Climate model projections underestimate the increase in the longest annual dry spells globally by 42-44% on average compared to current high-end scenarios.
The causality between ENSO and IOD is mutual but asymmetric, with the causality map reflecting an ENSO-like pattern. Modeling the environmental noise as colored noise reveals a hotspot of noise memory in the Niño 3 region, which is further related to the information flow.
The Atlantic Meridional Overturning Circulation (AMOC), a vital ocean circulation system, is showing signs of faltering and could reach a tipping point within the next 23 years, potentially leading to catastrophic climate disruptions.
Last year's record-breaking global temperatures and extreme heat events around the world, including heatwaves linked to wildfires and reduced harvests, indicate a concerning trend of climate change.
The 2023 Northern Hemisphere summer was the warmest on record over the past 2,000 years, exceeding the 95% confidence range of natural climate variability by more than half a degree Celsius.
Global average wind speeds are slowing down over the long term, a phenomenon known as "Global Stilling," which has significant implications for climate systems and weather patterns.
Integrating physics-informed deep learning models improves rainfall prediction accuracy at finer spatial scales.
Mitigating climate impacts through deep-learning precipitation downscaling.
Calibration of neural networks is crucial for reliable and sharp sub-seasonal forecasting in climate sciences.
Introduction of XAI evaluation metrics for climate science applications.