Articles | Volume 9, issue 6
https://doi.org/10.5194/amt-9-2647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-2647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013
Caroline R. Nowlan
CORRESPONDING AUTHOR
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Xiong Liu
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
James W. Leitch
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Kelly Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Gonzalo González Abad
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Cheng Liu
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
now at: University of Science and Technology, Hefei, Anhui, China
Peter Zoogman
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Joshua Cole
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Thomas Delker
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
William Good
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Frank Murcray
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Lyle Ruppert
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Daniel Soo
Ball Aerospace & Technologies Corporation, Boulder, CO 80301, USA
Melanie B. Follette-Cook
Morgan State University/GESTAR, Baltimore, MD 21251, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Scott J. Janz
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Matthew G. Kowalewski
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Christopher P. Loughner
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
University of Maryland, College Park, MD 20742, USA
Kenneth E. Pickering
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jay R. Herman
University of Maryland, Baltimore County, Baltimore, MD 21201, USA
Melinda R. Beaver
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Russell W. Long
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
James J. Szykman
Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Laura M. Judd
University of Houston, Houston, TX 77004, USA
Paul Kelley
University of Maryland, College Park, MD 20742, USA
NOAA Air Resources Laboratory, College Park, MD 20740, USA
Winston T. Luke
NOAA Air Resources Laboratory, College Park, MD 20740, USA
Xinrong Ren
University of Maryland, College Park, MD 20742, USA
NOAA Air Resources Laboratory, College Park, MD 20740, USA
Jassim A. Al-Saadi
NASA Langley Research Center, Hampton, VA 23681, USA
Download
- Final revised paper (published on 23 Jun 2016)
- Preprint (discussion started on 15 Dec 2015)
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC C5061: 'NowlanEtAl_AMT2015_RefereeComment', Anonymous Referee #1, 20 Jan 2016
- AC C5697: 'Response to Reviewer #1', Caroline Nowlan, 18 Mar 2016
-
RC C5167: 'Peer Review of Nowlan et al, 2016', Anonymous Referee #2, 25 Jan 2016
- AC C5708: 'Response to Reviewer #2', Caroline Nowlan, 18 Mar 2016
Short summary
The Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) instrument is a remote sensing airborne instrument developed in support of future air quality satellite missions that will operate from geostationary orbit. GeoTASO flew in its first intensive field campaign during the DISCOVER-AQ 2013 Earth Venture Mission over Houston, Texas. This paper introduces the instrument and data analysis, and presents GeoTASO's first observations of NO2 at 250 m x 250 m spatial resolution.
The Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) instrument is a remote...