The Atlantic Multidecadal Oscillation (AMO) — a low-frequency variability in sea surface temperature that repeats roughly every 40 to 80 years in Atlantic — impacts global climate and influences frequency and severity of extreme weather events. High-resolution models can improve simulations of AMO, but researchers did not understand how. Now, an international team has figured out why more detailed models can simulate the AMO in a way that better matches with observed data.

Recently, the team of Prof. Nishuang Liu and Prof. Yihua Gao from Huazhong University of Science and Technology has reviewed the recent advances in self-powered sensors based on ionic hydrogels. The review was published in Research as “Recent Advances in Self-Powered Sensors Based on Ionic Hydrogels”. This review systematically summarizes the self-powered mechanism of ionic hydrogel self-powered sensors, structural engineering related to device and material properties, and related applications, and discusses the challenges and future development of ionic hydrogel self-powered sensors.

A recent study has introduced the next-generation Vegetation Photosynthesis Model (VPM 3.0), delivering a major leap in the accuracy of global gross primary production (GPP) estimates.