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Large-scale analysis of relationships between mineral dust, ice cloud properties and precipitation from satellite observations using a Bayesian approach: Theoretical basis and first results for the tropical Atlantic Ocean

Klüser, Lars and Popp, Thomas (2017) Large-scale analysis of relationships between mineral dust, ice cloud properties and precipitation from satellite observations using a Bayesian approach: Theoretical basis and first results for the tropical Atlantic Ocean. Advances in Meteorology, 2017, pp. 1-18. Hindawi Publishing Corporation. DOI: 10.1155/2017/5278120 ISSN 1687-9309

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Abstract

Mineral dust and ice cloud observations from the Infrared Atmospheric Sounding Interferometer (IASI) are used to assess the relationships between desert dust aerosols and ice clouds over the tropical Atlantic Ocean during the hurricane season 2008. Cloud property histograms are first adjusted for varying cloud top temperature or ice water path distributions with a Bayesian approach to account for meteorological constraints on the cloud variables. Then, histogram differences between dust load classes are used to describe the impact of dust load on cloud property statistics. The analysis of the histogram differences shows that ice crystal sizes are reduced with increasing aerosol load and ice cloud optical depth and ice water path are increased.The distributions of all three variables broaden and get less skewed in dusty environments. For ice crystal size the significant bimodality is reduced and the order of peaks is reversed.Moreover, it is shown that not only are distributions of ice cloud variables simply shifted linearly but also variance, skewness, and complexity of the cloud variable distributions are significantly affected.This implies that the whole cloud variable distributions have to be considered for indirect aerosol effects in any application for climate modelling.

Item URL in elib:https://elib.dlr.de/113777/
Document Type:Article
Title:Large-scale analysis of relationships between mineral dust, ice cloud properties and precipitation from satellite observations using a Bayesian approach: Theoretical basis and first results for the tropical Atlantic Ocean
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Klüser, LarsLars.Klueser (at) dlr.deUNSPECIFIED
Popp, Thomasthomas.popp (at) dlr.dehttps://orcid.org/0000-0002-1970-8733
Date:2017
Journal or Publication Title:Advances in Meteorology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:2017
DOI :10.1155/2017/5278120
Page Range:pp. 1-18
Publisher:Hindawi Publishing Corporation
ISSN:1687-9309
Status:Published
Keywords:Mineral dust, remote sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Popp, Dr.rer.nat Thomas
Deposited On:13 Sep 2017 11:49
Last Modified:08 Mar 2018 18:40

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