.,
Cuddy, D. T., Daffer, W. H., Drouin, B. J., Fuller, R. A., Jarnot, R. F.,
Jiang, Y. B., Knosp, B. W., Li, Q. B., Perun, V. S., Schwartz, M. J.,
Snyder, W. V., Stek, P. C., Thurstans, R. P., Wagner, P. A., Avery, M.,
Browell, E. V., Cammas, J.-P., Christensen, L. E., Diskin, G. S., Gao,
R.-S., Jost, H.-J., Loewenstein, M., Lopez, J. D., Nedelec, P., Osterman, G.
B., Sachse, G. W., and Webster, C. R.: Validation of Aura Microwave Limb
Sounder O3 and CO observations in the upper troposphere and lower
stratosphere, J. Geophys. Res, 113, D15S02, https://doi.org/10.1029/2007jd008805, 2008.
Livesey, N. J., Read, W. G., Wagner, P. A. Frovideaux, L., Lambert, A., Manney, G. L., Millan, L., Pumphrey, H. C., Santee, M. L., Schwartz, M. J., Wang, S., Fuller, R. A., Jarnot, R. F., Knosp, B. W., and Martinez, E.: Earth Observing System (EOS) Aura Microwave Limb Sounder (MLS) Version 4.2x Level 2 data quality and description document, JPL D-33509 Rev.A, JPL publication, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA, 2015.
London, J.: Radiative Energy Sources and Sinks in the Stratosphere and Mesosphere, in: Atmospheric Ozone and its Variation and Human Influences, edited by: Nicolet, M. and Aikin, A. C., U.S. Department of Transportation, Washington, D.C., USA, 703, 1980.
Marsh, D. R., Skinner, W. R., Marshall, A. R., Hays, P. B., Ortland, D. A.,
and Yee, J. H.: High Resolution Doppler Imager observations of ozone in the
mesosphere and lower thermosphere, J. Geophys. Res., 107, 4390,
https://doi.org/10.1029/2001JD001505, 2002.
Masiello, G., Serio, C., Venafra, S., De Feis, I., and Borbas, E. E.: Diurnal
variation in Sahara desert sand emissivity during the dry season from IASI
observations, J. Geophys. Res.-Atmos., 119, 1626–1638, https://doi.org/10.1002/jgrd.50863, 2014.
Mlynczak, M. G. and Drayson, S. R.: Calculation of infrared limb emission
by ozone in the terrestrial middle atmosphere: 1. Source functions, J.
Geophys. Res., 95, 16497–16511, https://doi.org/10.1029/JD095iD10p16497, 1990.
Nalli, N. R., Gambacorta, A., Liu, Q., Tan, C., Iturbide-Sanchez, F.,
Barnet, C. D., Joseph, E., Morris, V. R., Oyola, M., and Smith, J. W.:
Validation of Atmospheric Profile Retrievals from the SNPP NOAA-Unique
Combined Atmospheric Processing System, Part 2: Ozone, IEEE T. Geosci. Remote, 56, 598–607, https://doi.org/10.1109/TGRS.2017.2762600, 2018.
Newchurch, M. J., Sun, D., and Kim, J. H.: Zonal wave-1 structure in TOMS
tropical stratospheric ozone, Geophys. Res. Lett., 28, 3151–3154,
https://doi.org/10.1029/2000GL012315, 2001.
Olsen, E., Fetzer, E., Hulley, G., Kalmus, P., Manning, E., and Wong, S.:
AIRS Version 6 Release Level 2 Product User Guide, Jet Propulsion
Laboratory, California Institute of Technology, Pasadena, California, USA, 2017.
Pallister, R. C. and Tuck, A. F.: The diurnal variation of ozone in the
upper stratosphere as a test of photochemical theory, Q. J. Roy. Meteor. Soc., 109, 271–284, https://doi.org/10.1002/qj.49710946002, 1983.
Parrish, A., Boyd, I. S., Nedoluha, G. E., Bhartia, P. K., Frith, S. M., Kramarova, N. A., Connor, B. J., Bodeker, G. E., Froidevaux, L., Shiotani, M., and Sakazaki, T.: Diurnal variations of stratospheric ozone measured by ground-based microwave remote sensing at the Mauna Loa NDACC site: measurement validation and GEOSCCM model comparison, Atmos. Chem. Phys., 14, 7255–7272, https://doi.org/10.5194/acp-14-7255-2014, 2014.
