Tropical singular vectors computed with linearized diabatic physics
By J. Barkmeijer, Roberto Buizza, Tim N. Palmer, K. Puri, Jean-François Mahfouf. 2001
136 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b0d331465bd681b7d645a946624f6917c769434d
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
- Martin Leutbecher
- Tim N. Palmer
- G. Shutts
- J. Berner
- L. Magnusson
- E. Källén
- Sharanya J. Majumdar
- P. Finocchio
In Global and Planetary Change
- Martin Leutbecher
- Tim N. Palmer
- G. Shutts
- J. Berner
- L. Magnusson
- E. Källén
- Sharanya J. Majumdar
- P. Finocchio
Citations in the corpus
- A new measure of ensemble performance: Perturbation versus error correlation analysis (PECA) (2003, background): “This result is consistent with that of Saha (2001) who, using a technique developed by Van den Dool et al. (2000), found that ECMWF forecasts contain less large-scale systematic error than NCEP forecasts.”
- Comparison between Singular Vectors and Breeding Vectors as Initial Perturbations for the ECMWF Ensemble Prediction System (2008, methodology): “To obtain perturbations consistent with analysis error statistics, Palmer et al. (1998) argue that singular vectors should be computed with an analysis error covariance norm as the initial time norm.”
- On the relative benefits of a multi‐centre grand ensemble for tropical cyclone track prediction in the western North Pacific (2012, methodology): “Barkmeijer et al., 2001; Puri et al., 2001). Some benefits of ensemble TC track predictions are that they perform better on average than deterministic predictions, they capture observed tracks that deterministic predictions may miss, and they provide confidence information through the ensemble sprea”
- Ensemble forecasting (2008, background): “the tangentlinear model grossly overestimated the growth of these structures in the nonlinear model [75].”
- A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System (2009, background): “So far, attempts to obtain general perturbations for the tropical region with singular vectors were hampered by the fact that some of the leading singular vectors identified structures that do not result in growing perturbations in the nonlinear model (Barkmeijer et al. 2001).”
- The ECMWF ensemble prediction system: Looking back (more than) 25 years and projecting forward 25 years (2018, background): “Moist singular vectors are used for perturbations targeted on tropical cyclones (Barkmeijer et al., 2001; Puri et al., 2001).”
- A Method for Identifying the Sensitive Areas in Targeted Observations for Tropical Cyclone Prediction: Conditional Nonlinear Optimal Perturbation (2009, background): “(2001), and Errico et al.(2004) investigated the moist SV.”
- On the Ability of Global Ensemble Prediction Systems to Predict Tropical Cyclone Track Probabilities (2010, methodology): “In addition to the 50 routine hemispheric SVs that use a dry total energy norm (Buizza and Palmer 1995), 5 extra SVs with a diabatic version of the tangent-linear model and moist total energy norm are computed in up to six subspaces enclosing tropical cyclones, at T42 resolution and with 42 vertical”