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Analyzing Low Frequency Atmospheric Variability in GFS Models

This study evaluates the performance of GFS models in simulating low frequency atmospheric variability (LFV) by comparing two versions, GFS1 and GFS2. Using monthly data from AMIP-type runs (1949-2002), we investigate the variability in Z200 and precipitation patterns. Our analysis reveals significant differences attributed to a "bias" in tropical heating, which impacts the Pacific jet's eastward extension. Both models effectively generate realistic LFV patterns, although discrepancies in simulation outcomes can be explained by their differing radiation packages.

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Analyzing Low Frequency Atmospheric Variability in GFS Models

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  1. Low Frequency Atmospheric Variability in GFS Models Peitao Peng Acknowledgment: Bhaskar, Arun and Huug

  2. Purposes • The performance of GFS models in simulating the low frequency variability (LFV) of the atmosphere; • Differences between the two versions of GFS models in LFV; • Dynamical interpretation of the differences.

  3. Data Model: Monthly Z200 and Prate from the AMIP-type runs (1949-2002) with GFS1 and GFS2. (Note: the difference between GFS1 and GFS2 is that they uses different radiation packages) OBS: Monthly Z200 from NCEP reanalysis (1949-2002)

  4. Mechanism: “bias” in tropical heating Pacific jet eastward extension LFV eastward shifting

  5. Summary • Either version of the GFS models can generate very realistic LFV patterns. • Some differences in LFV patterns between the two models can be explained the “bias” in tropical heating.

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