Bridging the gap between weather and seasonal forecasting: intraseasonal forecasting for Australia

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Potential applications of subseasonal‐to‐seasonal (S2S) predictions (2017, background): “, 2012) as it is notoriously difficult to provide skilful predictions on subseasonal or monthly timescales (Hudson et al., 2011); however, recent advances have spurred an increasing interest in S2S prediction (Brunet et al.”
Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia (2015, methodology): “DEP deviation of effective precipitation EDI Effective Drought Index EDIo observed Effective Drought Index EDIp predicted Effective Drought Index ELM extreme learning machine EP effective precipitation GCM global circulation model Hardlim hard limit IOD Indian Ocean Dipole JISAO Joint Institute of t”