Applications of Satellite Observations of Tropospheric Composition

Monks, P. S.; Beirle, Steffen

doi:10.1007/978-3-642-14791-3_8

Cited by 11 publications

(4 citation statements)

References 478 publications

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“…These measurements have revolutionized our knowledge of abundance, sources and transport of various pollutants over the last decades in general (e.g., Martin, 2008;Monks and Beirle, 2011, and references therein), and provide new potential for monitoring volcanic activity in particular. Several studies have estimated burdens and fluxes of SO 2 from different volcanoes, e.g.…”

Section: S Beirle Et Al: Emissions and Lifetime Of So 2 From Kılaueamentioning

confidence: 99%

“…Several studies have estimated burdens and fluxes of SO 2 from different volcanoes, e.g. Carn et al (2003Carn et al ( , 2005Carn et al ( , 2008; Khokhar et al (2005); Krotkov et al (2010); Monks and Beirle (2011) (see Table 8.2 and references therein). Reviews of the different methods applied for estimating SO 2 fluxes from satellite observations are provided by Carn et al (2013) and Theys et al (2013) (see Sect.…”

Section: S Beirle Et Al: Emissions and Lifetime Of So 2 From Kılaueamentioning

confidence: 99%

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Estimating the volcanic emission rate and atmospheric lifetime of SO2 from space: a case study for Kīlauea volcano, Hawai`i

et al. 2014

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Abstract.We present an analysis of SO 2 column densities derived from GOME-2 satellite measurements for the Kılauea volcano (Hawai'i) for [2007][2008][2009][2010][2011][2012]. During a period of enhanced degassing activity in March-November 2008, monthly mean SO 2 emission rates and effective SO 2 lifetimes are determined simultaneously from the observed downwind plume evolution and meteorological wind fields, without further model input. Kılauea is particularly suited for quantitative investigations from satellite observations owing to the absence of interfering sources, the clearly defined downwind plumes caused by steady trade winds, and generally low cloud fractions. For March-November 2008, the effective SO 2 lifetime is 1-2 days, and Kılauea SO 2 emission rates are 9-21 kt day −1 , which is about 3 times higher than initially reported from ground-based monitoring systems.

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Section: S Beirle Et Al: Emissions and Lifetime Of So 2 From Kılaueamentioning

confidence: 99%

Section: S Beirle Et Al: Emissions and Lifetime Of So 2 From Kılaueamentioning

confidence: 99%

Estimating the volcanic emission rate and atmospheric lifetime of SO2 from space: a case study for Kīlauea volcano, Hawai`i

et al. 2014

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“…Tropospheric NO 2 columns derived from satellite are nowadays widely used by the scientific community to deduce spatial patterns, source type S. Beirle et al: Stratospheric estimation of NO 2 and strength, and trends of NO x emissions from fossil fuel combustion, biomass burning, soil emissions, and lightning. Overviews over the wide range of scientific applications of satellite-based tropospheric NO 2 products are given in, e.g., Martin (2008) or Monks and Beirle (2011). The retrieval of tropospheric NO 2 columns from total column measurements requires the estimation and removal of the stratospheric column, a procedure we refer to as "stratosphere-troposphere separation" (STS) as in Bucsela et al (2006).…”

Section: Introductionmentioning

confidence: 99%

The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution

et al. 2016

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Abstract. The STRatospheric Estimation Algorithm from Mainz (STREAM) determines stratospheric columns of NO2 which are needed for the retrieval of tropospheric columns from satellite observations. It is based on the total column measurements over clean, remote regions as well as over clouded scenes where the tropospheric column is effectively shielded. The contribution of individual satellite measurements to the stratospheric estimate is controlled by various weighting factors. STREAM is a flexible and robust algorithm and does not require input from chemical transport models. It was developed as a verification algorithm for the upcoming satellite instrument TROPOMI, as a complement to the operational stratospheric correction based on data assimilation. STREAM was successfully applied to the UV/vis satellite instruments GOME 1/2, SCIAMACHY, and OMI. It overcomes some of the artifacts of previous algorithms, as it is capable of reproducing gradients of stratospheric NO2, e.g., related to the polar vortex, and reduces interpolation errors over continents. Based on synthetic input data, the uncertainty of STREAM was quantified as about 0.1–0.2 × 1015 molecules cm−2, in accordance with the typical deviations between stratospheric estimates from different algorithms compared in this study.

