The Ozone Monitoring Instrument: Overview of twelve years in space

Levelt, P. F.; Joiner, Joanna; Tamminen, J.; Veefkind, Pepijn; Bhartia, P. K.; Zweers, Deborah Stein; Duncan, B. N.; Streets, D. G.; Eskes, Henk; A, Ronald van der; McLinden, Chris A.; Fioletov, Vitali; Carn, S. A.; Laat, A. T. J. de; DeLand, Matthew T.; Марченко, С. В.; McPeters, Richard D.; Ziemke, J. R.; Fu, Dejian; Liu, Xiong; Pickering, Kenneth; Apituley, Arnoud; Abad, Gonzalo González; Arola, Antti; Boersma, K. Folkert; Miller, Christoph Chan; Chance, K.; Graaf, M. de; Hakkarainen, Janne; Hassinen, S.; Ialongo, Iolanda; Kleipool, Q.; Krotkov, Nickolay A.; Li, Can; Lamsal, L. N.; Newman, Paul A.; Nowlan, C. R.; Suleiman, R. M.; Tilstra, Lieuwe Gijsbert; Torres, Omar; Wang, Huiqun; Wargan, Krzysztof

doi:10.5194/acp-2017-487

Cited by 6 publications

(7 citation statements)

References 127 publications

(179 reference statements)

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“…The Ozone Monitoring Instrument (OMI) is a compact nadir viewing, wide swath (daily global coverage), ultraviolet-visible (270 to 500 nm) imaging spectrometer with a foot pixel size at nadir is 13 km × 25 km and, in contrast to the GOME-2 instruments, this foot pixel size is not constant but increases for the off-nadir positions. Further description of the OMI instrument may be found in Levelt et al (2006Levelt et al ( , 2017. Tropospheric NO 2 overpass data from OMI, GOME-2A and GOME-2B satellite sensors have been collected from the www.temis.nl project for the operational period of the MAX-DOAS system for the city of Guangzhou.…”

Section: Satellite Tropospheric No 2 Observationsmentioning

confidence: 99%

MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons

et al. 2018

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Abstract. In this study, the tropospheric NO 2 vertical column density (VCD) over an urban site in Guangzhou megacity in China is investigated by means of MAX-DOAS measurements during a campaign from late March 2015 to mid-March 2016. A MAX-DOAS system was deployed at the Guangzhou Institute of Geochemistry of the Chinese Academy of Sciences and operated there for about 1 year, during the spring and summer months. The tropospheric NO 2 VCDs retrieved by the MAX-DOAS are presented and compared with space-borne observations from GOME-2/MetOp-A, GOME-2/MetOp-B and OMI/Aura satellite sensors. The comparisons reveal good agreement between satellite and MAX-DOAS observations over Guangzhou, with correlation coefficients ranging between 0.795 for GOME-2B and 0.996 for OMI. However, the tropospheric NO 2 loadings are underestimated by the satellite sensors on average by 25.1, 10.3 and 5.7 %, respectively, for OMI, GOME-2A and GOME-2B. Our results indicate that GOME-2B retrievals are closer to those of the MAX-DOAS instrument due to the lower tropospheric NO 2 concentrations during the days with valid GOME-2B observations. In addition, the effect of the main coincidence criteria is investigated, namely the cloud fraction (CF), the distance (d) between the satellite pixel center and the ground-based measurement site, as well as the time period within which the MAX-DOAS data are averaged around the satellite overpass time. The effect of CF and time window criteria is more profound on the selection of OMI overpass data, probably due to its smaller pixel size. The available data pairs are reduced to half and about one-third for CF ≤ 0.3 and CF ≤ 0.2, respectively, while, compared to larger CF thresholds, the correlation coefficient is improved to 0.996 from about 0.86, the slope value is very close to unity (∼ 0.98) and the mean satellite underestimation is reduced to about half (from ∼ 7 to ∼ 3.5 × 10 15 molecules cm −2 ). On the other hand, the distance criterion affects mostly GOME-2B data selection, because GOME-2B pixels are quite evenly distributed among the different radii used in the sensitivity test. More specifically, the number of collocations is notably reduced when stricter radius limits are applied, the r value is improved from 0.795 (d ≤ 50 km) to 0.953 (d ≤ 20 km), and the absolute mean bias decreases about 6 times for d ≤ 30 km compared to the reference case (d ≤ 50 km).

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Section: Satellite Tropospheric No 2 Observationsmentioning

confidence: 99%

MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons

et al. 2018

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“…The Ozone Monitoring Instrument (OMI) is a hyperspectral ultraviolet/visible spectrometer carried aboard the NASA satellite Aura (Levelt et al, 2006(Levelt et al, , 2017. OMI is one of several UV sensors used in monitoring global atmospheric SO 2 concentrations, but it is arguably the most sensitive and effective, offering good spatial resolution (13 × 24 km at nadir), a wide spectral range (270-500 nm, with resolution of 0.45 nm) and contiguous daily coverage of the Earth.…”

Section: Satellite-based So 2 Observations From Omimentioning

confidence: 99%

“…To this aim, we combine UV camera measurements (D'Aleo et al, 2016) with complementary satellite-based observations of the explosive SO 2 release during the paroxysm(s), obtained from the Ozone Monitoring Instrument (OMI; Levelt et al, 2006Levelt et al, , 2017Carn et al, 2017). From these, we quantify the pre-, syn-, and post-paroxysmal SO 2 emissions, and estimate the degassing magma volumes required to supply these emissions.…”

