A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations-Reference-Cited by-同舟云学术

A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations

Published:2009-06-01 Issue:6 Volume:137 Page:1991-1999
ISSN:1520-0493
Container-title:Monthly Weather Review
language:en
Short-container-title:

Author:

Whitaker Jeffrey S.¹,Compo Gilbert P.²,Thépaut Jean-Noël³

Affiliation:

1. Physical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado

2. Climate Diagnostics Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, and Physical Sciences Division, NOAA Earth System Research Laboratory, Boulder, Colorado

3. European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom

Abstract

Abstract An observing system experiment, simulating a surface-only observing network representative of the 1930s, is carried out with three- and four-dimensional variational data assimilation systems (3D-VAR and 4D-VAR) and an ensemble-based data assimilation system (EnsDA). It is found that 4D-VAR and EnsDA systems produce analyses of comparable quality and that both are much more accurate than the analyses produced by the 3D-VAR system. The EnsDA system also produces useful estimates of analysis error, which are not directly available from the variational systems.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Link

http://journals.ametsoc.org/mwr/article-pdf/137/6/1991/4248030/2008mwr2781_1.pdf

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