Data di Pubblicazione:
2009
Abstract:
The Spectrometer for Atmospheric TRAcers Monitoring (SPATRAM) has been
developed as a result of collaboration between the Geophysics Centre of E`
vora
University (CGE-UE), the Institute for Atmospheric Sciences and Climate of the
National Research Council (ISAC-CNR) in Italy and the Italian National Agency
for New Technologies, Energy and the Environment (ENEA). SPATRAM is a
multipurpose ultraviolet (UV)visible scanning spectrometer (250950 nm). It
has been installed at the Observatory of the CGE, in E`
vora, since April 2004
and is currently used to carry out measurements of the zenith scattered radiation,
the so-called Passive mode, to retrieve the vertical content and distribution
of some atmospheric tracers such as ozone (O3) and nitrogen dioxide (NO2)
using Differential Optical Absorption Spectroscopy (DOAS) methodology. The
lack of such measurements taken automatically on a routine basis in southwestern
European regions, specifically in Portugal, motivated the effort for its installation
and constitutes a major driving force for the present work. For continuous
NO2 monitoring the 425455 nm spectral range is investigated. For O3 retrieval
the spectral interval 320340 nm is chosen. The measurements are in good agreement
with the photochemical theory of NO2 (O3), showing maximum values
during the summer (spring) and minimum values during the winter (autumn)
seasons. Moreover, the application of sophisticated inversion schemes to the
output of the DOAS program, using the Air Mass Factor (AMF) matrix as the
kernel of the inversion algorithm, allowed for the determination of the vertical
distribution of NO2 and O3 atmospheric compounds. In addition, the influence of
desert dust aerosol absorption on ozone retrieval is assessed, revealing values
of about 3.5% for an aerosol optical depth (AOD) of 1.0, in the case simulated.
A correction factor is derived and applied whenever desert dust is detected. The
ground-based results obtained for the ozone column content are compared
with data from the satellite-borne Ozone Monitoring Instrument (OMI), and
the two data sets are found to be in good agreement, with a correlation coefficient
of 0.96.
Tipologia CRIS:
01.01 Articolo in rivista
Elenco autori:
Bortoli, Daniele; Giovanelli, Giorgio
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