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| Titel |
Statistics of aerosol and clouds interactions from satellite measurements |
| VerfasserIn |
Luca Lelli, Marco Vountas |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250148310
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| Publikation (Nr.) |
 EGU/EGU2017-12553.pdf |
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| Zusammenfassung |
| The goal of the ESA project “STatistics of AeRosol and CLouds INTeractions from satellite"
(STARCLINT) is to obtain a quantitative assessment of the interactions between suspended
aerosol particles and clouds. Such interactions are thought to vastly determine the settings of
our climate system and, therefore, to shape human activities and well-being. The long-term
observational record provided by satellites enables the assessment of robust statistical
relationships between atmospheric particulate and clouds, despite the superimposed
modulation of regional- to-continental and mesoscale meteorology. Making use of the data
sets generated within the ESA Aerosol, Cloud and Sea Surface Temperature (SST) Climate
Change Initiative (CCI) activities, together with supplementary informations of
complementary ground-based and spaceborne records, suitable local regimes of cloud
and aerosol properties are identified, that are considered natural laboratories in
which the meteorology is singled out. Following this observational-based approach,
three questions are addressed: (1) to what extent the satellite records, generated
with different techniques, are representative of the properties of the same cloud
parts? (2) What corrections are needed for merging time series of columnar vs
vertically resolved properties? (3) How to identify cloud and ice condensation nuclei
(CCN/IN)? The outcome of STARCLINT is the identification of observational
spatio-temporal constraints as well as of ranges of confidence in the satellite data
sets enabling a geophysical assessment of local interactions in specific regional
environmental conditions, as quantified by in-situ networks. Devising this established logical
framework, the full length and geographical coverage of satellite records can be
exploited, making a step toward an improved knowledge of the hydrological cycle. |
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