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Weekly Meeting 07Jul2017

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Weekly Meeting 07Jul2017

 Co-variability between SCP and LSR

o SVD analysis: CFSR SCP vs. LSR (hail, tornado, wind) o Daily data, 1996–2012

 Linear regression model for forecasting LSR o Using GEFS predicted SCP as a predictor o Forecasts for MAM

o Forecast skill assessed based cross-validation o Anomaly correlation

o Hit rate (3 categories, 33% each)

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Co-variability: SCP vs. Hail

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Co-variability: SCP vs. Tornado

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Co-variability: SCP vs. Wind

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Correlation: Predicted SCP vs. LSR

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Forecast Skill Cross-validation

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 The correlation (GEFS SCP, OBS LSR) can be increased by averaging both SCP and LSR anomalies in a larger domain prior to calculating the correlation.  The skill for forecasting

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The standard deviation of the forecasted LSR3 anomalies is much smaller than the observed for both weeks 1 and 2.2. The forecasted LSR3 anomalies

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90 days