Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model

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*Title:*	Main Title: Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model
*Description:*	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:*	10.1002/qj.890 (DOI)

Responsible Party

*Creators:*	Annika Schomburg (Author), Victor Venema (Author), Felix Ament (Author), Clemens Simmer (Author)
*Publisher:*	Royal Meteorological Society
*Publication Year:*	2013

Topic

*TR32 Topic:*	Atmosphere
*Related Subproject:*	C4
*Subjects:*	Keywords: Numerical Weather Prediction, Radiative Transfer, COSMO, Atmospheric Modelling, Radiation

File Details

*Filename:*	2012_Schomburg_QJRMS.pdf
*Data Type:*	Text - Article
*Size:*	30 Pages
*File Size:*	248 KB
*Date:*	Available: 12.08.2011
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

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*Download Permission:*	Only Project Members
*General Access and Use Conditions:*	For internal use only
*Access Limitations:*	For internal use only
*Licence:*	[TR32DB] Data policy agreement

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*Publication Status:*	Published
*Review Status:*	Peer reviewed
*Publication Type:*	Article
*Article Type:*	Journal
*Source:*	Quarterly Journal of the Royal Meteorological Society
*Volume:*	138
*Number of Pages:*	12 (91 - 102)

Metadata Details

*Metadata Creator:*	Annika Schomburg
*Metadata Created:*	03.12.2013
*Metadata Last Updated:*	03.12.2013
*Subproject:*	C4
*Funding Phase:*	2
*Metadata Language:*	English
*Metadata Version:*	V50

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