[1512] - Statistical retrieval of thin liquid cloud microphysical properties using ground-based infrared and microwave observations

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Citation
Marke, T., Ebell, K., Löhnert, U., Turner, D., 2016. Statistical retrieval of thin liquid cloud microphysical properties using ground-based infrared and microwave observations. Journal of Geophysical Reserach: Atmospheres, 121 (24), 14558 - 15573. DOI: 10.1002/2016JD025667.
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Identification
Title(s):Main Title: Statistical retrieval of thin liquid cloud microphysical properties using ground-based infrared and microwave observations
Description(s):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.
Identifier(s):DOI: 10.1002/2016JD025667
Responsible Party
Creator(s):Author: Tobias Marke
Author: Kerstin Ebell
Author: Ulrich Löhnert
Author: David Turner
Publisher:Wiley
Topic
TR32 Topic:Atmosphere
Related Sub-project(s):D2
Subject(s):CRC/TR32 Keywords: Microwave Radiometer, Liquid Water, Atmospheric Measurement
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:Marke_et_al_2016_JGA.pdf
Data Type:Text
File Size:2718 kB (2.654 MB)
Date(s):Date Accepted: 2016-11-17
Date Submitted: 2016-07-18
Available: 2016-12-20
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Jülich (research centre)
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2016
Type:Article
Article Type:Journal
Source:Journal of Geophysical Reserach: Atmospheres
Issue:24
Volume:121
Number Of Pages:16
Page Range:14558 - 15573
Metadata Details
Metadata Creator:Tobias Marke
Metadata Created:2016-11-30
Metadata Last Updated:2017-01-16
Subproject:D2
Funding Phase:3
Metadata Language:English
Metadata Version:V41
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Page Visits:429
Metadata Downloads:0
Dataset Downloads:2
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