Articles | Volume 20, issue 20
https://doi.org/10.5194/acp-20-12329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-12329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validation of satellite formaldehyde (HCHO) retrievals using observations from 12 aircraft campaigns
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen, China
Gonzalo González Abad
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Caroline R. Nowlan
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Christopher Chan Miller
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Kelly Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Eric C. Apel
Atmospheric Chemistry Observations & Modeling Laboratory, National
Center for Atmospheric Research, Boulder, CO, USA
Joshua P. DiGangi
NASA Langley Research Center, Hampton, VA, USA
Alan Fried
Institute of Arctic & Alpine Research, University of Colorado,
Boulder, CO, USA
Thomas F. Hanisco
Atmospheric Chemistry and Dynamic Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Rebecca S. Hornbrook
Atmospheric Chemistry Observations & Modeling Laboratory, National
Center for Atmospheric Research, Boulder, CO, USA
Department of Chemistry and Biochemistry, University of Montana,
Missoula, MT, USA
Jennifer Kaiser
School of Civil and Environmental Engineering or Earth, Georgia
Institute of Technology, Atlanta, GA, USA
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA, USA
Frank N. Keutsch
John A. Paulson School of Engineering and Applied Sciences, Harvard
University, Cambridge, MA 02138, USA
Department of Chemistry and Chemical Biology, Harvard University,
Cambridge, MA 02138, USA
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA 02138, USA
Wade Permar
Department of Chemistry and Biochemistry, University of Montana,
Missoula, MT, USA
Jason M. Clair
Atmospheric Chemistry and Dynamic Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD 21228, USA
Glenn M. Wolfe
Atmospheric Chemistry and Dynamic Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD 21228, USA
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Cited
10 citations as recorded by crossref.
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- The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere C. Thompson et al. 10.1175/BAMS-D-20-0315.1
- Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
- Vibrational levels of formaldehyde: Calculations from new high precision potential energy surfaces and comparison with experimental band origins A. Nikitin et al. 10.1016/j.jqsrt.2020.107478
- Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019 Q. Zhu et al. 10.1289/EHP9406
- Satellite Formaldehyde to Support Model Evaluation M. Harkey et al. 10.1029/2020JD032881
- Measurement report: Observation-based formaldehyde production rates and their relation to OH reactivity around the Arabian Peninsula D. Dienhart et al. 10.5194/acp-21-17373-2021
- An inversion of NO<sub><i>x</i></sub> and non-methane volatile organic compound (NMVOC) emissions using satellite observations during the KORUS-AQ campaign and implications for surface ozone over East Asia A. Souri et al. 10.5194/acp-20-9837-2020
- TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations C. Vigouroux et al. 10.5194/amt-13-3751-2020
- Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. 10.5194/gmd-13-3817-2020
7 citations as recorded by crossref.
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere C. Thompson et al. 10.1175/BAMS-D-20-0315.1
- Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
- Vibrational levels of formaldehyde: Calculations from new high precision potential energy surfaces and comparison with experimental band origins A. Nikitin et al. 10.1016/j.jqsrt.2020.107478
- Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019 Q. Zhu et al. 10.1289/EHP9406
- Satellite Formaldehyde to Support Model Evaluation M. Harkey et al. 10.1029/2020JD032881
- Measurement report: Observation-based formaldehyde production rates and their relation to OH reactivity around the Arabian Peninsula D. Dienhart et al. 10.5194/acp-21-17373-2021
3 citations as recorded by crossref.
- An inversion of NO<sub><i>x</i></sub> and non-methane volatile organic compound (NMVOC) emissions using satellite observations during the KORUS-AQ campaign and implications for surface ozone over East Asia A. Souri et al. 10.5194/acp-20-9837-2020
- TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations C. Vigouroux et al. 10.5194/amt-13-3751-2020
- Development of the global atmospheric chemistry general circulation model BCC-GEOS-Chem v1.0: model description and evaluation X. Lu et al. 10.5194/gmd-13-3817-2020
Latest update: 28 Mar 2023
Short summary
We develop a validation platform for satellite HCHO retrievals using in situ observations from 12 aircraft campaigns. The platform offers an alternative way to quickly assess systematic biases in HCHO satellite products over large domains and long periods, facilitating optimization of retrieval settings and the minimization of retrieval biases. Application to the NASA operational HCHO product indicates that relative biases range from −44.5 % to +112.1 % depending on locations and seasons.
We develop a validation platform for satellite HCHO retrievals using in situ observations from...
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