TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres

Butz, A.; Galli, André; Hasekamp, Otto; Landgraf, Jochen; Tol, Paul; Aben, I.

doi:10.1016/j.rse.2011.05.030

Cited by 138 publications

(128 citation statements)

References 33 publications

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“…For S y we assumed a signal-to-noise ratio of 1000 (Wunch et al, 2011a). The set-up of the atmospheric input was not changed with respect to Butz et al (2012): the atmosphere was divided into a grid of 72 planar atmospheric layers (equidistant steps in terms of pressure). By default, temperature, pressure, and height were kept constant.…”

Section: Inverse Methodsmentioning

confidence: 99%

“…Scattering by particles such as aerosols, water and cirrus clouds can modify the light path and induce retrieval errors. The two studies published recently by Butz et al (2012) and Vidot et al (2012) focused on this error source and -using synthetic input spectra -concluded that the scientific goals of TROPOMI can be achieved with the predicted instrumentation. Butz et al (2012) cautioned, however, that a few other, unrelated, error sources had not yet been assessed.…”

Section: A Galli Et Al: Ch 4 Co and H 2 O Spectroscopy For Tropomimentioning

confidence: 99%

“…The two studies published recently by Butz et al (2012) and Vidot et al (2012) focused on this error source and -using synthetic input spectra -concluded that the scientific goals of TROPOMI can be achieved with the predicted instrumentation. Butz et al (2012) cautioned, however, that a few other, unrelated, error sources had not yet been assessed. One of them, which is hard to assess by means of synthetic input spectra alone, is the inaccuracy of the assumed molecular absorption lines of CH 4 , CO, and H 2 O.…”

Section: A Galli Et Al: Ch 4 Co and H 2 O Spectroscopy For Tropomimentioning

confidence: 99%

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CH4, CO, and H2O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

et al. 2012

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Abstract. The TROPOspheric Monitoring Instrument (TROPOMI) will be part of ESA's Sentinel-5 Precursor (S5P) satellite platform scheduled for launch in 2015. TROPOMI will monitor methane and carbon monoxide concentrations in the Earth's atmosphere by measuring spectra of back-scattered sunlight in the short-wave infrared (SWIR).S5P will be the first satellite mission to rely uniquely on the spectral window at 4190-4340 cm −1 (2.3 µm) to retrieve CH 4 and CO. In this study, we investigated if the absorption features of the three relevant molecules CH 4 , CO, and H 2 O are adequately known. To this end, we retrieved total columns of CH 4 , CO, and H 2 O from absorption spectra measured by two ground-based Fourier transform spectrometers that are part of the Total Carbon Column Observing Network (TCCON). The retrieval results from the 4190-4340 cm −1 range at the TROPOMI resolution (0.45 cm −1 ) were then compared to the CH 4 results obtained from the 6000 cm −1 region, and the CO results obtained from the 4190-4340 cm −1 region at the higher TCCON resolution (0.02 cm −1 ).For TROPOMI-like settings, we were able to reproduce the CH 4 columns to an accuracy of 0.3 % apart from a constant bias of 1 %. The CO retrieval accuracy was, through interference, systematically influenced by the shortcomings of the CH 4 and H 2 O spectroscopy. In contrast to CH 4 , the CO column error also varied significantly with atmospheric H 2 O content. Unaddressed, this would introduce seasonal and latitudinal biases to the CO columns retrieved from TROPOMI measurements. We therefore recommend further effort from the spectroscopic community to be directed at the H 2 O and CH 4 spectroscopy in the 4190-4340 cm −1 region.

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Section: Inverse Methodsmentioning

confidence: 99%

Section: A Galli Et Al: Ch 4 Co and H 2 O Spectroscopy For Tropomimentioning

confidence: 99%

Section: A Galli Et Al: Ch 4 Co and H 2 O Spectroscopy For Tropomimentioning

confidence: 99%

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CH4, CO, and H2O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

et al. 2012

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“…Infrared spectrometers can measure CH 4 DMFs (X CH 4 ) from groundbased sites, such as those in the Total Carbon Column Observing Network (TCCON) and Network for the Detection of Atmospheric Composition Change (NDACC), and satellites, including SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) (Bergamaschi et al, 2007), Greenhouse gases Observing SATellite (GOSAT) (Parker et al, 2011), and the upcoming TROPOspheric Monitoring Instrument (TROPOMI) (Butz et al, 2012). These observations complement surface measurements because they add information about the vertically averaged profile and are sensitive in the free troposphere (Yang et al, 2007).…”

