Zinner, Tobias and Marshak, Alexander and Lang, Steven and Martins, J. Vanderlei and Mayer, Bernhard (2008) Remote sensing of cloud sides of deep convection: Towards a 3D retrieval of cloud partlicle profiles. Atmospheric Chemistry and Physics, 8, pp. 4741-4757. Copernicus Publications.
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Official URL: http://www.atmos-chem-phys.net/8/4741/2008/acp-8-4741-2008.html
Abstract
The cloud scanner sensor is a central part of a recently proposed satellite remote sensing concept – the three-dimensional (3-D) cloud and aerosol interaction mission (CLAIM-3D) combining measurements of aerosol characteristics in the vicinity of clouds and profiles of cloud microphysical characteristics. Such a set of collocated measurements will allow new insights in the complex field of cloud-aerosol interactions affecting directly the development of clouds and precipitation, especially in convection. The cloud scanner measures radiance reflected or emitted by cloud sides at several wavelengths to derive a profile of cloud particle size and thermodynamic phase. For the retrieval of effective size a Bayesian approach was adopted and introduced in a preceding paper. In this paper the potential of the approach, which has to account for the complex three-dimensional nature of cloud geometry and radiative transfer, is tested in realistic cloud observing situations. In a fully simulated environment realistic cloud resolving modelling provides complex 3-D structures of ice, water, and mixed phase clouds, from the early stage of convective development to mature deep convection. A three-dimensional Monte Carlo radiative transfer is used to realistically simulate the aspired observations. A large number of cloud data sets and related simulated observations provide the database for an experimental Bayesian retrieval. An independent simulation of an additional cloud field serves as a synthetic test bed for the demonstration of the capabilities of the developed retrieval techniques. For this test case only a minimal overall bias in the order of 1% as well as pixel-based uncertainties in the order of 1 μm for droplets and 8 μm for ice particles were found for measurements at a high spatial resolution of 250 m.
Item URL in elib: | https://elib.dlr.de/53616/ | ||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||
Title: | Remote sensing of cloud sides of deep convection: Towards a 3D retrieval of cloud partlicle profiles | ||||||||||||||||||
Authors: |
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Date: | 18 August 2008 | ||||||||||||||||||
Journal or Publication Title: | Atmospheric Chemistry and Physics | ||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||
Volume: | 8 | ||||||||||||||||||
Page Range: | pp. 4741-4757 | ||||||||||||||||||
Publisher: | Copernicus Publications | ||||||||||||||||||
Status: | Published | ||||||||||||||||||
Keywords: | thunderstorm, monte carlo, cloud resolving modelling, effective radius | ||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport (old) | ||||||||||||||||||
HGF - Program: | Space (old) | ||||||||||||||||||
HGF - Program Themes: | W EO - Erdbeobachtung | ||||||||||||||||||
DLR - Research area: | Space | ||||||||||||||||||
DLR - Program: | W EO - Erdbeobachtung | ||||||||||||||||||
DLR - Research theme (Project): | W - Projekt Partikel und Zirren II (old) | ||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||
Institutes and Institutions: | Institute of Atmospheric Physics > Atmospheric Remote Sensing | ||||||||||||||||||
Deposited By: | Zinner, Dr.rer.nat. Tobias | ||||||||||||||||||
Deposited On: | 26 Aug 2008 | ||||||||||||||||||
Last Modified: | 02 May 2019 14:03 |
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