Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-281-2020
© 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-20-281-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiative flux bias from satellites
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Joint Institute For Regional Earth System Science and Engineering,
University of California, Los Angeles, CA, USA
Kevin W. Bowman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Joint Institute For Regional Earth System Science and Engineering,
University of California, Los Angeles, CA, USA
Kazuyuki Miyazaki
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Japan Agency for Marine-Earth Science and Technology, Yokosuka, Kanagawa, Japan
Makoto Deushi
Meteorological Research Institute, Tsukuba, Ibaraki, Japan
Laura Revell
School of Physical and Chemical Sciences, University of Canterbury,
Christchurch, New Zealand
Eugene Rozanov
Physikalisch-Meteorologisches Observatorium Davos – World Radiation
Center (PMOD/WRC), Davos, Switzerland
Fabien Paulot
NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Sarah Strode
USRA, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Andrew Conley
National Center for Atmospheric Research, Boulder, CO, USA
Jean-François Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
David A. Plummer
Climate Research Branch, Environment and Climate Change Canada,
Montreal, Canada
Luke D. Oman
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Helen Worden
National Center for Atmospheric Research, Boulder, CO, USA
Susan Kulawik
Bay Area Environmental Research Institute, NASA Ames, Moffett Field, CA, USA
David Paynter
NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Andrea Stenke
Institute for Atmospheric and Climate Science, ETH Zürich (ETHZ),
Zürich, Switzerland
Markus Kunze
Freie Universität Berlin, Berlin, Germany
Viewed
Total article views: 3,618 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jun 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,592 | 884 | 142 | 3,618 | 190 | 188 |
- HTML: 2,592
- PDF: 884
- XML: 142
- Total: 3,618
- BibTeX: 190
- EndNote: 188
Total article views: 2,916 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Jan 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,134 | 647 | 135 | 2,916 | 174 | 173 |
- HTML: 2,134
- PDF: 647
- XML: 135
- Total: 2,916
- BibTeX: 174
- EndNote: 173
Total article views: 702 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jun 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 458 | 237 | 7 | 702 | 16 | 15 |
- HTML: 458
- PDF: 237
- XML: 7
- Total: 702
- BibTeX: 16
- EndNote: 15
Viewed (geographical distribution)
Total article views: 3,618 (including HTML, PDF, and XML)
Thereof 3,533 with geography defined
and 85 with unknown origin.
Total article views: 2,916 (including HTML, PDF, and XML)
Thereof 2,916 with geography defined
and 0 with unknown origin.
Total article views: 702 (including HTML, PDF, and XML)
Thereof 602 with geography defined
and 100 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Latest update: 03 Dec 2025
Short summary
The tropospheric ozone increase from pre-industrial to the present day leads to a radiative forcing. The top-of-atmosphere outgoing fluxes at the ozone band are controlled by ozone, water vapor, and temperature. We demonstrate a method to attribute the models’ flux biases to these key players using satellite-constrained instantaneous radiative kernels. The largest spread between models is found in the tropics, mainly driven by ozone and then water vapor.
The tropospheric ozone increase from pre-industrial to the present day leads to a radiative...
Altmetrics
Final-revised paper
Preprint