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Atmosphere
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Remote Sensing Observation of Greenhouse Gases Emission
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Remote Sensing Observation of Greenhouse Gases Emission

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 5086

Special Issue Editor

Dr. Yusheng Shi

E-Mail Website
Guest Editor
State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Interests: greenhouse gas observation; CO2 emission inventory; CH4 emissions; satellite retrieval of CO2 emissions

Special Issue Information

Dear Colleagues,

Greenhouse gases have contributed greatly to global warming over the past few decades. Anthropogenic activity, terrestrial ecosystems, forest fire, biomass burning, and large-scale point source emissions are all the main sources to total emissions. A precise and reliable estimation of emission sources from different sections for a better understanding of greenhouse gas effects is urgently required. The observation, retrieval, and modeling of carbon/methane fluxes and exchange among different pools help to understand the carbon cycle and budget at point, regional, and global scales.

This Special Issue focuses on the methodology and application of remotely sensed datasets to estimate carbon emissions from human activity, large-scale power plants, the urban industry, biomass burning, forest fires, etc. Satellite observation, aircraft-based monitoring, ground measurement of emissions, and concentrations of carbon dioxide and methane are greatly encouraged. Additionally, the transport of greenhouse gases using GEOS-chem or satellite-retrieved sources emissions are also within our scope. The aim of this issue is to provide a consistent source of information concerning past and present activities regarding different aspects of atmospheric greenhouse gas studies, as well as allow a better exchange of knowledge about GHG research and strengthen cooperation between research groups working in different aspects of climate change.

Original results, review papers, and model studies related to the following aspects are all welcome contributions:

  • Anthropogenic carbon emissions;
  • Large power plant carbon emissions;
  • Urban carbon emissions;
  • Forest fire emissions;
  • Biomass burning emissions;
  • Methane emission inventory;
  • Greenhouse observing satellite carbon emission retrieval;
  • Atmospheric transport simulation;
  • Terrestrial ecosystems in greenhouse gas budgets;
  • Modeling of emission, mixing ratios, and transport of greenhouse gases.

Dr. Yusheng Shi
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CO2 and CH4 emission observation
  • anthropogenic emissions
  • emission inventory
  • greenhouse gas retrieval
  • biomass burning emissions

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Published Papers (2 papers)

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Research

14 pages, 3348 KiB  
Article
High Spatial and Temporal Resolution Methane Emissions Inventory from Terrestrial Ecosystems in China, 2010–2020
by Yongliang Yang and Yusheng Shi
Atmosphere 2022, 13(12), 1966; https://doi.org/10.3390/atmos13121966 - 25 Nov 2022
Cited by 3 | Viewed by 2206
Abstract
Methane (CH4) is not only an important greenhouse gas next to carbon dioxide (CO2), but also an important chemically active gas. Under the background of climate warming, the measurement of CH4 emissions from terrestrial ecosystems in China is [...] Read more.
Methane (CH4) is not only an important greenhouse gas next to carbon dioxide (CO2), but also an important chemically active gas. Under the background of climate warming, the measurement of CH4 emissions from terrestrial ecosystems in China is not only very important for exploring the impact of climate change on the ecological environment, but also of great significance for the in-depth study of ecosystem carbon cycling. In this study, we used the Emission-Factor Approach to estimate CH4 emissions from terrestrial ecosystems in China from 2010–2020 and explored the spatial distribution characteristics of CH4 emissions. The estimated CH4 emission inventory of terrestrial ecosystems with 0.05 spatial resolution on monthly time scale is in good agreement with the results of the latest emission inventory. It is estimated that CH4 emissions from terrestrial ecosystems in China are 19.955 Tg yr−1, including 18.61% (3.713 Tg yr−1) from vegetation, 21.47% (4.285 Tg yr−1) from wetlands and 59.92% (11.957 Tg yr−1) from paddy fields, with the largest contribution from paddy fields. The regions with high CH4 emissions from terrestrial ecosystems in China are mainly located in the central, eastern and southeastern regions of China, and show a decreasing trend from southeast to northwest. The CH4 emission from terrestrial ecosystems in China has obvious seasonal variation characteristics, with the lowest emission in January (0.248 Tg month−1) and the highest emission in August (3.602 Tg month−1). The emissions are high in summer and autumn and low in spring and winter. CH4 emissions from terrestrial ecosystems in China showed an overall upward trend from 2010–2020. Full article
(This article belongs to the Special Issue Remote Sensing Observation of Greenhouse Gases Emission)
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12 pages, 2428 KiB  
Communication
Two Decades of Satellite Observations of Carbon Monoxide Confirm the Increase in Northern Hemispheric Wildfires
by Leonid Yurganov and Vadim Rakitin
Atmosphere 2022, 13(9), 1479; https://doi.org/10.3390/atmos13091479 - 12 Sep 2022
Cited by 8 | Viewed by 2311
Abstract
Biomass burning is an important and changing component of global and hemispheric carbon cycles. Boreal forest fires in Russia and Canada are significant sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). The influence of carbon monoxide [...] Read more.
Biomass burning is an important and changing component of global and hemispheric carbon cycles. Boreal forest fires in Russia and Canada are significant sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). The influence of carbon monoxide (CO) on the greenhouse effect is practically absent; its main absorption bands of 4.6 and 2.3 μm are far away from the climatically important spectral regions. Meanwhile, CO concentrations in fire plumes are closely related to CO2 and CH4 emissions from fires. On the other hand, satellite measurements of CO are much simpler than those of the aforementioned gases. The Atmospheric Infrared Sounder (AIRS) operating in the Thermal IR spectral region has provided a satellite-based CO data set since October 2002. This satellite data allow to estimate CO emissions from biomass burning north of 30° N using a simple two-box mass-balance model. These results correlate closely with independently estimated CO emissions from the GFED4c bottom-up database. In 2021, both estimate record high emissions throughout the preceding two decades, double the annual emissions compared to previous periods. There have been two years with extremely high emissions (2003 and 2021) but for the rest of the data, an upward trend with a rate of 3.6 ± 2.2 Tg CO yr−2 (4.8 ± 2.7% yr−1) was found. A similar rate of CO emissions can be seen in the GFED4c data. Full article
(This article belongs to the Special Issue Remote Sensing Observation of Greenhouse Gases Emission)
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