Monitoring the nations’ climate mitigation progress using multi-species observations from Japanese passenger aircrafts Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.5194/egusphere-egu21-13404
<p>The greenhouse gas (GHG) emissions from cities account for more than 70% of the global emissions. Over the past decades, GHG-dedicated space-based instruments, such as Japan’s Greenhouse gases Observing SATellite (GOSAT) (2009-), GOSAT-2 (2018-), NASA’s Orbiting Carbon Observatory-2 (OCO-2) (2014-), and OCO-3 (2019-), have collected the increased amount of the GHG data on the global scale, especially over urban areas. Such data have provided new opportunities to explore ways to study urban emissions, and they will also play a key role in monitoring the progress of subnational climate mitigation efforts towards the Paris Climate Agreement goal.</p><p>Here we present the first high-resolution multi-species (CO<sub>2</sub> and NO<sub>2</sub>) observations from Japanese passenger aircrafts, which should further enhance our ability to quantify GHG emissions in combination with data collected from existing ground-based stations and satellites. Our multi-species observations should also provide direct technical and scientific implications to the planned future space missions, such as Japan’s Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW) and ESA’s CO<sub>2</sub> Monitoring Mission (CO2M), which also plan to measure CO<sub>2</sub> and NO<sub>2</sub> with a special focus on monitoring GHG emissions.</p><p>We designed and developed a carry-on luggage sized imaging spectrometer to collect high-resolution (a few handed m to a few thousand m) CO<sub>2</sub> and NO<sub>2</sub> concentration data during domestic passenger flights. We conducted our first observation during the flight between Tokyo and Fukuoka in October 2020. The two-hour flight allowed us to collect sounding data ranging from 130°E to 140°E in longitude and 33.5°N to 36°N in latitude. The data were being collected every 0.5 sec in nominal and were created up to 5M soundings during the single flight. The obtained data depicted spatial patterns of CO<sub>2</sub>and NO<sub>2</sub> concentrations over the cities and industrial areas, with some notable differences from ones seen from existing satellite observations. We compared our data to other data, such as emission inventories, and satellite observations of CO<sub>2</sub>, NO<sub>2</sub>, and nighttime lights, in order to further characterize the observed spatial gradient and patterns.</p><p>In our presentation, we will also discuss the unique utility of our new aircraft observation and its potential contribution to GHG emission monitoring and the upcoming Global Stocktakes (GST) with an expanded observation coverage and frequency.</p>
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu21-13404
- OA Status
- gold
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3172160837Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/egusphere-egu21-13404Digital Object Identifier
- Title
-
Monitoring the nations’ climate mitigation progress using multi-species observations from Japanese passenger aircraftsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
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2021-03-04Full publication date if available
- Authors
-
Hiroshi Suto, Akihiko Kuze, Tomohiro Oda, Fumie Kataoka, Ayako Matsumoto, Shigetaka Mori, Kei Shiomi, Seiya Kosaki, Tetsuya Kaku, Jun Yoshida, Yoichi Nakamura, Yasuhiro TsubakiharaList of authors in order
- Landing page
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https://doi.org/10.5194/egusphere-egu21-13404Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/egusphere-egu21-13404Direct OA link when available
- Concepts
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Greenhouse gas, Environmental science, Satellite, Greenhouse, Physics, Biology, Ecology, Agronomy, AstronomyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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