A 30 year analysis of the simultaneous signals in the MJO and ERWs and the associated signals in 200-hPa streamfunction anomalies, 500-hPa geopotential height anomalies and 1000-hPa temperature anomalies is performed using the Climate Forecast System (CFS ) version two reanalysis dataset. A real time ERW index is used to define a phase space for tracking ERWs while Wheeler and Hendon's RMM index is utilized to identify the MJO. Statistical analysis is utilized to identify a systematic approach to grouping ERW signals based on statistically similar extratropical responses. Composite maps, histograms, and tables are then generated to diagnose how interactions between the MJO and ERW affect the risk for heat or cold over the continental United States.
This presentation will identify the constructive and destructive relationships between the MJO, ERW and heat and cold risk across the Midwest-East (US) region as defined by EarthRisk Technologies. Results from the operational implementation of the aforementioned MJO and ERW interactions will also be presented.
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