Articles | Volume 15, issue 5
https://doi.org/10.5194/amt-15-1251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-1251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Mar 2022
Research article |
| 10 Mar 2022
| 10 Mar 2022
Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Ming Luo
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Jean-Francois Blavier
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Vivienne H. Payne
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Derek J. Posselt
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Stanley P. Sander
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Zhao-Cheng Zeng
Joint Institute for Regional Earth System Science and Engineering,
University of California, Los Angeles, CA 90095, USA
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
Jessica L. Neu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Denis Tremblay
Global & Science Technology, Inc., Greenbelt, MD 20770, USA
Longtao Wu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Jacola A. Roman
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Yen-Hung Wu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Leonard I. Dorsky
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
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This paper shows comparisons of a new single-footprint methane product from the AIRS satellite to aircraft-based observations. We show that this AIRS methane product provides useful information to study seasonal and global methane trends of this important greenhouse gas.
Yunxia Huang, Vijay Natraj, Zhao-Cheng Zeng, Pushkar Kopparla, and Yuk L. Yung
Atmos. Meas. Tech., 13, 6755–6769, https://doi.org/10.5194/amt-13-6755-2020, https://doi.org/10.5194/amt-13-6755-2020, 2020
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As a greenhouse gas with strong global warming potential, atmospheric methane emissions have attracted a great deal of attention. However, accurate assessment of these emissions is challenging in the presence of atmospheric particulates called aerosols. We quantify the aerosol impact on methane quantification from airborne measurements using two techniques, one that has traditionally been used by the imaging spectroscopy community and the other commonly employed in trace gas remote sensing.
Brigitte Rooney, Yuan Wang, Jonathan H. Jiang, Bin Zhao, Zhao-Cheng Zeng, and John H. Seinfeld
Atmos. Chem. Phys., 20, 14597–14616, https://doi.org/10.5194/acp-20-14597-2020, https://doi.org/10.5194/acp-20-14597-2020, 2020
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Wildfires have become increasingly prevalent. Intense smoke consisting of particulate matter (PM) leads to an increased risk of morbidity and mortality. The record-breaking Camp Fire ravaged Northern California for two weeks in 2018. Here, we employ a comprehensive chemical transport model along with ground-based and satellite observations to characterize the PM concentrations across Northern California and to investigate the pollution sensitivity predictions to key parameters of the model.
Zhen Qu, Daven K. Henze, Owen R. Cooper, and Jessica L. Neu
Atmos. Chem. Phys., 20, 13109–13130, https://doi.org/10.5194/acp-20-13109-2020, https://doi.org/10.5194/acp-20-13109-2020, 2020
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We use satellite observations and chemical transport modeling to quantify sources of NOx, a major air pollutant, over the past decade. We find improved simulations of the magnitude, seasonality, and trends of NO2 and ozone concentrations using these derived emissions. Changes in ozone pollution driven by human and natural sources are identified in different regions. This work shows the benefits of remote-sensing data and inverse modeling for more accurate ozone simulations.
Kazuyuki Miyazaki, Kevin Bowman, Takashi Sekiya, Henk Eskes, Folkert Boersma, Helen Worden, Nathaniel Livesey, Vivienne H. Payne, Kengo Sudo, Yugo Kanaya, Masayuki Takigawa, and Koji Ogochi
Earth Syst. Sci. Data, 12, 2223–2259, https://doi.org/10.5194/essd-12-2223-2020, https://doi.org/10.5194/essd-12-2223-2020, 2020
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This study presents the results from the Tropospheric Chemistry Reanalysis version 2 (TCR-2) for 2005–2018 obtained from the assimilation of multiple satellite measurements of ozone, CO, NO2, HNO3, and SO2 from the OMI, SCIAMACHY, GOME-2, TES, MLS, and MOPITT instruments. The evaluation results demonstrate the capability of the reanalysis products to improve understanding of the processes controlling variations in atmospheric composition, including long-term changes in air quality and emissions.
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Short summary
High-fidelity monitoring and forecast of air quality and the hydrological cycle require understanding the vertical distribution of temperature, humidity, and trace gases at high spatiotemporal resolution. We describe a new instrument concept, called the JPL GEO-IR Sounder, that would provide this information for the first time from a single instrument platform. Simulations demonstrate the benefits of combining measurements from multiple wavelengths for this purpose from geostationary orbit.
High-fidelity monitoring and forecast of air quality and the hydrological cycle require...
