Climate Models Underestimate Increase in Longest Annual Dry Spells Globally
Climate model projections underestimate the increase in the longest annual dry spells globally by 42-44% on average compared to current high-end scenarios.
Causal Inference between El Niño-Southern Oscillation and Indian Ocean Dipole using Linear Inverse Modeling with White and Colored Noise
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.
Climate Physicist Warns of Looming Atlantic Ocean Tipping Point Within 23 Years
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 Summer Was the Warmest on Record in Over 2,000 Years
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.
2023 Northern Hemisphere Summer Temperatures Reach Unprecedented Highs in the Past 2,000 Years
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.
Changing Wind Patterns: Exploring the Impacts of Global Stilling and Shifting Atmospheric Currents
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.
Assessment of Climate Change Impacts on Precipitation and Temperature in Mumbai Using Physics-Informed ConvLSTM2D Models
Integrating physics-informed deep learning models improves rainfall prediction accuracy at finer spatial scales.
Climate Downscaling: Deep-Learning Model for Precipitation Data
Mitigating climate impacts through deep-learning precipitation downscaling.
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting at ICLR 2024 Workshop
Calibration of neural networks is crucial for reliable and sharp sub-seasonal forecasting in climate sciences.
Evaluation and Ranking of Explainable AI Methods in Climate Science
Introduction of XAI evaluation metrics for climate science applications.
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