Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-1155-2017
© Author(s) 2017. 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-10-1155-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Mar 2017
Research article |
| 21 Mar 2017
Improved OSIRIS NO2 retrieval algorithm: description and validation
Christopher E. Sioris
CORRESPONDING AUTHOR
Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Landon A. Rieger
University of Saskatchewan, Saskatoon, Canada
Nicholas D. Lloyd
University of Saskatchewan, Saskatoon, Canada
Adam E. Bourassa
University of Saskatchewan, Saskatoon, Canada
Chris Z. Roth
University of Saskatchewan, Saskatoon, Canada
Douglas A. Degenstein
University of Saskatchewan, Saskatoon, Canada
Claude Camy-Peyret
Institut Pierre Simon Laplace, Paris, France
Klaus Pfeilsticker
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Gwenaël Berthet
LPC2E, Centre National de la Recherche Scientifique, Université Orléans, Orléans, France
Valéry Catoire
LPC2E, Centre National de la Recherche Scientifique, Université Orléans, Orléans, France
Florence Goutail
Centre National de la Recherche Scientifique, Guyancourt, France
Jean-Pierre Pommereau
Centre National de la Recherche Scientifique, Guyancourt, France
Chris A. McLinden
Air Quality Research Division, Environment and Climate Change Canada, Toronto, Canada
Data sets
OSIRIS NO2 v6.0.2 (Version 6.0.2) [Data set] Christopher E. Sioris, Landon A. Rieger, Nicholas D. Lloyd, Adam E. Bourassa, Christopher Z. Roth, and Douglas A. Degenstein https://doi.org/10.5281/zenodo.4075401
Short summary
A new OSIRIS NO2 retrieval algorithm is described and validated using > 40 balloon-based profile measurements. The validation results indicate a slight improvement relative to the existing operational algorithm in terms of the bias versus the balloon data, particularly in the lower stratosphere. The implication is that this new algorithm should replace the operational one. The motivation was to combine spectral fitting and the SaskTRAN radiative transfer model to achieve an improved product.
A new OSIRIS NO2 retrieval algorithm is described and validated using 40 balloon-based profile...
