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RESEARCH

THE SUBSEASONAL EXPERIMENT (SUBX)

 A research-to-operations project, providing a research database and real-time subseasonal forecasts

ENSO DIVERSITY & PREDICTABILITY

Several mechanisms originating in the Northern and Southern Hemisphere extratropics have been identified as able to stochastically force ENSO events. Our research is investigating these mechanisms in observations and climate models using machine learning and information theory.

We study the tropical and extratropical mechanisms that impact the diversity and predictability of ENSO.  Several mechanisms originating in the Northern and Southern Hemisphere extratropics have been identified as able to stochastically force ENSO events. Our research is investigating these mechanisms in observations and climate models using machine learning and information theory.

News Articles

Climate.gov ENSO Blog: A visit to the zoo: climate patterns that can precede ENSO

Journal Articles

ENSEMBLE PREDICTION AND PREDICTABILITY OF EXTREME WEATHER VIA CIRCULATION REGIMES

The goal of this work is to advance the predictive capability of extreme weather (storminess and precipitation) on the subseasonal to seasonal time scales, over the Euro-Atlantic and Pacific-North American regions, using multi-model ensembles of reforecasts and forecasts from S2S, SubX, NMME.

DECADAL PREDICTION AND PREDICTABILITY OF EXTREMES IN OCEAN EDDY RESOLVING COUPLED MODELS

Our research is diagnosing the processes responsible for initiation and propagation of the MJO and its relationship with extreme precipitation in low and high resolution initialized forecasts from SubX, CESM, and E3SM.

APPLICATIONS OF SUBSEASONAL & SEASONAL PREDICTIONS TO COASTAL RESILIANCE & MARINE ECOSYSTEMS

I collaborate with other scientists to apply advances in subseasonal and seasonal predictions to improve local forecasts of storm surge and sea surface temperatures in marine ecosystems, coastal regions,  and estuaries.

Journal Articles