Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM - Perfect model experiments

J. Liu, Elana Fertig, H. Li, E. Kalnay, B. R. Hunt, E. J. Kostelich, I. Szunyogh, R. Todling

Research output: Contribution to journalArticle

Abstract

This paper compares the performance of the Local Ensemble Transform Kalman Filter (LETKF) with the Physical-Space Statistical Analysis System (PSAS) under a perfect model scenario. PSAS is a 3D-Var assimilation system used operationally in the Goddard Earth Observing System Data Assimilation System (GEOS-4 DAS). The comparison is carried out using simulated winds and geopotential height observations and the finite volume Global Circulation Model with 72 grid points zonally, 46 grid points meridionally and 55 vertical levels. With forty ensemble members, the LETKF obtains analyses and forecasts with significantly lower RMS errors than those from PSAS, especially over the Southern Hemisphere and oceans. This observed advantage of the LETKF over PSAS is due to the ability of the 40-member ensemble LETKF to capture flow-dependent errors and thus create a good estimate of the evolving background uncertainty. An initial decrease of the forecast errors in the Northern Hemisphere observed in the PSAS but not in the LETKF suggests that the LETKF analysis is more balanced.

Original languageEnglish (US)
Pages (from-to)645-659
Number of pages15
JournalNonlinear Processes in Geophysics
Volume15
Issue number4
StatePublished - Jul 1 2008

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Kalman filters
Kalman filter
statistical analysis
NASA
general circulation model
Statistical methods
transform
Mathematical transformations
amsonic acid
experiment
Experiments
assimilation
EOS
forecasting
grids
geopotential height
Southern Hemisphere
Northern Hemisphere
geopotential
data assimilation

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Statistical and Nonlinear Physics

Cite this

Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM - Perfect model experiments. / Liu, J.; Fertig, Elana; Li, H.; Kalnay, E.; Hunt, B. R.; Kostelich, E. J.; Szunyogh, I.; Todling, R.

In: Nonlinear Processes in Geophysics, Vol. 15, No. 4, 01.07.2008, p. 645-659.

Research output: Contribution to journalArticle

Liu, J, Fertig, E, Li, H, Kalnay, E, Hunt, BR, Kostelich, EJ, Szunyogh, I & Todling, R 2008, 'Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM - Perfect model experiments', Nonlinear Processes in Geophysics, vol. 15, no. 4, pp. 645-659.
Liu, J. ; Fertig, Elana ; Li, H. ; Kalnay, E. ; Hunt, B. R. ; Kostelich, E. J. ; Szunyogh, I. ; Todling, R. / Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM - Perfect model experiments. In: Nonlinear Processes in Geophysics. 2008 ; Vol. 15, No. 4. pp. 645-659.
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