CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Fast NO2 retrievals from Odin-OSIRIS limb scatter measurements

A. E. Bourassa ; C. A. McLinden ; C. E. Sioris ; Samuel Brohede (Institutionen för rymd- och geovetenskap, Global miljömätteknik och modellering) ; A. F. Bathgate ; E. J. Llewellyn ; D. A. Degenstein
Atmospheric Measurement Techniques (1867-1381). Vol. 4 (2011), 5, p. 965-972.
[Artikel, refereegranskad vetenskaplig]

The feasibility of retrieving vertical profiles of NO2 from space-based measurements of limb scattered sunlight has been demonstrated using several different data sets since the 1980's. The NO2 data product routinely retrieved from measurements made by the Optical Spectrograph and InfraRed Imaging System (OSIRIS) instrument onboard the Odin satellite uses a spectral fitting technique over the 437 to 451 nm range, over which there are 36 individual wavelength measurements. In this work we present a proof of concept technique for the retrieval of NO2 using only 4 of the 36 OSIRIS measurements in this wavelength range, which reduces the computational cost by almost an order of magnitude. The method is an adaptation of a triplet analysis technique that is currently used for the OSIRIS retrievals of ozone at Chappuis band wavelengths. The results obtained are shown to be in very good agreement with the spectral fit method, and provide an important alternative for applications where the computational burden is very high. Additionally this provides a baseline for future instrument design in terms of cost effectiveness and reducing spectral range requirements.

Nyckelord: algebraic reconstruction technique, nitrogen-dioxide concentrations, solar mesosphere explorer, infrared imager system, vertical profiles, stratospheric no2, optical spectrograph, sciamachy, o-3, satellite

Denna post skapades 2011-06-16. Senast ändrad 2011-09-16.
CPL Pubid: 141761


Läs direkt!

Lokal fulltext (fritt tillgänglig)

Länk till annan sajt (kan kräva inloggning)