Extracting predictable signals from observational precipitation data: A new approach to seasonal precipitation prediction
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Nov-2026 07:16 ET (3-Nov-2026 12:16 GMT/UTC)
In a paper published in SCIENCE CHINA Earth Sciences, researchers at Sun Yat-sen University developed an SFA-based Climate Prediction (SCP) method, which directly extracted slow-varying predictable signals from observed precipitation data and applied it to seasonal prediction of summer precipitation over South China. Independent forecasts for 2011–2022 show that the SCP method achieves a regional mean temporal correlation coefficient of 0.36 and accurately predicted the sign of regional-mean precipitation anomalies in 10 of 12 summers, outperforming two dynamical models and a hybrid dynamical–statistical prediction system. The study provides a new perspective to identifying potentially predictable signals and improving regional seasonal precipitation prediction.
Robots often learn from historical experience collected under older controllers and physical conditions. When tasks, hardware or environments change, that data can become misleading. Researchers developed Occupancy-Matching Policy Optimization (OMPO), which anchors large replay buffers to a small set of recent interactions. Across locomotion, transfer, manipulation and a real-robot test, OMPO improved stability, sample efficiency and adaptation.
A new study published in Biomedical Analysis reports a protein-coated nanoparticle platform that combines the powerful light-to-heat conversion ability of copper sulfide with the biological compatibility of albumin, offering a potential strategy for safer photothermal cancer therapy.
This collection features articles on Supramolecular Hydrogel published in Supramolecular Materials. All articles are free to read and download.
A new study in Energetic Materials Frontiers provides a detailed picture of how aluminum combustion evolves after detonation and how this process contributes to the sustained thermal and blast-wave effects of CL-20-based thermobaric explosives. By combining high-speed infrared thermography, blast-wave measurements and theoretical modeling, the researchers show that thermobaric explosives differ fundamentally from TNT in the spatial organization and temporal evolution of their fireballs. More importantly, the work identifies a key transition around 30 ms after detonation, when the dominant contribution shifts from early oxygen-deficient aluminum combustion to secondary post-combustion involving entrained atmospheric oxygen.
Researchers have developed a dimethyl-substituted energetic molecular perovskite, DAP-DM4, by rationally modifying the A-site cation of the DAP-4 framework. Single-crystal analysis reveals that double methylation induces a structural transformation from the conventional three-dimensional perovskite network to a one-dimensional chain architecture, while simultaneously eliminating labile N–H bonds. This molecular passivation raises the decomposition temperature to 373.5 °C and improves friction insensitivity, providing a new strategy for designing ultra-heat-resistant perovskite energetic materials.
A recent study published in the National Science Review reveals that the tradition of wrapping grains in leaves may date back as far as 2,200 years ago. Leaf-wrapped plant bundles unearthed at the Wuwangdun Site—believed to have served as funerary offerings—are now considered an early precursor to zongzi, the iconic traditional Chinese food enjoyed during the Dragon Boat Festival.