Assessing vehicle fuel efficiency using a dense network of CO<sub>2</sub> observations
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Assessing vehicle fuel efficiency using a dense network of CO2 observations ; day:05 ; month:10 ; year:2021 ; pages:1-15 ; extent:15
Atmospheric chemistry and physics / Discussions. Discussions ; (05.10.2021), 1-15 (gesamt 15)
- Creator
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Fitzmaurice, Helen
Turner, Alexander J.
Kim, Jinsol
Chan, Katherine
Delaria, Erin R.
Newman, Catherine
Wooldridge, Paul
Cohen, Ronald Carl
- DOI
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10.5194/acp-2021-808
- URN
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urn:nbn:de:101:1-2021100705155225217031
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
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Associated
- Fitzmaurice, Helen
- Turner, Alexander J.
- Kim, Jinsol
- Chan, Katherine
- Delaria, Erin R.
- Newman, Catherine
- Wooldridge, Paul
- Cohen, Ronald Carl
Other Objects (12)
Assessing vehicle fuel efficiency using a dense network of CO<sub>2</sub> observations
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The ZiCOS-M CO<sub>2</sub> sensor network: measurement performance and CO<sub>2</sub> variability across Zürich
Quantification of CO<sub>2</sub> hotspot emissions from OCO-3 SAM CO<sub>2</sub> satellite images using deep learning methods
Quantification of fossil fuel CO<sub>2</sub> from combined CO, δ<sup>13</sup>CO<sub>2</sub> and Δ<sup>14</sup>CO<sub>2</sub> observations
Assessing vehicle fuel efficiency using a dense network of CO<sub>2</sub> observations
Modeling fuel-, vehicle type-, and age-specific CO<sub>2</sub> emissions from global on-road vehicles, 1970–2020
From dense monomer salt crystals to CO<sub>2</sub> selective microporous polyimides via solid-state polymerization
Measurement report: Method for evaluating CO<sub>2</sub> emission from a cement plant by atmosphere O<sub>2 </sub>/N<sub>2</sub> and CO<sub>2</sub> measurements and its applicability to the detection of CO<sub>2</sub> capture signals
Counting CO<sub>2</sub> emissions in a globalised world: producer versus consumer-oriented methods for CO<sub>2</sub> accounting
Anthropogenic CO<sub>2</sub> emission estimates in the Tokyo metropolitan area from ground-based CO<sub>2</sub> column observations
Surface CO<sub>2</sub> Gradients Challenge Conventional CO<sub>2</sub> Emission Quantification in Lentic Water Bodies under Calm Conditions
The CO<sub>2</sub> and non-CO<sub>2</sub> climate effects of individual flights: simplified estimation of CO<sub>2</sub> equivalent emission factors
National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the global stocktake
The ZiCOS-M CO<sub>2</sub> sensor network: measurement performance and CO<sub>2</sub> variability across Zürich
Quantification of CO<sub>2</sub> hotspot emissions from OCO-3 SAM CO<sub>2</sub> satellite images using deep learning methods
Quantification of fossil fuel CO<sub>2</sub> from combined CO, δ<sup>13</sup>CO<sub>2</sub> and Δ<sup>14</sup>CO<sub>2</sub> observations
Assessing vehicle fuel efficiency using a dense network of CO<sub>2</sub> observations
Modeling fuel-, vehicle type-, and age-specific CO<sub>2</sub> emissions from global on-road vehicles, 1970–2020
From dense monomer salt crystals to CO<sub>2</sub> selective microporous polyimides via solid-state polymerization
Measurement report: Method for evaluating CO<sub>2</sub> emission from a cement plant by atmosphere O<sub>2 </sub>/N<sub>2</sub> and CO<sub>2</sub> measurements and its applicability to the detection of CO<sub>2</sub> capture signals
Counting CO<sub>2</sub> emissions in a globalised world: producer versus consumer-oriented methods for CO<sub>2</sub> accounting
Anthropogenic CO<sub>2</sub> emission estimates in the Tokyo metropolitan area from ground-based CO<sub>2</sub> column observations
Surface CO<sub>2</sub> Gradients Challenge Conventional CO<sub>2</sub> Emission Quantification in Lentic Water Bodies under Calm Conditions
The CO<sub>2</sub> and non-CO<sub>2</sub> climate effects of individual flights: simplified estimation of CO<sub>2</sub> equivalent emission factors
National CO<sub>2</sub> budgets (2015–2020) inferred from atmospheric CO<sub>2</sub> observations in support of the global stocktake
The ZiCOS-M CO<sub>2</sub> sensor network: measurement performance and CO<sub>2</sub> variability across Zürich
Quantification of CO<sub>2</sub> hotspot emissions from OCO-3 SAM CO<sub>2</sub> satellite images using deep learning methods