Spectral nudging to eliminate the effects of domain position and geometry in regional climate model simulations

By G. Miguez‐Macho, Georgiy L. Stenchikov, A. Robock. 2004

382 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1bb246ac20714050fcbb30130b5001f96925120c

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. René Laprise
2. Hans von Storch
3. B. Rockel
4. F. Feser
5. S. Somot
6. Michel Déqué
7. R. Radu
8. A. Sorteberg

In Global and Planetary Change

1. René Laprise
2. Hans von Storch
3. B. Rockel
4. F. Feser
5. S. Somot
6. Michel Déqué
7. R. Radu
8. A. Sorteberg

Citations in the corpus

• Spectral nudging in a spectral regional climate model (2008, methodology): “The spectral nudging scheme used in this study is similar to the spectral nudging method, originally described by Waldron et al. (1996) and later by von Storch et al. (2000), Biner et al. (2000), Miguez-Macho et al. (2004), Castro et al. (2005).”
• Regional climate modelling (2008, methodology): “For some applications an additional nesting contribution known as large-scale nudging (e.g. [104] [12] [72]) is advantageous: WðX ; Y ; Z; t þ DtÞ ¼ W f ðX ; Y ; Z; t þ DtÞ þ a W ðX ; Y ; ZÞðW 0 ðX ; Y ; Z; t þ DtÞ À W f ðX ; Y ; Z; t þ DtÞÞ þ ðÀ1Þ n b W ðX ; Y ; ZÞr 2n ðW 0 ðX ; Y ; Z; t þ DtÞ À W…”
• Dynamical downscaling of ERA-40 in complex terrain using the WRF regional climate model (2011, methodology): “We applied the spectral nudging technique following previous studies by Miguez-Macho et al. 2005 and Radu et al. 2008.”
• Regional climate model sensitivity to domain size (2006, background): “On the other hand, a too wide domain can lead to the development of large-scale circulation different from the nesting data, unless large-scale (spectral) nudging is applied (e.g. Miguez-Macho et al. 2004 ).”
• Regional climate models add value to global model data, A Review and Selected Examples (2011, background): “RCMs are forced by time-variable conditions along the lateral atmospheric boundaries, sometimes also with large-scale constraints in the interior (von Storch et al. 2000; Miguez-Macho et al. 2004; Castro et al. 2005).”