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Remote sensing of cloud sides of deep convection: Towards a 3D retrieval of cloud partlicle profiles

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/
Document Type:Article
Title:Remote sensing of cloud sides of deep convection: Towards a 3D retrieval of cloud partlicle profiles
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Zinner, TobiasUNSPECIFIEDUNSPECIFIED
Marshak, AlexanderNASA – Goddard Space Flight Center, Greenbelt, MD, USAUNSPECIFIED
Lang, StevenNASA – Goddard Space Flight Center, Lanham, MD, USAUNSPECIFIED
Martins, J. VanderleiUniv. of Maryland Baltimore County, Baltimore, MD, USAUNSPECIFIED
Mayer, BernhardUNSPECIFIEDUNSPECIFIED
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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