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Remote Sensing for Greenhouse Gases from Natural Sources

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 3491

Special Issue Editors


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Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, INGV, Pisa, Italy
Interests: gas and energy release from volcanic and non-volcanic systems; natural degassing in seismic areas; gas hazard; dispersion of pollutants in atmosphere

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Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia, INGV, Pisa, Italy
Interests: volcanic gas–particle plumes; numerical simulations; radiative transfer models; remote sensing; data inversion techniques; interaction between volcanoes and climate

Special Issue Information

Nowadays, the growth of greenhouse gases in the Earth’s atmosphere is one of the most impactful scientific research topics. Although most greenhouse gas emissions result from industrial and anthropogenic sources, a significant contribution also comes from natural sources. This is especially true for carbon dioxide (CO2) and methane (CH4), two of the main Earth greenhouse gases that are massively released in the terrestrial atmosphere by active and quiescent volcanoes, hydrothermal areas, and active tectonic structures.

The quantification of the emissions from these natural sources contributes to constrain the terrestrial C cycle, improving our knowledge about climate stability. Notwithstanding recent studies over the last 15–20 years that have highlighted the weight of natural sources, the current emission estimates are poorly constrained due to a lack of direct measurements and to the difficulty in modeling gas transport, dispersion, and radiative weight from the source to the atmosphere. In fact, measuring these gases in the subaerial environment is challenging due to their mixing with the atmosphere and then their rapid dilution. Proximal remote sensing techniques, performed by airborne and unmanned aerial vehicles (UAVs), would be the ideal approach to measure gas emissions close to the source (at the scale of the volcanic edifice or small-sized hydrothermal areas). On the other hand, data assimilation and remote sensing procedures from satellite platforms would be extremely useful to quantify the global natural budgets in larger zones or from stronger sources, where the amount of natural gas is sufficiently high above the background atmospheric content (e.g., crustal tectonic structures or major fault systems).

The aim of this Special Issue titled “Remote Sensing for Greenhouse Gases from Natural Sources” is to collect innovative studies to update the global estimates of greenhouse gas emissions, in particular of CO2 and CH4 as major contributors.

Dr. Domenico Granieri
Dr. Matteo Cerminara
Guest Editors

Manuscript Submission Information

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Keywords

  • Natural degassing
  • C cycle
  • Climate change
  • Proximal remote sensing
  • Unmanned aerial vehicles
  • Radiative transfer models
  • Radiative forcing
  • Gas transport and diffusion models
  • Data assimilation

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Published Papers (1 paper)

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Research

14 pages, 1079 KiB  
Article
Interannual Variability of Atmospheric CH4 and Its Driver Over South Korea Captured by Integrated Data in 2019
by Samuel Takele Kenea, Haeyoung Lee, Sangwon Joo, Shanlan Li, Lev D. Labzovskii, Chu-Yong Chung and Yeon-Hee Kim
Remote Sens. 2021, 13(12), 2266; https://doi.org/10.3390/rs13122266 - 9 Jun 2021
Cited by 9 | Viewed by 2727
Abstract
Understanding the temporal variability of atmospheric methane (CH4) and its potential drivers can advance the progress toward mitigating changes to the climate. To comprehend interannual variability and spatial characteristics of anomalous CH4 mole fractions and its drivers, we used integrated [...] Read more.
Understanding the temporal variability of atmospheric methane (CH4) and its potential drivers can advance the progress toward mitigating changes to the climate. To comprehend interannual variability and spatial characteristics of anomalous CH4 mole fractions and its drivers, we used integrated data from different platforms such as in situ measurements and satellites (TROPOspheric Monitoring Instrument (TROPOMI) and Greenhouse Gases Observing SATellite (GOSAT)) retrievals. A pronounced change of annual growth rate was detected at Anmyeondo (AMY), Republic of Korea, ranging from −16.8 to 31.3 ppb yr−1 as captured in situ through 2015–2020 and 3.9 to 16.4 ppb yr−1 detected by GOSAT through 2014–2019, respectively. High growth rates were discerned in 2016 (31.3 ppb yr−1 and 13.4 ppb yr−1 from in situ and GOSAT, respectively) and 2019 (27.4 ppb yr−1 and 16.4 ppb yr−1 from in situ and GOSAT, respectively). The high growth in 2016 was essentially explained by the strong El Niño event in 2015–2016, whereas the large growth rate in 2019 was not related to ENSO. We suggest that the growth rate that appeared in 2019 was related to soil temperature according to the Noah Land Surface Model. The stable isotopic composition of 13C/12C in CH4 (δ13-CH4) collected by flask-air sampling at AMY during 2014–2019 supported the soil methane hypothesis. The intercept of the Keeling plot for summer and autumn were found to be −53.3‰ and −52.9‰, respectively, which suggested isotopic signature of biogenic emissions. The isotopic values in 2019 exhibited the strongest depletion compared to other periods, which suggests even a stronger biogenic signal. Such changes in the biogenic signal were affected by the variations of soil temperature and soil moisture. We looked more closely at the variability of XCH4 and the relationship with soil properties. The result indicated a spatial distribution of interannual variability, as well as the captured elevated anomaly over the southwest of the domain in autumn 2019, up to 70 ppb, which was largely explained by the combined effect of soil temperature and soil moisture changes, indicating a pixel-wise correlation of XCH4 anomaly with those parameters in the range of 0.5–0.8 with a statistical significance (p < 0.05). This implies that the soil-associated drivers are able to exert a large-scale influence on the regional distribution of CH4 in Korea. Full article
(This article belongs to the Special Issue Remote Sensing for Greenhouse Gases from Natural Sources)
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