Preprints
https://doi.org/10.5194/amtd-5-775-2012
https://doi.org/10.5194/amtd-5-775-2012
18 Jan 2012
 | 18 Jan 2012
Status: this preprint was under review for the journal AMT. A revision for further review has not been submitted.

New dynamic NNORSY ozone profile climatology

A. K. Kaifel, M. Felder, C. DeClercq, and J.-C. Lambert

Abstract. Climatological ozone profile data are widely used as a-priori information for total ozone using DOAS type retrievals as well as for ozone profile retrieval using optimal estimation, for data assimilation or evaluation of 3-D chemistry-transport models and a lot of other applications in atmospheric sciences and remote sensing. For most applications it is important that the climatology represents not only long term mean values but also the links between ozone and dynamic input parameters. These dynamic input parameters should be easily accessible from auxiliary datasets or easily measureable, and obviously should have a high correlation with ozone. For ozone profile these parameters are mainly total ozone column and temperature profile data. This was the outcome of a user consultation carried out in the framework of developing a new, dynamic ozone profile climatology.

The new ozone profile climatology is based on the Neural Network Ozone Retrieval System (NNORSY) widely used for ozone profile retrieval from UV and IR satellite sounder data. NNORSY allows implicit modelling of any non-linear correspondence between input parameters (predictors) and ozone profile target vector. This paper presents the approach, setup and validation of a new family of ozone profile climatologies with static as well as dynamic input parameters (total ozone and temperature profile). The neural network training relies on ozone profile measurement data of well known quality provided by ground based (ozonesondes) and satellite based (SAGE II, HALOE, and POAM-III) measurements over the years 1995–2007. In total, four different combinations (modes) for input parameters (date, geolocation, total ozone column and temperature profile) are available.

The geophysical validation spans from pole to pole using independent ozonesonde, lidar and satellite data (ACE-FTS, AURA-MLS) for individual and time series comparisons as well as for analysing the vertical and meridian structure of different modes of the NNORSY ozone profile climatology. The NNORSY ozone profile climatology is available to the community as a comprehensive software library.

A. K. Kaifel, M. Felder, C. DeClercq, and J.-C. Lambert
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed (peer review stopped)
Status: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
A. K. Kaifel, M. Felder, C. DeClercq, and J.-C. Lambert
A. K. Kaifel, M. Felder, C. DeClercq, and J.-C. Lambert

Viewed

Total article views: 1,486 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
909 479 98 1,486 82 82
  • HTML: 909
  • PDF: 479
  • XML: 98
  • Total: 1,486
  • BibTeX: 82
  • EndNote: 82
Views and downloads (calculated since 01 Feb 2013)
Cumulative views and downloads (calculated since 01 Feb 2013)

Saved

Latest update: 28 Mar 2024