A new measure of ensemble performance: Perturbation versus error correlation analysis (PECA)

By Mozheng Wei, Z. Toth. 2003

57 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5339f0eea4de6b88d262232baf7aa5923db53079

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. R. Wobus
2. Yuejian Zhu
3. Martin Leutbecher
4. Xuguang Wang
5. Z. Toth
6. Mozheng Wei
7. C. Bishop
8. L. Magnusson

In Environmental Engineering

1. R. Wobus
2. Yuejian Zhu
3. Martin Leutbecher
4. L. Magnusson
5. E. Källén
6. Xuguang Wang
7. Mozheng Wei
8. Z. Toth

In Global and Planetary Change

1. R. Wobus
2. Yuejian Zhu
3. Martin Leutbecher
4. Xuguang Wang
5. Z. Toth
6. Mozheng Wei
7. C. Bishop
8. L. Magnusson

Citations in the corpus

• Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system (2008, methodology): “More details are available in Wei and Toth (2003).”
• Comparison between Singular Vectors and Breeding Vectors as Initial Perturbations for the ECMWF Ensemble Prediction System (2008, methodology): “The full ensemble prediction systems of NCEP and ECMWF have been compared in a number of studies (e.g., Buizza et al. 2005; Froude et al. 2007; Wei and Toth 2003).”
• Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP (2006, methodology): “In this subsection, we use PECA to study the correlation between ensemble perturbations and forecast errors, as described in Wei and Toth (2003).”