Universität zu Köln

Maahn, Maximilian ORCID: 0000-0002-2580-9100 and Loehnert, Ulrich (2017). Potential of Higher-Order Moments and Slopes of the Radar Doppler Spectrum for Retrieving Microphysical and Kinematic Properties of Arctic Ice Clouds. J. Appl. Meteorol. Climatol., 56 (2). S. 263 - 283. BOSTON: AMER METEOROLOGICAL SOC. ISSN 1558-8432

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Abstract

Retrievals of ice-cloud properties from cloud-radar observations are challenging because the retrieval methods are typically underdetermined. Here, the authors investigate whether additional information can be obtained from higher-order moments and the slopes of the radar Doppler spectrum such as skewness and kurtosis as well as the slopes of the Doppler peak. To estimate quantitatively the additional information content, a generalized Bayesian retrieval framework that is based on optimal estimation is developed. Real and synthetic cloud-radar observations of the Indirect and Semi-Direct Aerosol Campaign (ISDAC) dataset obtained around Barrow, Alaska, are used in this study. The state vector consists of the microphysical (particle-size distribution, mass-size relation, and cross section-area relation) and kinematic (vertical wind and turbulence) quantities required to forward model the moments and slopes of the radar Doppler spectrum. It is found that, for a single radar frequency, more information can be retrieved when including higher-order moments and slopes than when using only reflectivity and mean Doppler velocity but two radar frequencies. When using all moments and slopes with two or even three frequencies, the uncertainties of all state variables, including the mass-size relation, can be considerably reduced with respect to the prior knowledge.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Maahn, Maximilian UNSPECIFIED orcid.org/0000-0002-2580-9100 UNSPECIFIED Loehnert, Ulrich UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-240508
DOI:	10.1175/JAMC-D-16-0020.1
Journal or Publication Title:	J. Appl. Meteorol. Climatol.
Volume:	56
Number:	2
Page Range:	S. 263 - 283
Date:	2017
Publisher:	AMER METEOROLOGICAL SOC
Place of Publication:	BOSTON
ISSN:	1558-8432
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Institute for Geophysics and Meteorology
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WATER-CONTENT; PARTICLE; SNOW; SIZE; BACKSCATTER; AGGREGATE; AIRCRAFT; RAIN; SCATTERING; PROFILES Multiple languages Meteorology & Atmospheric Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/24050