GeoCARB design maturity and geostationary heritage

Sawyer, Kevin A.; Clark, Charles S.; Katz, N.; Kumar, J. Kamal; Nast, T. C.; Palmer, Alice

doi:10.1117/12.2024457

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…The study is guided by the work that has been done for OCO-2 and GOSAT, and draws heavily on the papers published by O'Dell et al (2012) and Crisp et al (2012). Further details of geoCARB may be found in the papers by Kumer et al (2013b), Sawyer et al (2013) and Mobilia et al (2013).…”

Section: N Polonsky Et Al: Geocarbmentioning

confidence: 99%

Performance of a geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged concentrations

Polonsky

O’Brien²,

Kumer

et al. 2014

Atmos. Meas. Tech.

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Abstract. GeoCARB is a proposed instrument to measure column averaged concentrations of CO 2 , CH 4 and CO from geostationary orbit using reflected sunlight in near-infrared absorption bands of the gases. The scanning options, spectral channels and noise characteristics of geoCARB and two descope options are described. The accuracy of concentrations from geoCARB data is investigated using end-to-end retrievals; spectra at the top of the atmosphere in the geoCARB bands are simulated with realistic trace gas profiles, meteorology, aerosol, cloud and surface properties, and then the concentrations of CO 2 , CH 4 and CO are estimated from the spectra after addition of noise characteristic of geoCARB. The sensitivity of the algorithm to aerosol, the prior distributions assumed for the gases and the meteorology are investigated. The contiguous spatial sampling and fine temporal resolution of geoCARB open the possibility of monitoring localised sources such as power plants. Simulations of emissions from a power plant with a Gaussian plume are conducted to assess the accuracy with which the emission strength may be recovered from geoCARB spectra. Scenarios for "clean" and "dirty" power plants are examined. It is found that a reliable estimate of the emission rate is possible, especially for power plants that have particulate filters, by averaging emission rates estimated from multiple snapshots of the CO 2 field surrounding the plant. The result holds even in the presence of partial cloud cover.

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Section: N Polonsky Et Al: Geocarbmentioning

confidence: 99%

Performance of a geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged concentrations

Polonsky

O’Brien²,

Kumer

et al. 2014

Atmos. Meas. Tech.

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Section: N Polonsky Et Al: Geocarbmentioning

confidence: 99%

Performance of a geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged concentrations

Polonsky¹,

O’Brien²,

Kumer³

et al. 2013

Preprint

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GeoCARB is a proposed instrument to measure column averaged concentrations of CO₂, CH₄ and CO from geostationary orbit using reflected sunlight in near-infrared absorption bands of the gases. The scanning options, spectral channels and noise characteristics of geoCARB and two descope options are described. The accuracy of concentrations from geoCARB data is investigated using end-to-end retrievals; spectra at the top of the atmosphere in the geoCARB bands are simulated with realistic trace gas profiles, meteorology, aerosol, cloud and surface properties, and then the concentrations of CO₂, CH₄ and CO are estimated from the spectra after addition of noise characteristic of geoCARB. The sensitivity of the algorithm to aerosol, the prior distributions assumed for the gases and the meteorology are investigated. The contiguous spatial sampling and fine temporal resolution that geoCARB could provide opens the possibility of monitoring localised sources such as power plants. Simulations of emissions from a power plant with a gaussian plume are conducted to assess the accuracy with which the emission strength may be recovered from geoCARB spectra. Scenarios for "clean" and "dirty" power plants are examined. It is found that a reliable estimate of the emission rate is possible, especially for power plants that have particulate filters, by averaging multiple snap-shots of the CO₂ field surrounding the plant. The result holds even in the presence of partial cloud cover

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“…The (30013) ← (00001) band of CO 2 near 1.6 μm is used extensively in remote sensing for measurements of atmospheric CO 2 concentrations including missions such as OCO-2 (Eldering et al, 2017), OCO-3 (Eldering et al, 2019), GOSAT (Yokota et al, 2009), GOSAT-2 (Nakajima et al, 2013), TanSat (Liu et al, 2018), AIM-North (Nassar et al, 2019), Microcarb (Pasternak et al, 2017), Geocarb (Sawyer et al, 2013), and the Total Carbon Column Observing Network (TCCON) (Wunch et al, 2011). Despite the critical importance of this band and other near-infrared CO 2 bands, existing spectroscopic databases show considerable scatter in their line intensities at a level near or exceeding 1% (Gordon et al, 2017;Huang et al, 2017;Rothman et al, 2013;Tashkun et al, 2019;Zak et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

High‐Accuracy Near‐Infrared Carbon Dioxide Intensity Measurements to Support Remote Sensing

Long

Reed

Fleisher

et al. 2020

Geophysical Research Letters

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Two cavity ring‐down spectrometers were employed to accurately measure line intensities in a series of near‐infrared carbon dioxide bands including (30012) ← (00001), (30013) ← (00001), and (30014) ← (00001) near 1.6 μm. Relative combined standard uncertainties for these band intensities were less than 0.1% and showed significant, percent‐level deviations with respect to many existing spectroscopic databases (although close agreement was observed with the HITRAN 2016 database in the (30013) ← (00001) and (30014) ← (00001) bands). Further, the resulting line intensities were utilized in Total Carbon Column Observing Network retrievals and led to significantly reduced biases in the (30012) ← (00001) and (30013) ← (00001) bands. These results indicate that refinements of spectroscopic databases are required to meet the accuracy targets of both ground‐ and satellite‐based remote sensing missions.

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GeoCARB design maturity and geostationary heritage

Cited by 8 publications

References 3 publications

Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations

High‐Accuracy Near‐Infrared Carbon Dioxide Intensity Measurements to Support Remote Sensing

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GeoCARB design maturity and geostationary heritage

Cited by 8 publications

References 3 publications

Performance of a geostationary mission, geoCARB, to measure CO&lt;sub&gt;2&lt;/sub&gt;, CH&lt;sub&gt;4&lt;/sub&gt; and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO&lt;sub&gt;2&lt;/sub&gt;, CH&lt;sub&gt;4&lt;/sub&gt; and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO&lt;sub&gt;2&lt;/sub&gt;, CH&lt;sub&gt;4&lt;/sub&gt; and CO column-averaged concentrations

High‐Accuracy Near‐Infrared Carbon Dioxide Intensity Measurements to Support Remote Sensing

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Product

Resources

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Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations

Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations