Visconti / Di Carlo / Brune | Observing Systems for Atmospheric Composition | Buch | 978-0-387-30719-0 | sack.de

Buch, Englisch, 244 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 1200 g

Visconti / Di Carlo / Brune

Observing Systems for Atmospheric Composition

Satellite, Aircraft, Sensor Web and Ground-Based Observational Methods and Strategies

Buch, Englisch, 244 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 1200 g

ISBN: 978-0-387-30719-0
Verlag: Springer


One challenge in atmospheric chemistry is understanding the intercontinental transport and transformation of gases and aerosols. This book describes observational and modeling techniques used to understand atmospheric composition from satellites, aircraft and ground based platforms. Common ideas presented throughout are the role of each component in an observing system for atmospheric composition, and advances necessary to improve understanding of atmospheric composition.
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Zielgruppe


Scientists in the fields of air pollution, air quality (modelling), and in general chemistry and dynamics of the atmosphere

Weitere Infos & Material


Observations by Satellites.- Air-Quality Study from Geostationary/High-Altitude Orbits.- Aerosol Forcing and the A-Train.- Total Ozone from Backscattered Ultraviolet Measurements.- The EOS Aura Mission.- MIPAS experiment aboard ENVISAT.- Aircraft and Ground-Based Intensive Campaigns.- Probing the Atmosphere with Research Aircraft-European Aircraft Campaigns.- MOZAIC -Measuring tropospheric constituents from commercial aircraft.- Uninhabited Aerial Vehicles: Current and Future Use.- U.S. Ground-Based Campaign -PM Supersite Program.- Ground-Based Networks.- Ozone from Soundings: A Vital Element of Regional and Global Measurement Strategies.- LIDAR Networks.- U.S. Federal and State Monitoring Networks.- Autonomous Systems and the Sensor Web.- Comparison of Measurements – Calibration and Validation.- Output of the Observational Web.- The Sensor Web: A Future Technique for Increasing Science Return.- Fundamentals of Modeling, Data Assimilation, and High-Performance Computing.- Inverse Modeling Techniques.


Dr. Guido Visconti is professor at the Department of Physcis at l'Aquila University, Italy. He is a leading scientist in the field of remote sensing and has written and edited several books, and made numerous other contributions to the field.

The other editors with a wealth of knowledge and experience are affiliated to respectively l'Aqulia University (Dr. Di Carlo), Penn State University (Dr. Brune), NASA Goddard Space Flight Center (Dr. Schoeberl) and Forschungszentrum Jülich (Dr. Wahner).


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