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“…The NO 2 vertical column densities (VCDs) derived from these measurements have been used for a range of applications (Monks and Beirle, 2011), such as determining pollution trends over megacities (e.g. Konovalov et al, 2010;Hilboll et al, 2013), shipping emissions (e.g.…”

Section: Introductionmentioning

confidence: 99%

An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference

2015

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Abstract.A novel tropospheric NO 2 DOAS retrieval algorithm optimised for a nadir-viewing satellite instrument imaging polluted areas is proposed in this work. Current satellite DOAS retrievals have relied on using a solar reference spectrum to derive a total slant column, then using either model assimilation or spatial filtering to derive the tropospheric component. In the ERrs-DOAS (Earth radiance reference sector DOAS) algorithm, tropospheric NO 2 slant columns are derived using spectra averaged from measurements over unpolluted regions, thus removing the need for post-hoc separation techniques, though some residual stratospheric biases may still remain. To validate the ERrs-DOAS algorithm, DOAS retrievals were performed on modelled spectra created by the radiative transfer model SCIA-TRAN, as well as L1B Earth radiance data measured by the NASA/KNMI Ozone Monitoring Instrument (OMI). It was found that retrievals using an Earth radiance reference produce spatial distributions of tropospheric NO 2 over eastern China during June 2005 that highly correlate with those derived using existing retrieval algorithms. Comparisons with slant columns retrieved by the operational NO 2 retrieval algorithm for OMI (OMNO2A) show that the ERrs-DOAS algorithm greatly reduces the presence of artificial across-track biases (stripes) caused by calibration errors, as well as the removal of path length enhancement in off-nadir pixels. Analysis of Pacific SCDs suggests that the algorithm also produces a 27 % reduction in retrieval uncertainty, though this may be partially due to biases introduced by differences in the retrieval algorithm settings. The ERrs-DOAS technique also reveals absorption features over the Sahara and similar regions characteristic of sand and liquid H 2 O absorption, as first discovered in the analysis of GOME-2 NO 2 retrievals.

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Applications of Satellite Observations of Tropospheric Composition

Cited by 11 publications

References 478 publications

Estimating the volcanic emission rate and atmospheric lifetime of SO<sub>2</sub> from space: a case study for Kīlauea volcano, Hawai`i

Estimating the volcanic emission rate and atmospheric lifetime of SO<sub>2</sub> from space: a case study for Kīlauea volcano, Hawai`i

The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO<sub>2</sub> from nadir-viewing satellites by weighted convolution

An improved retrieval of tropospheric NO<sub>2</sub> from space over polluted regions using an Earth radiance reference

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Applications of Satellite Observations of Tropospheric Composition

Cited by 11 publications

References 478 publications

Estimating the volcanic emission rate and atmospheric lifetime of SO&lt;sub&gt;2&lt;/sub&gt; from space: a case study for Kīlauea volcano, Hawai`i

Estimating the volcanic emission rate and atmospheric lifetime of SO&lt;sub&gt;2&lt;/sub&gt; from space: a case study for Kīlauea volcano, Hawai`i

The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO&lt;sub&gt;2&lt;/sub&gt; from nadir-viewing satellites by weighted convolution

An improved retrieval of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; from space over polluted regions using an Earth radiance reference

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Estimating the volcanic emission rate and atmospheric lifetime of SO<sub>2</sub> from space: a case study for Kīlauea volcano, Hawai`i

Estimating the volcanic emission rate and atmospheric lifetime of SO<sub>2</sub> from space: a case study for Kīlauea volcano, Hawai`i

The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO<sub>2</sub> from nadir-viewing satellites by weighted convolution

An improved retrieval of tropospheric NO<sub>2</sub> from space over polluted regions using an Earth radiance reference