Umfang:
1 Online-Ressource (xiv, 190 Seiten, 11532 KB)
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Inhalt:
Numerous reports of relatively rapid climate changes over the past century make a clear case of the impact of aerosols and clouds, identified as sources of largest uncertainty in climate projections. Earth’s radiation balance is altered by aerosols depending on their size, morphology and chemical composition. Competing effects in the atmosphere can be further studied by investigating the evolution of aerosol microphysical properties, which are the focus of the present work. The aerosol size distribution, the refractive index, and the single scattering albedo are commonly used such properties linked to aerosol type, and radiative forcing. Highly advanced lidars (light detection and ranging) have reduced aerosol monitoring and optical profiling into a routine process. Lidar data have been widely used to retrieve the size distribution through the inversion of the so-called Lorenz-Mie model (LMM). This model offers a reasonable treatment for spherically approximated particles, it no longer provides, though, a viable description for ...
Anmerkung:
Dissertation Universität Potsdam 2017
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Samaras, Stefanos Microphysical retrieval of non-spherical aerosol particles using regularized inversion of multi-wavelength lidar data Potsdam, 2016
Sprache:
Englisch
Schlagwort(e):
Numerisches Modell
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Aerosol
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Lidar
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Hochschulschrift
URN:
urn:nbn:de:kobv:517-opus4-396528
URL:
https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-396528
URL:
https://d-nb.info/1218402091/34