A machine learning model for detecting and quantifying tropical cyclone related disturbance and recovery in estuaries. [PDF]
Ibrar MA, Usama M, Salman AM.
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Abstract Although heavy rainfall and the input of unsenescent litter produced by tropical cyclones can profoundly affect the activities of soil nitrogen (N) cycling‐related enzymes in coastal mountain forest ecosystems in the short term, the immediate responses of these enzymes to typhoon disturbances and the underlying mechanism remain unknown.
Rui Cao +11 more
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Evaluation of model-simulated tropical cyclone response on the biogeochemical parameters using profiling float observations in the Arabian Sea. [PDF]
Thangaprakash VP +8 more
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This work provides a comprehensive annual review of 2025 progress in CCUS, integrating advances across scientific, technological, and policy dimensions. ABSTRACT This annual review summarizes the progress of carbon capture, utilization, and storage (CCUS) technologies in 2025.
Shangli Shi, Yun Hang Hu
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Global expansion of tropical cyclone precipitation footprint. [PDF]
Qin L +8 more
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Global changes in extreme tropical cyclone wave heights under projected future climate conditions. [PDF]
Grossmann-Matheson G +3 more
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Dependence of tropical cyclone seeds and climate sensitivity on tropical cloud response. [PDF]
Hsieh TL +5 more
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Advancing forecasting capabilities: A contrastive learning model for forecasting tropical cyclone rapid intensification. [PDF]
Wang C, Yang N, Li X.
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Leading role of Saharan dust on tropical cyclone rainfall in the Atlantic Basin. [PDF]
Zhu L +4 more
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