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Special Issue "Remote Sensing of Carbon Dioxide and Methane in Earth’s Atmosphere II"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: 1 December 2023 | Viewed by 1861

Special Issue Editors

Joint Polar Satellite System (JPSS), National Environmental Satellite, Data and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA), 7700 Hubble Dr, Lanham, MD 20706, USA
Interests: environmental satellite remote sensing; satellite sensors and algorithms; products calibration and validation, and their applications to weather and climate monitoring and forecasting
I.M. Systems Group at Center for Satellite Applications and Research (STAR), National Environmental Satellite, Data and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA), 5830 University Research Court, College Park, MD 20740, USA
Interests: environmental satellite remote sensing; radiative transfer; satellite data validation and calibration; oceanic and atmospheric applications; global climate change; air–sea interactions; marine meteorology
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Special Issue Information

Dear Colleagues,

The satellite remote sensing of global atmospheric carbon greenhouse gases (GHGs) has received increased interest and attention in recent years in an effort to obtain global observations aimed at facilitating our understanding of global climate change and air quality (AQ) forecasts. Climate change detection requires the ability to resolve small global signals over decadal timescales (ΔT ≈ 0.1 K per decade), and AQ assessments require measurements at relatively fine spatial scales (<1 km).  In particular, increasing levels of carbon dioxide (CO2) and methane (CH4), the two most important long-lived GHGs, are primary contributors to anthropogenic climate change. However, the processes involved in the increase of emissions (e.g., regional sources and/or sinks) are not completely understood, in part due to the sparseness of data. Satellite missions dedicated to global GHG observation have thus been designed and implemented, with satellite missions originally designed for numerical weather forecasting applications (e.g., Joint Polar Satellite System, JPSS, payloads) also being adapted to complement existing observing systems. This has led to a growing complement of derived carbon GHG products and state parameters (environmental data records, climate data records, etc.) being retrieved from spectral radiances for the global observation of atmospheric composition at varying spatiotemporal scales.

We are pleased to announce this follow-up Part II Special Issue, which will continue the focus of Part I on the satellite remote sensing of long-lived carbon GHGs, specifically CH4 and CO2, from advanced passive sensors (thermal IR and near-IR) essential for Earth (atmospheric/oceanic) observation onboard operational, experimental and next-generation environmental satellites, including but not limited to dedicated missions such as GOSAT, OCO-2, TROPOMI, Sentinel-2, GHGSAT, MethaneSAT, as well as more traditional operational satellite missions such as JPSS-2, NOAA-20, SNPP, Aqua, Metop-B,-C, GOES-16,-17,-18, MSG/MTG, Himawari-8, and FY satellites, and planned future missions such as GOSAT-GW, CarbonMapper, MERLIN, OCO-3, etc. We invite papers on the remote sensing of these gases, including retrieval algorithms, validation, and applications.

Dr. Lihang Zhou
Dr. Nicholas Nalli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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

  • satellite data calibration
  • validation
  • cal/val
  • measurement
  • applications

Published Papers (2 papers)

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Article
Simulation and Error Analysis of Methane Detection Globally Using Spaceborne IPDA Lidar
Remote Sens. 2023, 15(13), 3239; https://doi.org/10.3390/rs15133239 - 23 Jun 2023
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Abstract
Methane (CH4) is recognized as the second most important greenhouse gas. An accurate and precise monitoring of methane gas globally has a vital role in studying the carbon cycle and global warming. The spaceborne integrated path differential absorption (IPDA) lidar is [...] Read more.
Methane (CH4) is recognized as the second most important greenhouse gas. An accurate and precise monitoring of methane gas globally has a vital role in studying the carbon cycle and global warming. The spaceborne integrated path differential absorption (IPDA) lidar is one of the most effective payload for methane detection. The simulation and optimization of the lidar system parameters can create an important base for the development of spaceborne payloads. However, previous IPDA lidar simulations have mostly used standard atmospheric models at simulation conditions, and to the best of our knowledge, there is no literature yet which applies a wavelength optimization to the IPDA system. In this study, we have investigated the relationship between the IPDA lidar system, based on wavelength optimization, and error measurement for CH4 column-averaged concentration. By selecting the wavelengths with the lowest comprehensive error as on-line and off-line, the error has been minimized by 10 ppb approximately relative to before optimization. We have proposed an IPDA simulation model at real atmospheric conditions, combining with ERA-5 reanalysis data, to simulate methane concentration globally, and present the distribution of errors. Finally, after the optimization of the lidar system parameters, we have ensured that the maximum inversion error for CH4 measurement is less than 10 ppb, to provide a reference for designing spaceborne IPDA lidar systems for high-precision CH4 column-averaged concentration detection. Full article
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Technical Note
Spatiotemporal Variability of Global Atmospheric Methane Observed from Two Decades of Satellite Hyperspectral Infrared Sounders
Remote Sens. 2023, 15(12), 2992; https://doi.org/10.3390/rs15122992 - 08 Jun 2023
Cited by 1 | Viewed by 897
Abstract
Methane (CH4) is the second most significant contributor to climate change after carbon dioxide (CO2), accounting for approximately 20% of the contributions from all well-mixed greenhouse gases. Understanding the spatiotemporal distributions and the relevant long-term trends is crucial to [...] Read more.
Methane (CH4) is the second most significant contributor to climate change after carbon dioxide (CO2), accounting for approximately 20% of the contributions from all well-mixed greenhouse gases. Understanding the spatiotemporal distributions and the relevant long-term trends is crucial to identifying the sources, sinks, and impacts on climate. Hyperspectral thermal infrared (TIR) sounders, including the Atmospheric Infrared Sounder (AIRS), the Cross-track Infrared Sounder (CrIS), and the Infrared Atmospheric Sounding Interferometer (IASI), have been used to measure global CH4 concentrations since 2002. This study analyzed nearly 20 years of data from AIRS and CrIS and confirmed a significant increase in CH4 concentrations in the mid-upper troposphere (around 400 hPa) from 2003 to 2020, with a total increase of approximately 85 ppb, representing a +4.8% increase in 18 years. The rate of increase was derived using global satellite TIR measurements, which are consistent with in situ measurements, indicating a steady increase starting in 2007 and becoming stronger in 2014. The study also compared CH4 concentrations derived from the AIRS and CrIS against ground-based measurements from NOAA Global Monitoring Laboratory (GML) and found phase shifts in the seasonal cycles in the middle to high latitudes of the northern hemisphere, which is attributed to the influence of stratospheric CH4 that varies at different latitudes. These findings provide insights into the global budget of atmospheric composition and the understanding of satellite measurement sensitivity to CH4. Full article
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