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Subscale forcing in a global atmospheric circulation model and stochastic parametrization

Subscale forcing in a global atmospheric circulation model and stochastic parametrization A global atmospheric circulation model is used to derive the properties of the subscale forcing in the primitive equations. The study is based on a simulation with the model PUMA (Portable University Model of the Atmosphere), which represents a dynamical core with linear diabatic heating and friction. The subscale forcing is determined for a low wave number resolution T21 ≈5° × 5° embedded in T42 resolution ≈2.5° × 2.5° using the differences between the low wave number filtered T42 model and the forcing by low wave numbers (T21). The mean subscale forcing vanishes (besides a small heating contribution). The variance has largest values in the midlatitudes for vorticity (mid‐troposphere), temperature (lower troposphere), and in the polar mid‐troposphere for divergence. The temporal correlations reveal a slow decay in the first few hours followed by an exponential decay with an e‐folding time of about one day. The correlation with hyperdiffusion (∼∇8) is below 0.4. Based on these results the design of stochastic parametrizations is suggested. Copyright © 2006 Royal Meteorological Society http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Quarterly Journal of the Royal Meteorological Society Wiley

Subscale forcing in a global atmospheric circulation model and stochastic parametrization

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References (34)

Publisher
Wiley
Copyright
"Copyright © 2006 Wiley Subscription Services, Inc., A Wiley Company"
ISSN
0035-9009
eISSN
1477-870X
DOI
10.1256/qj.05.139
Publisher site
See Article on Publisher Site

Abstract

A global atmospheric circulation model is used to derive the properties of the subscale forcing in the primitive equations. The study is based on a simulation with the model PUMA (Portable University Model of the Atmosphere), which represents a dynamical core with linear diabatic heating and friction. The subscale forcing is determined for a low wave number resolution T21 ≈5° × 5° embedded in T42 resolution ≈2.5° × 2.5° using the differences between the low wave number filtered T42 model and the forcing by low wave numbers (T21). The mean subscale forcing vanishes (besides a small heating contribution). The variance has largest values in the midlatitudes for vorticity (mid‐troposphere), temperature (lower troposphere), and in the polar mid‐troposphere for divergence. The temporal correlations reveal a slow decay in the first few hours followed by an exponential decay with an e‐folding time of about one day. The correlation with hyperdiffusion (∼∇8) is below 0.4. Based on these results the design of stochastic parametrizations is suggested. Copyright © 2006 Royal Meteorological Society

Journal

The Quarterly Journal of the Royal Meteorological SocietyWiley

Published: Jul 1, 2006

Keywords: ; ;

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