Petetin, H., Thouret, V., Athier, G., Blot, R., Boulanger, D., Cousin,
J.-M., Gaudel, A., Nédélec, P., and Cooper, O.: Diurnal cycle of
ozone throughout the troposphere over Frankfurt as measured by MOZAIC-IAGOS
commercial aircraft, Elementa: Science of the Anthropocene, 4, 000129,
https://doi.org/10.12952/journal.elementa.000129, 2016.
Pittman, J. V., Pan, L. L., Wei, J. C., Irion, F. W., Liu, X., Maddy, E. S.,
Barnet, C. D., Chance, K., and Gao, R. S.: Evaluation of AIRS, IASI, and OMI
ozone profile retrievals in the extratropical tropopause region using in
situ aircraft measurements, J. Geophys. Res., 114, D24109, https://doi.org/10.1029/2009JD012493, 2009.
Pommier, M., Clerbaux, C., Law, K. S., Ancellet, G., Bernath, P., Coheur, P.-F., Hadji-Lazaro, J., Hurtmans, D., Nédélec, P., Paris, J.-D., Ravetta, F., Ryerson, T. B., Schlager, H., and Weinheimer, A. J.: Analysis of IASI tropospheric O3 data over the Arctic during POLARCAT campaigns in 2008, Atmos. Chem. Phys., 12, 7371–7389, https://doi.org/10.5194/acp-12-7371-2012, 2012.
Prather, M. J.: Ozone in the upper stratosphere and mesosphere, J. Geophys.
Res., 86, 5325–5338, https://doi.org/10.1029/JC086iC06p05325, 1981.
Rajab, J. M., Lim, H., and MatJafri, M.: Monthly distribution of diurnal
total column ozone based on the 2011 satellite data in Peninsular Malaysia,
The Egyptian Journal of Remote Sensing and Space Science, 16, 103–109,
https://doi.org/10.1016/j.ejrs.2013.04.003, 2013.
Read, K. A., Mahajan, A. S., Carpenter, L. J., Evans, M. J., Faria, B. V.
E., Heard, D. E., Hopkins, J. R., Lee, J. D., Moller, S. J., Lewis, A. C.,
Mendes, L., McQuaid, J. B., Oetjen, H., Saiz-Lopez, A., Pilling, M. J., and
Plane, J. M. C.: Extensive halogen-mediated ozone destruction over the
tropical Atlantic Ocean, Nature, 453, 1232–1235,
https://doi.org/10.1038/nature07035, 2008.
Rex, M., Wohltmann, I., Ridder, T., Lehmann, R., Rosenlof, K., Wennberg, P., Weisenstein, D., Notholt, J., Krüger, K., Mohr, V., and Tegtmeier, S.: A tropical West Pacific OH minimum and implications for stratospheric composition, Atmos. Chem. Phys., 14, 4827–4841, https://doi.org/10.5194/acp-14-4827-2014, 2014.
Sakazaki, T., Fujiwara, M., Mitsuda, C., Imai, K., Manago, N., Naito, Y.,
Nakamura, T., Akiyoshi, H., Kinnison, D., Sano, T., Suzuki, M., and
Shiotani, M.: Diurnal ozone variations in the stratosphere revealed in
observations from the Superconducting Submillimeter-Wave Limb-Emission
Sounder (SMILES) on board the International Space Station (ISS),
J. Geophys. Res.-Atmos., 118, 2991–3006, https://doi.org/10.1002/jgrd.50220, 2013.
Schanz, A., Hocke, K., and Kämpfer, N.: Daily ozone cycle in the stratosphere: global, regional and seasonal behaviour modelled with the Whole Atmosphere Community Climate Model, Atmos. Chem. Phys., 14, 7645–7663, https://doi.org/10.5194/acp-14-7645-2014, 2014.
Schwartz, M., Froidevaux, L., Livesey, N., and Read, W.: MLS/Aura Level 2, Ozone (O3) Mixing Ratio V004, Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, Maryland, USA, https://doi.org/10.5067/Aura/MLS/DATA2017, 2015.
