TR32-Database: Database of Transregio 32

[695] - Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Features
Citation
Schomburg, A., Venema, V., Ament, F., Simmer, C., 2012. Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model. Quarterly Journal of the Royal Meteorological Society, 138, 91 - 102. DOI: 10.1002/qj.890.
Identification
Title(s):Main Title: Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model
Description(s):Abstract: Since the computational burden of radiative transfer parameterisations is considerable, operational atmospheric models use various sampling, coarsening and interpolation techniques to reduce this load, which, however, introduce new errors. An adaptive radiative transfer scheme takes advantage of the spatial and temporal correlations in the optical characteristics of the atmosphere to make the parameterisation computationally more efficient. The adaptive scheme employed in this article generalises the accurate radiation computations made in a fraction of the spatial and temporal space to the rest of the field. In this study the scheme developed and presented in a previous article was extended to atmospheric heating rates and implemented in the numerical weather prediction model COSMO. Three case studies with different synoptic conditions were carried out with the operational COSMODE setup on a 2.8 km horizontal grid size. The performance of the adaptive scheme is compared with the performance of the currently operational COSMO-DE radiation configuration, where the radiation computations are performed quarter-hourly on 2x2 averaged atmospheric columns. The reference for both schemes are frequent radiation computations for the full grid. We show that the adaptive scheme is able to reduce the sampling errors in the radiation surface fluxes considerably and to conserve the spatial variability in contrast to the operational scheme. Deviations in 1 the three-dimensional heating rates are reduced for larger averaging scales. Physical relationships between the radiative quantities and cloud water or rain rates are better captured. It is shown that these improvements also lead to improvements with respect to the dynamical development of the model simulation, showing a smaller divergence from the reference model run.
Identifier(s):DOI: 10.1002/qj.890
Responsible Party
Creator(s):Author: Annika Schomburg
Author: Victor Venema
Author: Felix Ament
Author: Clemens Simmer
Publisher:Royal Meteorological Society
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Numerical Weather Prediction, Radiative Transfer, COSMO, Atmospheric Modelling, Radiation
File Details
File Name:2012_Schomburg_QJRMS.pdf
Data Type:Text
Size(s):30 Pages
File Size:248 kB (0.242 MB)
Date(s):Available: 2011-08-12
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
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Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2012
Type:Article
Article Type:Journal
Source:Quarterly Journal of the Royal Meteorological Society
Volume:138
Number Of Pages:30
Page Range:91 - 102
Metadata Details
Metadata Creator:Annika Schomburg
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:C4
Funding Phase:2
Metadata Language:English
Metadata Version:V40
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Page Visits:187
Metadata Downloads:0
Dataset Downloads:2
Dataset Activity
Features