Quick and Dirty Validation of GEFS Reforecast Calibrated Precipitation Forecasts
Validation of GEFS reforecast calibrated precipitation forecasts against NARR analyses, focusing on reliability, upper and lower tercile outcomes, and Brier skill scores for different lead times. Challenges with NARR analyses in capturing snowfall events in the northern Great Plains are discussed, s
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Leveraging Reforecast Data to Enhance GEFS Forecast Accuracy
Utilizing historical reforecast data from the GEFS model, this study explores methods to improve forecast bias over different timeframes and seasons, highlighting the benefits and limitations of decaying averages for calibration. The analysis covers a range of years, focusing on biases in various mo
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Enhancing Meteorological Forecasting Through Reforecast Applications: Challenges and Solutions
Reforecast applications at the regional/WFO level provide crucial benefits in improving model forecast accuracy and reliability, particularly for challenges like resolution in complex terrains, climatology in desert regions, and addressing model biases. Challenges include resolution limitations in m
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