Extended study of MJO signal in the NCEP Global Ensemble Forecast System

Friday, 19 December 2014
Yuejian Zhu1, Malaquias Pena1, Dingchen Hou1, Xiaqiong Zhou1 and Qin Zhang2, (1)NOAA College Park, College Park, MD, United States, (2)CPC NCEP, College Park, MD, United States
To enhance numerical forecast guidance and predictability for week 3 & 4, and build up seamless forecast system across all time scales, a series of 35-day extended ensemble forecast experiments with the most recent version of the GEFS are carried out. Three identical configurations of the GEFS with distinct treatment of the SSTs are compared. The first configuration, referred to as the benchmark consists of keeping the default configuration, which damps the initial SST anomaly to climatology. In the second configuration, akin to AMIP runs, the global SST analysis fields are prescribed every 24-hour as the integration of the prediction system progresses. The third configuration uses predicted SST anomalies from the CFSv2, which is a coupled model with a low resolution GFS model as its atmospheric component. One critical aspect sought in the comparison of configurations is to determine the level at which MJO signal is captured and how the signal is propagated through the extratropics via teleconnections (such as mid-, high-latitude blocking). In the benchmark experiments, a strong relationship between the prediction skill of extratropical flow and the MJO signal is found, with high skills during periods of strong MJO signal. This suggests that the atmospheric model adequately responds to forcing in the tropical Pacific. Prediction skills of main variables near the surface tend to decay fast beyond one week but upper level variables have useful skills beyond two weeks. Results of the second and third configuration indicate small changes in the flow of the extratropics but the bias of low-level and surface tropical variables is reduced. This talk will present diagnostics and skill assessments of the comparison.