MJO influence on severe weather synoptic conditions

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MJO influence on severe weather synoptic conditions Matthew Vaughan Department of Atmospheric and Environmental Sciences University at Albany/SUNY Albany, NY 12222 ATM 401/501 Final Presentation SUNY-Albany Albany, New York Monday 12 May 2014

Background Madden-Julian Oscillation (MJO) is a planetary-scale pattern of winds and convection that propagates eastward Tropical convection can generate Rossby wave trains that influence mid-latitude flow as they propagate towards the poles (Sardeshmukh and Hoskins 1988)

Motivation 1974-2010 (all year) Thompson and Roundy (2012) Fraction of days categorized as VTDs by RMM phase >1.0 amplitude (solid bars). Periods when RMM amplitude was <1 appear in the “<1” bar, and the full climatology appears in the “All” bar. Clear bars and lines within the solid bars together represent the 90% confidence interval obtained from a Monte Carlo test.

Motivation 1974-2010 (March, April, and May) Thompson and Roundy (2012) Fraction of days categorized as VTDs by RMM phase >1.0 amplitude (solid bars). Periods when RMM amplitude was <1 appear in the “<1” bar, and the full climatology appears in the “All” bar. Clear bars and lines within the solid bars together represent the 90% confidence interval obtained from a Monte Carlo test.

Motivation Aid in medium range forecasting skill for convection in the Eastern CONUS MJO lead times of 14-17 days demonstrated by Maharaj and Wheeler (2005).

Methodology MJO phase determined by Real- time Multivariate MJO (RMM) index (Wheeler and Hendon 2004) Dataset consists of phase-2 MJO events between 2003-2013 with an RMM amplitude >1 Design algorithm to do this > Algorithm method

Methodology Build composite mean and anomaly charts to assess synoptic conditions surrounding phase- 2 MJO events using NOAA/ESRL software Examine days leading up to during, and after the onset of phase-2 MJO event. Design algorithm to do this > Algorithm method

Results 16 MJO phase-2 events occurred between 2003-2013 during March, April, and May (MAM) with an RMM amplitude >1 11 events met the criteria for inclusion based on ENSO conditions

Results a.) b.) c.) Composite 300-hPa geopotential height anomaly (contour interval of 20 m with warm colors positive and cool colors negative) Time lags of (a) -7, (b) -3, (c) 0, days until the onset of the MJO.

Day +1 a.) b.) c.) Composite (a) 500-hPa geopotential height anomaly (interval of 20 m), (b) 850-hPa geopotential height anomaly (interval of 10 m), and (c) columnar precipitable water anomaly (interval of 1 kg/m2)

Day +3 a.) b.) c.) Composite (a) 500-hPa geopotential height anomaly (interval of 20 m), (b) 850-hPa geopotential height anomaly (interval of 10 m), and (c) columnar precipitable water anomaly (interval of 1 kg/m2)

Day +5 a.) b.) c.) Composite (a) 500-hPa geopotential height anomaly (interval of 20 m), (b) 850-hPa geopotential height anomaly (interval of 10 m), and (c) columnar precipitable water anomaly (interval of 1 kg/m2)

Conclusion MJO is an important teleconnection feature for mid-latitude weather patterns Results suggest Eastern US has more favorable synoptic precursors to severe weather during MAM phase-2 MJO MJO-factor can influence medium-range forecasts

Day +7 a.) b.) Composite (a) 500-hPa geopotential height anomaly (interval of 20 m), (b) 850-hPa geopotential height anomaly (interval of 10 m).