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Identifying sensitivities for cirrus modelling using a two-moment two-mode bulk microphysics scheme

Köhler, Carmen G. and Seifert, Axel (2015) Identifying sensitivities for cirrus modelling using a two-moment two-mode bulk microphysics scheme. Tellus B - Chemical and Physical Meteorology, 67, pp. 1-27. Taylor & Francis. DOI: doi.org/10.3402/tellusb.v67.24494 ISSN 0280-6509

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Official URL: http://dx.doi.org/10.3402/tellusb.v67.24494

Abstract

Cirrus cloud genesis is an inherently multiscale and non-linear problem. The synoptic scale provides the environment, the mesoscale determines the forcing and the actual nucleation events occur on a microscopic scale. This makes the parameterisation in numerical weather prediction models a challenging task. In order to improve the prediction of cirrus clouds and ice supersaturation formation in the German Weather Service (DWD) model chain, the controlling physical processes are investigated and parameterised in a new cloud ice microphysics scheme.

Item URL in elib:https://elib.dlr.de/99644/
Document Type:Article
Title:Identifying sensitivities for cirrus modelling using a two-moment two-mode bulk microphysics scheme
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Köhler, Carmen G.DLR, IPA; DWD, OffenbachUNSPECIFIED
Seifert, AxelHans-Ertel Centre, DWD, HamburgUNSPECIFIED
Date:2015
Journal or Publication Title:Tellus B - Chemical and Physical Meteorology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:67
DOI :doi.org/10.3402/tellusb.v67.24494
Page Range:pp. 1-27
Publisher:Taylor & Francis
ISSN:0280-6509
Status:Published
Keywords:cloud microphysics, ice nucleation, cirrus clouds, ice supersaturation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Deposited By: Ziegele, Brigitte
Deposited On:23 Nov 2015 10:24
Last Modified:08 Mar 2018 18:52

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