Universität zu Köln

Marke, Tobias ORCID: 0000-0001-7804-9056, Ebell, Kerstin ORCID: 0000-0002-0042-4968, Loehnert, Ulrich and Turner, David D. (2016). Statistical retrieval of thin liquid cloud microphysical properties using ground-based infrared and microwave observations. J. Geophys. Res.-Atmos., 121 (24). S. 14558 - 14574. WASHINGTON: AMER GEOPHYSICAL UNION. ISSN 2169-8996

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Abstract

In this article, liquid water cloud microphysical properties are retrieved by a combination of microwave and infrared ground-based observations. Clouds containing liquid water are frequently occurring in most climate regimes and play a significant role in terms of interaction with radiation. Small perturbations in the amount of liquid water contained in the cloud can cause large variations in the radiative fluxes. This effect is enhanced for thin clouds (liquid water path, LWP<100 g/m(2)), which makes accurate retrieval information of the cloud properties crucial. Due to large relative errors in retrieving low LWP values from observations in the microwave domain and a high sensitivity for infrared methods when the LWP is low, a synergistic retrieval based on a neural network approach is built to estimate both LWP and cloud effective radius (r(eff)). These statistical retrievals can be applied without high computational demand but imply constraints like prior information on cloud phase and cloud layering. The neural network retrievals are able to retrieve LWP and r(eff) for thin clouds with a mean relative error of 9% and 17%, respectively. This is demonstrated using synthetic observations of a microwave radiometer (MWR) and a spectrally highly resolved infrared interferometer. The accuracy and robustness of the synergistic retrievals is confirmed by a low bias in a radiative closure study for the downwelling shortwave flux, even for marginally invalid scenes. Also, broadband infrared radiance observations, in combination with the MWR, have the potential to retrieve LWP with a higher accuracy than a MWR-only retrieval.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Marke, Tobias UNSPECIFIED orcid.org/0000-0001-7804-9056 UNSPECIFIED Ebell, Kerstin UNSPECIFIED orcid.org/0000-0002-0042-4968 UNSPECIFIED Loehnert, Ulrich UNSPECIFIED UNSPECIFIED UNSPECIFIED Turner, David D. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-253734
DOI:	10.1002/2016JD025667
Journal or Publication Title:	J. Geophys. Res.-Atmos.
Volume:	121
Number:	24
Page Range:	S. 14558 - 14574
Date:	2016
Publisher:	AMER GEOPHYSICAL UNION
Place of Publication:	WASHINGTON
ISSN:	2169-8996
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WATER CLOUDS; RADIATIVE-TRANSFER; DROPLET SIZE; NETWORK; PATH; ABSORPTION; ALGORITHM; PROFILES; MODELS; VAPOR Multiple languages Meteorology & Atmospheric Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/25373