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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • transport
  • data assimilation
  • stratosphere

Index Terms

  • Atmospheric Processes: Middle atmosphere dynamics
  • Atmospheric Composition and Structure: Middle atmosphere: constituent transport and chemistry
  • Atmospheric Processes: Data assimilation
Abstract
Cited By (4)
 

Abstract

Stratospheric transport using 6-h-averaged winds from a data assimilation system

Steven Pawson

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Ivanka Stajner

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Science Applications International Corporation, Beltsville, Maryland, USA

S. Randolph Kawa

Atmospheric Chemistry and Dynamics Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Hiroo Hayashi

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore, Maryland, USA

Wei-Wu Tan

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Science Applications International Corporation, Beltsville, Maryland, USA

J. Eric Nielsen

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Science Systems and Applications Inc., Lanham, Maryland, USA

Zhengxin Zhu

Atmospheric Chemistry and Dynamics Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Science Systems and Applications Inc., Lanham, Maryland, USA

Lang-Ping Chang

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Science Applications International Corporation, Beltsville, Maryland, USA

Nathaniel J. Livesey

Jet Propulsion Laboratory, Pasadena, California, USA

Stratospheric transport calculated using assimilated winds has been shown to be too fast in many cases, because of excessive mixing and an overstrong residual circulation. It is shown that the use of 6-h-averaged wind fields instead of instantaneous analyses can substantially reduce this problem for NASA's Goddard Earth Observing System version 4 (GEOS-4) sequential data assimilation system. Two examples are used to illustrate impacts in an off-line chemistry transport model. An age-of-air computation shows that the stratosphere becomes substantially older when time-averaged winds are used, yet still not as old as that determined from observations. An ozone assimilation experiment reveals improvements in the spatial structure of assimilated ozone, better agreement with independent observations, and a 40–60% reduction in observation-minus-forecast residuals. The averaged meteorological fields have also been incorporated in the on-line transport computations: This is equivalent to using a 6-h square-wave filter at the analysis times. Sub-6-h noise in the system is substantially reduced with this approach. Two additional examples of transport are shown. A simulation of 2004–2005 shows that the descent of N2O in the Arctic polar vortex is represented more accurately than in previous studies. A tape recorder signal is evident in the tropical moisture; it ascends about 30% faster than that in the real atmosphere. In summary, the use of 6-h-averaged winds substantially improves the transport characteristics of the assimilated data, although the circulation remains too fast.

Received 19 June 2006; accepted 10 August 2007; published 8 December 2007.

Citation: Pawson, S., I. Stajner, S. R. Kawa, H. Hayashi, W.-W. Tan, J. E. Nielsen, Z. Zhu, L.-P. Chang, and N. J. Livesey (2007), Stratospheric transport using 6-h-averaged winds from a data assimilation system, J. Geophys. Res., 112, D23103, doi:10.1029/2006JD007673.

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