A Machine Learning-Based Dynamic SST Index for Long-Lead Malaria Prediction in the Peruvian Amazon. [PDF]
Abstract Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long‐lead predictability. In this study, we
Pan M +7 more
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Underestimated MJO variability in CMIP6 models. [PDF]
Le PVV +3 more
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A framework for developing a spatial high-resolution daily precipitation dataset over a data-sparse region. [PDF]
Yazdandoost F +3 more
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Trend analysis of rainfall from 1981-2022 over Zambia. [PDF]
Chisanga CB +4 more
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Precipitation nowcasting with radar data for evaluating multiple horizons using U-Net-based algorithm in Eastern Amazon. [PDF]
Rocha R +13 more
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A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset. [PDF]
Morin G +2 more
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Influence of Horizontal Model Resolution on the Horizontal Scale of Extreme Precipitation Events. [PDF]
Ali SMA, Tandon NF.
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Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale. [PDF]
Kendon EJ +6 more
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GloRESatE: A dataset for global rainfall erosivity derived from multi-source data. [PDF]
Das S +8 more
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Evaluation of Remotely Sensed and Interpolated Environmental Datasets for Vector-Borne Disease Monitoring Using In Situ Observations Over the Amhara Region, Ethiopia. [PDF]
Alemu WG, Wimberly MC.
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