Seemann, S. W., Borbas, E. E., Knuteson, R. O., Stephenson, G. R., and
Huang, H.-L.: Development of a global infrared land surface emissivity
database for application to clear sky sounding retrievals from multispectral
satellite radiance measurements, J. Appl. Meteorol. Clim., 47, 108–123,
https://doi.org/10.1175/2007JAMC1590.1, 2008.
Simpson, D., Arneth, A., Mills, G., Solberg, S., and Uddling, J.: Ozone –
the persistent menace: interactions with the N cycle and climate change,
Curr. Opin. Env. Sust., 9–10, 9–19, https://doi.org/10.1016/j.cosust.2014.07.008, 2014.
Sitnov, S. A. and Mokhov, I. I.: Satellite-derived peculiarities of total ozone field under atmospheric blocking conditions over the European part of Russia in summer 2010, Russ. Meteorol. Hydro.+, 41, 28–36, https://doi.org/10.3103/S1068373916010040, 2016.
Smith, A. K. and Marsh, D. R.: Processes that account for the ozone maximum
at the mesopause, J. Geophys. Res., 110, D23305, https://doi.org/10.1029/2005JD006298, 2005.
Smith, A. K., Lopez-Puertas, M., Funke, B., Garcia-Comas, M., Mlynczak, M.
G., and Holt, L. A.: Nighttime ozone variability in the high latitude winter
mesosphere, J. Geophys. Res.-Atmos., 119, 13547–13564, https://doi.org/10.1002/2014JD021987, 2014.
Smith, N. and Barnet, C. D.: Uncertainty Characterization and Propagation in
the Community Long-Term Infrared Microwave Combined Atmospheric Product
System (CLIMCAPS), Remote Sens.-Basel, 11, 1227, https://doi.org/10.3390/rs11101227, 2019.
Strode, S. A., Ziemke, J. R., Oman, L. D., Lamsal, L. N., Olsen, M. A., and
Liu, J.: Global changes in the diurnal cycle of surface
ozone, Atmos. Environ., 199, 323–333, https://doi.org/10.1016/j.atmosenv.2018.11.028, 2019.
Susskind, J., Barnet, C. D., and Blaisdell, J. M.: Retrieval of atmospheric
and surface parameters from AIRS/AMSU/HSB data in the presence of clouds,
IEEE T. Geosci. Remote, 41, 390–409, 2003.
Susskind, J., Blaisdell, J. M., Iredell, L., and Keita, F.: Improved
Temperature Sounding and Quality Control Methodology Using AIRS/AMSU Data:
The AIRS Science Team, Version 5, Retrieval Algorithm, IEEE T. Geosci. Remote, 49, 883–907, https://doi.org/10.1109/TGRS.2010.2070508, 2011.
Susskind, J., Blaisdell, J. M., and Iredell, L.: Improved methodology for
surface and atmospheric soundings, error estimates, and quality control
procedures: the atmospheric infrared sounder science team, version-6,
retrieval algorithm, J. Appl. Remote Sens., 8, 084994,
https://doi.org/10.1117/1.JRS.8.084994, 2014.
Tian, B., Yung, Y. L., Waliser, D. E., Tyranowski, T., Kuai, L., Fetzer, E.
J., and Irion, F. W.: Intraseasonal variations of the tropical total ozone
and their connection to the Madden-Julian Oscillation: The MJO in tropical
total ozone, Geophys. Res. Lett., 34, L08704, https://doi.org/10.1029/2007GL029451, 2007.
Velders, G. J., Andersen, S. O., Daniel, J. S., Fahey, D. W., and McFarland,
M.: The importance of the Montreal Protocol in protecting climate, P. Natl. Acad. Sci. USA, 104, 4814–4819, https://doi.org/10.1073/pnas.0610328104, 2007.
