Data assimilation of stratospheric ozone using a high-resolution transport model

Details Data assimilation of stratospheric ozone using a high-resolution transport model Data assimilation of stratospheric ozone using a high-resolution transport model

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29j..19f&link_type=abstract

Geophysical Research Letters, Volume 29, Issue 10, pp. 19-1, CiteID 1381, DOI 10.1029/2001GL014272

Mathematics

Logic

7

Global Change: Oceans (4203), Oceanography: General: Analytical Modeling, Oceanography: General: Paleoceanography, Oceanography: Biological And Chemical: Carbon Cycling, Oceanography: Biological And Chemical: Stable Isotopes

Scientific paper

We describe a method for assimilating sequentially tracer measurements in isentropic chemistry-transport models (CTMs) of the stratosphere. The parametrisation of the forecast error covariance and its evolution is largely based on simplifications described in Menard and Chang [2000] and Khattatov et al. [2000]. The model used here is a high resolution isentropic advection model which is driven by ECMWF (European Center for Medium range Weather Forcast) meteorological analyses. The assimilation on isentropic surfaces allow us to exploit the well-established correlation between tracer mixing ratio and potential vorticity in the formulation of the forecast error covariance. Multiple 20-day sequential assimilations of MLS (Microwave Limb Sounder onboard UARS satellite) ozone data during an ozone depletion event are performed. χ2 (chi-square) and OmF (observation minus forecast) statistics are used to optimise the assimilation system by adjusting parameters of the error covariance. The quality of the analysis is found to be significantly improved when the strong correlation between ozone and potential vorticity is taken into account.

Affiliated with

Also associated with

No associations

Rating

Data assimilation of stratospheric ozone using a high-resolution transport model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Data assimilation of stratospheric ozone using a high-resolution transport model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data assimilation of stratospheric ozone using a high-resolution transport model will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1517147