http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45445
The AMMA MULID network for aerosol characterization in West Africa (Articolo in rivista)
- Type
- Label
- The AMMA MULID network for aerosol characterization in West Africa (Articolo in rivista) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Alternative label
Olga Cavalieri , Guido Di Donfrancesco , Francesco Cairo , Federico Fierli , Marcel Snels , Maurizio Viterbini , Francesco Cardillo , Bernadette Chatenet , Paola Formenti , Beatrice Marticorena & Jean Louis Rajot (2011)
The AMMA MULID network for aerosol characterization in West Africa
in International journal of remote sensing (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Olga Cavalieri , Guido Di Donfrancesco , Francesco Cairo , Federico Fierli , Marcel Snels , Maurizio Viterbini , Francesco Cardillo , Bernadette Chatenet , Paola Formenti , Beatrice Marticorena & Jean Louis Rajot (literal)
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- Rivista
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Agenzia nazionale per le nuove tecnologie, l'energia e lo
sviluppo sostenibile, Unitàà Tecnica Modellistica Energetica
Ambientale, Italy
Laboratoire Interuniversitaire des Systemes Atmosphéériques,
Paris, France
Institute des Researches pour le Developpement, Niamey, Niger (literal)
- Titolo
- The AMMA MULID network for aerosol characterization in West Africa (literal)
- Abstract
- Three ground-based portable low power consumption micro lidars (MULID)
have been built and deployed at three remote sites in Banizoumbou (Niger),
Cinzana (Mali) and MBour (Senegal) in the framework of the African Monsoon
Multidisciplinary Analyses (AMMA) project for the characterization of aerosols
optical properties. A description of the instrument and a discussion of the data
inversion method, including a careful analysis of measurement uncertainties (systematic
and statistical errors), are presented. Some case studies of typical lidar
profiles observed over the Banizoumbou site during 2006 are shown and discussed
with respect to the Aerosol Robotic Network (AERONET) 7-day back-trajectories
and the biomass burning emissions from the Combustion Emission database for
the AMMA campaign. (literal)
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