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•Base period for estimation of anomalies is 1991-2020
•The dotted area shows that the ratio of signal (the ensemble mean) to noise (the ensemble spread) is greater than one. •For "CNN El Nino index 2-yr forecast",convolutional neural network (CNN)-based statistical prediction of 3 monthly averaged Nino3.4 index (see details in [Patil et al. 2022, Frontiers in Climate]. •For "East African short rains index", predictions of anomalous precipitation averaged in 10°S–10°N; 30°E–45°E (EASR index) are provided (mm/day). For "East African short rains", the East Africa zoom version of the predicted precipitaion anomaly with EASR index predictions during October–December(OND) by the statistical-dynamical hybrid system ("S.-D.") and convolutional neural network (CNN)-based statistical prediction {"CNN"},and the the dynamical ("Dynamical") system are also provided (see details in Doi et al. (2022, GRL) and [Patil et al. 2023, npj climate and atmosphereic science]. •For "Tropical Cyclone Frequency Anomaly",tropical cyclones (TC) are detected from the six hourly outputs by "owz" method. Once the complete set of TC paths has been computed, total TC is counted over each 5° grid cell in JJA and SON for each year.(see details in Doi et al. (2025, npj Climate and Atmospheric Science) ) |
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•Base period for estimation of anomalies is 1991-2020
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