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confidence: 99%

Seasonal variability of stratospheric methane: implications for constraining tropospheric methane budgets using total column observations

et al. 2016

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Abstract. Global and regional methane budgets are markedly uncertain. Conventionally, estimates of methane sources are derived by bridging emissions inventories with atmospheric observations employing chemical transport models. The accuracy of this approach requires correctly simulating advection and chemical loss such that modeled methane concentrations scale with surface fluxes. When total column measurements are assimilated into this framework, modeled stratospheric methane introduces additional potential for error. To evaluate the impact of such errors, we compare Total Carbon Column Observing Network (TCCON) and GEOS-Chem total and tropospheric column-averaged dry-air mole fractions of methane. We find that the model's stratospheric contribution to the total column is insensitive to perturbations to the seasonality or distribution of tropospheric emissions or loss. In the Northern Hemisphere, we identify disagreement between the measured and modeled stratospheric contribution, which increases as the tropopause altitude decreases, and a temporal phase lag in the model's tropospheric seasonality driven by transport errors. Within the context of GEOS-Chem, we find that the errors in tropospheric advection partially compensate for the stratospheric methane errors, masking inconsistencies between the modeled and measured tropospheric methane. These seasonally varying errors alias into source attributions resulting from model inversions. In particular, we suggest that the tropospheric phase lag error leads to large misdiagnoses of wetland emissions in the high latitudes of the Northern Hemisphere.

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“…Atmospheric inverse estimates of CH 4 emissions are expected to improve with tropospheric CH 4 measurements from the upcoming ESA TROPOMI mission (Butz et al, 2012;Veefkind et al, 2012). Furthermore, geostationary missions (such as GEOCAPE) will potentially provide the measurements needed to substantially improve CH 4 emission es- (Melton et al, 2013).…”

Section: Top-down Ch 4 Flux Estimatesmentioning

confidence: 99%

What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH4 emissions as a case study

et al. 2016

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Abstract. Understanding the processes controlling terrestrial carbon fluxes is one of the grand challenges of climate science. Carbon cycle process controls are readily studied at local scales, but integrating local knowledge across extremely heterogeneous biota, landforms and climate space has proven to be extraordinarily challenging. Consequently, top-down or integral flux constraints at process-relevant scales are essential to reducing process uncertainty. Future satellite-based estimates of greenhouse gas fluxes -such as CO 2 and CH 4 -could potentially provide the constraints needed to resolve biogeochemical process controls at the required scales. Our analysis is focused on Amazon wetland CH 4 emissions, which amount to a scientifically crucial and methodologically challenging case study. We quantitatively derive the observing system (OS) requirements for testing wetland CH 4 emission hypotheses at a process-relevant scale. To distinguish between hypothesized hydrological and carbon controls on Amazon wetland CH 4 production, a satellite mission will need to resolve monthly CH 4 fluxes at a ∼ 333 km resolution and with a ≤ 10 mg CH 4 m −2 day −1 flux precision. We simulate a range of low-earth orbit (LEO) and geostationary orbit (GEO) CH 4 OS configurations to evaluate the ability of these approaches to meet the CH 4 flux requirements. Conventional LEO and GEO missions resolve monthly ∼ 333 km Amazon wetland fluxes at a 17.0 and 2.7 mg CH 4 m −2 day −1 median uncertainty level. Improving LEO CH 4 measurement precision by √ 2 would only reduce the median CH 4 flux uncertainty to 11.9 mg CH 4 m −2 day −1 . A GEO mission with targeted observing capability could resolve fluxes at a 2.0-2.4 mg CH 4 m −2 day −1 median precision by increasing the observation density in high cloud-cover regions at the expense of other parts of the domain. We find that residual CH 4 concentration biases can potentially reduce the ∼ 5-fold flux CH 4 precision advantage of a GEO mission to a ∼ 2-fold advantage (relative to a LEO mission). For residual CH 4 bias correlation lengths of 100 km, the GEO can nonetheless meet the ≤ 10 mg CH 4 m −2 day −1 requirements for systematic biases ≤ 10 ppb. Our study demonstrates that processdriven greenhouse gas OS simulations can enhance conventional uncertainty reduction assessments by quantifying the OS characteristics required for testing biogeochemical process hypotheses.

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TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres

Cited by 138 publications

References 33 publications

CH<sub>4</sub>, CO, and H<sub>2</sub>O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

CH<sub>4</sub>, CO, and H<sub>2</sub>O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

Seasonal variability of stratospheric methane: implications for constraining tropospheric methane budgets using total column observations

What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study

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TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres

Cited by 138 publications

References 33 publications

CH&lt;sub&gt;4&lt;/sub&gt;, CO, and H&lt;sub&gt;2&lt;/sub&gt;O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

CH&lt;sub&gt;4&lt;/sub&gt;, CO, and H&lt;sub&gt;2&lt;/sub&gt;O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

Seasonal variability of stratospheric methane: implications for constraining tropospheric methane budgets using total column observations

What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH&lt;sub&gt;4&lt;/sub&gt; emissions as a case study

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CH<sub>4</sub>, CO, and H<sub>2</sub>O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

CH<sub>4</sub>, CO, and H<sub>2</sub>O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements

What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study