Multiscale Statistical Properties of a High-Resolution Precipitation Forecast

By D. Harris, E. Foufoula‐Georgiou, Kelvin Droegemeier, Jason J. Levit. 2001

159 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/21d3bde93aae154f5043fb4544ee6a754c24e027

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. Barbara Casati
2. Elizabeth E. Ebert
3. Neill Bowler
4. C. Pierce
5. I. Zawadzki
6. B. Brown
7. Islam Molla
8. Md Khademul

In Global and Planetary Change

1. Barbara Casati
2. Elizabeth E. Ebert
3. Neill Bowler
4. C. Pierce
5. I. Zawadzki
6. B. Brown
7. Islam Molla
8. Md Khademul

Citations in the corpus

• Resolution Requirements for the Simulation of Deep Moist Convection (2003, background): “A power spectrum analysis of the precipitation fields revealed excellent comparison from large scales to a scale of about 5D. Harris et al. (2001) conclude that only information at scales greater than approximately 5D should be considered useful for most applications.”
• STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP (2006, background): “(b) Skill and variability of the NWP model forecast Since precipitation forecasts from NWP models have been shown to be too smooth (Harris et al. 2001), it is expected that extra variability will have to be injected into the NWP forecast at scales below those adequately resolved.”
• Precipitation forecast skill of numerical weather prediction models and radar nowcasts (2005, background): “Like many other atmospheric fields, precipitation power spectra exhibit the power-law distribution in terms of the associated wavenumbers, E(k) ∼ k , (Harris et al., 2001).”
• Empirical mode decomposition analysis of climate changes with special reference to rainfall data (2006, methodology): “EMPIRICAL MODE DECOMPOSITION ANALYSIS OF CLIMATE CHANGES WITH SPECIAL REFERENCE”
• Intercomparison of Spatial Forecast Verification Methods (2009, background): “The answer to the second question is generally yes for some of the scale decomposition approaches [e.g., Harris et al. (2001) and Zepeda-Arce et al. (2000) assess scale-invariant parameters related to the spatiotemporal organization of precipitation fields], but no for most other approaches.”
• Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting (2005, background): “Spatial rainfall data contain information at a broad range of spatial scales (Schertzer and Lovejoy, 1987; Harris et al., 2001; Pegram and Clothier, 2001).”
• Forecast verification: current status and future directions (2008, background): “Zepeda-Arce et al. (2000), Harris et al. (2001) and Tustison et al. (2003) assess the capability of forecasts to reproduce the observed spatiotemporal and multi-scale spatial structure of precipitation fields by the evaluation of scale-invariant parameters.”