TR32-Database: Database of Transregio 32

[745] - A new algorithm for the downscaling of cloud fields

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Features
Citation
Venema, V., Gimeno Garc?a, S., Simmer, C., 2010. A new algorithm for the downscaling of cloud fields. Quarterly Journal of the Royal Meteorological Society, 136, 91 - 106. DOI: 10.1002/qj.535.
Identification
Title(s):Main Title: A new algorithm for the downscaling of cloud fields
Description(s):Abstract: We present a novel algorithm for the downscaling of three-dimensional cloud fields. The goal of the algorithm is to add realistic subscale variability to a coarse field taking the resolved variability into account. Themethod is tested by coarse graining high-resolution sparse cumulus and broken stratocumulus clouds in the horizontal plane, downscaling these coarse fields back to the high resolution and comparing the radiative and microphysical properties of these downscaled fields with the original high-resolution fields. The resolutions of the cumulus and stratocumulus clouds used for this purpose are increased by a factor of four and ten, respectively. The downscaling decreases the errors in the flux transmittance and reflectance of the cumulus and stratocumulus cloud fields by at least a factor of ten and three, respectively, compared to utilising the coarse cloud fields. A novel aspect of our algorithm is the fact that it constrains the high-resolution fields of cloud liquid water content as well as the subscale cloud fraction. An alternative version that does not include cloud fraction information is less accurate, but still significantly better than using the coarse fields. The latter downscaling algorithm can also be utilised for the disaggregation of geophysical fields for which fractional coverages are not defined. Furthermore, the downscaling algorithm can be combined with our other algorithms to generate surrogate fields with other constraints, for example, surrogate clouds with a prescribed liquid water content height distribution.
Identifier(s):DOI: 10.1002/qj.535
Responsible Party
Creator(s):Author: Victor Venema
Author: Sebastian Gimeno Garc?a
Author: Clemens Simmer
Publisher:Royal Meteorological Society
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Disaggregation, Stochastic Modelling, 3D Radiative Transfer
File Details
File Name:2010_Venema_QJRMS.pdf
Data Type:Text
Size(s):16 Pages
File Size:1673 kB (1.634 MB)
Date(s):Date Accepted: 2009-10-07
Issued: 2010-01-15
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2010
Type:Article
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Volume:136
Number Of Pages:16
Page Range:91 - 106
Metadata Details
Metadata Creator:Victor Venema
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:C4
Funding Phase:1
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:129
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
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