Section: Introductionmentioning

confidence: 99%

Understanding the SO2 Degassing Budget of Mt Etna's Paroxysms: First Clues From the December 2015 Sequence

et al. 2019

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The persistent open-vent activity of basaltic volcanoes is periodically interrupted by spectacular but hazardous paroxysmal explosions. The rapid transition from quiescence to explosive eruption poses a significant challenge for volcanic hazard assessment and mitigation, and improving our understanding of the processes that trigger these paroxysmal events is critical. Although magmatic gas is unquestionably the driver, direct measurements of a paroxysm's gas flux budget have remained challenging, to date. A particularly violent paroxysmal sequence took place on Etna on December 2015, intermittently involving all summit craters, especially the Voragine (VOR) that had previously displayed no activity for several years. Here, we characterize the volcano's SO 2 degassing budget prior to, during and after this paroxysmal sequence, using ground-based (UV-Camera) and satellite (OMI) observations, complemented with ground-and space-borne thermal measurements. We make use of the high spatial resolution of UV-cameras to resolve SO 2 emissions from the erupting VOR crater for the first time, and to characterize temporal switches in degassing activity from VOR to the nearby New Southeast Crater (NSEC). Our data show that onset of paroxysmal activity on December 3-5 was marked by visible escalation in VOR SO 2 fluxes (4,700-8,900 tons/day), in satellite-derived thermal emissions (2,000 MW vs. ∼2-11 MW in July-November 2015), and in OMI-derived daily SO 2 masses (5.4 ± 0.7 to 10.0 ± 1.3 kilotonnes, kt; 0.5 kt was the average in the pre-eruptive period). Switch in volcanic activity from VOR to NSEC on December 6 was detected by increasing SO 2 fluxes at the NSEC crater, and by decaying SO 2 emissions at VOR, until activity termination on December 19. Taken together, our observations infer the total degassed SO 2 mass for the entire VOR paroxysmal sequence at 21,000 ± 2,730 t, corresponding to complete degassing of ∼1.9 ± 0.3 Mm 3 of magma, or significantly less than the measured erupted magma volumes (5.1-12 Mm 3). From this mismatch we propose D'Aleo et al. SO 2 Degassing During Etna's Paroxysms that only a small fraction of the erupted magma was actually emplaced in the shallow plumbing system during (or shortly prior) the paroxysmal sequence. Rather, the majority of the erupted magma was likely stored conduit magma, having gone through extensive degassing for days to weeks prior to the paroxysm.

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“…These stratospheric ozone profiles were then subtracted from the TOMS total ozone amounts to produce a quantity known as tropospheric ozone residual (TOR). Similarly, the use of concurrent total ozone quantities from OMI (Ozone Monitoring Instrument) and stratospheric ozone profiles derived from the MLS (Microwave Limb Scanning) instruments aboard the Aura satellite launched in 2004 have provided an impressive dataset, which Ziemke et al (1998; and Levelt et al (2017) define as tropospheric column ozone (TCO). Both the TOR and TCO have provided valuable insight into the global distribution of the amount of ozone in the troposphere, and especially how these distributions relate to the use of fossil fuel in the northern hemisphere and widespread biomass burning in the tropics.…”

Section: A Overviewmentioning

confidence: 99%

Analysis of a Regional Scale Chemical-Transport Model to Investigate the Potential Capability of Satellites for Identifying a Widespread Air Pollution Event

Welsh¹,

Fishman²

2017

Preprint

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Abstract:We use a regional scale photochemical transport model to investigate the surface concentrations and column integrated amounts of ozone (O3) and nitrogen dioxide (NO2) during a pollution event that occurred in the St. Louis metropolitan region in 2012. These trace gases will be two of the primary constituents that will be measured by TEMPO, an instrument on a geostationary platform, which will result in a dataset that has hourly temporal resolution during the daytime and ~4 km spatial resolution. Although air quality managers are most concerned with surface concentrations, satellite measurements provide a quantity that reflects a column amount, which may or may not be directly relatable to what is measured at the surface. The model results provide good agreement with observed surface O3 concentrations, which is the only trace gas dataset that can be used for verification. The model shows that a plume of O3 extends downwind from St. Louis and contains an integrated amount of ozone of ~ 16 DU (1 DU = 2.69 x 10 16 mol. cm -2 ), a quantity that is two to three times lower than what was observed by satellite measurements during two massive pollution episodes in the 1980s. Based on the smaller isolatable emissions coming from St. Louis, this quantity is not unreasonable, but may also reflect the reduction of photochemical ozone production due to the implementation of emission controls that have gone into effect in the past few decades.

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The Ozone Monitoring Instrument: Overview of twelve years in space

Cited by 6 publications

References 127 publications

MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons

MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons

Understanding the SO2 Degassing Budget of Mt Etna's Paroxysms: First Clues From the December 2015 Sequence

Analysis of a Regional Scale Chemical-Transport Model to Investigate the Potential Capability of Satellites for Identifying a Widespread Air Pollution Event

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The Ozone Monitoring Instrument: Overview of twelve years in space

Cited by 6 publications

References 127 publications

MAX-DOAS NO&lt;sub&gt;2&lt;/sub&gt; observations over Guangzhou, China; ground-based and satellite comparisons

MAX-DOAS NO&lt;sub&gt;2&lt;/sub&gt; observations over Guangzhou, China; ground-based and satellite comparisons

Understanding the SO2 Degassing Budget of Mt Etna's Paroxysms: First Clues From the December 2015 Sequence

Analysis of a Regional Scale Chemical-Transport Model to Investigate the Potential Capability of Satellites for Identifying a Widespread Air Pollution Event

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MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons

MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons