THE WORK THAT WILL BE PERFORMED AT THE UNIVERSITY OF MICHIGAN BY .F. ADAMES-CORRALIZA WILL FOCUS ON SIMULATIONS OF THE MADDEN-JULIAN OSCILLATION (MJO). SIMULATIONS OF THE MJO EXHIBIT A SIGNIFICANT IMPROVEMENT IN THE CMIP6 DATASET. FOR INSTANCE GFDL CM4.0 EXHIBITS LARGER TROPICAL WAVE VARIABILITY THAN CM2.1 AND THE SIGNAL CLOSELY FOLLOWS THE DISPERSION CURVES OF KNOWN EQUATORIAL WAVES. OF PARTICULAR INTEREST IS THE STRONG SIGNAL-TO-NOISE RATIO AT INTRASEASONAL TIMESCALES WHICH INDICATES STRONG MJO-LIKE VARIABILITY IN THIS MODEL. OTHER CMIP6 MODELS ALSO EXHIBIT THIS ROBUST VARIABILITY (E.G. GISS MODELE2.1 KIM ET AL. 2012; DEL GENIO ET AL. 2015A;B) AS DO FORECAST MODELS (E.G. GEOS-S2S-V2 GEFS SUBX COMPARED TO EARLIER VERSIONS). ANALYSIS OF HIGHER FREQUENCY DATA FOR THE MJO WILL FOLLOW ADAMES ET AL. (2017A;B). STATISTICS OF MJO PERFORMANCE WILL INCLUDE PATTERN CORRELATIONS WITH RESPECT TO OBSERVATIONS (JIANG ET AL. 2018) EAST-WEST POWER RATIO (ADAMES ET AL. 2017A) AND CLIMATE CHANGE STATISTICS (RUSHLEY ET AL. 2019).