 |
| Titel |
CIAO: the CNR-IMAA advanced observatory for atmospheric research |
| VerfasserIn |
F. Madonna, A. Amodeo, A. Boselli, C. Cornacchia, V. Cuomo, G. D'Amico, A. Giunta, L. Mona, G. Pappalardo |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 6 ; Nr. 4, no. 6 (2011-06-24), S.1191-1208 |
| Datensatznummer |
250002017
|
| Publikation (Nr.) |
 copernicus.org/amt-4-1191-2011.pdf |
|
|
|
|
|
| Zusammenfassung |
| Long-term observations of aerosol and clouds are of crucial importance to
understand the weather climate system. At the Istituto di Metodologie per
l'Analisi Ambientale of the Italian National Research Council (CNR-IMAA) an
advanced atmospheric observatory, named CIAO, is operative. CIAO (CNR-IMAA
Atmospheric Observatory) main scientific objective is the long term
measurement for the climatology of aerosol and cloud properties. Its
equipment addresses the state-of-the-art for the ground-based remote sensing
of aerosol, water vapour and clouds including active and passive sensors,
like lidars, ceilometers, radiometers, and a radar. This paper describes the
CIAO infrastructure, its scientific activities as well as the observation
strategy. The observation strategy is mainly organized in order to provide
quality assured measurements for satellite validation and model evaluation
and to fully exploit the synergy and integration of the active and passive
sensors for the improvement of atmospheric profiling. Data quality is
ensured both by the application of protocols and dedicated quality assurance
programs mainly related to the projects and networks in which the
infrastructure is involved. The paper also introduces examples of
observations performed at CIAO and of the synergies and integration
algorithms (using Raman lidar and microwave profiler data) developed and
implemented at the observatory for the optimization and improvement of water
vapour profiling. CIAO database represents an optimal basis to study the
synergy between different sensors and to investigate aerosol-clouds
interactions, and can give a significant contribution to the validation
programs of the incoming new generation satellite missions. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|