Vogt, R., Sander, R., Von Glasow, R., and Crutzen, P. J.: Iodine chemistry
and its role in halogen activation and ozone loss in the marine boundary
layer: A model study, J. Atmos. Chem., 32, 375–395,
https://doi.org/10.1023/A:1006179901037, 1999.
von Glasow, R., Sander, R., Bott, A., and Crutzen, P. J.: Modeling halogen
chemistry in the marine boundary layer, 1. Cloud-free MBL,
J. Geophys. Res., 107, 4341, https://doi.org/10.1029/2001JD000942, 2002.
von Glasow, R., von Kuhlmann, R., Lawrence, M. G., Platt, U., and Crutzen, P. J.: Impact of reactive bromine chemistry in the troposphere, Atmos. Chem. Phys., 4, 2481–2497, https://doi.org/10.5194/acp-4-2481-2004, 2004.
Wang, H., Chai, S., Tang, X., Zhou, B., Bian, J., Vömel, H., Yu, K., and
Wang, W.: Verification of satellite ozone/temperature profile products and
ozone effective height/temperature over Kunming, China,
Sci. Total Environ., 661, 35–47, https://doi.org/10.1016/j.scitotenv.2019.01.145, 2019.
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., and Flower,
D. A.: 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.
Weeks, L., Good, R., Randhawa, J., and Trinks, H.: Ozone measurements in the
stratosphere, mesosphere, and lower thermosphere during Aladdin 74, J. Geophys. Res., 83, 978–982, https://doi.org/10.1029/JA083iA03p00978, 1978.
WMO: Scientific Assessment of Ozone Depletion: 2010, Global Ozone Research
and Monitoring Project-Report, No. 52,
World Meteorological Organization (WMO), Geneva, Switzerland, 516 pp., 2011.
WMO: Scientific Assessment of Ozone Depletion: 2014, World Meteorological
Organization, Global Ozone Research and Monitoring Project-Report, No. 55,
World Meteorological Organization (WMO), Geneva, Switzerland, 416 pp., 2014.
WMO: Scientific Assessment of Ozone Depletion: 2018, Global Ozone Research
and Monitoring Project-Report, No. 58, World Meteorological Organization (WMO), Geneva, Switzerland, 588 pp., 2018.
Yang, X., Cox, R. A., Warwick, N. J., Pyle, J. A., Carver, G. D., O'Connor,
F. M., and Savage, N. H.: Tropospheric bromine chemistry and its impacts on
ozone: A model study, J. Geophys. Res., 110, D23311, https://doi.org/10.1029/2005JD006244, 2005.
Zhou, D. K., Larar, A. M., and Liu, X.: MetOp-A/IASI Observed Continental
Thermal IR Emissivity Variations,
IEEE J. Sel. Top. Appl., 6, 1156–1162, https://doi.org/10.1109/JSTARS.2013.2238892, 2013.
Zhou, L., Goldberg, M., Barnet, C., Cheng, Z., Sun, F., Wolf, W., King, T.,
Liu, X., Sun, H., and Divakarla, M.: Regression of surface spectral
emissivity from hyperspectral instruments,
IEEE T. Geosci. Remote, 46, 328–333, https://doi.org/10.1109/TGRS.2007.912712,
2008.
Ziemke, J. R., Chandra, S., Labow, G. J., Bhartia, P. K., Froidevaux, L., and Witte, J. C.: A global climatology of tropospheric and stratospheric ozone derived from Aura OMI and MLS measurements, Atmos. Chem. Phys., 11, 9237–9251, https://doi.org/10.5194/acp-11-9237-2011, 2011.
Zommerfelds, W., Kunzi, K., Summers, M., Bevilacqua, R., Strobel, D., Allen,
M., and Sawchuck, W.: Diurnal variations of mesospheric ozone obtained by
ground-based microwave radiometry, J. Geophys. Res., 94, 12819–12832,
https://doi.org/10.1029/JD094iD10p12819, 1989.
Short summary
This paper is an evaluation of the AIRS and MLS ozone (O3) algorithms via comparison with daytime and night-time O3 datasets. Results show that further refinements of the AIRS O3 algorithm are required for better surface emissivity retrievals and that cloud cover is another problem that needs to be solved. An inconsistency is found in the
AscDescModeflag of the MLS v4.20 standard O3 product for 90–60° S and 60–90° N, resulting in inconsistent O3 profiles in these regions before May 2015.
This paper is an evaluation of the AIRS and MLS ozone (O3) algorithms via comparison with...
