A Dynamic and Spatial Scaling Approach to Advection Forecasting

By A. Seed. 2001

263 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/8c7af2ce238da94fd0b845c65e383b6427792c98

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. Neill Bowler
2. C. Pierce
3. I. Zawadzki
4. A. Seed
5. Gyuwon Lee
6. Urs Germann
7. A. Kilambi
8. G. Pegram

In Global and Planetary Change

1. Neill Bowler
2. C. Pierce
3. I. Zawadzki
4. A. Seed
5. Gyuwon Lee
6. Urs Germann
7. A. Kilambi
8. G. Pegram

Citations in the corpus

• STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP (2006, methodology): “This is similar to the original S-PROG approach (Seed 2003) and is chosen because the noise will be maintained in a separate cascade.”
• McGill algorithm for precipitation nowcasting by lagrangian extrapolation (MAPLE) applied to the South Korean radar network. Part I: Sensitivity studies of the Variational Echo Tracking (VET) technique (2009, methodology): “…been formulated by Germann and Zawadzki (2004), the implementation of a filtered forecast that removes the perishable scales has been carried out by Seed (2003) and by Turner et al. (2004) while the limits of predictability have been examined with a much larger data set by Germann et al. (2006).”
• Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology (2002, methodology): “A similar technique proposed by Seed and Keenan (2001) uses a Fourier-notch-filter for scale decomposition, and advects each scale with its own decorrelation time.”
• Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting (2005, background): “It has been suggested in the literature (Seed, 2003; Turner et al., 2004) that the lower frequency components exhibit more temporal persistence than the higher ones; this premise is used here to prepare the data for nowcasts based on the evolution of the lower frequency components of space-time…”